The DOI matches its Crossref record; 221 of the 221 references it cites were found in a registry or an index; 78 of the 198 sources its claims cite were checked for support.
Microfluidic modelling of the tumor microenvironment for anti-cancer drug development
Open accessAbstract
Cancer is the leading cause of death worldwide. The complex and disorganized tumor microenvironment makes it very difficult to treat this disease. The most common in vitro drug screening method now is based on 2D culture models which poorly represent actual tumors. Therefore, many 3D tumor models which are more physiologically relevant have been developed to conduct in vitro drug screening and alleviate this situation. Among all these models, the microfluidic tumor model has the unique advantage of recapitulating the tumor microenvironment in a comparatively easier and representative fashion. While there are many review papers available on the related topic of microfluidic tumor models, in this review we aim to focus more on the possibility of generating "clinically actionable information" from these microfluidic systems, besides scientific insight. Our topics cover the tumor microenvironment, conventional 2D and 3D cultures, animal models, and microfluidic tumor models, emphasizing their link to anti-cancer drug discovery and personalized medicine.
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Claims the paper makes
47 Own interpretation · 32 No full text of the sources · 28 Partly supported · 14 Supported · 11 Sources not found · 10 No basis given · 6 Couldn’t confirm · 4 Supported so far · 2 Mixed support · 2 Not supported · 2 Not checked yet · accuracy not yet measured
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“Through this, it was shown that adenosine played an important role in promoting tumor cells extravasation.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Disputedcites [98] 98. Jeon, J.S., et al., Human 3D vascularized organotypic microfluidic assays to study breast cancer cell extravasation. Proceedings of the National Academy of Sciences, 2015. 112(1): p. 214-219. sourceExperimental — accuracy not yet measured
The Results (p. 5) report that adding adenosine significantly reduced cancer cell extravasation, from 56.5% to 12.7%, rather than promoting it. The Fig. 3 caption (p. 6) confirms that extravasation decreased with adenosine. (LLM, conf=0.94)
Checked by a reasoning model — may be wrong.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Disputed
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“By blocking A3 adenosine receptors, cancer cells were observed to have a reduced extravasation rate.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Disputedcites [98] 98. Jeon, J.S., et al., Human 3D vascularized organotypic microfluidic assays to study breast cancer cell extravasation. Proceedings of the National Academy of Sciences, 2015. 112(1): p. 214-219. sourceExperimental — accuracy not yet measured
The Results (p. 5) report the opposite effect: blocking A3 adenosine receptors with PSB-10 significantly increased cancer cell extravasation in C2C12-containing matrices, from 8.2 ± 2.3% to 32.4 ± 7.7%. The Fig. 3 caption (p. 6) also states that extravasation increased with receptor blockade. (LLM, conf=0.95)
Checked by a reasoning model — may be wrong.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Disputed
Some cited sources support this claim and some don’t — read each source’s verdict below.
In the paper
“The uniformly elevated IFP in tumor center is responsible for inhibiting drug delivery [172, 178, 186] while the steep pressure gradients at the periphery favors tumor growth and metastasis[154,[187][188][189][190].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 6. Conclusion
What the sources say
- Disputedcites [154] sourceExperimental — accuracy not yet measured
The Introduction (page unavailable) links elevated tumor pressure to outward interstitial flow, but does not identify steep gradients at the tumor periphery or show that they favor growth. More importantly, the Results and Discussion (page unavailable) report that, despite increasing cell speed, flow impaired the cells’ ability to spread to a distant site—the opposite of the claimed effect on metastasis. (LLM, conf=0.85)
Checked by a reasoning model — may be wrong.
- Partly supportedcites [187] sourceExperimental — accuracy not yet measured
The Introduction says pressure falls sharply at the tumor margin, creating fluid flow that transports molecules and cells facilitating angiogenesis and metastasis. The Mathematical model section says less steep gradients could potentially reduce lymphatic metastasis. The paper does not explicitly link the peripheral gradient to tumor growth, and presents its effect on metastasis as a proposed mechanism rather than an established outcome. (LLM, conf=0.84)
- Partly supportedcites [188] sourceExperimental — accuracy not yet measured
The Introduction says interstitial fluid pressure may stretch the tumor cortex and thereby promote proliferation; the Discussion reports that lowering pressure reduced proliferation in a xenograft model. The Discussion also describes pressure falling from the tumor core toward the cortex. Neither passage establishes that steep peripheral pressure gradients favor metastasis, and the growth finding concerns pressure-induced stretch rather than the gradient itself. Page numbers are unavailable in our copy. (LLM, conf=0.86)
- Not checked — no full text of the sourcecites [189] source
- Partly supportedcites [190] sourceExperimental — accuracy not yet measured
The Results and the discussion on p. 2395 report that elevated pressure affected osteosarcoma-cell proliferation, with growth increasing in some cell lines and being suppressed in others. The paper does not show that steep pressure gradients at the tumor periphery favor growth, and it does not link those gradients to metastasis. (LLM, conf=0.84)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Disputed
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Over the years, research has demonstrated that the tumor microenvironment plays a key role in this process [3,6,7].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 1. Introduction
What the sources say
- Not checked — no full text of the sourcecites [3] 3. Hanahan, D. and R.A. Weinberg, Hallmarks of cancer: The next generation. Cell, 2011. 144(5): p. 646-674. source
- Not checked — no full text of the sourcecites [6] 6. Kessenbrock, K., V. Plaks, and Z. Werb, Matrix Metalloproteinases: Regulators of the Tumor Microenvironment. Cell, 2010. 141(1): p. 52-67. source
- Supportedcites [7] 7. Mantovani, A., et al., Cancer-related inflammation. Nature, 2008. 454(7203): p. 436-444. source
The opening section (p. 1) states that inflammation in the tumour microenvironment promotes metastasis. The section on invasion and metastasis (p. 5) further describes how inflammatory cells and mediators contribute to malignant-cell migration, invasion and metastasis. (LLM, conf=0.93)
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In the former, due to the physical contact between cells, this allows for the study of adhesion molecules such as Ncadherins [50].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.1 Two-dimensional models
What the sources say
- Partly supportedcites [50] 50. De Wever, O. and M. Mareel, Role of tissue stroma in cancer cell invasion. The Journal of Pathology, 2003. 200(4): p. 429-447. sourceExperimental — accuracy not yet measured
The sections “The normal epithelial ecosystem” and “The cancer ecosystem” describe co-culture systems and direct cell–cell contacts. “Molecular mechanisms of N-cadherin-mediated invasion and migration” links N-cadherin to cell–cell contact, but the paper does not say that direct co-culture is used to study adhesion molecules such as N-cadherin. (LLM, conf=0.83)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“The ECM is known to influence cell behavior in terms of cell migration, and anchorage, by serving as a medium to transmit external forces from environmental cues and even cell signaling throughout the entire lifespan of the cell and at critical phases in their lives [19,20].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
What the sources say
- Supportedcites [19] 19. Hynes, R.O., The Extracellular Matrix: Not Just Pretty Fibrils. Science, 2009. 326(5957): p. 1216-1219. source
The Introduction says the ECM provides substrates for cell motility, supports cell adhesion, and signals to cells through adhesion receptors. It also says matrix stiffness and deformability provide inputs into cell behavior, and that cells contact the ECM either continuously or at important developmental phases. (LLM, conf=0.91)
- Supportedcites [20] 20. Lu, P., V.M. Weaver, and Z. Werb, The extracellular matrix: A dynamic niche in cancer progression. Journal of Cell Biology, 2012. 196(4): p. 395-406. source
The “Properties and features of the ECM” section (page not provided) describes the ECM as an anchorage site or movement track that affects cell migration. It also explains how ECM elasticity shapes cells’ responses to external forces and how the ECM regulates signaling and cell behavior. (LLM, conf=0.90)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“For example, by studying the genetic alterations in the tumor cells, the events through which the stroma affects cancer cells can be elucidated [48].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.1 Two-dimensional models
What the sources say
- Partly supportedcites [48] 48. Mao, Y., et al., Stromal cells in tumor microenvironment and breast cancer. Cancer and Metastasis Reviews, 2013. 32(1-2): p. 303-315. sourceExperimental — accuracy not yet measured
The Abstract says that the molecular events through which reactive stromal cells affect cancer cells can be defined. Section 2.5 discusses genetic changes within tumor cells, but does not say that studying those changes is how stromal effects can be elucidated. The cited paper therefore supports the outcome, not the proposed method. (LLM, conf=0.87)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In the latter, signaling pathways between the different types of cells such as cancer cells and fibroblasts can be better studied [51].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.1 Two-dimensional models
What the sources say
- Partly supportedcites [51] 51. Casbas-Hernandez, P., J.M. Fleming, and M.A. Troester, Gene Expression Analysis of In Vitro Cocultures to Study Interactions between Breast Epithelium and Stroma. Journal of Biomedicine and Biotechnology, 2011. 2011: p. 1-12. sourceExperimental — accuracy not yet measured
Section 2.1 describes indirect transwell cocultures used to examine gene-expression responses between breast cancer cells and fibroblasts, including changes in a signaling pathway. It does not establish that signaling pathways are generally better studied in indirect than in direct coculture; it notes that direct contact can produce distinct profiles, although separating the cells requires additional steps. Page numbers were not provided in our copy. (LLM, conf=0.78)
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“As a tumor will be cultivated in vivo within these animals, it is also able to better mimic the molecular and histopathological features of cancer [40,41].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
What the sources say
- Partly supportedcites [40] 40. Kersten, K., et al., Genetically engineered mouse models in oncology research and cancer medicine. EMBO Molecular Medicine, 2017. 9(2): p. 137-153. sourceExperimental — accuracy not yet measured
The Abstract (p. 1) says tumors arising in advanced genetically engineered mouse models closely mimic the histopathological and molecular features of human cancers. The claim extends that finding to tumors cultivated in vivo in animals generally, but the Xenotransplantation section (p. 3) says in vivo cell-line inoculation models do not reflect the morphology and genetic heterogeneity of human cancers. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites [41] 41. Singh, M., C.L. Murriel, and L. Johnson, Genetically engineered mouse models: Closing the gap between preclinical data and trial outcomes. Cancer Research, 2012. 72(11): p. 2695- 2700. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Conversely, the reproducibility of a tumor also becomes an issue since a tumor is highly heterogeneous and varies not only between patients but also between different tumors or even within the same tumor inside an individual patient [38].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
What the sources say
- Partly supportedcites [38] 38. Swanton, C., Intratumor Heterogeneity: Evolution through Space and Time. Cancer Research, 2012. 72(19): p. 4875-4882. sourceExperimental — accuracy not yet measured
The Abstract describes heterogeneity between tumours and within individual tumours, and “Clinical Implications of ITH > A. Tumour Sampling Bias” explains how variation between sampled sites can complicate biomarker validation. The paper does not specifically address the reproducibility of tumour explants, so that application goes beyond what our copy establishes. (LLM, conf=0.83)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
- It may state two separate claims as one. 55
- Probably not a substantial claim. 24
Some cited sources support this claim and some don’t — read each source’s verdict below.
In the paper
“Instead of simultaneously culturing various cell types in the same chamber, a separate coculture system grows each cell type in a separate chamber and all the cell-cell interaction is achieved by substance diffusion through the culture media between individual culture chambers [131, 139-148] (Figure 4b).”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Not checked — no full text of the sourcecites [131] 131. Byrne, M.B., et al., Methods to study the tumor microenvironment under controlled oxygen conditions. Trends Biotechnol, 2014. 32(11): p. 556-563. 210. Chang, C.W., et al., A polydimethylsiloxane-polycarbonate hybrid microfluidic device capable of generating perpendicular chemical and oxygen gradients for cell culture studies. Lab Chip, 2014. 14(19): p. 3762-72. 211. Wang, Z., et al., Investigation into the hypoxia-dependent cytotoxicity of anticancer drugs under oxygen gradient in a microfluidic device. Microfluidics and Nanofluidics, 2015. 19(6): p. 1271-1279. 212. Lin, X., et al., Oxyge source
- Not checked — no full text of the sourcecites [139] source
- Partly supportedcites [140] sourceExperimental — accuracy not yet measured
The Anticipated Results section (page unavailable) describes different cell types cultured in separate channels and paracrine interactions across a hydrogel. But it also reports cells migrating through the gel to interact with other cells, so it does not support the claim that all interaction occurs by diffusion through culture media. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites [141] source
- Disputedcites [142] sourceExperimental — accuracy not yet measured
The Introduction says the two cell types were initially cultured in distinct compartments, but the barrier was then removed to create a region for migration and interaction. Results and Discussion reports physical contact between the cells. Thus, the paper contradicts the claim that all interaction occurred through substances diffusing in media between separate chambers. Page numbers were not supplied in our copy. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
- Supportedcites [143] source
The Materials and Methods section (Design and fabrication of the bionic invasion chip) places lung cancer cells and fibroblasts in separate chambers and describes their co-culture as non-contacting. It says fibroblast-secreted molecules can cross between chambers and describes culture-medium flow carrying secretions through the device. (LLM, conf=0.92)
- Partly supportedcites [144] sourceExperimental — accuracy not yet measured
The Experimental section describes culturing the two cell types in alternating gel channels, and the Conclusions say molecules can diffuse between adjacent channels. But the Conclusions also say cells can move across channel boundaries, and the Results report macrophages invading gels containing cancer cells. The paper therefore does not support the claim that all interaction occurs through diffusion in culture media. (LLM, conf=0.89)
- Supportedcites [145] source
Section 2.1 (page not provided) describes cells seeded into separate chambers without mixing. It states that diffusion ports allow soluble factors to pass between chambers while keeping the cell populations isolated, matching the cited description of indirect cell-cell interaction. (LLM, conf=0.91)
- Partly supportedcites [146] sourceExperimental — accuracy not yet measured
The device-fabrication and cell-observation passages describe four cell types grown in separate chambers, with channels allowing substances to diffuse between them. But the Cell morphological observations passage also reports a macrophage migrating through the matrigel toward bladder cancer cells, so the paper does not support the claim that all cell-cell interaction occurs by diffusion. (LLM, conf=0.88)
- Partly supportedcites [147] sourceExperimental — accuracy not yet measured
The Introduction (Figure 1 description) shows tumor cells and immune cells initially placed in separate chambers, with chemoattractant signals guiding immune cells through connecting microchannels. But it also describes immune cells migrating toward tumor cells; the Introduction says they must firmly bind their targets. Thus, the claim that all interaction occurs through diffusion between chambers is not supported. (LLM, conf=0.89)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Specifically, the tumor microenvironment has also been shown to induce tumor heterogeneity and promote the growth of a tumor itself [8,9].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 1. Introduction
What the sources say
- Partly supportedcites [8] 8. Joyce, J.A. and J.W. Pollard, Microenvironmental regulation of metastasis. Nature Reviews Cancer, 2009. 9(4). sourceExperimental — accuracy not yet measured
The passage beginning “Tumour–stroma interactions at the primary site” (page unavailable) says tumours exploit surrounding cells in processes that result in inappropriate growth. The passages do not say that the microenvironment induces tumour heterogeneity; describing tumours as complex mixtures of cell types does not establish that claim. (LLM, conf=0.86)
- Partly supportedcites [9] 9. Lalonde, E., et al., Tumour genomic and microenvironmental heterogeneity for integrated prediction of 5-year biochemical recurrence of prostate cancer: a retrospective cohort study. The Lancet Oncology, 2014. 15(13): p. 1521-1532. sourceExperimental — accuracy not yet measured
The Discussion (page unavailable in our copy) reports that preclinical work supports hypoxia generating genomic instability and selecting genetically unstable clones, which supports a role for the microenvironment in tumour heterogeneity. It links hypoxia to metastatic capacity, but does not say that the microenvironment promotes growth of the tumour itself. (LLM, conf=0.85)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“As explants utilise similar techniques and equipment as those used in conventional cell culture work, this makes it easy for researchers to adopt tumor tissue explants in their research [36,37].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
What the sources say
- Not checked — no full text of the sourcecites [36] 36. Hegerfeldt, Y., et al., Collective Cell Movement in Primary Melanoma Explants. Cancer Research, 2002. 62(7): p. 2125-2130.
- Partly supportedcites [37] 37. Provenzano, P.P., et al., Collagen reorganization at the tumor-stromal interface facilitates local invasion. BMC Medicine, 2006. 4(1): p. 38-38. sourceExperimental — accuracy not yet measured
The Methods section, “Tumor explants and collagen gel culture” (page unavailable), describes culturing tumor explants with culture dishes, DMEM, antibiotics, and serum, supporting overlap with conventional cell culture. It does not compare the overall techniques or equipment with conventional culture or say that researchers can easily adopt explant methods. (LLM, conf=0.82)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Major molecular targets such as PTEN, BRAC1 or p53 have demonstrated sequencing identities that are more similar to humans as compared to those from a mouse, thereby indicating that a more accurate model can potentially be established [34].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
What the sources say
- Partly supportedcites [34] 34. Cekanova, M. and K. Rathore, Animal models and therapeutic molecular targets of cancer: utility and limitations. Drug Design, Development and Therapy, 2014. 8: p. 1911-1911. sourceExperimental — accuracy not yet measured
The Companion animals section (page not available) says canine and feline cancer-related genes, including p53, are more similar to human genes than to mouse genes, and it names BRCA1 among homologous human and dog cancer-associated proteins. It supports the potential value of companion animals as cancer models, but the passages do not establish the specific comparison for PTEN or show that sequence similarity alone makes a model more accurate. (LLM, conf=0.84)
boostedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“For instance, a missense mutation in the p53 transcription factor, which can be held accountable for tumor initiation, development, and growth in more than half of solid tumor cancers [32].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
What the sources say
- Partly supportedcites [32] 32. Aylon, Y. and M. Oren, New plays in the p53 theater. Current Opinion in Genetics & Development, 2011. 21(1): p. 86-92. sourceExperimental — accuracy not yet measured
The Introduction (page unavailable) says p53 is mutated in approximately 50% of human cancers and describes its role in tumor prevention. The section on tumor cell invasion (page unavailable) says mutant p53 can promote cancer progression and metastasis. Neither passage establishes that the mutations are specifically missense mutations, that the figure exceeds half, or that it applies specifically to solid tumors. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“As a result, solid tumors are inherently heterogeneous and structurally complex [18].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
What the sources say
- Supportedcites [18] 18. Chen, F., et al., New horizons in tumor microenvironment biology: challenges and opportunities. BMC Medicine, 2015. 13(1): p. 45-45. source
The Introduction describes tumors as three-dimensional structures involving diverse cells and discusses spatial and temporal heterogeneity. The Conclusions and future directions section explicitly calls the tumor microenvironment structurally complex, supporting the paraphrase about solid tumors. (LLM, conf=0.91)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Over the past two decades, many models have been created to mimic this microenvironment and various techniques involving small animal models or two-dimensional (2D) in vitro cancer models have been developed for drug testing and screening [34,35].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
What the sources say
- Partly supportedcites [34] 34. Cekanova, M. and K. Rathore, Animal models and therapeutic molecular targets of cancer: utility and limitations. Drug Design, Development and Therapy, 2014. 8: p. 1911-1911. sourceExperimental — accuracy not yet measured
The Introduction describes three-dimensional and coculture models that mimic tumor–matrix interactions, alongside two-dimensional cancer cell models. The rodent xenograft section describes animal models used to test and develop cancer therapies. The copy does not establish the claimed two-decade timeframe, and it says two-dimensional cultures are isolated from the tumor microenvironment rather than mimicking it. (LLM, conf=0.84)
- Not checked — no full text of the sourcecites [35] 35. Ellem, S.J., E.M. De-Juan-Pardo, and G.P. Risbridger, In vitro modeling of the prostate cancer microenvironment. Advanced Drug Delivery Reviews, 2014. 79: p. 214-221. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Briefly, the p53 protein acts as a tumor suppressor as it induces apoptosis when cellular mutations occur and initiate DNA repairs in healthy cells [32].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
What the sources say
- Partly supportedcites [32] 32. Aylon, Y. and M. Oren, New plays in the p53 theater. Current Opinion in Genetics & Development, 2011. 21(1): p. 86-92. sourceExperimental — accuracy not yet measured
The Introduction says that stress activates p53, which facilitates DNA repair and can instigate apoptosis; it also describes p53’s role in tumor prevention. It does not specifically say that mutations trigger apoptosis or distinguish DNA repair in healthy cells from repair in other cells. (LLM, conf=0.82)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In that approach, the hydrogel not only works as a scaffold for the growth of endothelial cells monolayer but also serves a function of mimicking the ECM for tumor spheroid formation.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Partly supportedcites [84] 84. Bai, J., et al., Identification of drugs as single agents or in combination to prevent carcinoma dissemination in a microfluidic 3D environment. Oncotarget, 2015. 6(34): p. 36603. sourceExperimental — accuracy not yet measured
The Materials and Methods section says endothelial cells formed a monolayer on the collagen gel surface and that tumor aggregates were embedded in a second collagen gel region. But the Results say the aggregates were formed in non-adhesive microwells before being cultured in the device; the paper does not support saying the hydrogel was used for tumor spheroid formation. Page numbers are unavailable in our copy. (LLM, conf=0.88)
- Partly supportedcites [85] 85. Riahi, R., et al., A microfluidic model for organ-specific extravasation of circulating tumor cells. Biomicrofluidics, 2014. 8(2): p. 024103. sourceExperimental — accuracy not yet measured
The Results and Discussion (page unavailable) report that a Matrigel coating helped form a confluent endothelial monolayer. The Materials and Methods describe hydrogel used for chemokine delivery, but the paper does not describe using it to mimic ECM for tumor spheroid formation; it studies circulating tumor-cell extravasation instead. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“For instance, 2D models cannot be used in the testing of drug efficacy as previous studies have shown that the efficacy still varies quite substantially between in vivo as compared to 2D monoculture [52,53].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.1 Two-dimensional models
What the sources say
- Not checked — no full text of the sourcecites [52] 52. Horvath, P., et al., Screening out irrelevant cell-based models of disease. Nature Reviews Drug Discovery, 2016. 15(11): p. 751-769. source
- Partly supportedcites [53] 53. Imamura, Y., et al., Comparison of 2D-and 3D-culture models as drug-testing platforms in breast cancer. Oncology reports, 2015. 33(4): p. 1837-1843. sourceExperimental — accuracy not yet measured
The Introduction and Discussion say 2D cultures do not precisely simulate tumors in vivo and may overestimate anticancer activity. But the paper does not say 2D models cannot be used for drug-efficacy testing, and its Results compare 2D with 3D cultures rather than directly measuring a substantial efficacy difference between 2D cultures and in vivo tumors. (LLM, conf=0.86)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Suspension culture generally has high throughput but lack the ability to control the size and uniformity of the spheroids formed [64,65].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.2 Three-dimensional models
What the sources say
- Not checked — no full text of the sourcecites [64] 64. Barrila, J., et al., Organotypic 3D cell culture models: using the rotating wall vessel to study host-pathogen interactions. Nature Reviews Microbiology, 2010. 8(11): p. 791-801. source
- Partly supportedcites [65] 65. Sant, S. and P.A. Johnston, The production of 3D tumor spheroids for cancer drug discovery. Drug Discovery Today: Technologies, 2017. sourceExperimental — accuracy not yet measured
The ‘Anchorage-independent tumor spheroids’ section says many methods produce aggregates with widely varying sizes and morphologies, supporting the uniformity concern. It does not support the claim that suspension culture generally has high throughput: it says some methods are labor-intensive and have been used only for small pilot screens. The ‘Ultra-low attachment microplates’ section also describes a method that is suitable for high-throughput screening and produces uniform-sized spheroids. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Conventional in vitro culture methods could also generate three-dimensional tumor structure which is more physiologically relevant than 2D models and more cost-efficient than animal models [57].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.2 Three-dimensional models
What the sources say
- Partly supportedcites [57] 57. Asghar, W., et al., Engineering cancer microenvironments for in vitro 3-D tumor models. Materials Today, 2015. 18(10): p. 539-553. sourceExperimental — accuracy not yet measured
The Introduction (page unavailable) says 3-D in vitro models can better recapitulate the natural tumor microenvironment and are relatively inexpensive compared with conventional methods, including animal models. But it describes 3-D models as an alternative to conventional 2-D in vitro culture, not as structures generated by conventional culture methods. (LLM, conf=0.88)
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“It has high reliability and reproducibility but fluid volume is limited and the method is not good for long-term culture due to difficulty in refreshing the culture medium [58,75].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.2 Three-dimensional models
What the sources say
- Partly supportedcites [58] 58. Mehta, G., et al., Opportunities and challenges for use of tumor spheroids as models to test drug delivery and efficacy. Journal of Controlled Release, 2012. 164(2): p. 192-204. sourceExperimental — accuracy not yet measured
In ‘Challenge 1: Forming and maintaining spheroids of uniform size’ (page not provided), the paper says conventional hanging drops allow defined spheroid size but that changing medium is time-consuming, supporting the culture-maintenance concern. It describes 15–20 μl drops in a particular plate, not a general fluid-volume limit, and does not establish high reliability for hanging-drop methods generally. It also reports that an improved hanging-drop plate enables long-term culture, so the limitation needs to be qualified as applying to conventional methods. (LLM, conf=0.86)
- Not checked — no full text of the sourcecites [75] 75. Breslin, S. and L. O'Driscoll, Three-dimensional cell culture: the missing link in drug discovery. Drug Discov Today, 2013. 18(5-6): p. 240-9. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“It was found that fluid shear stress could prompt ovarian cancer cell dissemination, enrich cancer stem cell population as well as enhance tumor's chemoresistance to anti-cancer drugs.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 6. Conclusion
What the sources say
- Supportedcites [156] source
The Discussion says peritoneal ascitic flow contributes to ovarian cancer dissemination and may facilitate CSC enrichment. The Abstract reports increased CSC markers and resistance to cisplatin and paclitaxel in ovarian cancer cells grown under fluid shear stress compared with static conditions. (LLM, conf=0.92)
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Almost all current microfluidic devices incorporating fluid flow can generate a shear stress with physiologically relevant value and can demonstrate the impact of shear stress in cultured tumor cells in vitro [157-160].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 6. Conclusion
What the sources say
- Partly supportedcites [157] sourceExperimental — accuracy not yet measured
The Introduction (page not available) says interstitial flow can exert shear stress and influence cell behavior, and the Discussion describes a microfluidic device that controls interstitial flow. But the paper does not establish that almost all flow-based microfluidic devices generate physiologically relevant shear stress. Its demonstrated application was vascular network formation using endothelial and stromal cells, not the effect of shear stress on cultured tumor cells. (LLM, conf=0.86)
- Partly supportedcites [158] sourceExperimental — accuracy not yet measured
The Introduction describes this paper’s microfluidic device operating at a physiological venular shear stress of approximately 1 dyn cm−2. The Discussion reports its use to study metastatic colon carcinoma cell adhesion under shear flow. This supports the device as an example, but the paper does not establish that almost all current microfluidic devices have these capabilities. (LLM, conf=0.85)
- Partly supportedcites [159] sourceExperimental — accuracy not yet measured
The Results and Discussions sections (pages not provided) describe one microfluidic platform that produces flow-induced shear stress and shows changes in cultured esophageal cancer cells. The paper does not establish that almost all current flow-based microfluidic devices do so, or that their shear-stress values are physiologically relevant. (LLM, conf=0.85)
- Not checked — no full text of the sourcecites [160] source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In addition to increasing drug resistance, a high SS could influence tumor cells' gene expression, comprise immune cells ability to kill cancerous cells or even turn macrophages to tumorfriendly cells, thereby enhancing the metastatic potential of cancer cells [180-184].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 6. Conclusion
What the sources say
- Not checked — no full text of the sourcecites [180] source
- Not checked — no full text of the sourcecites [181] source
- Partly supportedcites [182] sourceExperimental — accuracy not yet measured
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
- Not checked — no full text of the sourcecites [183] source
- Partly supportedcites [184] sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“The pressure gradient was found out to induce cell adhesion activation, cell polarization along flow direction and migration towards regions with higher pressures.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Supportedcites [168] source
The paper describes a microfluidic platform in which a pressure-driven interstitial flow produces adhesion activation and upstream cell polarization (p. 2). The Discussion (p. 5) reports migration upstream, toward maximum adhesion tension; upstream is toward the higher-pressure side of the flow. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Most of them control the oxygen levels in culture chambers and can be categorized into three groups; introducing oxygen scavenging chemicals [210, 211], gas supply channels adjacent to the cell chamber [212] and oxygen impermeable materials [213, 214].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.5 Chemical and oxygen gradient
What the sources say
- Not checked — no full text of the sourcecites [210] source
- Not checked — no full text of the sourcecites [211] source
- Supportedcites [212] source
Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
- Not checked — no full text of the sourcecites [213] source
- Not matchedcites [214]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“Abnormal SS is developed by the unregulated growth of tumorigenic cells and is transmitted by the extracellular matrix[179].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 6. Conclusion
What the sources say
- Supportedcites [179] source
The Discussion (page not supplied) explains that cancer cells proliferate uncontrollably and that their expansion generates solid stress. It also says the resulting force is stored in deformations of other cells and the extracellular matrix, which links to cells. (LLM, conf=0.90)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Hypoxic environment, on the other hand, is known to reduce cytotoxicity of many anticancer drugs, affect angiogenesis, promote metastasis and alter the metabolic activity of cancer cells [183,197].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.5 Chemical and oxygen gradient
What the sources say
- Not checked — no full text of the sourcecites [183] source
- Supportedcites [197] source
The “Radiation and drug resistance” section says hypoxia can make tumor cells resistant to chemotherapy and describes mechanisms that reduce treatment effectiveness. The “Tumor microenvironment” section links hypoxia to new blood-vessel formation, the “Metastasis” section links it to increased spread, and the Conclusion states that hypoxia regulates metabolism. Together, these passages support the cited sentence’s broad paraphrase. (LLM, conf=0.92)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“By using co-culture models, it was found that cancer-associated fibroblasts may promote cancer cell invasion [143].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 5. Future directions
What the sources say
- Supportedcites [143] source
The Results section reports that secretions from a co-culture in which fibroblasts became cancer-associated fibroblasts induced invasion of A549 and SPCA-1 lung cancer cells; invasion was not observed with ordinary fibroblast secretions. This supports the citing sentence’s hedged claim based on a co-culture model. Page numbers were not supplied. (LLM, conf=0.93)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Since different sub-populations of a tumor can respond differently to therapy, this makes it difficult for clinicians to treat cancer effectively.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 1. Introduction
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Moreover, VEGF is expressed in varying quantities within a tumor.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“It is important to note here that the upregulation of VEGF is only one of the pathways through which angiogenesis is induced.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Due to this difference, the cells in a tumor respond differently to these cues and in the process, creates tumor heterogeneity.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Indeed, this has made mouse models highly popular with researchers (65% of 949 oncology papers published in 2016 utilized a mouse tumor model [42]).”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
What the sources say
- Not checked — no full text of the sourcecites [42] 42. Gengenbacher, N., M. Singhal, and H.G. Augustin, Preclinical mouse solid tumour models. Nature Publishing Group, 2017. 17(12): p. 751-765. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is for these reasons that researchers seek to build tumor models using methods which have a higher throughput and less batch-to-batch variation than those mentioned above.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Moreover, since the tumor explant is derived from the original patient sample, the tumor architecture is largely preserved, making this a representative model.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Alternatively, through the expression of oncogenes such as such Ras or Myc inside tumor cells, angiogenesis can also be induced in a tumor.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“This discrepancy may be attributed to a variety of reasons ranging from the tangible, such as the lack of a standardized protocol for animal testing unlike in human trials [42], to the intangible such as how stress experienced in mice has been demonstrated to have a substantial impact on the experimental results [46].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
What the sources say
- Not checked — no full text of the sourcecites [42] 42. Gengenbacher, N., M. Singhal, and H.G. Augustin, Preclinical mouse solid tumour models. Nature Publishing Group, 2017. 17(12): p. 751-765. source
- Not checked — no full text of the sourcecites [46] 46. Chesler, E.J., et al., Identification and ranking of genetic and laboratory environment factors influencing a behavioral trait, thermal nociception, via computational analysis of a large data archive. Neuroscience & Biobehavioral Reviews, 2002. 26(8): p. 907-923. source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“For instance, cancer metastasis which is the leading cause of death in cancer patients occurs through a series of mechanisms (most prominently the epithelial to mesenchymal transition [EMT]).”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.1 Two-dimensional models
What the sources say
- Not checked — no full text of the sourcecites [47] 47. Thiery, J.P., et al., Epithelial-Mesenchymal Transitions in Development and Disease. Cell, 2009. 139(5): p. 871-890. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Through the development of an in vitro model which can accurately represent the in vivo conditions of the tumor microenvironment, this would help not only researchers develop better drugs but could also pave the way for clinicians to personalize cancer therapy for individuals.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 1. Introduction
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As the expression of VEGF promotes neo-vascularization in tumors, this results in a network of blood vessels within a tumor which cannot be replicated or predicted easily, thereby making the tumor microenvironment highly complex.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, for all the benefits that an animal-based model confers, they still have underlying ethical issues and have very strict regulations regarding the use of them which restricts their use to only very specific purposes such as in a drug test.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, as mice can tolerate higher drug concentrations than human patients, questions about their effectiveness in using them for drug tests will remain even if a representative 3D model is to be created.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3. Non-microfluidic tumor models
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, this heterogeneity will manifest both chemically and biologically which will then give rise to genetic and phenotypic variations seen in tumors.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 1. Introduction
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For instance, apart from the malignant cells, the tumor microenvironment also includes several different immune cell types, cells from blood vessels (pericytes and adipocytes) and fibroblasts, each interacting and exhibiting dependencies on each other.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“By doing so, cell growth is enhanced by stiffening and cell-cell junction integrity is compromised, impeding lumen formation.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“However, scaffold base culture also has drawbacks of batch variance, limited throughput, non-uniform spheroid size and distribution [63].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.2 Three-dimensional models
What the sources say
- Not checked — no full text of the sourcecites [63] 63. Breslin, S. and L. O'Driscoll, Three-dimensional cell culture: the missing link in drug discovery. Drug discovery today, 2013. 18(5): p. 240-249. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Many different materials such as chitosan-alginate, collagen, Matrigel and Puramatrix hydrogel, were capable of forming such a scaffold structure [77][78][79][80][81].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.2 Three-dimensional models
What the sources say
- Not matchedcites [77][78][79][80][81]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“An arguable advantage of this approach is that the scaffold could mimic ECM and better recapitulate the in vivo microenvironment.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.2 Three-dimensional models
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It also has the advantage of being cost-effective while maintaining a high throughput.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4. Capturing essences of the tumor microenvironment -Complex microfluidics on-chip models
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
In the paper
“Although fabrication of the device is quite tedious, the artificial blood vessels generated by this method have relatively high mechanical strength and look like real blood vessels [86].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Not checked — no full text of the sourcecites [86] 86. Wang, X.-Y., et al., An artificial blood vessel implanted three-dimensional microsystem for modeling transvascular migration of tumor cells. Lab on a Chip, 2015. 15(4): p. 1178-1187. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“This method can effectively build a circular endothelial cell tube in a microfluidic device, but the co-cultured cancer cells must be fixed in the hydrogel first before construction of the endothelial cellular tube can begin.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Not matchedcites [87][88][89][90][91]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“On the other hand, although animal models have been used to recapitulate the human body environment, it is a time-consuming and expensive approach.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4. Capturing essences of the tumor microenvironment -Complex microfluidics on-chip models
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although it can be very challenging to fully regenerate the in vivo microenvironment in a microfluidic system, researchers have been able to capture some key features in the tumor to recapitulate the process of tumor growth and use it to better predict drug response.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4. Capturing essences of the tumor microenvironment -Complex microfluidics on-chip models
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The more complicated devices are, the closer a representative of in vivo conditions can be achieved albeit with a lower throughput and becoming harder to operate.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The blood vessels developed in this type of devices are cross-linked and perfusable, closely recapitulating the in vivo blood flow conditions [94][95][96][97]107].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Not matchedcites [94][95][96][97]107]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As such, the development of a more comprehensive microfluidic tumor model with better-mimicked vasculature will allow in vitro fast screening of such treatment and greatly contribute to the development of anti-cancer drugs.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Although the size of spheroids generated using this method varies in a large range, this problem can be overcome by using microarrays instead [66].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 3.2 Three-dimensional models
What the sources say
- Not checked — no full text of the sourcecites [66] 66. Fennema, E., et al., Spheroid culture as a tool for creating 3D complex tissues. Trends in biotechnology, 2013. 31(2): p. 108-115. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“This monolayer approach is very effective in applications where cylindrical vessel geometry of blood vessels is not very essential to the study, such as in the testing of drugs which prevent cancer cell migration because this method is high throughput and simple to fabricate [106].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Not checked — no full text of the sourcecites [106] 106. Ferrara, N. and R.S. Kerbel, Angiogenesis as a therapeutic target. Nature, 2005. 438(7070): p. 967-974. 122. Reymond, N., B.B. d'Agua, and A.J. Ridley, Crossing the endothelial barrier during metastasis. Nature Reviews Cancer, 2013. 13(12): p. 858-870. 123. Orimo, A., et al., Stromal fibroblasts present in invasive human breast carcinomas promote tumor growth and angiogenesis through elevated SDF-1/CXCL12 secretion. Cell, 2005. 121(3): p. 335-348. 124. Polanska, U.M. and A. Orimo, Carcinoma-associated fibroblasts: Non-neoplastic tumour-promoting mesenchymal cells. Journal of cellular phys source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Endothelial cells are one of the major components of blood vessels and play an important role in tumor angiogenesis [121].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Not checked — no full text of the sourcecites [121] 121. Boucher, Y., L.T. Baxter, and R.K. Jain, Interstitial pressure gradients in tissue-isolated and subcutaneous tumors: implications for therapy. Cancer research, 1990. 50(15): p. 4478-4484. 186. Chauhan, V.P., et al., Normalization of tumour blood vessels improves the delivery of nanomedicines in a size-dependent manner. Nature nanotechnology, 2012. 7(6): p. 383-388. 187. Jain, R.K., R.T. Tong, and L.L. Munn, Effect of vascular normalization by antiangiogenic therapy on interstitial hypertension, peritumor edema, and lymphatic metastasis: insights from a mathematical model. Cancer research,
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Although this shear stress is very small when compared with the intravascular shear stress, it can still stimulate some oncogenic signaling pathways on cancer cells [150] as well as upregulate TGFβ and activate fibroblast contraction to stiffen the ECM [151].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 6. Conclusion
What the sources say
- Not checked — no full text of the sourcecites [151] source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In current microfluidic models culturing three-dimensional tumors, fluid only flows around tumor spheroids and the quantified shear stress value is the shear stress on the outer surface of the tumor.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 6. Conclusion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Different from normal fibroblasts, cancer-associated fibroblasts proliferate faster, produce more extracellular matrix and secrete unique cytokine, which significantly enhances carcinogenesis [123, 124].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
What the sources say
- Not checked — no full text of the sourcecites [123] 123. Somaweera, H., A. Ibraguimov, and D. Pappas, A review of chemical gradient systems for cell analysis. Anal Chim Acta, 2016. 907: p. 7-17. 194. source
- Not checked — no full text of the sourcecites [124] 124. Brennan, M.D., et al., Oxygen control with microfluidics. Lab Chip, 2014. 14(22): p. 4305-18. 195. Eccles, S.A., Targeting key steps in metastatic tumour progression. Current opinion in genetics & development, 2005. 15(1): p. 77-86. 196. source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“It enhances tumor cell proliferation and builds up a transport barrier to drug delivery, greatly lowering the efficacy of anticancer drugs and therapies.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 6. Conclusion
What the sources say
- Not checked — no full text of the sourcecites [170] source
- Not checked — no full text of the sourcecites [171] source
- Not matchedcites [172]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites [173]
- Not checked — no full text of the sourcecites [174]
- Not checked — no full text of the sourcecites [175]
- Not checked — no full text of the sourcecites [176]
- Not checked — no full text of the sourcecites [177] source
- Not matchedcites [178]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“This dynamic response was regulated by the β-catenin dependent Wnt signaling pathway [202].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.5 Chemical and oxygen gradient
What the sources say
- Not checked — no full text of the sourcecites [202] source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Therefore, mimicking static fluid pressure is key to understanding the role of IFP in drug resistance of tumor and whether it is necessary to be recapitulated in an in vitro drug screening platform (Figure 4d).”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.1 Vasculature
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“A hypoxic environment can be easily incorporated into most existing systems by using a hypoxic incubator or a hypoxic workstation [194].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.5 Chemical and oxygen gradient
What the sources say
- Not checked — no full text of the sourcecites [194] source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Many recent microfluidic devices were utilized to generate chemical or oxygen gradient in cancer research because chemical and oxygen concentrations have also been shown to greatly affect cancer progression and therapeutic efficacy [193,194].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.5 Chemical and oxygen gradient
What the sources say
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As discussed, current microfluidic tumor models have achieved much in showing the significance of incorporating the vascular system, co-culture with physiologically relevant cell types and mimicking elevated interstitial fluid pressures as well as shear stresses.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 5. Future directions
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Therefore, the key to developing a successful microfluidic tumor model is to select and incorporate essential features which can facilitate better drug response prediction depending on the application.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 5. Future directions
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“While large artificial blood vessels generated by planar or circular channels can reproduce a physiologically relevant multilayer structure, which comprises of mainly endothelial cells, vascular smooth muscle, and connective tissue, these vessels are often too big to be implanted in a vascularized tumor.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 5. Future directions
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“On the other hand, although the artificial vascular network has similar dimensions to normal capillaries and allows coculture of multiple cell types, building a vascularized artificial tumor remains a big challenge.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 5. Future directions
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“For example, current approaches with an elevated pressure chamber do not have a blood vessel component and the magnitude of pressure is less than 10% of actual IPF in vivo [166][167][168][169].”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 5. Future directions
What the sources say
- Not matchedcites [166][167][168][169]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Some elements among the in vivo microenvironments such as IFP and shear stress have been mimicked in microfluidic devices, but their full functionality has not been reproduced yet.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 5. Future directions
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, nutrients and drugs are not delivered through the vascular network in these studies, which compromise the prediction of drug response in these models.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 5. Future directions
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is inevitable that the future generation of in vitro tumor models will need to use primary human cells with integrated into vivo conditions in order to generate predictions which are physiologically more relevant.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 6. Conclusion
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
The paper relies on this without support.
The deviation in animal models caused by non-human genetic material is impossible to overcome.
“In addition, the deviation in animal models caused by non-human genetic material seems impossible to be overcome.”
The paper relies on this without support.
Many different non-neoplastic cells exist in the tumor microenvironment and interact with tumor cells.
“Many different non-neoplastic cells exist in the tumor microenvironment and interact with tumor cells.”
The paper relies on this without support.
No more than 4 fluorescent dyes are usually used simultaneously on a single device due to cross-talking between fluorescent signals.
“However, due to the concern of cross-talking between fluorescent signals, no more than 4 fluorescent dyes are usually used simultaneously on a single device.”
The paper relies on this without support.
IFP is usually close to zero in normal tissue.
“It is usually close to zero in normal tissue.”
The paper relies on this without support.
There is usually a hypoxic core of solid tumors due to the abnormal vascular network and high cell density.
“There is usually a hypoxic core of solid tumors due to the abnormal vascular network and high cell density.”
The paper relies on this without support.
Commercially available cell lines are commonly used in co-culture models.
“Commercially available cell lines are commonly used in co-culture models.”
The paper relies on this without support.
Animal tests are much more easily approved than clinical testing on human subjects.
“This is primarily because animal tests are much more easily approved than clinical testing on human subjects.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“By incorporating organoids into a micro fl uidic device, organoids-ona-chip inherit the combined bene fi ts of both micro fl uidics and 3D organoid models, thus providing a unique way to study tumor -stroma interactions and their systemic effects [69,74 -76].”
From 3D In Vitro Model (R)evolution: Unveiling Tumor–Stroma Interactions (2021) · cites this paper as [75]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These tumor-on-chip systems are expected to increase the effective identification of new and better cancer therapies while minimizing non-specific toxicity [13,14,15,16,17].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [16]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Given their tumor‐like properties, tumor spheroids have been used as routine drug screening models to reduce drug development costs and unnecessary animal experiments.[ 49 ]”
From 3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor‐on‐a‐Chip (2023) · cites this paper as [49]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Tumor-on-chip models based on these organ-on-chip systems can recreate human tumor microenvironments and now hold great promise as a new resource for cost-effective and higher-throughput screening of anticancer drugs [13,14,15,16,17] and powerful enablers of precision medicine [18].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [16]
The cited source says what the claim attributes to it.
In the citing paper
“Tumor-on-chip models based on these organ-on-chip systems can recreate human tumor microenvironments and now hold great promise as a new resource for cost-effective and higher-throughput screening of anticancer drugs [13,14,15,16,17] and powerful enablers of precision medicine [18].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [16]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > Abstract
“Cancer is the leading cause of death worldwide.”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 1. Introduction
“Cancer is the second leading cause of death in the world, in both developed countries and less developed countries [1].”
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 2. Tumor microenvironment
“some cells especially those near the periphery of a tumor do not have access to a blood vessel.As a result, these cells enter a state of hypoxia”
§ Functionalizing the Tumor Microenvironment with Microfluidics for Anticancer Drug Development > 4.5 Chemical and oxygen gradient
“There is usually a hypoxic core of solid tumors due to the abnormal vascular network and high cell density.”
Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D. M., Forman, D., & Bray, F. (2015) · International Journal of Cancer · doi:10.1002/ijc.29210 · Cited by 28,766
Mantovani, A., Allavena, P., Sica, A., & Balkwill, F. (2008) · Nature · doi:10.1038/nature07205 · Cited by 11,399
Epithelial-Mesenchymal Transitions in Development and Disease
Thiery, J. P., Acloque, H., Huang, R. Y. J., & Nieto, M. A. (2009) · Cell · doi:10.1016/j.cell.2009.11.007 · Cited by 9,931
Angiogenesis in cancer, vascular, rheumatoid and other disease
Folkman, J. (1995) · Nature Medicine · doi:10.1038/nm0195-27 · Cited by 7,627
Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy
Jain, R. K. (2005) · Science · doi:10.1126/science.1104819 · Cited by 5,527
Molecular mechanisms and clinical applications of angiogenesis
Carmeliet, P., & Jain, R. K. (2011) · Nature · doi:10.1038/nature10144 · Cited by 5,467
Macrophage Diversity Enhances Tumor Progression and Metastasis
Qian, B., & Pollard, J. W. (2010) · Cell · doi:10.1016/j.cell.2010.03.014 · Cited by 5,338
Matrix Metalloproteinases: Regulators of the Tumor Microenvironment
Kessenbrock, K., Plaks, V., & Werb, Z. (2010) · Cell · doi:10.1016/j.cell.2010.03.015 · Cited by 5,151
Cancer drug resistance: an evolving paradigm
Holohan, C., Van Schaeybroeck, S., Longley, D. B., & Johnston, P. G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3599 · Cited by 4,681
Tumor Metastasis: Molecular Insights and Evolving Paradigms
Valastyan, S., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.09.024 · Cited by 4,011
Orimo, A., Gupta, P. B., Sgroi, D. C., Arenzana-Seisdedos, F., Delaunay, T., Naeem, R., Carey, V. J., Richardson, A. L., & Weinberg, R. A. (2005) · Cell · doi:10.1016/j.cell.2005.02.034 · Cited by 3,759
Microenvironmental regulation of metastasis
Joyce, J. A., & Pollard, J. W. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2618 · Cited by 3,684
The Extracellular Matrix: Not Just Pretty Fibrils
Hynes, R. O. (2009) · Science · doi:10.1126/science.1176009 · Cited by 3,527
Cell Adhesion: The Molecular Basis of Tissue Architecture and Morphogenesis
Gumbiner, B. M. (1996) · Cell · doi:10.1016/s0092-8674(00)81279-9 · Cited by 3,471
Targeting hypoxia in cancer therapy
Wilson, W. R., & Hay, M. P. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3064 · Cited by 3,172
Taking Cell-Matrix Adhesions to the Third Dimension
Cukierman, E., Pankov, R., Stevens, D. R., & Yamada, K. M. (2001) · Science · doi:10.1126/science.1064829 · Cited by 3,027
The extracellular matrix: A dynamic niche in cancer progression
Lu, P., Weaver, V. M., & Werb, Z. (2012) · Journal of Cell Biology · doi:10.1083/jcb.201102147 · Cited by 3,024
Influence of tumour micro-environment heterogeneity on therapeutic response
Junttila, M. R., & de Sauvage, F. J. (2013) · Nature · doi:10.1038/nature12626 · Cited by 2,694
Angiogenesis as a therapeutic target
Ferrara, N., & Kerbel, R. S. (2005) · Nature · doi:10.1038/nature04483 · Cited by 2,653
Breast cancer metastasis: markers and models
Weigelt, B., Peterse, J. L., & van't Veer, L. J. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1670 · Cited by 2,232
Engineered Nanoparticles for Drug Delivery in Cancer Therapy
Sun, T., Zhang, Y. S., Pang, B., Hyun, D. C., Yang, M., & Xia, Y. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201403036 · Cited by 2,164
Drug Resistance and the Solid Tumor Microenvironment
Tredan, O., Galmarini, C. M., Patel, K., & Tannock, I. F. (2007) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djm135 · Cited by 2,116
The role of hypoxia in cancer progression, angiogenesis, metastasis, and resistance to therapy
Muz, B., de la Puente, P., Azab, F., & Azab, A. K. (2015) · Hypoxia · doi:10.2147/hp.s93413 · Cited by 2,066
The tumor microenvironment at a glance
Balkwill, F. R., Capasso, M., & Hagemann, T. (2012) · Journal of Cell Science · doi:10.1242/jcs.116392 · Cited by 1,857
Collagen reorganization at the tumor-stromal interface facilitates local invasion
Provenzano, P. P., Eliceiri, K. W., Campbell, J. M., Inman, D. R., White, J. G., & Keely, P. J. (2006) · BMC Medicine · doi:10.1186/1741-7015-4-38 · Cited by 1,804
Tumour micro-environment elicits innate resistance to RAF inhibitors through HGF secretion
Straussman, R., Morikawa, T., Shee, K., Barzily-Rokni, M., Qian, Z. R., Du, J., Davis, A., Mongare, M. M., Gould, J., Frederick, D. T., et al. (2012) · Nature · doi:10.1038/nature11183 · Cited by 1,771
Spheroid-based drug screen: Considerations and practical approach
Friedrich, J., Seidel, C., Ebner, R., & Kunz-Schughart, L. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.226 · Cited by 1,742
Muller, P. A. J., & Vousden, K. H. (2013) · Nature Cell Biology · doi:10.1038/ncb2641 · Cited by 1,647
Normalization of the Vasculature for Treatment of Cancer and Other Diseases
Goel, S., Duda, D. G., Xu, L., Munn, L. L., Boucher, Y., Fukumura, D., & Jain, R. K. (2011) · Physiological Reviews · doi:10.1152/physrev.00038.2010 · Cited by 1,605
Tumour hypoxia promotes tolerance and angiogenesis via CCL28 and Treg cells
Facciabene, A., Peng, X., Hagemann, I. S., Balint, K., Barchetti, A., Wang, L.-P., Gimotty, P. A., Gilks, C. B., Lal, P., Zhang, L., et al. (2011) · Nature · doi:10.1038/nature10169 · Cited by 1,376
Three-dimensional culture models of normal and malignant breast epithelial cells
Lee, G. Y., Kenny, P. A., Lee, E. H., & Bissell, M. J. (2007) · Nature Methods · doi:10.1038/nmeth1015 · Cited by 1,336
Three-dimensional cell culture: the missing link in drug discovery
Breslin, S., & O’Driscoll, L. (2013) · Drug Discovery Today · doi:10.1016/j.drudis.2012.10.003 · Cited by 1,332
Opportunities and challenges for use of tumor spheroids as models to test drug delivery and efficacy
Mehta, G., Hsiao, A. Y., Ingram, M., Luker, G. D., & Takayama, S. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.04.045 · Cited by 1,172
Chauhan, V. P., Stylianopoulos, T., Martin, J. D., Popović, Z., Chen, O., Kamoun, W. S., Bawendi, M. G., Fukumura, D., & Jain, R. K. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.45 · Cited by 1,101
Macrophage Regulation of Tumor Responses to Anticancer Therapies
De Palma, M., & Lewis, C. E. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.02.013 · Cited by 1,079
Spheroid culture as a tool for creating 3D complex tissues
Fennema, E., Rivron, N., Rouwkema, J., van Blitterswijk, C., & de Boer, J. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2012.12.003 · Cited by 1,054
Role of tissue stroma in cancer cell invasion
De Wever, O., & Mareel, M. (2003) · The Journal of Pathology · doi:10.1002/path.1398 · Cited by 1,042
Lost in translation: animal models and clinical trials in cancer treatment.
(2014) · Europe PMC (PubMed Central) · Cited by 1,033
A Human Disease Model of Drug Toxicity–Induced Pulmonary Edema in a Lung-on-a-Chip Microdevice
Huh, D., Leslie, D. C., Matthews, B. D., Fraser, J. P., Jurek, S., Hamilton, G. A., Thorneloe, K. S., McAlexander, M. A., & Ingber, D. E. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004249 · Cited by 993
Causes, consequences, and remedies for growth-induced solid stress in murine and human tumors
Stylianopoulos, T., Martin, J. D., Chauhan, V. P., Jain, S. R., Diop-Frimpong, B., Bardeesy, N., Smith, B. L., Ferrone, C. R., Hornicek, F. J., Boucher, Y., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1213353109 · Cited by 943
Murdoch, C., Giannoudis, A., & Lewis, C. E. (2004) · Blood · doi:10.1182/blood-2004-03-1109 · Cited by 943
Intratumor Heterogeneity: Evolution through Space and Time
Swanton, C. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-2217 · Cited by 931
Crossing the endothelial barrier during metastasis
Reymond, N., d'Água, B. B., & Ridley, A. J. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3628 · Cited by 922
Three-dimensional culture systems in cancer research: Focus on tumor spheroid model
Nath, S., & Devi, G. R. (2016) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2016.03.013 · Cited by 919
Recent Progress in Cancer Thermal Therapy Using Gold Nanoparticles
Abadeer, N. S., & Murphy, C. J. (2016) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.5b11232 · Cited by 919
Cancer Epigenetics: Tumor Heterogeneity, Plasticity of Stem-like States, and Drug Resistance
Easwaran, H., Tsai, H.-C., & Baylin, S. B. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.05.015 · Cited by 915
Engineering of functional, perfusable 3D microvascular networks on a chip
Kim, S., Lee, H., Chung, M., & Jeon, N. L. (2013) · Lab on a Chip · doi:10.1039/c3lc41320a · Cited by 872
Solid stress inhibits the growth of multicellular tumor spheroids
Helmlinger, G., Netti, P. A., Lichtenbeld, H. C., Melder, R. J., & Jain, R. K. (1997) · Nature Biotechnology · doi:10.1038/nbt0897-778 · Cited by 859
Cancer cells compress intratumour vessels
Padera, T. P., Stoll, B. R., Tooredman, J. B., Capen, D., Tomaso, E. D., & Jain, R. K. (2004) · Nature · doi:10.1038/427695a · Cited by 857
Comparison of 2D- and 3D-culture models as drug-testing platforms in breast cancer
IMAMURA, Y., MUKOHARA, T., SHIMONO, Y., FUNAKOSHI, Y., CHAYAHARA, N., TOYODA, M., KIYOTA, N., TAKAO, S., KONO, S., NAKATSURA, T., et al. (2015) · Oncology Reports · doi:10.3892/or.2015.3767 · Cited by 845
(1990) · PubMed · Cited by 757
Human 3D vascularized organotypic microfluidic assays to study breast cancer cell extravasation
Jeon, J. S., Bersini, S., Gilardi, M., Dubini, G., Charest, J. L., Moretti, M., & Kamm, R. D. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1417115112 · Cited by 723
Plaks, V., Koopman, C. D., & Werb, Z. (2013) · Science · doi:10.1126/science.1235226 · Cited by 722
New horizons in tumor microenvironment biology: challenges and opportunities
Chen, F., Zhuang, X., Lin, L., Yu, P., Wang, Y., Shi, Y., Hu, G., & Sun, Y. (2015) · BMC Medicine · doi:10.1186/s12916-015-0278-7 · Cited by 704
Integrins and cancer: regulators of cancer stemness, metastasis, and drug resistance
Seguin, L., Desgrosellier, J. S., Weis, S. M., & Cheresh, D. A. (2015) · Trends in Cell Biology · doi:10.1016/j.tcb.2014.12.006 · Cited by 685
Stromal cells in tumor microenvironment and breast cancer
Mao, Y., Keller, E. T., Garfield, D. H., Shen, K., & Wang, J. (2013) · Cancer and Metastasis Reviews · doi:10.1007/s10555-012-9415-3 · Cited by 671
Translation of new cancer treatments from pet dogs to humans
Paoloni, M., & Khanna, C. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2273 · Cited by 668
Mechanical compression drives cancer cells toward invasive phenotype
Tse, J. M., Cheng, G., Tyrrell, J. A., Wilcox-Adelman, S. A., Boucher, Y., Jain, R. K., & Munn, L. L. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1118910109 · Cited by 631
Rapid Generation of Single-Tumor Spheroids for High-Throughput Cell Function and Toxicity Analysis
Ivascu, A., & Kubbies, M. (2006) · SLAS DISCOVERY · doi:10.1177/1087057106292763 · Cited by 618
Microfluidic assay for simultaneous culture of multiple cell types on surfaces or within hydrogels
Shin, Y., Han, S., Jeon, J. S., Yamamoto, K., Zervantonakis, I. K., Sudo, R., Kamm, R. D., & Chung, S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.051 · Cited by 617
Jain, R. K., Tong, R. T., & Munn, L. L. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-4102 · Cited by 612
Why are tumour blood vessels abnormal and why is it important to know?
Nagy, J. A., Chang, S.-H., Dvorak, A. M., & Dvorak, H. F. (2009) · British Journal of Cancer · doi:10.1038/sj.bjc.6604929 · Cited by 611
Delivery of Molecular and Nanoscale Medicine to Tumors: Transport Barriers and Strategies
Chauhan, V. P., Stylianopoulos, T., Boucher, Y., & Jain, R. K. (2011) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-061010-114300 · Cited by 597
Collagen as a double-edged sword in tumor progression
Fang, M., Yuan, J., Peng, C., & Li, Y. (2014) · Tumor Biology · doi:10.1007/s13277-013-1511-7 · Cited by 580
Engineered In Vitro Disease Models
Benam, K. H., Dauth, S., Hassell, B., Herland, A., Jain, A., Jang, K.-J., Karalis, K., Kim, H. J., MacQueen, L., Mahmoodian, R., et al. (2015) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-012414-040418 · Cited by 554
Lymphatic and interstitial flow in the tumour microenvironment: linking mechanobiology with immunity
Swartz, M. A., & Lund, A. W. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3186 · Cited by 544
Improving drug delivery to solid tumors: Priming the tumor microenvironment
Khawar, I. A., Kim, J. H., & Kuh, H.-J. (2015) · Journal of Controlled Release · doi:10.1016/j.jconrel.2014.12.018 · Cited by 533
A targeted chain-termination mutation in the mouse Apc gene results in multiple intestinal tumors.
Fodde, R., Edelmann, W., Yang, K., van Leeuwen, C., Carlson, C., Renault, B., Breukel, C., Alt, E., Lipkin, M., & Khan, P. M. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.19.8969 · Cited by 531
Screening out irrelevant cell-based models of disease
Horvath, P., Aulner, N., Bickle, M., Davies, A. M., Nery, E. D., Ebner, D., Montoya, M. C., Östling, P., Pietiäinen, V., Price, L. S., et al. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.175 · Cited by 525
The Identification and Characterization of Breast Cancer CTCs Competent for Brain Metastasis
Zhang, L., Ridgway, L. D., Wetzel, M. D., Ngo, J., Yin, W., Kumar, D., Goodman, J. C., Groves, M. D., & Marchetti, D. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005109 · Cited by 521
Genetically engineered mouse models in oncology research and cancer medicine
Kersten, K., de Visser, K. E., van Miltenburg, M. H., & Jonkers, J. (2017) · EMBO Molecular Medicine · doi:10.15252/emmm.201606857 · Cited by 502
Fluid forces control endothelial sprouting
Song, J. W., & Munn, L. L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105316108 · Cited by 498
The parallel lives of angiogenesis and immunosuppression: cancer and other tales
Motz, G. T., & Coukos, G. (2011) · Nature Reviews Immunology · doi:10.1038/nri3064 · Cited by 481
Matrigel: From discovery and ECM mimicry to assays and models for cancer research
Benton, G., Arnaoutova, I., George, J., Kleinman, H. K., & Koblinski, J. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.06.005 · Cited by 477
(2000) · PubMed · Cited by 475
Chemotherapy-induced antitumor immunity requires formyl peptide receptor 1
Vacchelli, E., Ma, Y., Baracco, E. E., Sistigu, A., Enot, D. P., Pietrocola, F., Yang, H., Adjemian, S., Chaba, K., Semeraro, M., et al. (2015) · Science · doi:10.1126/science.aad0779 · Cited by 452
Ma, C., Fan, R., Ahmad, H., Shi, Q., Comin-Anduix, B., Chodon, T., Koya, R. C., Liu, C.-C., Kwong, G. A., Radu, C. G., et al. (2011) · Nature Medicine · doi:10.1038/nm.2375 · Cited by 441
CD20+ B Cells: The Other Tumor-Infiltrating Lymphocytes
Nelson, B. H. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.1001323 · Cited by 416
The production of 3D tumor spheroids for cancer drug discovery
Sant, S., & Johnston, P. A. (2017) · Drug Discovery Today: Technologies · doi:10.1016/j.ddtec.2017.03.002 · Cited by 404
MARXSEN, J. H., STENGEL, P., DOEGE, K., HEIKKINEN, P., JOKILEHTO, T., WAGNER, T., JELKMANN, W., JAAKKOLA, P., & METZEN, E. (2004) · Biochemical Journal · doi:10.1042/bj20040620 · Cited by 386
Engineering microscale cellular niches for three-dimensional multicellular co-cultures
Huang, C. P., Lu, J., Seon, H., Lee, A. P., Flanagan, L. A., Kim, H.-Y., Putnam, A. J., & Jeon, N. L. (2009) · Lab on a Chip · doi:10.1039/b818401a · Cited by 384
(1999) · PubMed · Cited by 348
The Evolution of Extracellular Matrix
Özbek, S., Balasubramanian, P. G., Chiquet-Ehrismann, R., Tucker, R. P., & Adams, J. C. (2010) · Molecular Biology of the Cell · doi:10.1091/mbc.e10-03-0251 · Cited by 347
Lalonde, E., Ishkanian, A. S., Sykes, J., Fraser, M., Ross-Adams, H., Erho, N., Dunning, M. J., Halim, S., Lamb, A. D., Moon, N. C., et al. (2014) · The Lancet Oncology · doi:10.1016/s1470-2045(14)71021-6 · Cited by 342
Chesler, E. J., Wilson, S. G., Lariviere, W. R., Rodriguez-Zas, S. L., & Mogil, J. S. (2002) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(02)00103-3 · Cited by 331
Park, J.-S., Kim, I.-K., Han, S., Park, I., Kim, C., Bae, J., Oh, S. J., Lee, S., Kim, J. H., Woo, D.-C., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.10.018 · Cited by 327
(2002) · PubMed · Cited by 321
Microfluidic Endothelium for Studying the Intravascular Adhesion of Metastatic Breast Cancer Cells
Song, J. W., Cavnar, S. P., Walker, A. C., Luker, K. E., Gupta, M., Tung, Y.-C., Luker, G. D., & Takayama, S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005756 · Cited by 317
Engineering cancer microenvironments for in vitro 3-D tumor models
Asghar, W., El Assal, R., Shafiee, H., Pitteri, S., Paulmurugan, R., & Demirci, U. (2015) · Materials Today · doi:10.1016/j.mattod.2015.05.002 · Cited by 316
Barrila, J., Radtke, A. L., Crabbé, A., Sarker, S. F., Herbst-Kralovetz, M. M., Ott, C. M., & Nickerson, C. A. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2423 · Cited by 302
Xu, Z., Gao, Y., Hao, Y., Li, E., Wang, Y., Zhang, J., Wang, W., Gao, Z., & Wang, Q. (2013) · Biomaterials · doi:10.1016/j.biomaterials.2013.02.045 · Cited by 295
Microfluidics for cell-based high throughput screening platforms—A review
Du, G., Fang, Q., & den Toonder, J. M. J. (2016) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.11.023 · Cited by 276
Animal models and therapeutic molecular targets of cancer: utility and limitations
Cekanova, M., & Rathore, K. (2014) · Drug Design, Development and Therapy · doi:10.2147/dddt.s49584 · Cited by 274
Coral Larvae Move toward Reef Sounds
Vermeij, M. J. A., Marhaver, K. L., Huijbers, C. M., Nagelkerken, I., & Simpson, S. D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010660 · Cited by 270
Mechanotransduction of fluid stresses governs 3D cell migration
Polacheck, W. J., German, A. E., Mammoto, A., Ingber, D. E., & Kamm, R. D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316848111 · Cited by 265
(1992) · PubMed · Cited by 252
(1992) · PubMed · Cited by 247
Generation of Multicellular Tumor Spheroids by the Hanging-Drop Method
Timmins, N. E., & Nielsen, L. K. (2007) · Methods in Molecular Medicine™ · doi:10.1007/978-1-59745-443-8_8 · Cited by 241
Scaffold-Free Three-Dimensional Cell Culture Utilizing Micromolded Nonadhesive Hydrogels
Napolitano, A. P., Dean, D. M., Man, A. J., Youssef, J., Ho, D. N., Rago, A. P., Lech, M. P., & Morgan, J. R. (2007) · BioTechniques · doi:10.2144/000112591 · Cited by 231
Ingram, M., Techy, G. B., Saroufeem, R. M. G., Yazan, O., Narayan, K. S., Goodwin, T. J., & Spaulding, G. F. (1997) · In Vitro Cellular & Developmental Biology - Animal · doi:10.1007/s11626-997-0064-8 · Cited by 229
Huijbers, I. J., Iravani, M., Popov, S., Robertson, D., Al-Sarraj, S., Jones, C., & Isacke, C. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009808 · Cited by 223
A microengineered pathophysiological model of early-stage breast cancer
Choi, Y., Hyun, E., Seo, J., Blundell, C., Kim, H. C., Lee, E., Lee, S. H., Moon, A., Moon, W. K., & Huh, D. (2015) · Lab on a Chip · doi:10.1039/c5lc00514k · Cited by 222
Computational and Experimental Models of Cancer Cell Response to Fluid Shear Stress
Mitchell, M. J., & King, M. R. (2013) · Frontiers in Oncology · doi:10.3389/fonc.2013.00044 · Cited by 221
(1991) · PubMed · Cited by 220
Immortality of cell lines: challenges and advantages of establishment
Irfan Maqsood, M., Matin, M. M., Bahrami, A. R., & Ghasroldasht, M. M. (2013) · Cell Biology International · doi:10.1002/cbin.10137 · Cited by 217
Tissue engineering of blood vessel
Zhang, W. J., Liu, W., Cui, L., & Cao, Y. (2007) · Journal of Cellular and Molecular Medicine · doi:10.1111/j.1582-4934.2007.00099.x · Cited by 217
Douville, N. J., Zamankhan, P., Tung, Y.-C., Li, R., Vaughan, B. L., Tai, C.-F., White, J., Christensen, P. J., Grotberg, J. B., & Takayama, S. (2011) · Lab Chip · doi:10.1039/c0lc00251h · Cited by 216
Patra, B., Peng, C.-C., Liao, W.-H., Lee, C.-H., & Tung, Y.-C. (2016) · Scientific Reports · doi:10.1038/srep21061 · Cited by 215
Chitosan–alginate 3D scaffolds as a mimic of the glioma tumor microenvironment
Kievit, F. M., Florczyk, S. J., Leung, M. C., Veiseh, O., Park, J. O., Disis, M. L., & Zhang, M. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2010.03.062 · Cited by 209
Carcinoma‐associated fibroblasts: Non‐neoplastic tumour‐promoting mesenchymal cells
Polanska, U. M., & Orimo, A. (2013) · Journal of Cellular Physiology · doi:10.1002/jcp.24347 · Cited by 208
Expansion of CTCs from early stage lung cancer patients using a microfluidic co-culture model
Zhang, Z., Shiratsuchi, H., Lin, J., Chen, G., Reddy, R. M., Azizi, E., Fouladdel, S., Chang, A. C., Lin, L., Jiang, H., et al. (2014) · Oncotarget · doi:10.18632/oncotarget.2592 · Cited by 207
Buchanan, C. F., Verbridge, S. S., Vlachos, P. P., & Rylander, M. N. (2014) · Cell Adhesion & Migration · doi:10.4161/19336918.2014.970001 · Cited by 205
The advantages of co-culture over mono cell culture in simulating in vivo environment
Miki, Y., Ono, K., Hata, S., SUZUKI, T. A., Kumamoto, H., & Sasano, H. (2012) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2011.12.004 · Cited by 201
Recognition and Alleviation of Pain in Laboratory Animals
Criado, A. (2010) · Laboratory Animals · doi:10.1258/la.2010.201003 · Cited by 199
Hypoxia induces HIF‐1α and VEGF expression in chondrosarcoma cells and chondrocytes
Lin, C., McGough, R., Aswad, B., Block, J. A., & Terek, R. (2004) · Journal of Orthopaedic Research · doi:10.1016/j.orthres.2004.03.002 · Cited by 199
Interstitial fluid pressure in breast cancer, benign breast conditions, and breast parenchyma
Nathanson, S. D., & Nelson, L. (1994) · Annals of Surgical Oncology · doi:10.1007/bf03187139 · Cited by 197
Kamei, K.-I., Mashimo, Y., Koyama, Y., Fockenberg, C., Nakashima, M., Nakajima, M., Li, J., & Chen, Y. (2015) · Biomedical Microdevices · doi:10.1007/s10544-015-9928-y · Cited by 196
Hsu, Y., Moya, M. L., Hughes, C. C. W., George, S. C., & Lee, A. P. (2013) · Lab on a Chip · doi:10.1039/c3lc50424g · Cited by 192
Microfluidic titer plate for stratified 3D cell culture
Trietsch, S. J., Israëls, G. D., Joore, J., Hankemeier, T., & Vulto, P. (2013) · Lab on a Chip · doi:10.1039/c3lc50210d · Cited by 189
Oxygen control with microfluidics
Brennan, M. D., Rexius-Hall, M. L., Elgass, L. J., & Eddington, D. T. (2014) · Lab Chip · doi:10.1039/c4lc00853g · Cited by 188
Whittaker, C. A., Bergeron, K.-F., Whittle, J., Brandhorst, B. P., Burke, R. D., & Hynes, R. O. (2006) · Developmental Biology · doi:10.1016/j.ydbio.2006.07.044 · Cited by 183
Micro-dissected tumor tissues on chip: an ex vivo method for drug testing and personalized therapy
Astolfi, M., Péant, B., Lateef, M. A., Rousset, N., Kendall-Dupont, J., Carmona, E., Monet, F., Saad, F., Provencher, D., Mes-Masson, A.-M., et al. (2016) · Lab on a Chip · doi:10.1039/c5lc01108f · Cited by 182
Ware, M. J., Colbert, K. L., Keshishian, V., Ho, J., Corr, S. J., Curley, S. A., & Godin, B. (2016) · Tissue Engineering Part C Methods · doi:10.1089/ten.tec.2015.0280 · Cited by 182
Migration dynamics of breast cancer cells in a tunable 3D interstitial flow chamber
Haessler, U., Teo, J. C. M., Foretay, D., Renaud, P., & Swartz, M. A. (2012) · Integrative Biology · doi:10.1039/c1ib00128k · Cited by 176
Khoo, B. L., Grenci, G., Lim, Y. B., Lee, S. C., Han, J., & Lim, C. T. (2018) · Nature Protocols · doi:10.1038/nprot.2017.125 · Cited by 172
Self-citationThe extracellular matrix: A dynamic niche in cancer progression
Lu, P., Weaver, V. M., & Werb, Z. (2012) · The Journal of Experimental Medicine · doi:10.1084/jem2093oia1 · Cited by 170
Metzger, W., Sossong, D., Bächle, A., Pütz, N., Wennemuth, G., Pohlemann, T., & Oberringer, M. (2011) · Cytotherapy · doi:10.3109/14653249.2011.583233 · Cited by 167
(1993) · PubMed · Cited by 166
Cross talk between cancer and immune cells: exploring complex dynamics in a microfluidic environment
Businaro, L., De Ninno, A., Schiavoni, G., Lucarini, V., Ciasca, G., Gerardino, A., Belardelli, F., Gabriele, L., & Mattei, F. (2013) · Lab Chip · doi:10.1039/c2lc40887b · Cited by 162
Engineering of a Biomimetic Pericyte-Covered 3D Microvascular Network
Kim, J., Chung, M., Kim, S., Jo, D. H., Kim, J. H., & Jeon, N. L. (2015) · PLOS ONE · doi:10.1371/journal.pone.0133880 · Cited by 160
Chang, C.-W., Cheng, Y.-J., Tu, M., Chen, Y.-H., Peng, C.-C., Liao, W.-H., & Tung, Y.-C. (2014) · Lab Chip · doi:10.1039/c4lc00732h · Cited by 154
Hydrogels to model 3D in vitro microenvironment of tumor vascularization
Song, H.-H. G., Park, K. M., & Gerecht, S. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.06.002 · Cited by 153
Khoo, B. L., Grenci, G., Jing, T., Lim, Y. B., Lee, S. C., Thiery, J. P., Han, J., & Lim, C. T. (2016) · Science Advances · doi:10.1126/sciadv.1600274 · Cited by 147
Self-citationReview: in vitro microvessel models
Bogorad, M. I., DeStefano, J., Karlsson, J., Wong, A. D., Gerecht, S., & Searson, P. C. (2015) · Lab on a Chip · doi:10.1039/c5lc00832h · Cited by 145
A quantitative microfluidic angiogenesis screen for studying anti-angiogenic therapeutic drugs
Kim, C., Kasuya, J., Jeon, J., Chung, S., & Kamm, R. D. (2015) · Lab on a Chip · doi:10.1039/c4lc00866a · Cited by 143
A multilayered microfluidic blood vessel-like structure
Hasan, A., Paul, A., Memic, A., & Khademhosseini, A. (2015) · Biomedical Microdevices · doi:10.1007/s10544-015-9993-2 · Cited by 139
Rodenhizer, D., Gaude, E., Cojocari, D., Mahadevan, R., Frezza, C., Wouters, B. G., & McGuigan, A. P. (2016) · Nature Materials · doi:10.1038/nmat4482 · Cited by 132
Live-Cell Imaging of Invasion and Intravasation in an Artificial Microvessel Platform
Wong, A. D., & Searson, P. C. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-1042 · Cited by 132
Isotropic stress reduces cell proliferation in tumor spheroids
Montel, F., Delarue, M., Elgeti, J., Vignjevic, D., Cappello, G., & Prost, J. (2012) · New Journal of Physics · doi:10.1088/1367-2630/14/5/055008 · Cited by 130
Microengineered cancer-on-a-chip platforms to study the metastatic microenvironment
Lara, R. P., & Annabi, N. (2016) · Lab on a Chip · doi:10.1039/c6lc00718j · Cited by 130
Hsiao, A. Y., Tung, Y.-C., Kuo, C.-H., Mosadegh, B., Bedenis, R., Pienta, K. J., & Takayama, S. (2012) · Biomedical Microdevices · doi:10.1007/s10544-011-9608-5 · Cited by 129
Stemness and chemoresistance in epithelial ovarian carcinoma cells under shear stress
Ip, C. K. M., Li, S.-S., Tang, M. Y. H., Sy, S. K. H., Ren, Y., Shum, H. C., & Wong, A. S. T. (2016) · Scientific Reports · doi:10.1038/srep26788 · Cited by 128
3D spherical microtissues and microfluidic technology for multi-tissue experiments and analysis
Kim, J.-Y., Fluri, D. A., Marchan, R., Boonen, K., Mohanty, S., Singh, P., Hammad, S., Landuyt, B., Hengstler, J. G., Kelm, J. M., et al. (2015) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2015.01.003 · Cited by 126
Genetically Engineered Mouse Models: Closing the Gap between Preclinical Data and Trial Outcomes
Singh, M., Murriel, C. L., & Johnson, L. (2012) · Cancer Research · doi:10.1158/0008-5472.can-11-2786 · Cited by 125
Sato, M., Sasaki, N., Ato, M., Hirakawa, S., Sato, K., & Sato, K. (2015) · PLOS ONE · doi:10.1371/journal.pone.0137301 · Cited by 124
Metastasis in context: modeling the tumor microenvironment with cancer-on-a-chip approaches
Sleeboom, J. J. F., Eslami Amirabadi, H., Nair, P., Sahlgren, C. M., & den Toonder, J. M. J. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.033100 · Cited by 122
Belair, D. G., Whisler, J. A., Valdez, J., Velazquez, J., Molenda, J. A., Vickerman, V., Lewis, R., Daigh, C., Hansen, T. D., Mann, D. A., et al. (2015) · Stem Cell Reviews and Reports · doi:10.1007/s12015-014-9549-5 · Cited by 120
Reengineering the Tumor Vasculature: Improving Drug Delivery and Efficacy
Stylianopoulos, T., Munn, L. L., & Jain, R. K. (2018) · Trends in Cancer · doi:10.1016/j.trecan.2018.02.010 · Cited by 119
Mechanical force modulates global gene expression and β-catenin signaling in colon cancer cells
Avvisato, C. L., Yang, X., Shah, S., Hoxter, B., Li, W., Gaynor, R., Pestell, R., Tozeren, A., & Byers, S. W. (2007) · Journal of Cell Science · doi:10.1242/jcs.03476 · Cited by 118
Metalloproteinases and their inhibitors in angiogenesis
Lafleur, M. A., Handsley, M. M., & Edwards, D. R. (2003) · Expert Reviews in Molecular Medicine · doi:10.1017/s1462399403006628 · Cited by 117
Micropatterns of Matrigel for three-dimensional epithelial cultures
Sodunke, T. R., Turner, K. K., Caldwell, S. A., McBride, K. W., Reginato, M. J., & Noh, H. “. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2007.05.021 · Cited by 109
Aylon, Y., & Oren, M. (2011) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2010.10.002 · Cited by 106
Hofmann, M., Guschel, M., Bernd, A., Bereiter-Hahn, J., Kaufmann, R., Tandi, C., Wiig, H., & Kippenberger, S. (2006) · Neoplasia · doi:10.1593/neo.05469 · Cited by 106
Methods to study the tumor microenvironment under controlled oxygen conditions
Byrne, M. B., Leslie, M. T., Gaskins, H. R., & Kenis, P. J. A. (2014) · Trends in Biotechnology · doi:10.1016/j.tibtech.2014.09.006 · Cited by 104
Circulatory shear flow alters the viability and proliferation of circulating colon cancer cells
Fan, R., Emery, T., Zhang, Y., Xia, Y., Sun, J., & Wan, J. (2016) · Scientific Reports · doi:10.1038/srep27073 · Cited by 103
Tang, Y., Soroush, F., Sheffield, J. B., Wang, B., Prabhakarpandian, B., & Kiani, M. F. (2017) · Scientific Reports · doi:10.1038/s41598-017-09815-9 · Cited by 102
Piotrowski-Daspit, A. S., Tien, J., & Nelson, C. M. (2016) · Integrative Biology · doi:10.1039/c5ib00282f · Cited by 101
Simultaneous or Sequential Orthogonal Gradient Formation in a 3D Cell Culture Microfluidic Platform
Uzel, S. G. M., Amadi, O. C., Pearl, T. M., Lee, R. T., So, P. T. C., & Kamm, R. D. (2016) · Small · doi:10.1002/smll.201501905 · Cited by 100
A review of chemical gradient systems for cell analysis
Somaweera, H., Ibraguimov, A., & Pappas, D. (2016) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.12.008 · Cited by 98
Peela, N., Truong, D. D., Saini, H., Chu, H., Mashaghi, S., Ham, S. L., Singh, S. K., Tavana, H., Mosadegh, B., & Nikkhah, M. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.04.017 · Cited by 97
Demou, Z. N. (2010) · Annals of Biomedical Engineering · doi:10.1007/s10439-010-0097-0 · Cited by 96
Kurokawa, Y. K., Yin, R. T., Shang, M. R., Shirure, V. S., Moya, M. L., & George, S. C. (2017) · Tissue Engineering Part C Methods · doi:10.1089/ten.tec.2017.0133 · Cited by 94
Self-citationOrgans on chip approach: a tool to evaluate cancer -immune cells interactions
Biselli, E., Agliari, E., Barra, A., Bertani, F. R., Gerardino, A., De Ninno, A., Mencattini, A., Di Giuseppe, D., Mattei, F., Schiavoni, G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13070-3 · Cited by 91
Nathan, S. S., DiResta, G. R., Casas-Ganem, J. E., Hoang, B. H., Sowers, R., Yang, R., Huvos, A. G., Gorlick, R., & Healey, J. H. (2005) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-04-2048 · Cited by 85
Sex Chromosome Evolution in Amniotes: Applications for Bacterial Artificial Chromosome Libraries
Janes, D. E., Valenzuela, N., Ezaz, T., Amemiya, C. T., & Edwards, S. V. (2010) · BioMed Research International · doi:10.1155/2011/132975 · Cited by 85
Safety in analytical laboratories: basic safety in volumetric analysis
(1977) · Proceedings of the Analytical Division of the Chemical Society · doi:10.1039/ad9771400225 · Cited by 79
Wang, X.-Y., Pei, Y., Xie, M., Jin, Z.-H., Xiao, Y.-S., Wang, Y., Zhang, L.-N., Li, Y., & Huang, W.-H. (2015) · Lab on a Chip · doi:10.1039/c4lc00973h · Cited by 77
Huang, Y. L., Tung, C.-K., Zheng, A., Kim, B. J., & Wu, M. (2015) · Integrative Biology · doi:10.1039/c5ib00115c · Cited by 75
Lucarini, V., Buccione, C., Ziccheddu, G., Peschiaroli, F., Sestili, P., Puglisi, R., Mattia, G., Zanetti, C., Parolini, I., Bracci, L., et al. (2016) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2016.08.024 · Cited by 73
Targeting key steps in metastatic tumour progression
Eccles, S. A. (2005) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2004.12.001 · Cited by 73
DI, C., & ZHAO, Y. (2015) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2014.2141 · Cited by 72
Yu, T., Guo, Z., Fan, H., Song, J., Liu, Y., Gao, Z., & Wang, Q. (2016) · Oncotarget · doi:10.18632/oncotarget.8232 · Cited by 70
Bai, J., Tu, T.-Y., Kim, C., Thiery, J. P., & Kamm, R. D. (2015) · Oncotarget · doi:10.18632/oncotarget.5464 · Cited by 70
In vitro modeling of the prostate cancer microenvironment
Ellem, S. J., De-Juan-Pardo, E. M., & Risbridger, G. P. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.04.008 · Cited by 68
Tumour endothelial cells acquire drug resistance in a tumour microenvironment
Hida, K., Akiyama, K., Ohga, N., Maishi, N., & Hida, Y. (2013) · Journal of Biochemistry · doi:10.1093/jb/mvs152 · Cited by 68
A bladder cancer microenvironment simulation system based on a microfluidic co-culture model
Liu, P.-F., Cao, Y.-W., Zhang, S.-D., Zhao, Y., Liu, X.-G., Shi, H.-Q., Hu, K.-Y., Zhu, G.-Q., Ma, B., & Niu, H.-T. (2015) · Oncotarget · doi:10.18632/oncotarget.6070 · Cited by 68
Lin, X., Chen, Q., Liu, W., Zhang, J., Wang, S., Lin, Z., & Lin, J.-M. (2015) · Scientific Reports · doi:10.1038/srep09643 · Cited by 67
Abaci, H. E., Devendra, R., Smith, Q., Gerecht, S., & Drazer, G. (2012) · Biomedical Microdevices · doi:10.1007/s10544-011-9592-9 · Cited by 67
Alonzo, L. F., Moya, M. L., Shirure, V. S., & George, S. C. (2015) · Lab on a Chip · doi:10.1039/c5lc00507h · Cited by 66
Bridging the gap: microfluidic devices for short and long distance cell–cell communication
Vu, T. Q., de Castro, R. M. B., & Qin, L. (2017) · Lab on a Chip · doi:10.1039/c6lc01367h · Cited by 63
Three Dimensional Microfluidic Cell Arrays for ex Vivo Drug Screening with Mimicked Vascular Flow
Dereli-Korkut, Z., Akaydin, H. D., Ahmed, A. H. R., Jiang, X., & Wang, S. (2014) · Analytical Chemistry · doi:10.1021/ac403899j · Cited by 62
A microfluidic model for organ-specific extravasation of circulating tumor cells
Riahi, R., Yang, Y. L., Kim, H., Jiang, L., Wong, P. K., & Zohar, Y. (2014) · Biomicrofluidics · doi:10.1063/1.4868301 · Cited by 60
Three-dimensional cell culture device utilizing thin membrane deformation by decompression
Anada, T., Masuda, T., Honda, Y., Fukuda, J., Arai, F., Fukuda, T., & Suzuki, O. (2010) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2010.01.065 · Cited by 58
Neimark, J. (2015) · Science · doi:10.1126/science.347.6225.938 · Cited by 57
A microfluidic co-culture system to monitor tumor-stromal interactions on a chip
Menon, N. V., Chuah, Y. J., Cao, B., Lim, M., & Kang, Y. (2014) · Biomicrofluidics · doi:10.1063/1.4903762 · Cited by 53
Dynamic Microenvironment Induces Phenotypic Plasticity of Esophageal Cancer Cells Under Flow
Calibasi Kocal, G., Güven, S., Foygel, K., Goldman, A., Chen, P., Sengupta, S., Paulmurugan, R., Baskin, Y., & Demirci, U. (2016) · Scientific Reports · doi:10.1038/srep38221 · Cited by 52
DiResta, G. R., Nathan, S. S., Manoso, M. W., Casas-Ganem, J., Wyatt, C., Kubo, T., Boland, P. J., Athanasian, E. A., Miodownik, J., Gorlick, R., et al. (2005) · Annals of Biomedical Engineering · doi:10.1007/s10439-005-5732-9 · Cited by 51
Cancer immunotherapy μ-environment LabChip: taking advantage of optoelectronic tweezers
Ke, L.-Y., Kuo, Z.-K., Chen, Y.-S., Yeh, T.-Y., Dong, M., Tseng, H.-W., & Liu, C.-H. (2018) · Lab on a Chip · doi:10.1039/c7lc00963a · Cited by 50
Wang, J.-Z., Zhu, Y.-X., Ma, H.-C., Chen, S.-N., Chao, J.-Y., Ruan, W.-D., Wang, D., Du, F.-G., & Meng, Y.-Z. (2016) · Materials Science and Engineering: C · doi:10.1016/j.msec.2016.01.045 · Cited by 49
Digital microfluidics for spheroid-based invasion assays
Bender, B. F., Aijian, A. P., & Garrell, R. L. (2016) · Lab on a Chip · doi:10.1039/c5lc01569c · Cited by 49
Test System for Trifunctional Antibodies in 3D MCTS Culture
Hirschhaeuser, F., Leidig, T., Rodday, B., Lindemann, C., & Mueller‐Klieser, W. (2009) · SLAS DISCOVERY · doi:10.1177/1087057109341766 · Cited by 47
Zou, H., Yue, W., Yu, W.-K., Liu, D., Fong, C.-C., Zhao, J., & Yang, M. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b00873 · Cited by 47
Biomimetic channel modeling local vascular dynamics of pro-inflammatory endothelial changes
Thomas, A., Daniel Ou-Yang, H., Lowe-Krentz, L., Muzykantov, V. R., & Liu, Y. (2016) · Biomicrofluidics · doi:10.1063/1.4936672 · Cited by 46
Fabrication of multilayered vascular tissues using microfluidic agarose hydrogel platforms
Kinoshita, K., Iwase, M., Yamada, M., Yajima, Y., & Seki, M. (2016) · Biotechnology Journal · doi:10.1002/biot.201600083 · Cited by 46
Casbas-Hernandez, P., Fleming, J. M., & Troester, M. A. (2011) · BioMed Research International · doi:10.1155/2011/520987 · Cited by 43
A convection-driven long-range linear gradient generator with dynamic control
Wang, H., Chen, C.-H., Xiang, Z., Wang, M., & Lee, C. (2015) · Lab on a Chip · doi:10.1039/c4lc01451k · Cited by 40
Del Amo, C., Borau, C., Movilla, N., Asín, J., & García-Aznar, J. M. (2017) · Integrative Biology · doi:10.1039/c7ib00022g · Cited by 38
Semiautomatic Growth Analysis of Multicellular Tumor Spheroids
Rodday, B., Hirschhaeuser, F., Walenta, S., & Mueller‐Klieser, W. (2011) · SLAS DISCOVERY · doi:10.1177/1087057111419501 · Cited by 37
Kang, T., Park, C., & Lee, B.-J. (2016) · Archives of Pharmacal Research · doi:10.1007/s12272-016-0847-0 · Cited by 35
Research works printed but not linked: 17
- WHO , Cancer , WHO , 2017
- Hegerfeldt, 2002, Cancer Res., 62, 2125
- N. Gengenbacher , M.Singhal and H. G.Augustin , Preclinical mouse solid tumour models , Nature Publishing Group , 2017 , vol. 17 12 , pp. 751–765
- Mak, 2014, Am. J. Transl. Res., 6, 114
- Breslin, 2013, Drug Discovery Today, 18, 240, 10.1016/j.drudis.2012.10.003 · DOI · Paper page
- Ahn, 2017, IEEE Trans. Nanotechnol., 1
- Khoo, 2016, Sci. Adv., 2, e1600274, 10.1126/sciadv.1600274 · DOI · Paper page
- Trietsch, 2013, Lab Chip, 13, 3548, 10.1039/c3lc50210d · DOI · Paper page
- Less, 1992, Cancer Res., 52, 6371
- Curti, 1993, Cancer Res., 53, 2204
- Gutmann, 1992, Cancer Res., 52, 1993
- Griffon-Etienne, 1999, Cancer Res., 59, 3776
- Leu, 2000, Cancer Res., 60, 4324
- Boucher, 1991, Cancer Res., 51, 6691
- Boucher, 1990, Cancer Res., 50, 4478
- Weigelt, 2005, Nat. Rev. Cancer, 5, 591, 10.1038/nrc1670 · DOI · Paper page
- Wang, 2015, Lab Chip, 15, 1445, 10.1039/C4LC01451K · DOI · Paper page
Cited by
Sorted by citations
A guide to the organ-on-a-chip
Leung, C. M., de Haan, P., Ronaldson-Bouchard, K., Kim, G.-A., Ko, J., Rho, H. S., Chen, Z., Habibovic, P., Jeon, N. L., Takayama, S., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00118-6 · Cited by 1,116
3D In Vitro Model (R)evolution: Unveiling Tumor–Stroma Interactions
Rodrigues, J., Heinrich, M. A., Teixeira, L. M., & Prakash, J. (2021) · Trends in Cancer · doi:10.1016/j.trecan.2020.10.009 · Cited by 405
Role of Nanoparticle Mechanical Properties in Cancer Drug Delivery
Hui, Y., Yi, X., Hou, F., Wibowo, D., Zhang, F., Zhao, D., Gao, H., & Zhao, C. (2019) · ACS Nano · doi:10.1021/acsnano.9b03924 · Cited by 398
“62,63 Interaction with Cancer Cells.”
Tumor microenvironment: barrier or opportunity towards effective cancer therapy
Tiwari, A., Trivedi, R., & Lin, S. (2022) · Journal of Biomedical Science · doi:10.1186/s12929-022-00866-3 · Cited by 399
“These models can be used to study tumor-stroma interactions and their systemic effects simultaneously [27, 242, 243].”
BackgroundEmerging roles of ECM remodeling processes in cancer
Mohan, V., Das, A., & Sagi, I. (2019) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2019.09.004 · Cited by 343
Metadata
- Authors
- Shang, M., Soon, R. H., Lim, C. T., Khoo, B. L., & Han, J.
- Affiliations
- National University of Singapore (SG)
- Singapore-MIT Alliance for Research and Technology (SG)
- Corresponding author
- Lim, Chwee Teck
- Khoo, Bee Luan
- Han, Jongyoon
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2019
- Volume
- 19
- Issue
- 3
- Pages
- 369-386
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2907333863
- Cited by
- 227
- References
- 217
- Citations by year
- 2026: 12 · 2025: 17 · 2024: 24 · 2023: 36 · 2022: 45 · 2021: 35 · 2020: 36 · 2019: 22
- FWCI
- 2.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Lab on a Chip (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- Mechanobiology Institute, Singapore
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- tumor microenvironment, microfluidic tumor model, anticancer drug discovery, in vitro drug testing, 3D tumor models, 2D cell culture, animal models, personalized medicine
- MeSH terms
- Animals, Antineoplastic Agents, Drug Screening Assays, Antitumor, Humans, Lab-On-A-Chip Devices, Tumor Microenvironment
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