Development of a biomimetic liver tumor-on-a-chip model based on decellularized liver matrix for toxicity testing
Open accessAbstract
Cancer poses a great health threat to both developed and developing countries, and anti-cancer drugs are of important interest for improved clinical outcomes. Although tumor-on-a-chip technologies offer a feasible approach to screening drug toxicity, their capability to mimic the native tumor microenvironment (TME) is still limited. For better mimicry of the TME, we developed a biomimetic three-dimensional (3D) liver tumor-on-a-chip with the integration of essential components derived from decellularized liver matrix (DLM) with gelatin methacryloyl (GelMA) in a microfluidics-based 3D dynamic cell culture system. The biomimetic liver tumor-on-a-chip based on the integration of DLM components with GelMA, as opposed to GelMA only, had an increased capability to maintain cell viability and to enhance hepatocyte functions under flow conditions. The improved performance of the DLM-GelMA-based tumor-on-a-chip may be attributed to the provision of biochemical factors (e.g., growth factors), the preservation of scaffold proteins, and the reestablishment of biophysical cues (e.g., stiffness and shear stress) for better recapitulation of the 3D liver TME. Furthermore, this DLM-GelMA-based tumor-on-a-chip exhibited linear dose-dependent drug responses to the toxicity of acetaminophen and sorafenib. Taken together, our study demonstrates that the DLM-GelMA-based biomimetic liver tumor-on-a-chip better mimics the in vivo TME and holds great promise for a breadth of pathological and pharmacological studies.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 33 cited sources checked · 0 supported · 0 flagged
- Findingreasoning
The DLM-GelMA-based liver tumor-on-a-chip, compared with GelMA only, enhanced hepatocyte functions under flow conditions.
“The biomimetic liver tumor-on-a-chip based on the integration DLM components with GelMA, as opposed to GelMA only, had an increased capability to maintain cell viability and to enhance hepatocyte functions under flow conditions.”
Quote in the paperSubstantial claim - Findingown data
The DLM-GelMA-based tumor-on-a-chip exhibited linear dose-dependent drug responses to sorafenib toxicity.
“Furthermore, this DLM-GelMA-based tumor-on-a-chip exhibited linear dose-dependent drug responses to the toxicity of acetaminophen and sorafenib.”
Quote in the paperSubstantial claim - Findingcitation
Liver decellularization was successfully obtained through physical treatment and chemical perfusion based on an optimized decellularization protocol.
“Liver decellularization was successfully obtained through physical treatment and chemical perfusion based on the optimization of a decellularization protocol as reported before 27 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] 27. B. E. Uygun, A. Soto-Gutierrez, H. Yagi, M.-L. Izamis, M. A. Guzzardi, C. Shulman, J. Milwid, N. Kobayashi, A. Tilles, F. Berthiaume, M. Hertl, Y. Nahmias, M. L. Yarmush and K. Uygun, Nature Medicine, 2010, 16, 814-U120.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
The DLM-GelMA-based tumor-on-a-chip demonstrates dose-dependent responses to the toxicity of acetaminophen and sorafenib.
“Moreover, this DLM-GelMA-based tumor-on-a-chip demonstrates dose-dependent responses to the toxicity of acetaminophen and sorafenib.”
Quote in the paperSubstantial claim - Findingown data
The DLM-GelMA-based liver tumor-on-a-chip promoted hepatocyte functions such as albumin and urea production in HepG2 cells, as opposed to GelMA only, in a pathologically relevant 3D microenvironment.
“As demonstrated, this DLM-GelMA-based liver tumor-on-a-chip promoted the cell viability and hepatocyte functions (e.g., production of albumin and urea) of HepG2 cells, as opposed to the use of GelMA only, in a pathologically relevant 3D microenvironment.”
Quote in the paperSubstantial claim
- Findingown data
The DLM-GelMA-based liver tumor-on-a-chip promoted HepG2 cell viability, as opposed to GelMA only, in a pathologically relevant 3D microenvironment.
“As demonstrated, this DLM-GelMA-based liver tumor-on-a-chip promoted the cell viability and hepatocyte functions (e.g., production of albumin and urea) of HepG2 cells, as opposed to the use of GelMA only, in a pathologically relevant 3D microenvironment.”
Quote in the paperSubstantial claim - Findingown data
The DLM-GelMA-based tumor-on-a-chip exhibited linear dose-dependent drug responses to acetaminophen toxicity.
“Furthermore, this DLM-GelMA-based tumor-on-a-chip exhibited linear dose-dependent drug responses to the toxicity of acetaminophen and sorafenib.”
Quote in the paperSubstantial claim - Findingown data
The 2:3 DLM-GelMA hydrogels had an average pore size of 100.34 ± 8.56 μm.
“Additionally, the 2:3 DLM-GelMA hydrogels had an average pore size 100.34 ± 8.56 µm, which could promote cellular spreading and cell-to-cell interaction, and thus facilitate the formation of extensive 3-D cellular network.”
Quote in the paperSubstantial claim - Findingown data
HGF concentration in the DLM solution before UV exposure was 4.27 ± 0.05 pg/mg dry weight.
“The concentration of HGF in the native liver was 6.70 ± 0.08 pg/mg, whereas it decreased to 4.27 ± 0.05 pg/mg (before UV exposure) and 4.37 ± 0.04 pg/mg dry weight (after UV exposure).”
Quote in the paperNot a substantial claim - Findingown data
The dry concentration of collagen in the DLM was increased by approximately 18-fold compared to native liver tissue.
“Compared to the collagen concentration in native liver tissue, the dry concentration of collagen in the DLM was increased by approximately 18-fold (Fig. 3B and Table S4).”
Quote in the paperNot a substantial claim - Findingown data
Other ECM-affiliated proteins, ECM glycoproteins, and ECM regulators are preserved along with some secreted factors after decellularization and enzymolysis.
“In addition, other ECM-affiliated proteins, ECM glycoproteins, and ECM regulators are preserved along with some secreted factors after decellularization and enzymolysis (Fig. 3E).”
Quote in the paperSubstantial claim - Findingown data
UV exposure did not seem to affect the concentration of GAG within the DLM solution.
“Similarly, the UV exposure did not seem to affect the concentration of GAG within the DLM solution.”
Quote in the paperNot a substantial claim - Findingown data
The incorporation of bioactive extracellular components derived from DLM and growth factors with GelMA provided a similar biomechanical ECM (e.g., Young's modulus) to native liver tissues.
“The incorporation of bioactive extracellular components derived from DLM and growth factors with GelMA not only provided a similar biomechanical ECM (e.g., Young's modulus) with native liver tissues (Fig. 4), but also increased the viability and function of HepG2 cells (e.g., secretion of albumin and urea) in the liver tumor-on-a-chip (Fig. 5).”
Quote in the paperSubstantial claim - Findingown data
The collagen concentration in the device (0.0591 μg/μL) closely resembles the collagen content in the native liver (0.06275 μg/μL).
“Although the collagen dry weight of the DLM solution is 18-fold that of the native liver (Fig. 3B), the collagen concentration in the device (0.0591 µg/µL) closely resembles the collagen content in the native liver (0.06275 µg/µL) (Detailed calculation can be found in Supporting Information in Table S1).”
Quote in the paperSubstantial claim - Findingown data
bFGF concentration in the DLM solution was 4.58 ± 0.11 pg/mg.
“The concentration of bFGF the native liver was 5.29 ± 0.09 pg/mg, whereas it was 4.58 ± 0.11 pg/mg in the DLM solution, suggesting a significant loss of bFGF during the decellularization and enzymolysis processes.”
Quote in the paperNot a substantial claim - Findingown data
Linear dose-dependent drug responses were observed for both acetaminophen and sorafenib in terms of cell viability, urea secretion, and albumin secretion.
“Furthermore, linear dose-dependent drug responses were observed for both model drugs in terms of cell viability, and urea and albumin secretion (Fig. 6B-G).”
- Also stated in: § 4. Discussion and conclusion · plain
“Furthermore, linear dose-dependent drug responses were observed in cell viability and hepatocyte function such as secretion of urea and albumin for both acetaminophen and sorafenib (Fig. 6B-G).”
Quote in the paperSubstantial claim - Also stated in: § 4. Discussion and conclusion · plain
- Findingown data
Collagen concentration from the DLM solution before UV irradiation was 144.33 ± 50.74 ng/mg.
“The concentration of collagen from the DLM solution before and after UV irradiation was 144.33 ± 50.74 ng/mg, and 147.84 ± 23.71 ng/mg, respectively, indicating that the collagen was not affected by UV exposure (p > 0.05).”
Quote in the paperNot a substantial claim - Findingown data
Collagen in the DLM solution was not affected by UV exposure (p > 0.05).
“The concentration of collagen from the DLM solution before and after UV irradiation was 144.33 ± 50.74 ng/mg, and 147.84 ± 23.71 ng/mg, respectively, indicating that the collagen was not affected by UV exposure (p > 0.05).”
Quote in the paperNot a substantial claim - Findingown data
Collagen concentration from the DLM solution after UV irradiation was 147.84 ± 23.71 ng/mg.
“The concentration of collagen from the DLM solution before and after UV irradiation was 144.33 ± 50.74 ng/mg, and 147.84 ± 23.71 ng/mg, respectively, indicating that the collagen was not affected by UV exposure (p > 0.05).”
Quote in the paperNot a substantial claim - Findingown data
The DLM-GelMA biomaterial exhibited porous microstructures under SEM.
“Following UV exposure, the mixture of DLM with GelMA solution became gellified, and the obtained DLM-GelMA biomaterial exhibited porous microstructures under SEM (Fig. 4A).”
Quote in the paperNot a substantial claim - Findingown data
UV exposure did not seem to affect the concentration of HGF.
“These data indicate that the decellularization and enzymolysis process reduced the HGF content, and the UV exposure did not seem to affect the concentration of HGF.”
Quote in the paperNot a substantial claim - Findingown data
The majority of HGF and bFGF sustained after UV exposure.
“Nevertheless, the majority of HGF and bFGF were preserved within the DLM solution, and the majority of them sustained after UV exposure.”
Quote in the paperSubstantial claim - Findingown data
Via sequential perfusion of SDS and Triton X-100, translucent acellular liver matrices were obtained in 9 h.
“Via sequential perfusion of SDS and Triton X-100, translucent acellular liver matrices were obtained in 9 h, offering a more efficient way than the method outlined by Uygun et al., which takes almost 72 h to obtain a decellularized liver 27 .”
Quote in the paperSubstantial claim - Findingown data
The absence of cells in the DLM was demonstrated by the lack of blue color following DAPI staining.
“The absence of cells in the DLM was demonstrated by the lack of blue color following the DAPI staining (Fig. 2B).”
Quote in the paperSubstantial claim - Findingown data
HepG2 viability was significantly elevated by the addition of DLM components in hybrid DLM-GelMA hydrogels for up to 7 days.
“More importantly, HepG2 viability was significantly elevated due to the addition of DLM components in the hybrid DLM-GelMA hydrogels for up to 7 days (Fig. 5B).”
Quote in the paperSubstantial claim - Findingown data
HGF concentration in native liver was 6.70 ± 0.08 pg/mg.
“The concentration of HGF in the native liver was 6.70 ± 0.08 pg/mg, whereas it decreased to 4.27 ± 0.05 pg/mg (before UV exposure) and 4.37 ± 0.04 pg/mg dry weight (after UV exposure).”
Quote in the paperNot a substantial claim - Findingown data
The Young's modulus of 2:3 DLM-GelMA was 16.91 ± 0.54 kPa.
“The Young's modulus of 2:3 DLM-GelMA was determined to be 16.91± 0.54 kPa (Table S5), which better resembles the Young's modulus of a fibrotic liver (> 12kPa) 31 , a pre-condition for liver cancer, and which falls in the range of liver stiffness (ranging approximately from 5 to 60kPa) 15,32 .”
Quote in the paperSubstantial claim - Findingown data
The majority of HGF and bFGF were preserved within the DLM solution.
“Nevertheless, the majority of HGF and bFGF were preserved within the DLM solution, and the majority of them sustained after UV exposure.”
Quote in the paperSubstantial claim - Findingown data
Immunofluorescence and H&E staining confirmed that all cells were completely removed from the liver tissues.
“Immunofluorescence (Fig. 2B) and H&E staining results (Fig. 2C) confirmed that all the cells were completely removed from the liver tissues.”
Quote in the paperSubstantial claim - Findingown data
HepG2 cells encapsulated in 2:3 DLM-GelMA hydrogels were cultured over 21 days without reducing cell viability, as measured by live/dead staining with confocal imaging.
“Since the cells were grown in 3D hydrogels with continuously flow of media, HepG2 cells were able to be cultured over a period of 21 days without reducing cell viability, which was measured via live/dead staining with the aid of confocal imaging (Fig. 5A).”
Quote in the paperSubstantial claim - Findingown data
bFGF concentration within the DLM solution reduced to 4.07 ± 0.02 pg/mg after UV exposure.
“Furthermore, the concentration of bFGF within the DLM solution reduced to 4.07 ± 0.02 pg/mg, as opposed to 4.58 ± 0.11 pg/mg, after UV exposure, suggesting that UV exposure might damage bFGF.”
Quote in the paperNot a substantial claim - Findingown data
Sorafenib treatment at 10.0, 15.0, and 20.0 μM produced a more evident toxic effect on HepG2 cells in the liver tumor-on-a-chip.
“A more evident toxic effect was observed for 10.0, 15.0, 20.0 µM of sorafenib treated HepG2 cells in the liver tumor-on-a-chip (Fig. 6A).”
Quote in the paperSubstantial claim - Findingown data
Total DNA after decellularization was 21.99 ± 1.34 ng/mL.
“DNA quantification results showed the total of DNA after decellularization was 21.99 ± 1.34 ng/mL, suggesting that DNA from the native liver were removed by decellularization and DNase treatment (Fig. 2E).”
Quote in the paperSubstantial claim - Findingown data
There was no significant difference in cell viability during the 3D dynamic culture until Day 21.
“There was no significant difference in cell viability during the 3D dynamic culture till Day 21.”
Quote in the paperSubstantial claim - Findingown data
Albumin secretion from HepG2 cells encapsulated in 2:3 DLM-GelMA hydrogels was significantly higher than in the GelMA-only control until Day 14.
“In contrast, the secretion of albumin from HepG2 cells encapsulated in the 2:3 DLM-GelMA hydrogels showed significantly higher performance till Day 14 (Fig. 5D).”
Quote in the paperSubstantial claim - Findingown data
GAG concentration from the DLM solution was increased by 2.5-fold compared to native liver tissues.
“The concentration of GAG from the DLM solution was also increased by 2.5-fold (Fig. 3C and Table S4), compared to its counterpart in native liver tissues.”
Quote in the paperNot a substantial claim - Findingown data
Acetaminophen treatment at 5.0, 10.0, and 20.0 mM resulted in significant cell death after 24 h compared to the untreated group in the liver tumor-on-a-chip.
“The overlaid confocal images of live/dead staining showed that the acetaminophen treatment at 5.0, 10.0 and 20.0 mM resulted in significant cell death after 24 h, compared to the untreated group (Fig. 6A).”
Quote in the paperSubstantial claim - Findingown data
bFGF concentration in native liver was 5.29 ± 0.09 pg/mg.
“The concentration of bFGF the native liver was 5.29 ± 0.09 pg/mg, whereas it was 4.58 ± 0.11 pg/mg in the DLM solution, suggesting a significant loss of bFGF during the decellularization and enzymolysis processes.”
Quote in the paperSubstantial claim - Findingown data
Compared to GelMA only, 2:3 DLM-GelMA consistently had higher performance regarding cell viability and hepatocyte function in the liver tumor-on-a-chip.
“Compared to GelMA only in the liver tumor-on-a-chip, the performance of 2:3 DLM-GelMA consistently had higher performance regarding cell viability and hepatocyte function (Fig. 6B-G).”
Quote in the paperSubstantial claim - Findingown data
A similar trend of toxicity from acetaminophen and sorafenib was observed in the liver tumor-on-a-chip with GelMA only.
“A similar trend of toxicity arising from acetaminophen and sorafenib was also observed in the liver tumor-on-a-chip with GelMA only (Fig. S3).”
Quote in the paperNot a substantial claim - Findingreasoning
The difference in supporting cell growth tapers off during long-term culture from Day 10 to Day 21.
“However, it should be noted that the difference in supporting cell growth tapers off during long-term culture from Day 10 to Day 21.”
Quote in the paperSubstantial claim - Findingown data
Urea secretion from HepG2 cells encapsulated in 2:3 DLM-GelMA hydrogels was consistently higher than in the GelMA-only control over the entire 21 days of 3D dynamic cell culture on-chip.
“In addition, the secretion of urea from HepG2 cells encapsulated in the 2:3 DLM-GelMA hydrogels was consistently higher than that in the control group with GelMA only over the entire 21 days of 3D dynamic cell culture on-chip (Fig. 5C).”
Quote in the paperSubstantial claim - Findingown data
The acellular scaffolds preserved the four major structural proteins (collagen I, collagen IV, fibronectin, laminin) of ECM and growth factors.
“More importantly, acellular scaffolds preserved the four major structural proteins (i.e., collagen I, collagen IV, fibronectin and laminin) of ECM and growth factors (Fig. 3).”
Quote in the paperSubstantial claim - Findingown data
HGF concentration in the DLM solution after UV exposure was 4.37 ± 0.04 pg/mg dry weight.
“The concentration of HGF in the native liver was 6.70 ± 0.08 pg/mg, whereas it decreased to 4.27 ± 0.05 pg/mg (before UV exposure) and 4.37 ± 0.04 pg/mg dry weight (after UV exposure).”
Quote in the paperNot a substantial claim - Findingown data
The proportion of protein components in the DLM solution was 43% ECM-affiliated proteins, 29% glycoproteins, 14% collagens, 7% ECM regulators, and 7% secreted factors.
“As revealed in the pie chart (Fig. 3F), the proportion of protein components in the DLM solution was determined to be 43% ECM-affiliated proteins, 29% glycoproteins, 14% collagens, 7% ECM regulators, and 7% secreted factors.”
Quote in the paperNot a substantial claim - Findingown data
SEM imaging revealed a mesh-like structure of the DLM.
“SEM imaging revealed a mesh-like structure of the DLM (Fig. 2D).”
Quote in the paperNot a substantial claim - Findingown data
A large proportion of cellular proteins and debris were removed from the native liver during the decellularization and enzymolysis processes.
“The results showed that a large proportion of cellular proteins and debris were removed from the native liver, as shown in the heatmap (Fig. 3E), during the decellularization and enzymolysis processes.”
Quote in the paperSubstantial claim - Findingnone given
The DLM-GelMA hydrogel has a thickness of 1 mm.
“The fluid flow is of particularly importance for the DLM-GelMA hydrogel, which has a thickness of 1 mm, since 200 micrometers is reported to be the maximal diffusion distance of oxygen 33 .”
Quote in the paperSubstantial claim - Findingown data
The amount of double-stranded DNA (dsDNA) on the decellularized liver was less than 50 ng/mg of ECM dry weight.
“Moreover, the amount of double stranded DNA (dsDNA) found on the decellularized liver was less than 50 ng/mg of the ECM dry weight (Fig. 2E), which is low enough to meet decellularization requirements 34 .”
Quote in the paperSubstantial claim - Findingown data
The ECM proteins fibronectin, laminin, collagen type I, and collagen type IV were preserved after the decellularization process.
“The immunostaining of the four ECM proteins (i.e., fibronectin, laminin, collagen type I, and collagen type IV) demonstrated that these ECM basement components were preserved after the decellularization process (Fig. 2B).”
Quote in the paperSubstantial claim - Findingown data
Bioactive substances such as collagens, ECM-associated proteins and glycoproteins, as well as growth factors, were successfully preserved in the DLM solution.
“The proteomic analysis revealed that bioactive substances such as collagens, ECM-associated proteins and glycoproteins, as well as growth factors were successfully preserved in the DLM solution.”
Quote in the paperSubstantial claim - Findingown data
The DLM-GelMA-based liver tumor-on-a-chip maintained a relatively higher level of cell viability and hepatocyte function in the presence of increasing concentrations of acetaminophen and sorafenib compared to GelMA only.
“In addition, this biomimetic tumor-on-a-chip with integration of DLM-GelMA, as opposed to GelMA only, maintained a relatively higher level of cell viability and hepatocyte function in the presence of increasing concentrations of acetaminophen and sorafenib (Fig. 6).”
Quote in the paperSubstantial claim - Findingown data
Following a 9-h decellularization process, rat livers became transparent.
“Following a 9-h decellularization process, rat livers became transparent (Fig. 2A).”
Quote in the paperNot a substantial claim - Findingown data
Cell viability of HepG2 cells in DLM-GelMA groups, regardless of volume ratio, was significantly elevated compared to GelMA only.
“Evidently, the cell viability of HepG2 cells in the group of DLM-GelMA, regardless of the volume ratio, showed significantly elevated cell viability than the group with GelMA only.”
Quote in the paperSubstantial claim - Findingown data
Protein abundance in the DLM solution did not differ substantially before and after UV exposure.
“In addition, the protein abundance in the DLM solution did not differ substantially before and after UV exposure.”
Quote in the paperNot a substantial claim - Findingown data
The 2:3 DLM-GelMA hydrogels showed superior performance.
“Taken together, DLM-GelMA hydrogels showed great biocompatibility with 3D culture of HepG2 cells, and the 2:3 DLM-GelMA hydrogels showed the superior performance.”
Quote in the paperSubstantial claim - Findingown data
Multiple ECM-associated proteins and collagens are preserved after decellularization, as revealed by mass spectrometry.
“Furthermore, multiple ECM-associated proteins and collagens are preserved, as revealed by mass spectrometry analysis (Fig. 3F).”
Quote in the paperSubstantial claim - Findingown data
The level of cell viability and hepatocyte functions in the 2:3 DLM-GelMA hydrogels were elevated compared to GelMA only in the biomimetic tumor-on-a-chip.
“More importantly, the level of cell viability and hepatocyte functions in the 2:3 DLM-GelMA hydrogels were elevated, compared to GelMA only, in the biomimetic tumor-on-a-chip, suggesting that this DLM-GelMA based biomimetic liver tumor-on-a-chip better recapitulate the in vivo liver 3D TME for more accurate toxicity assessment.”
Quote in the paperSubstantial claim - Findingown data
There was no significant difference in Young's modulus among hybrid hydrogels with different mixing ratios and GelMA only.
“The results showed that the Young's modulus of the 2:3 DLM-GelMA hydrogels was 16.91 ± 0.54 kPa, which showed no significant difference among the hybrid hydrogels with different mixing ratios and GelMA only (Fig. 4C and Table S5), indicating that the integration of DLM does not significantly alter the Young's modulus of GelMA.”
Quote in the paperNot a substantial claim - Findingown data
The largest pore sizes were observed in DLM-GelMA with mixing ratios of 2:3 and 1:1, ranging from 100.34 ± 8.56 to 101.54 ± 5.97 μm.
“Notably, the largest pore sizes were observed in DLM-GelMA with a mixing ratio of 2:3 and 1:1, ranging from 100.34 ± 8.56 to 101.54 ± 5.97 µm (Fig. 4B and Table S5).”
Quote in the paperNot a substantial claim - Findingown data
Cell viability decreased in the presence of increasing concentrations of both acetaminophen and sorafenib.
“Indeed, the cell viability decreased in the presence of incresing cencentrations of both model drugs as indicated in confocoal images of live/dead staining (Fig. 6A and Fig. S3), which is also supported by a previous study 35 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] 35. C. Ma, L. Zhao, E. M. Zhou, J. Xu, S. Shen and J. Wang, Analytical chemistry, 2016, 88, 1719-1727.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
The 2:3 volume ratio showed superior cell viability of HepG2 to the second best ratio of 1:1 during the period of 8 days.
“This volume ratio showed superior cell viability of HepG2 to the second best ratio of 1:1 during the period of 8 days of”
Quote in the paperSubstantial claim - Findingown data
The cell viability of HepG2, as indicated by CCK-8 absorbance at 450 nm, was highest on day 1, 4, and 8 for DLM-GelMA hydrogels at a volume ratio of 2:3.
“As shown in Fig. 4E, the cell viability of HepG2, as indicated by the absorbance of CCK-8 reagent at 450 nm, was the highest on day 1, 4 and 8,for the DLM-GelMA hydrogels at a volume ratio of 2:3.”
Quote in the paperSubstantial claim - Premisecitation
DLM allows for better maintenance of hepatocyte phenotypes such as secretion of albumin and urea in vitro.
“Although a decellularized liver matrix (DLM) allows for a better maintenance of hepatocyte phenotypes such as section of albumin (ALB) and urea in vitro 21,[25][26][27] , the incorporation of DLM components into a perfusion-based tumor-on-a-chip platform for better recapitulation of 3D liver tumor microenvironment (TME) has not yet been reported.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites 21,[25][26][27]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
A close simulation of 3D ECM with native growth factors would be more accurate for assessing drug toxicity.
“Thus, a close simulation of 3D ECM with native growth factors would be more accurate for assessing drug toxicity.”
Quote in the paperSubstantial claim - Premisecitation
High risks exist in Stage 1 clinical trials when drug candidates pass animal studies, as unknown side effects are often observed.
“As a result, high risks still exist in Stage 1 clinical trials, when drug candidates even pass animal studies, as unknown side effects are often observed 7 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] 7. H. P. Shih, X. Zhang and A. M. Aronov, Nature reviews. Drug discovery, 2018, 17, 78.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Tumor-on-a-chip technologies offer a feasible approach to drug toxicity testing.
“Although tumor-on-a-chip technologies offers a feasible approach to drug toxicity testing, their capability to mimic the native extracellular matrix (ECM) is still, to a certain extent, limited 12 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] 12. H. F. Tsai, A. Trubelja, A. Q. Shen and G. Bao, Journal of the Royal Society, Interface, 2017, 14.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Hepatocytes are significantly affected by bioactive molecules such as HGF and bFGF preserved in liver acellular scaffolds.
“Furthermore, hepatocytes can attach to the ECM components of an acellular scaffold, and they are significantly affected by bioactive molecules (e.g., hepatocyte growth factor (HGF) and basic fibroblast growth factor (bFGF)) preserved in the liver acellular scaffolds 24 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] 24. J. E. Arenas-Herrera, I. K. Ko, A. Atala and J. J. Yoo, Biomedical materials, 2013, 8, 014106.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Hepatocytes can attach to the ECM components of an acellular scaffold.
“Furthermore, hepatocytes can attach to the ECM components of an acellular scaffold, and they are significantly affected by bioactive molecules (e.g., hepatocyte growth factor (HGF) and basic fibroblast growth factor (bFGF)) preserved in the liver acellular scaffolds 24 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] 24. J. E. Arenas-Herrera, I. K. Ko, A. Atala and J. J. Yoo, Biomedical materials, 2013, 8, 014106.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Effective compounds screened by traditional 2D culture systems often fail in animal studies or clinical trials.
“Despite the clinical severity, few new anti-cancer drugs are readily available, since effective compounds screened by traditional two-dimensional (2D) culture system often fail in animal studies or clinical trials 2,3 .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [2] 2. G. Caponigro and W. R. Sellers, Nature Reviews Drug Discovery, 2011, 10, 179-187.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [3] 3. H. Qi, G. Huang, Y. L. Han, W. Lin, X. Li, S. Wang, T. J. Lu and F. Xu, Critical Reviews In Biotechnology, 2016, 36, 20-31.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
In vitro 3D culture systems using GelMA scaffolds lack appropriate native growth factors that promote cell growth and sustain cell function.
“Although GelMA scaffolds closely resemble the mechanical characteristics of ECM, the in vitro 3D culture systems still lack appropriate native growth factors that promote cell growth and sustain cell function 16,19,20 .”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [16] 16. D. Loessner, C. Meinert, E. Kaemmerer, L. C. Martine, K. Yue, P. A. Levett, T. J. Klein, F. P. Melchels, A. Khademhosseini and D. W. Hutmacher, Nature protocols, 2016, 11, 727-746.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [19] 19. F. F. Fu, L. R. Shang, F. Y. Zheng, Z. Y. Chen, H. Wang, J. Wang, Z. Z. Gu and Y. J. Zhao, ACS Appl. Mater. Interfaces, 2016, 8, 13840-13848.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [20] 20. Y. Liu and M. B. Chan-Park, Biomaterials, 2010, 31, 1158-1170.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Animal models cannot reliably predict safety and efficacy in clinical studies.
“Although animal models are used as the gold standard for drug testing, these models are expensive and time-consuming, and more importantly they cannot reliably predict the safety and efficacy in clinical studies 2,6 .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [2] 2. G. Caponigro and W. R. Sellers, Nature Reviews Drug Discovery, 2011, 10, 179-187.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [6] 6. J. W. Scannell, A. Blanckley, H. Boldon and B. Warrington, Nature Reviews Drug Discovery, 2012, 11, 191-200.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The DLM-GelMA-based biomimetic liver tumor-on-a-chip better mimics the in vivo TME.
“Taken together, our study demonstrates that the DLM-GelMA-based biomimetic liver tumor-on-a-chip better mimics in vivo TME and holds great promise for a breadth of pathological and pharmacological studies.”
Quote in the paperSubstantial claim - Interpretationreasoning
The improved performance of the DLM-GelMA-based tumor-on-a-chip may be attributed to provision of biochemical factors, preservation of scaffold proteins, and reestablishment of biophysical cues for better recapitulation of the 3D liver TME.
“The improved performance of the DLM-GelMA-based tumor-on-a-chip may be attributed to the provision of biochemical factors (e.g., growth factors), the preservation of scaffold proteins, and the reestablishment of biophysical cues (e.g., stiffness and shear stress) for better recapitulation of 3D liver TME.”
Quote in the paperSubstantial claim - Premisecitation
Decellularized liver scaffolds have been developed for the preservation of major collagens and growth factors.
“To establish an ECM with native growth factors, decellularized liver scaffolds have been developed for the preservation of major collagens and growth factors 21 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] 21. S. F. Badylak, D. Taylor and K. Uygun, Annual Review Of Biomedical Engineering, 2011, 13, 27-53..
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
A decellularized liver scaffold with retained growth factors enhances the culturing of hepatic cells.
“For example, a decellularized liver scaffold with retained growth factors enhances the culturing of hepatic cells [21][22][23] .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21][22][23]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The biomimetic liver tumor-on-a-chip platform with essential collagens and growth factors derived from DLM can better recapitulate the 3D liver TME.
“Clearly, this biomimetic liver tumor-on-a-chip platform, with the addition of essential collagens and growth factors derived from DLM, can better recapitulate the 3D liver TME, thus offering an important testing platform for assessing drug toxicity.”
Quote in the paperSubstantial claim- Rests on an assumption: The incorporation of DLM components into a perfusion-based tumor-on-a-chip platform for better recapitulation of the 3D liver tumor microenvironment has not yet been reported.
- Interpretationreasoning
The biomimetic liver tumor-on-a-chip better recapitulates the 3D liver TME via DLM-GelMA hydrogels with essential scaffold proteins and growth factors, as well as biophysical cues such as stiffness and shear stress.
“This biomimetic liver tumor-on-a-chip better recapitulates the 3D liver TME via DLM-GelMA hydrogels with essential scaffold proteins and growth factors, as well as biophysical cues such as stiffness and shear stress.”
Quote in the paperSubstantial claim- Rests on an assumption: The incorporation of DLM components into a perfusion-based tumor-on-a-chip platform for better recapitulation of the 3D liver tumor microenvironment has not yet been reported.
- Premisecitation
Organ-on-a-chip models have been used as drug testing platforms due to their close simulation of drug-induced toxicity in vivo.
“Recently, organ-on-a-chip models have been used as drug testing platforms due to their close simulation of drug-induced toxicity in vivo, a major reason for the withdrawal of drugs [8][9][10][11] .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8][9][10][11]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Tumor-on-a-chip technologies' capability to mimic the native ECM is limited.
“Although tumor-on-a-chip technologies offers a feasible approach to drug toxicity testing, their capability to mimic the native extracellular matrix (ECM) is still, to a certain extent, limited 12 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] 12. H. F. Tsai, A. Trubelja, A. Q. Shen and G. Bao, Journal of the Royal Society, Interface, 2017, 14.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
The protein components derived from DLM play an important role in supporting cell growth and sustaining hepatocyte function.
“The protein components derived from DLM are believed to play an important role in supporting cell growth and sustain hepatocyte function (Fig. 4E and Fig. 5), since addition of growth factors can boost cell growth and functions 22,30 .”
Quote in the paperSubstantial claim - Premisecitation
A dsDNA amount of less than 50 ng/mg ECM dry weight is low enough to meet decellularization requirements.
“Moreover, the amount of double stranded DNA (dsDNA) found on the decellularized liver was less than 50 ng/mg of the ECM dry weight (Fig. 2E), which is low enough to meet decellularization requirements 34 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] 34. P. M. Crapo, T. W. Gilbert and S. F. Badylak, Biomaterials, 2011, 32, 3233-3243.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The method outlined by Uygun et al. takes almost 72 h to obtain a decellularized liver.
“Via sequential perfusion of SDS and Triton X-100, translucent acellular liver matrices were obtained in 9 h, offering a more efficient way than the method outlined by Uygun et al., which takes almost 72 h to obtain a decellularized liver 27 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27] 27. B. E. Uygun, A. Soto-Gutierrez, H. Yagi, M.-L. Izamis, M. A. Guzzardi, C. Shulman, J. Milwid, N. Kobayashi, A. Tilles, F. Berthiaume, M. Hertl, Y. Nahmias, M. L. Yarmush and K. Uygun, Nature Medicine, 2010, 16, 814-U120.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Integration of DLM-based liver-specific growth factors and collagens in a microfluidic system significantly enhanced the viability and function of HepG2 cells.
“Via the technical advances mentioned above, a major biological finding from this study is that the integration of DLM-based liver-specific growth factors and collagens in a microfluidic system significantly enhanced the viability and function of HepG2 cells.”
Quote in the paperSubstantial claim - Interpretationreasoning
The biomimetic liver tumor-on-a-chip with integrated structural proteins and growth factors derived from DLM, being more similar to in vivo situations, might have more accurate assessment of drug toxicity.
“More importantly, this biomimetic liver tumor-on-a-chip with integrated structural proteins and growth factors derived from DLM, which is more similar to in vivo situations, might have more accurate assessment of drug toxicity.”
Quote in the paperSubstantial claim - Interpretationown data
DLM-GelMA hydrogels showed great biocompatibility with 3D culture of HepG2 cells.
“Taken together, DLM-GelMA hydrogels showed great biocompatibility with 3D culture of HepG2 cells, and the 2:3 DLM-GelMA hydrogels showed the superior performance.”
Quote in the paperSubstantial claim - Interpretationown data
The 3D DLM-GelMA cell culture in a microfluidic system reestablishes similar biophysical cues such as stiffness and shear stress as in vivo, thereby simulating the 3D liver TME.
“We also simulated the 3D liver TME by reestablishing similar biophysical cues such as stiffness and shear stress as in vivo with the aid of 3D DLM-GelMA cell culture in a microfluidic system.”
Quote in the paperSubstantial claim- Rests on an assumption: The fluidic flow at 2 µL/h in the microfluidic device provides physiologically relevant shear stress to liver cells.
- Interpretationcitation
The 9-h decellularization protocol is more efficient than the method of Uygun et al.
“Via sequential perfusion of SDS and Triton X-100, translucent acellular liver matrices were obtained in 9 h, offering a more efficient way than the method outlined by Uygun et al., which takes almost 72 h to obtain a decellularized liver 27 .”
Quote in the paperSubstantial claim - Interpretationreasoning
Addition of growth factors may be needed to maintain high viability and hepatocyte function in the 2:3 DLM-GelMA hydrogels over a long period of time.
“These data suggest that addition of grow factors may be needed to maintain high viability and hepatocyte function in the 2:3 DLM-GelMA hydrogels over a long period of time.”
Quote in the paperSubstantial claim - Premisecitation
200 micrometers is the maximal diffusion distance of oxygen.
“The fluid flow is of particularly importance for the DLM-GelMA hydrogel, which has a thickness of 1 mm, since 200 micrometers is reported to be the maximal diffusion distance of oxygen 33 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] 33. L. Corstorphine and M. V. Sefton, Journal Of Tissue Engineering And Regenerative Medicine, 2011, 5, 119-129.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
DNA from the native liver was removed by decellularization and DNase treatment.
“DNA quantification results showed the total of DNA after decellularization was 21.99 ± 1.34 ng/mL, suggesting that DNA from the native liver were removed by decellularization and DNase treatment (Fig. 2E).”
Quote in the paperSubstantial claim - Interpretationown data
The biomimetic liver tumor-on-a-chip is capable of toxicity testing.
“These results demonstrated the capability of this biomimetic liver tumor-on-a-chip for toxicity testing.”
Quote in the paperSubstantial claim - Interpretationown data
The biomimetic liver tumor-on-a-chip would better recapitulate liver 3D TME for more accurate toxicity assessment compared to 3D Transwell or 2D petri dish models.
“Although hepatotoxicity testing in general can be performed in 3D Transwell or 2D petri dish models, the evident technological advances of this biomimetic liver tumor-on-a-chip would be able better recapitulate liver 3D TME for more accurate toxicity assessment.”
Quote in the paperSubstantial claim- Rests on an assumption: Existing tumor-on-a-chip technologies have limited capability to highly mimic the native TME.
- Interpretationown data
There was a significant loss of bFGF during the decellularization and enzymolysis processes.
“The concentration of bFGF the native liver was 5.29 ± 0.09 pg/mg, whereas it was 4.58 ± 0.11 pg/mg in the DLM solution, suggesting a significant loss of bFGF during the decellularization and enzymolysis processes.”
Quote in the paperNot a substantial claim - Premisecitation
Major collagen components of liver scaffolds (collagen I, collagen IV, fibronectin, laminin) play an essential role in tumor growth and metastasis.
“As demonstrated, the major collagen components of liver scaffolds (e.g., collagen I, collagen IV, fibronectin, and laminin) were preserved after decellularization (Fig. 2), which plays an essential role in tumor growth and metastasis 28,29 .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [28] 28. K. R. Levental, H. M. Yu, L. Kass, J. N. Lakins, M. Egeblad, J. T. Erler, S. F. T. Fong, K. Csiszar, A. Giaccia, W. Weninger, M. Yamauchi, D. L. Gasser and V. M. Weaver, Cell, 2009, 139, 891-906.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [29] 29. T. R. Cox, D. Bird, A. M. Baker, H. E. Barker, M. W. Y. Ho, G. Lang and J. T. Erler, Cancer Res., 2013, 73, 1721-1732.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The decellularization and enzymolysis process reduced HGF content.
“These data indicate that the decellularization and enzymolysis process reduced the HGF content, and the UV exposure did not seem to affect the concentration of HGF.”
Quote in the paperNot a substantial claim - Interpretationown data
The average pore size of 2:3 DLM-GelMA hydrogels could promote cellular spreading and cell-to-cell interaction, facilitating formation of an extensive 3D cellular network.
“Additionally, the 2:3 DLM-GelMA hydrogels had an average pore size 100.34 ± 8.56 µm, which could promote cellular spreading and cell-to-cell interaction, and thus facilitate the formation of extensive 3-D cellular network.”
Quote in the paperSubstantial claim - Interpretationreasoning
The reconstructed 3D liver TME by supplementing GelMA with scaffold proteins and growth factors derived from DLM in a perfusion-based microfluidic chip better recapitulates the 3D liver TME with respect to scaffolds, biochemical factors, and biophysical cues.
“Hence, the reconstructed 3D liver TME by supplementing GelMA with scaffold proteins and growth factors derived from DLM in a perfusion-based microfluidic chip better recapitulate the 3D liver TME with respect to scaffolds, biochemical factors and biophysical cues.”
Quote in the paperSubstantial claim- Rests on an assumption: Existing tumor-on-a-chip technologies have limited capability to highly mimic the native TME.
- Rests on an assumption: The fluidic flow at 2 µL/h in the microfluidic device provides physiologically relevant shear stress to liver cells.
- Interpretationreasoning
The novel DLM-GelMA-based liver tumor-on-a-chip further improves recapitulation of the liver 3D TME with essential components derived from DLM and mimicry of biophysical cues.
“Therefore, the novel DLM-GelMA-based liver tumor-on-a-chip further improves the recapitulation of the liver 3D TME with essential components derived from DLM and the mimicry of biophysical cues, which holds great potential for more accurate toxicity testing.”
Quote in the paperSubstantial claim- Rests on an assumption: Existing tumor-on-a-chip technologies have limited capability to highly mimic the native TME.
- Interpretationown data
UV exposure might damage bFGF.
“Furthermore, the concentration of bFGF within the DLM solution reduced to 4.07 ± 0.02 pg/mg, as opposed to 4.58 ± 0.11 pg/mg, after UV exposure, suggesting that UV exposure might damage bFGF.”
Quote in the paperNot a substantial claim - Interpretationown data
The incorporation of bioactive extracellular components derived from DLM and growth factors with GelMA increased the viability and function of HepG2 cells in the liver tumor-on-a-chip.
“The incorporation of bioactive extracellular components derived from DLM and growth factors with GelMA not only provided a similar biomechanical ECM (e.g., Young's modulus) with native liver tissues (Fig. 4), but also increased the viability and function of HepG2 cells (e.g., secretion of albumin and urea) in the liver tumor-on-a-chip (Fig. 5).”
Quote in the paperSubstantial claim - Interpretationown data
The Young's modulus of 2:3 DLM-GelMA falls in the range of liver stiffness (approximately 5 to 60 kPa).
“The Young's modulus of 2:3 DLM-GelMA was determined to be 16.91± 0.54 kPa (Table S5), which better resembles the Young's modulus of a fibrotic liver (> 12kPa) 31 , a pre-condition for liver cancer, and which falls in the range of liver stiffness (ranging approximately from 5 to 60kPa) 15,32 .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [15] 15. D. Dong, T. Hao, C. Wang, Y. Zhang, Z. Qin, B. Yang, W. Fang, L. Ye, F. Yao and J. Li, Biomaterials, 2018, 157, 149-160.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [32] 32. E. C. Beck, M. Barragan, M. H. Tadros, S. H. Gehrke and M. S. Detamore, Acta biomaterialia, 2016, 38, 94-105.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The novel DLM-GelMA-based liver tumor-on-a-chip holds great potential for more accurate toxicity testing.
“Therefore, the novel DLM-GelMA-based liver tumor-on-a-chip further improves the recapitulation of the liver 3D TME with essential components derived from DLM and the mimicry of biophysical cues, which holds great potential for more accurate toxicity testing.”
Quote in the paperSubstantial claim - Interpretationreasoning
The tapering off of the difference in supporting cell growth from Day 10 to Day 21 is most likely due to consumption or removal of growth factors from the microfluidics system, since the media was changed at an interval of 7 days.
“The major reason is most likely due to the consumption or removal of growth factors from the microfluidics system, since the media was changed at an interval of 7 days.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is possible that perfusion slowly removes growth factors from the 3D construct, which can also mitigate cell viability and hepatocyte function over time.
“Additionally, it is possible that the perfusion might slowly remove the growth factors from the 3D construct, which can also mitigate the cell viability and hepatocyte function over time.”
Quote in the paperSubstantial claim - Interpretationown data
The 2:3 DLM-GelMA hydrogels are superior to the GelMA-only control in supporting cell growth and hepatocyte function of HepG2 cells on the liver tumor-on-a-chip platform.
“Taken together, these results clearly indicated the superiority of the 2:3 DLM-GelMA hydrogels, compared to the control group with GelMA only, in supporting cell growth and hepatocyte function of HepG2 cells on the liver tumor-on-a-chip platform.”
Quote in the paperSubstantial claim - Interpretationcitation
Fluid flow is particularly important for the DLM-GelMA hydrogel because its 1 mm thickness exceeds the maximal oxygen diffusion distance.
“The fluid flow is of particularly importance for the DLM-GelMA hydrogel, which has a thickness of 1 mm, since 200 micrometers is reported to be the maximal diffusion distance of oxygen 33 .”
Quote in the paperSubstantial claim - Interpretationown data
Essential ECM components and liver-specific factors derived from DLM contribute to the proliferation and functionality of HepG2 cells in the biomimetic liver tumor-on-a-chip with better recapitulation of the 3D liver TME.
“These data altogether demonstrate that essential ECM components and liver-specific factors derived from DLM contribute to the proliferation and functionality of HepG2 cells in the biomimetic liver tumor-on-a-chip with better recapitulation of the 3D liver TME.”
Quote in the paperSubstantial claim - Interpretationown data
The Young's modulus of 2:3 DLM-GelMA better resembles the Young's modulus of a fibrotic liver (>12 kPa), a precondition for liver cancer.
“The Young's modulus of 2:3 DLM-GelMA was determined to be 16.91± 0.54 kPa (Table S5), which better resembles the Young's modulus of a fibrotic liver (> 12kPa) 31 , a pre-condition for liver cancer, and which falls in the range of liver stiffness (ranging approximately from 5 to 60kPa) 15,32 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] 31. R. G. Wells, Biochimica Et Biophysica Acta-Molecular Basis Of Disease, 2013, 1832, 884-890.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The DLM-GelMA based biomimetic liver tumor-on-a-chip better recapitulates the in vivo liver 3D TME for more accurate toxicity assessment.
“More importantly, the level of cell viability and hepatocyte functions in the 2:3 DLM-GelMA hydrogels were elevated, compared to GelMA only, in the biomimetic tumor-on-a-chip, suggesting that this DLM-GelMA based biomimetic liver tumor-on-a-chip better recapitulate the in vivo liver 3D TME for more accurate toxicity assessment.”
Quote in the paperSubstantial claim - Interpretationown data
Integration of DLM does not significantly alter the Young's modulus of GelMA.
“The results showed that the Young's modulus of the 2:3 DLM-GelMA hydrogels was 16.91 ± 0.54 kPa, which showed no significant difference among the hybrid hydrogels with different mixing ratios and GelMA only (Fig. 4C and Table S5), indicating that the integration of DLM does not significantly alter the Young's modulus of GelMA.”
Quote in the paperNot a substantial claim
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 9
- May combine two claims. 8
The quote only partly states this claim.
FindingreasoningThe DLM-GelMA-based liver tumor-on-a-chip, compared with GelMA only, had an increased capability to maintain HepG2 cell viability under flow conditions.
“The biomimetic liver tumor-on-a-chip based on the integration DLM components with GelMA, as opposed to GelMA only, had an increased capability to maintain cell viability and to enhance hepatocyte functions under flow conditions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe decellularization protocol has been successfully used to remove cells from heart and kidney in the authors' hands.
“In our hands, this decellularization protocol has been successfully used to remove cells from heart and kidney (not published).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataH&E staining showed pink eosinophilic staining indicative of collagen and no basophilic staining within the DLM indicative of absence of nucleus or cells.
“The H&E staining showed a pink eosinophilic staining, indicative of the presence of collagen, whereas there was no basophilic staining within the DLM, indicative of the absence of nucleus or cells (Fig. 2C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRemoval of liver cells was successfully achieved through an optimized decellularization protocol, resulting in DLM within 9 h.
“These results demonstrated that the removal of the liver cells was successfully achieved through an optimized decellularization protocol, resulting in DLM within 9 h.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThrough decellularization, liver cells were removed and DLM with essential collagens (collagen I, collagen IV, fibronectin, laminin) and growth factors (HGF and bFGF) was preserved.
“Through a decellularization process, liver cells were removed, and DLM with essential collagens (e.g., collagen I, collagen IV, fibronectin, and laminin) and growth factors (HGF and bFGF) was preserved (Fig. 23).”
- Also stated in: § 4. Discussion and conclusion · boosted
“As demonstrated, the major collagen components of liver scaffolds (e.g., collagen I, collagen IV, fibronectin, and laminin) were preserved after decellularization (Fig. 2), which plays an essential role in tumor growth and metastasis 28,29 .”
- Also stated in: § 4. Discussion and conclusion · plain
“In addition to the scaffold collagens, the decellularization preserved growth factors (HGF and bFGF) as revealed by ELISA (Fig. 3B-D), which have been reported to enhance cell viability and growth in vitro 22,30 .”
Quote in the paperSubstantial claim- Also stated in: § 4. Discussion and conclusion · boosted
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe integration of DLM into GelMA changed the infrared spectrum of GelMA.
“Clearly, the integration of DLM into GelMA changed the infrared spectrum of GelMA.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningAddition of DLM in GelMA increased the smoothness of DLM-GelMA hydrogels.
“It is also notable that the addition of DLM in GelMA increased the smoothness of DLM-GelMA hydrogels (Fig. 4A), which might be caused by the retention of ECM proteins and growth factors on the surface of GelMA polymers.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationExternal growth factors added into GelMA mixtures can effectively facilitate cell growth in vitro.
“As documented, external growth factors added into GelMA mixtures can effectively facilitate cell growth in vitro 13,18 .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [13] 13. J. Zhang, X. Zhao, L. Liang, J. Li, U. Demirci and S. Wang, Biomaterials, 2018, 157, 161-176.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [18] 18. X. Zhao, S. Liu, L. Yildirimer, H. Zhao, R. Ding, H. Wang, W. Cui and D. Weitz, Advanced functional materials, 2016, 26, 2809-2819.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study was approved by the Zhejiang University Experimental Animal Welfare Ethics Committee (ZJU20170787).
“The study was approved by the Zhejiang University Experimental Animal Welfare Ethics Committee (ZJU20170787).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationConventional 2D cell culture models are unable to mimic complex pathophysiological conditions and predict the toxicity of therapeutic compounds.
“This is mainly due to the inadequacy of conventional 2D cell culture models, which are unable to mimic complex pathophysiological conditions and predict the toxicity of therapeutic compounds 4,5 .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [4] 4. A. M. Ghaemmaghami, M. J. Hancock, H. Harrington, H. Kaji and A. Khademhosseini, Drug discovery today, 2012, 17, 173-181.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [5] 5. M. H. Wu, S. B. Huang and G. B. Lee, Lab Chip, 2010, 10, 939-956.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGelMA hydrogels have been commonly used as 3D scaffolds to closely simulate some critical mechanical properties of ECM.
“For instance, gelatin methacryloyl (GelMA) hydrogels have been commonly used as 3D scaffolds to closely simulate some critical mechanical properties of ECM [16][17][18] .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16][17][18]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThe optimized decellularization protocol is efficient and versatile in achieving decellularized matrix while maintaining ECM proteins and growth factors for regenerative medicine.
“Thus, this optimized decellularization protocol is efficient and versatile in achieving decellularized matrix while maintaining ECM proteins and growth factors for regenerative medicine.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHGF and bFGF enhance cell viability and growth in vitro.
“In addition to the scaffold collagens, the decellularization preserved growth factors (HGF and bFGF) as revealed by ELISA (Fig. 3B-D), which have been reported to enhance cell viability and growth in vitro 22,30 .”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [22] 22. K. M. Park, K. H. Hussein, S. H. Hong, C. Ahn, S. R. Yang, S. M. Park, O. K. Kweon, B. M. Kim and H. M. Woo, Tissue engineering. Part A, 2016, 22, 449-460.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [30] 30. W. Yang, Q. Y. Chen, R. P. Xia, Y. J. Zhang, L. Shuai, J. J. Lai, X. L. You, Y. Jiang, P. Bie, L. D. Zhang, H. Y. Zhang and L. H. Bai, Biomaterials, 2018, 177, 52-66.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningA flow rate of 2 μL/h in the microfluidic device creates a fluid-flow environment for cells and constantly facilitates mass exchange (delivery of oxygen and nutrients, removal of metabolic wastes).
“A flow rate of 2 µL/h in this microfluidic device not only creates a fluid-flow environment for cells, but also constantly facilitates mass exchange (e.g., delivery of oxygen and nutrients and removal of metabolic wastes).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe increased smoothness of DLM-GelMA hydrogels might be caused by retention of ECM proteins and growth factors on the surface of GelMA polymers.
“It is also notable that the addition of DLM in GelMA increased the smoothness of DLM-GelMA hydrogels (Fig. 4A), which might be caused by the retention of ECM proteins and growth factors on the surface of GelMA polymers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenConsumption or depletion of growth factors over long-term culture would not affect toxicity testing, which was completed in 3 days.
“However, it should be noted that the consumption or depletion of growth factors over long-term culture would not affect the toxicity testing, which was completed in 3 days.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The incorporation of DLM components into a perfusion-based tumor-on-a-chip platform for better recapitulation of the 3D liver tumor microenvironment has not yet been reported.
“Although a decellularized liver matrix (DLM) allows for a better maintenance of hepatocyte phenotypes such as section of albumin (ALB) and urea in vitro 21,[25][26][27] , the incorporation of DLM components into a perfusion-based tumor-on-a-chip platform for better recapitulation of 3D liver tumor microenvironment (TME) has not yet been reported.”
The paper relies on this without support.
Existing tumor-on-a-chip technologies have limited capability to highly mimic the native TME.
“Although tumor-on-a-chip technologies offer a feasible approach to screening drug toxicity, their capability to highly mimic the native TME is still limited.”
The paper relies on this without support.
The fluidic flow at 2 µL/h in the microfluidic device provides physiologically relevant shear stress to liver cells.
“Furthermore, we simulated the shear stress that liver cells experience by providing fluidic flow.”
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?
IHC confirmed preservation of ECM proteins including collagen types I, III, and IV, laminin, and fibronectin.
“Furthermore, quantitative chemical assays, including immunohistochemistry (IHC) as well, confirmed the preservation of distinctive ECM proteins. Matrical components like collagen types I, III, and IV, laminin, and fibronectin were preserved [17,18].”
From From scaffold to function: A systematic review on dLECM-based hydrogels for liver tissue engineering — Fabrication, properties, and translational applications (2026) · cites this paper as [17]
Section 3.1 reports that immunostaining showed preservation of collagen types I and IV, laminin, and fibronectin after decellularization. Section 2.2 identifies the method as immunofluorescence, and the paper does not report immunostaining evidence for preservation of collagen type III. Page numbers are unavailable in our copy. (LLM, conf=0.91)
Experimental — accuracy not yet measured
Cites
Matrix Crosslinking Forces Tumor Progression by Enhancing Integrin Signaling
Levental, K. R., Yu, H., Kass, L., Lakins, J. N., Egeblad, M., Erler, J. T., Fong, S. F. T., Csiszar, K., Giaccia, A., Weninger, W., et al. (2009) · Cell · doi:10.1016/j.cell.2009.10.027 · Cited by 4,101 · see citing works
An overview of tissue and whole organ decellularization processes
Crapo, P. M., Gilbert, T. W., & Badylak, S. F. (2011) · Biomaterials · doi:10.1016/j.biomaterials.2011.01.057 · Cited by 3,591 · see citing works
Bhatia, S. N., & Ingber, D. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.2989 · Cited by 3,305 · see citing works
Llovet, J. M., Zucman-Rossi, J., Pikarsky, E., Sangro, B., Schwartz, M., Sherman, M., & Gores, G. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.18 · Cited by 2,531 · see citing works
Diagnosing the decline in pharmaceutical R&D efficiency
Scannell, J. W., Blanckley, A., Boldon, H., & Warrington, B. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3681 · Cited by 1,981 · see citing works
Uygun, B. E., Soto-Gutierrez, A., Yagi, H., Izamis, M.-L., Guzzardi, M. A., Shulman, C., Milwid, J., Kobayashi, N., Tilles, A., Berthiaume, F., et al. (2010) · Nature Medicine · doi:10.1038/nm.2170 · Cited by 1,370 · see citing works
Badylak, S. F., Taylor, D., & Uygun, K. (2011) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071910-124743 · Cited by 1,041 · see citing works
Loessner, D., Meinert, C., Kaemmerer, E., Martine, L. C., Yue, K., Levett, P. A., Klein, T. J., Melchels, F. P. W., Khademhosseini, A., & Hutmacher, D. W. (2016) · Nature Protocols · doi:10.1038/nprot.2016.037 · Cited by 868 · see citing works
A liver-on-a-chip platform with bioprinted hepatic spheroids
Bhise, N. S., Manoharan, V., Massa, S., Tamayol, A., Ghaderi, M., Miscuglio, M., Lang, Q., Shrike Zhang, Y., Shin, S. R., Calzone, G., et al. (2016) · Biofabrication · doi:10.1088/1758-5090/8/1/014101 · Cited by 615 · see citing works
LOX-Mediated Collagen Crosslinking Is Responsible for Fibrosis-Enhanced Metastasis
Cox, T. R., Bird, D., Baker, A.-M., Barker, H. E., Ho, M. W.-Y., Lang, G., & Erler, J. T. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-2233 · Cited by 571 · see citing works
Microfluidic cell culture systems for drug research
Wu, M.-H., Huang, S.-B., & Lee, G.-B. (2010) · Lab on a Chip · doi:10.1039/b921695b · Cited by 432 · see citing works
Zhao, X., Liu, S., Yildirimer, L., Zhao, H., Ding, R., Wang, H., Cui, W., & Weitz, D. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504943 · Cited by 426 · see citing works
Self-citationWells, R. G. (2013) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2013.02.007 · Cited by 384 · see citing works
Biomimetic tissues on a chip for drug discovery
Ghaemmaghami, A. M., Hancock, M. J., Harrington, H., Kaji, H., & Khademhosseini, A. (2012) · Drug Discovery Today · doi:10.1016/j.drudis.2011.10.029 · Cited by 359 · see citing works
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 · see citing works
Liu, Y., & Chan-Park, M. B. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2009.10.040 · Cited by 285 · see citing works
Beck, E. C., Barragan, M., Tadros, M. H., Gehrke, S. H., & Detamore, M. S. (2016) · Acta Biomaterialia · doi:10.1016/j.actbio.2016.04.019 · Cited by 222 · see citing works
Decellularization for whole organ bioengineering
Arenas-Herrera, J. E., Ko, I. K., Atala, A., & Yoo, J. J. (2013) · Biomedical Materials · doi:10.1088/1748-6041/8/1/014106 · Cited by 221 · see citing works
Tumour-on-a-chip: microfluidic models of tumour morphology, growth and microenvironment
Tsai, H.-F., Trubelja, A., Shen, A. Q., & Bao, G. (2017) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0137 · Cited by 214 · see citing works
Use of Decellularized Porcine Liver for Engineering Humanized Liver Organ
Barakat, O., Abbasi, S., Rodriguez, G., Rios, J., Wood, R. P., Ozaki, C., Holley, L. S., & Gauthier, P. K. (2012) · Journal of Surgical Research · doi:10.1016/j.jss.2011.09.033 · Cited by 208 · see citing works
Advances in the preclinical testing of cancer therapeutic hypotheses
Caponigro, G., & Sellers, W. R. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3385 · Cited by 165 · see citing works
Hepatic organoids for microfluidic drug screening
Au, S. H., Chamberlain, M. D., Mahesh, S., Sefton, M. V., & Wheeler, A. R. (2014) · Lab on a Chip · doi:10.1039/c4lc00531g · Cited by 162 · see citing works
Sabetkish, S., Kajbafzadeh, A.-M., Sabetkish, N., Khorramirouz, R., Akbarzadeh, A., Seyedian, S. L., Pasalar, P., Orangian, S., Beigi, R. S. H., Aryan, Z., et al. (2015) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.35291 · Cited by 152 · see citing works
Ma, C., Zhao, L., Zhou, E.-M., Xu, J., Shen, S., & Wang, J. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.5b03869 · Cited by 145 · see citing works
Cells Cultured on Core–Shell Photonic Crystal Barcodes for Drug Screening
Fu, F., Shang, L., Zheng, F., Chen, Z., Wang, H., Wang, J., Gu, Z., & Zhao, Y. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b04966 · Cited by 118 · see citing works
Park, K.-M., Hussein, K. H., Hong, S.-H., Ahn, C., Yang, S.-R., Park, S.-M., Kweon, O.-K., Kim, B.-M., & Woo, H.-M. (2016) · Tissue Engineering Part A · doi:10.1089/ten.tea.2015.0313 · Cited by 113 · see citing works
A decade of progress in liver regenerative medicine
Zhang, J., Zhao, X., Liang, L., Li, J., Demirci, U., & Wang, S. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2017.11.027 · Cited by 111 · see citing works
Self-citationLiu, X., Zhou, L., Chen, X., Liu, T., Pan, G., Cui, W., Li, M., Luo, Z.-P., Pei, M., Yang, H., et al. (2016) · Materials Science and Engineering: C · doi:10.1016/j.msec.2015.12.090 · Cited by 66 · see citing works
Self-citationLee, B. H., Shirahama, H., Kim, M. H., Lee, J. H., Cho, N.-J., & Tan, L. P. (2017) · NPG Asia Materials · doi:10.1038/am.2017.126 · Cited by 52 · see citing works
Dong, D., Hao, T., Wang, C., Zhang, Y., Qin, Z., Yang, B., Fang, W., Ye, L., Yao, F., & Li, J. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2017.12.011 · Cited by 51 · see citing works
Wang, J., Chen, F., Liu, L., Qi, C., Wang, B., Yan, X., Huang, C., Hou, W., Zhang, M. Q., Chen, Y., et al. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.03.001 · Cited by 50 · see citing works
Effectiveness factor and diffusion limitations in collagen gel modules containing HepG2 cells
Corstorphine, L., & Sefton, M. V. (2011) · Journal of Tissue Engineering and Regenerative Medicine · doi:10.1002/term.296 · Cited by 43 · see citing works
Yang, W., Chen, Q., Xia, R., Zhang, Y., Shuai, L., Lai, J., You, X., Jiang, Y., Bie, P., Zhang, L., et al. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.05.026 · Cited by 30 · see citing works
Qi, H., Huang, G., Han, Y. L., Lin, W., Li, X., Wang, S., Lu, T. J., & Xu, F. (2016) · Critical Reviews in Biotechnology · doi:10.3109/07388551.2014.922917 · Cited by 26 · see citing works
Self-citationErratum: Drug discovery effectiveness from the standpoint of therapeutic mechanisms and indications
Shih, H.-P., Zhang, X., & Aronov, A. M. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.255 · Cited by 15 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Targeting Tumor Microenvironment for Cancer Therapy
Roma-Rodrigues, C., Mendes, R., Baptista, P. V., & Fernandes, A. R. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20040840 · Cited by 1,187 · see citing works
Organ-on-a-chip: recent breakthroughs and future prospects
Wu, Q., Liu, J., Wang, X., Feng, L., Wu, J., Zhu, X., Wen, W., & Gong, X. (2020) · BioMedical Engineering OnLine · doi:10.1186/s12938-020-0752-0 · Cited by 704 · see citing works
Multiorgan-on-a-Chip: A Systemic Approach To Model and Decipher Inter-Organ Communication
Picollet-D’hahan, N., Żuchowska, A., Lemeunier, I., & Gac, S. L. (2021) · Trends in biotechnology · doi:10.1016/j.tibtech.2020.11.014 · Cited by 384 · see citing works
Biomedical applications of gelatin methacryloyl hydrogels
Piao, Y., You, H., Xu, T., Bei, H., Piwko, I. Z., Kwan, Y. Y., & Zhao, X. (2021) · Engineered Regeneration · doi:10.1016/j.engreg.2021.03.002 · Cited by 300 · see citing works
“5 B ) [54] .”
Self-citationCould 3D models of cancer enhance drug screening?
Brancato, V., Oliveira, J. M., Correlo, V. M., Reis, R. L., & Kundu, S. C. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119744 · Cited by 283 · see citing works
Deng, J., Wei, W., Chen, Z., Lin, B., Zhao, W., Luo, Y., & Zhang, X. (2019) · Micromachines · doi:10.3390/mi10100676 · Cited by 232 · see citing works
Decellularized Extracellular Matrix for Bioengineering Physiomimetic 3D in Vitro Tumor Models
Ferreira, L. P., Gaspar, V. M., & Mano, J. F. (2020) · Trends in Biotechnology · doi:10.1016/j.tibtech.2020.04.006 · Cited by 153 · see citing works
Simulating drug concentrations in PDMS microfluidic organ chips
Grant, J., Özkan, A., Oh, C., Mahajan, G., Prantil-Baun, R., & Ingber, D. E. (2021) · Lab on a Chip · doi:10.1039/d1lc00348h · Cited by 133 · see citing works
Biomedical application of photo-crosslinked gelatin hydrogels
Xiang, L., & Cui, W. (2021) · Journal of Leather Science and Engineering · doi:10.1186/s42825-020-00043-y · Cited by 132 · see citing works
“A few amino acid residues (about 5% of molar ratio) were involved during the process of synthesizing GelMA [6] and the RGD motifs will not react with MA [7–9], which means the functions of RGD and MMP degradable motifs are still reserved.”
BackgroundSelf-citationAdvances in Organ-on-a-Chip Materials and Devices
Nahak, B. K., Mishra, A., Preetam, S., & Tiwari, A. (2022) · ACS Applied Bio Materials · doi:10.1021/acsabm.2c00041 · Cited by 124 · see citing works
Shedding light on 3D printing: Printing photo-crosslinkable constructs for tissue engineering
Zhang, Q., Bei, H., Zhao, M., Dong, Z., & Zhao, X. (2022) · Biomaterials · doi:10.1016/j.biomaterials.2022.121566 · Cited by 94 · see citing works
Self-citationWang, Y., Wu, D., Wu, G., Wu, J., Lu, S., Lo, J., He, Y., Zhao, C., Zhao, X., Zhang, H., et al. (2020) · Theranostics · doi:10.7150/thno.38736 · Cited by 93 · see citing works
“The decellularized scaffold of liver was prepared according to the method previously described [29].”
MethodSelf-citationLiving Materials for Regenerative Medicine
Yu, Y., Wang, Q., Wang, C., & Shang, L. (2021) · Engineered Regeneration · doi:10.1016/j.engreg.2021.08.003 · Cited by 88 · see citing works
Recent progress in lab-on-a-chip for pharmaceutical analysis and pharmacological/toxicological test
Ai, Y., Zhang, F., Wang, C., Xie, R., & Liang, Q. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.06.026 · Cited by 86 · see citing works
Mimicking the Natural Basement Membrane for Advanced Tissue Engineering
Jain, P., Rauer, S. B., Möller, M., & Singh, S. (2022) · Biomacromolecules · doi:10.1021/acs.biomac.2c00402 · Cited by 82 · see citing works
Vernengo, J., Grad, S., Eglin, D., Alini, M., & Li, Z. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201909044 · Cited by 84 · see citing works
Developing tissue engineering strategies for liver regeneration
Wang, J., Huang, D., Yu, H., Cheng, Y., Ren, H., & Zhao, Y. (2022) · Engineered Regeneration · doi:10.1016/j.engreg.2022.02.003 · Cited by 81 · see citing works
Experimental Models of Hepatocellular Carcinoma—A Preclinical Perspective
Blidișel, A., Marcovici, I., Coricovac, D. E., Huţ, E. F., Dehelean, C. A., & Cretu, O. M. (2021) · Cancers · doi:10.3390/cancers13153651 · Cited by 78 · see citing works
“Their platform exhibited a dose-dependent drug response to acetaminophen and sorafenib and represents an improved model for a range of future pharmacological and toxicological studies of anticancer drugs [107,110].”
BackgroundThe Field Guide to 3D Printing in Optical Microscopy for Life Sciences
Rosario, M. D., Heil, H. S., Mendes, A., Saggiomo, V., & Henriques, R. (2021) · Advanced Biology · doi:10.1002/adbi.202100994 · Cited by 79 · see citing works
Bioprinting a 3D vascular construct for engineering a vessel-on-a-chip
Abudupataer, M., Chen, N., Yan, S., Alam, M. F., Shi, Y., Wang, L., Lai, H., Li, J., Zhu, K., & Wang, C. (2019) · Biomedical Microdevices · doi:10.1007/s10544-019-0460-3 · Cited by 69 · see citing works
“In the human body, an organ consists of various types of cells and ECM components.”
MethodInfluentialSelf-citationRecent Advances of Organ-on-a-Chip in Cancer Modeling Research
Liu, X., Su, Q., Zhang, X., Yang, W., Ning, J., Jia, K., Xin, J., Li, H., Yu, L., Liao, Y., et al. (2022) · Biosensors · doi:10.3390/bios12111045 · Cited by 68 · see citing works
Bridging the gap between tumor-on-chip and clinics: a systematic review of 15 years of studies
Bouquerel, C., Dubrova, A., Hofer, I., Phan, D. T. T., Bernheim, M., Ladaigue, S., Cavaniol, C., Maddalo, D., Cabel, L., Mechta-Grigoriou, F., et al. (2023) · Lab on a Chip · doi:10.1039/d3lc00531c · Cited by 58 · see citing works
Recent advances in liver engineering with decellularized scaffold
Dai, Q., Jiang, W., Huang, F., Song, F., Zhang, J., & Zhao, H. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.831477 · Cited by 57 · see citing works
“Common methods Advantages Disadvantages Freeze-thaw Effectively disrupts cell membrane and lyses cell Does not remove cellular components Less disruptive to ECM Ice crystal formation disrupts microstructure of ECM and reduces mechanical strength Detergents Effectively lyse cells inside the organs Disrupt proteins and…”
Organ-on-a-Chip Applications in Microfluidic Platforms
An, L., Liu, Y., & Liu, Y. (2025) · Micromachines · doi:10.3390/mi16020201 · Cited by 63 · see citing works
Morais, A. D. S., Vieira, S., Zhao, X., Mao, Z., Gao, C., Oliveira, J. M., & Reis, R. L. (2020) · Advanced Healthcare Materials · doi:10.1002/adhm.201901435 · Cited by 56 · see citing works
Self-citationDriver, R., & Mishra, S. (2022) · BioChip Journal · doi:10.1007/s13206-022-00087-8 · Cited by 57 · see citing works
“Lu [77] overcame these limitations by developing a biomimetic 3D liver on-chip using GelMA integrated with a decellularized liver matrix (DLM).”
MethodDecellularized liver as a translucent ex vivo model for vascular embolization evaluation
Gao, Y., Li, Z., Hong, Y., Li, T., Hu, X., Sun, L., Chen, Z., Chen, Z., Luo, Z., Wang, X., et al. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.119855 · Cited by 57 · see citing works
Engineered Biomimetic Membranes for Organ-on-a-Chip
Rahimnejad, M., Rasouli, F., Jahangiri, S., Ahmadi, S., Rabiee, N., Farani, M. R., Akhavan, O., Asadnia, M., Fatahi, Y., Hong, S., et al. (2022) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.2c00531 · Cited by 55 · see citing works
Tumor-microenvironment-on-a-chip: the construction and application
Xu, H., Wen, J., Yang, J., Zhou, S., Li, Y., Xu, K., Li, W., & Li, S. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01884-4 · Cited by 60 · see citing works
“In addition, in order to better simulate the tumor microenvironment (TME), Siming et al. integrated two components of decellularized liver matrix (DLM) and gelatin methacrylate (GelMA) to develop a three-dimensional liver tumor chip [125].”
BackgroundDeveloping organs‐on‐chips for biomedical applications
Sun, L., Chen, H., Xu, D., Liu, R., & Zhao, Y. (2024) · Smart Medicine · doi:10.1002/smmd.20240009 · Cited by 51 · see citing works
Liver microphysiological platforms for drug metabolism applications
Kulsharova, G., & Kurmangaliyeva, A. (2021) · Cell Proliferation · doi:10.1111/cpr.13099 · Cited by 48 · see citing works
“[48], with permission of The Royal Society of Chemistry”
BackgroundPramanik, S., Alhomrani, M., Alamri, A. S., Alsanie, W. F., Nainwal, P., Kimothi, V., Deepak, A., & Sargsyan, A. S. (2024) · Biomedical Materials · doi:10.1088/1748-605x/ad4df7 · Cited by 46 · see citing works
“Approximately 5% of the molar ratio involved a few residues of amino acid during the synthesis of GelMA [16].”
Fabrication of Cell Spheroids for 3D Cell Culture and Biomedical Applications
Park, S. Y., Hong, H. J., & Lee, H. J. (2022) · BioChip Journal · doi:10.1007/s13206-022-00086-9 · Cited by 46 · see citing works
Kumar, D., Nadda, R., & Repaka, R. (2024) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-024-03062-7 · Cited by 48 · see citing works
“Lu et al. [38] combined decellularized liver matrixes with gelatin methacryloyl to construct biomimetic liver tumors that mimicked the 3D tumor microenvironment, which accurately mimicked the disease model.”
Foglizzo, V., Cocco, E., & Marchiò, S. (2022) · Cancers · doi:10.3390/cancers14153692 · Cited by 45 · see citing works
“The group also provided evidence of the usability of this chip for drug toxicity studies [77].”
BackgroundStem cells, organoids, and organ-on-a-chip models for personalized in vitro drug testing
van Berlo, D., Nguyen, V. V. T., Gkouzioti, V., Leineweber, K., Verhaar, M., & van Balkom, B. V. (2021) · Current Opinion in Toxicology · doi:10.1016/j.cotox.2021.08.006 · Cited by 35 · see citing works
Wu, G., Wu, J., Li, Z., Shi, S., Wu, D., Wang, X., Han, X., Liu, H., Huang, Y., Wang, R., et al. (2022) · Bio-Design and Manufacturing · doi:10.1007/s42242-022-00188-1 · Cited by 42 · see citing works
“used decellularized liver scaffolds and photocrosslinkable gelatin to mimic the extracellular matrix and constructed liver-on-a-chip to assess the toxic effects of sorafenib and acetaminophen on hepatocytes [22].”
MethodSelf-citation<i>In vitro</i> functional models for human liver diseases and drug screening: beyond animal testing
Paradiso, A., Volpi, M., Rinoldi, C., Celikkin, N., Contessi Negrini, N., Bilgen, M., Dallera, G., Pierini, F., Costantini, M., Święszkowski, W., et al. (2023) · Biomaterials Science · doi:10.1039/d1bm01872h · Cited by 40 · see citing works
Milan, P. B., Masoumi, F., Biazar, E., Jalise, S. Z., & Mehrabi, A. (2024) · Macromolecular Bioscience · doi:10.1002/mabi.202400322 · Cited by 41 · see citing works
Cancer-on-chip: a 3D model for the study of the tumor microenvironment
Cauli, E., Polidoro, M. A., Marzorati, S., Bernardi, C., Rasponi, M., & Lleò, A. (2023) · Journal of Biological Engineering · doi:10.1186/s13036-023-00372-6 · Cited by 41 · see citing works
“Biophysical properties and TME features can be recapitulated in these platforms providing better results in terms of drug screening [181, 182].”
BackgroundAllu, I., Sahi, A. K., Koppadi, M., Gundu, S., & Sionkowska, A. (2023) · Journal of Functional Biomaterials · doi:10.3390/jfb14100518 · Cited by 39 · see citing works
“[128] 1% Triton X-100 + 0.05% EDTA + 30 µ g/mL DNase A unidirectional, one-way perfusion flow improved and accelerated the decellularization approach.”
MethodInfluentialCarvalho, V. M., Bañobre‐López, M., Minas, G. M. H., Teixeira, S., Lima, R. A., & Rodrigues, R. O. (2022) · Bioprinting · doi:10.1016/j.bprint.2022.e00224 · Cited by 39 · see citing works
Xu, J., Yang, S., Su, Y., Hu, X., Xi, Y., Cheng, Y. Y., Kang, Y., Nie, Y., Pan, B., & Song, K. (2022) · International Journal of Bioprinting · doi:10.18063/ijb.v9i1.630 · Cited by 39 · see citing works
“The absorption peak at 1390 cm–1 was the stretching vibration of C-N, and the wide band at 3000–3500 cm–1 corresponding to the -OH group in the system[60].”
BackgroundOrgans-on-Chips Platforms Are Everywhere: A Zoom on Biomedical Investigation
Zommiti, M., Connil, N., Tahrioui, A., Groboillot, A., Barbey, C., Konto‐Ghiorghi, Y., Lesouhaitier, O., Chevalier, S., & Feuilloley, M. G. J. (2022) · Bioengineering · doi:10.3390/bioengineering9110646 · Cited by 39 · see citing works
Three dimensional engineered models to study hypoxia biology in breast cancer
Aggarwal, V., Miranda, O., Johnston, P. A., & Sant, S. (2020) · Cancer Letters · doi:10.1016/j.canlet.2020.05.030 · Cited by 40 · see citing works
Multi-organ-on-chip approach in cancer research
Żuchowska, A., & Skorupska, S. (2021) · Organs-on-a-Chip · doi:10.1016/j.ooc.2021.100014 · Cited by 39 · see citing works
On-chip modeling of tumor evolution: Advances, challenges and opportunities
Li, C., Holman, J. B., Shi, Z., Qiu, B., & Ding, W. (2023) · Materials Today Bio · doi:10.1016/j.mtbio.2023.100724 · Cited by 32 · see citing works
“the decellularization of tissues and organs from mammals is also used as the ECM to support cells on microfluidic chips [131,144,145].”
MethodKalot, R., Mhanna, R., & Talhouk, R. (2022) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2022.108156 · Cited by 31 · see citing works
Selection of natural biomaterials for micro‐tissue and organ‐on‐chip models
Çeçen, B., Bal‐Öztürk, A., Yaşayan, G., Alarçın, E., Koçak, P., Tutar, R., Kozacı, L. D., Shin, S. R., & Miri, A. K. (2022) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.37353 · Cited by 32 · see citing works
Living Anisotropic Structural Color Hydrogels for Cardiotoxicity Screening
Xu, D., Wang, Y., Sun, L., Luo, Z., Luo, Y., Wang, Y., & Zhao, Y. (2023) · ACS Nano · doi:10.1021/acsnano.3c04817 · Cited by 30 · see citing works
Self-citationExtracellular matrix regulation of cell spheroid invasion in a 3D bioprinted solid tumor-on-a-chip
Dogan, E., Galifi, C. A., Çeçen, B., Shukla, R., Wood, T. L., & Miri, A. K. (2024) · Acta Biomaterialia · doi:10.1016/j.actbio.2024.07.040 · Cited by 33 · see citing works
Wu, G., Wu, D., Lo, J., Wang, Y., Wu, J., Lu, S., Xu, H., Zhao, X., He, Y., Li, J., et al. (2020) · Biomaterials Science · doi:10.1039/c9bm01879d · Cited by 28 · see citing works
Self-citationSukei, T., Palma, E., & Urbani, L. (2021) · Cancers · doi:10.3390/cancers13215586 · Cited by 29 · see citing works
Preclinical Models of Hepatocellular Carcinoma: Current Utility, Limitations, and Challenges
Cigliano, A., Liao, W., Deiana, G. A., Rizzo, D., Chen, X., & Calvisi, D. F. (2024) · Biomedicines · doi:10.3390/biomedicines12071624 · Cited by 30 · see citing works
“Recently, Lu et al. [55] developed a liver-on-chip better reflecting the tumor microenvironment.”
BackgroundQuercetin and hydroxytyrosol as modulators of hepatic steatosis: A NAFLD‐on‐a‐chip study
Gori, M., Giannitelli, S. M., Zancla, A., Mozetic, P., Trombetta, M., Merendino, N., & Rainer, A. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27557 · Cited by 30 · see citing works
Esmaeili, J., Barati, A., Ai, J., Nooshabadi, V. T., & Mirzaei, Z. (2021) · RSC Advances · doi:10.1039/d1ra00855b · Cited by 27 · see citing works
Hydrogel-Based Strategies for Liver Tissue Engineering
Zhang, Y., Li, L., Dong, L., Cheng, Y., Huang, X., Xue, B., Jiang, C., Cao, Y., & Yang, J. (2024) · Chem & Bio Engineering · doi:10.1021/cbe.4c00079 · Cited by 31 · see citing works
Cholangiocarcinoma-on-a-chip: A human 3D platform for personalised medicine
Polidoro, M. A., Ferrari, E., Soldani, C., Franceschini, B., Saladino, G., Rosina, A., Mainardi, A., D’Autilia, F., Pugliese, N., Costa, G., et al. (2023) · JHEP Reports · doi:10.1016/j.jhepr.2023.100910 · Cited by 27 · see citing works
“13,34 The CCA-on-chip herein described aims to reconstruct the CCA niche with a co-culture of patient-derived tumour cells and CAFs, embedded in a stiff microenvironment that (i) provides cells with mechanical stimuli similar to those perceived in their in vivo milieu, (ii) allows their 3D spatial…”
BackgroundPolymeric Based Hydrogel Membranes for Biomedical Applications
Trombino, S., Sole, R., Curcio, F., & Cassano, R. (2023) · Membranes · doi:10.3390/membranes13060576 · Cited by 26 · see citing works
“In recent years, decellularized ECM-based hydrogel materials have attracted attention for their excellent biocompatibility [41,42].”
BackgroundCancer-on-chip: a breakthrough organ-on-a-chip technology in cancer cell modeling
Nejati, B., Shahhosseini, R., Hajiabbasi, M., Ardabili, N. S., Baktash, K. B., Alivirdiloo, V., Moradi, S., Rad, M. F., Rahimi, F., Farani, M. R., et al. (2024) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-024-03199-5 · Cited by 25 · see citing works
“The results showed an improved ability to maintain cell viability and enhance hepatocyte function in contrast to GelMA [62].”
Pulmonary tissue-mimetic hydrogel niches for small cell lung cancer cell culture
Jung, M., Han, Y., Woo, C., & Ki, C. S. (2021) · Journal of Materials Chemistry B · doi:10.1039/d0tb02609c · Cited by 23 · see citing works
Applications of 3D Bio-Printing in Tissue Engineering and Biomedicine
Jiang, W., Mei, H., & Zhao, S. (2021) · Journal of Biomedical Nanotechnology · doi:10.1166/jbn.2021.3078 · Cited by 23 · see citing works
Use and application of organ-on-a-chip platforms in cancer research
Yu, Y., Zhou, T., & Cao, L.-L. (2023) · Journal of Cell Communication and Signaling · doi:10.1007/s12079-023-00790-7 · Cited by 25 · see citing works
Emerging microfluidic gut-on-a-chip systems for drug development
Wang, X., Yuzhuo, Z., Cheng, Z., Zhang, C., Liao, Y., Liu, B., Zhang, D., Li, Z., & Fang, Y. (2024) · Acta Biomaterialia · doi:10.1016/j.actbio.2024.09.012 · Cited by 22 · see citing works
WNT–β-catenin signalling in hepatocellular carcinoma: from bench to clinical trials
Lehrich, B. M., & Monga, S. P. (2025) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-025-01127-y · Cited by 22 · see citing works
“Integrating 3D liver tumour organoids with stromal elements through either co-culture or liver-on-chip 99 systems may better recapitulate the in vivo architecture.”
A Tissue Engineering Approach to Metastatic Colon Cancer
Sarvestani, S. K., DeHaan, R. K., Miller, P. G., Bose, S., Shen, X., Shuler, M. L., & Huang, E. H. (2020) · iScience · doi:10.1016/j.isci.2020.101719 · Cited by 20 · see citing works
Evolution of Metastasis Study Models toward Metastasis‐On‐A‐Chip: The Ultimate Model?
Ruiz‐Espigares, J., Nieto, D., Moroni, L., Jiménez, G., & Marchal, J. A. (2021) · Small · doi:10.1002/smll.202006009 · Cited by 21 · see citing works
Recent advances in the development of in vitro liver models for hepatotoxicity testing
Lu, S., Zhang, J., Lin, S., Zheng, D., Shen, Y., Qin, J., Li, Y. Y., & Wang, S. (2021) · Bio-Design and Manufacturing · doi:10.1007/s42242-021-00142-7 · Cited by 21 · see citing works
Self-citationHepatocyte cultures: From collagen gel sandwiches to microfluidic devices with integrated biosensors
de Hoyos‐Vega, J. M., Hong, H. J., Stybayeva, G., & Revzin, A. (2021) · APL Bioengineering · doi:10.1063/5.0058798 · Cited by 20 · see citing works
GelMA hydrogel: A game-changer in 3D tumor modeling
Jiao, W., Shan, J., Gong, X., Sun, Y., Sang, L., Ding, X., Zhou, H., & Yu, M. (2024) · Materials Today Chemistry · doi:10.1016/j.mtchem.2024.102111 · Cited by 21 · see citing works
Construction of cancer-on-a-chip for drug screening
Liu, Y., Yang, Q., Zhang, H., Han, S., Liu, N., Ren, H. J., Guo, H., & Xu, F. (2021) · Drug Discovery Today · doi:10.1016/j.drudis.2021.03.006 · Cited by 22 · see citing works
Microphysiological systems for human aging research
Park, S., Laskow, T. C., Chen, J., Guha, P., Dawn, B., & Kim, D. (2024) · Aging Cell · doi:10.1111/acel.14070 · Cited by 20 · see citing works
“The targeted cancers include breast (Figure 3a; Kwak et al., 2014; Lanz et al., 2017), liver (Figure 3b; Lu et al., 2018), lung (Figure 3c; Hassell et al., 2017), colorectal (Figure 3d; Carvalho et al., 2019), brain (Fan et al., 2016; Liu et al., 2010; Xiao et al., 2019), and pancreatic cancer (Mao…”
BackgroundMicro/nanofluidic devices for drug delivery
Kashaninejad, N., Moradi, E., & Moghadas, H. (2022) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2021.07.018 · Cited by 19 · see citing works
“ophen and sorafenib were tested for dose-dependent drug toxicity, and linear dose-dependent hepatotoxicity was detected for both drugs in terms of HepG2 cells viability, urea secretion, and albumin production.(61)”
BackgroundMethodNieto, D., Jiménez, G., Moroni, L., López‐Ruiz, E., Gálvez‐Martín, P., & Marchal, J. A. (2022) · Medicinal Research Reviews · doi:10.1002/med.21914 · Cited by 18 · see citing works
“decellularized liver matrix was used together with GelMa in a microfluidic chip, where a better recapitulation of TME was produced thanks to the preservation of components and biochemical and biophysical signals, which resulted in a more accurate in vitro pharmacological response to the acetaminophen and sorafenib tre…”
BackgroundMethodDecellularized organ biomatrices facilitate quantifiable in vitro 3D cancer metastasis models
VandenHeuvel, S. N., Farris, H. A., Noltensmeyer, D. A., Roy, S., Donehoo, D. A., Kopetz, S., Haricharan, S., Walsh, A. J., & Raghavan, S. A. (2022) · Soft Matter · doi:10.1039/d1sm01796a · Cited by 19 · see citing works
Liu, J., Wu, G., Wu, D., Wu, L., Sun, C., Zhang, W., Du, Q., Lu, Q., Hu, W., Meng, H., et al. (2025) · Lab on a Chip · doi:10.1039/d4lc00902a · Cited by 18 · see citing works
Self-citationConstruction and application of liver cancer models in vitro
Shao, C., Zhang, Q., Kuang, G., Fan, Q., & Ye, F. (2022) · Engineered Regeneration · doi:10.1016/j.engreg.2022.07.004 · Cited by 18 · see citing works
3D Bioprinting for Tumor Metastasis Research
Lin, M., Tang, M., Duan, W., Xia, S., Liu, W., & Wang, Q. (2022) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.3c00239 · Cited by 19 · see citing works
Zhuang, T., Li, X., Deng, Q., Zhao, W., Lin, B., Luo, Y., & Zhang, X. (2020) · Materials Letters · doi:10.1016/j.matlet.2020.128034 · Cited by 18 · see citing works
Wu, D., Wu, J., Liu, H., Shi, S., Wang, L., Huang, Y., Yu, X., Lei, Z., Ouyang, T., Shen, J. Y., et al. (2023) · Lab on a Chip · doi:10.1039/d3lc00393k · Cited by 17 · see citing works
Self-citationInvestigation of insulin resistance through a multiorgan microfluidic organ-on-chip
Tanataweethum, N., Trang, A., Lee, C., Mehta, J., Patel, N., Cohen, R., & Bhushan, A. (2021) · Biomedical Materials · doi:10.1088/1748-605x/ac4611 · Cited by 16 · see citing works
“Recently, there have been several attempts to develop adipose-on-chip [13, 32–34] and liver-on-chip [10, 35, 36] to replicate organ-level function using microengineered approaches, such as microphysiological systems [37] and microchannel array systems [10, 13].”
Vascular microphysiological systems (MPS): biologically relevant and potent models
Breuil, L., Kitada, A., Yadav, S., Zhou, H., Fujimoto, K., & Yokokawa, R. (2025) · Lab on a Chip · doi:10.1039/d5lc00014a · Cited by 15 · see citing works
Ngo, H. T., Amartumur, S., Tran, V. T. A., Tran, M., Diep, Y. N., Cho, H., & Lee, L. P. (2023) · Biosensors · doi:10.3390/bios13020231 · Cited by 15 · see citing works
Hydrogel-integrated Microfluidic Systems for Advanced Stem Cell Engineering
An, S., Han, S. Y., & Cho, S. (2019) · BioChip Journal · doi:10.1007/s13206-019-3402-5 · Cited by 14 · see citing works
Serna-Márquez, N., Rodríguez-Hernández, A., Ayala-Reyes, M., Martínez-Hernández, L. O., Peña-Rico, M. Á., Carretero-Ortega, J., Hautefeuille, M., & Vázquez-Victorio, G. (2020) · Biomimetics · doi:10.3390/biomimetics5020030 · Cited by 15 · see citing works
“In addition to collagen/BM combinations, we also conjugated ECM extracted from decellularized livers to PAA HGs [57,58,67].”
BackgroundMethodAdvances in 3D Vascularized Tumor-on-a-Chip Technology
Jung, S., Jo, H., Hyung, S., & Jeon, N. L. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-04039-9_9 · Cited by 13 · see citing works
Liu, T., Ge, Y., Chen, Z., Wu, L., Tian, T., Yao, W., & Zhao, J. (2023) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.3c00213 · Cited by 13 · see citing works
Zhu, L., Cheng, C., Liu, S., Yang, L., Han, P., Cui, T., & Zhang, Y. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1343177 · Cited by 14 · see citing works
Baka, Z., Stiefel, M., Figarol, A., Godier, C., Mallick, A., Joubert, O., Ashammakhi, N. A., Gaffet, É., & Alem, H. (2022) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ac8259 · Cited by 13 · see citing works
“While few primary liver tumor-on-chip models have been reported [125, 126], microfluidic technology has been widely exploited in the study of metastatic phenomena involving the liver [55, 127–129].”
Frieboes, H. B., Raghavan, S. A., & Godin, B. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.01011 · Cited by 13 · see citing works
“Factors that contribute to the EPR effect include: enhanced vascular permeability and angiogenesis, which sustain rapid growth of tumor on one side, and impaired lymphatic drainage, on the other side (Maeda et al., 2003; Nakamura et al., 2015).”
BackgroundWu, G., Wu, D., Hu, W., Lu, Q., Zhou, Y., Liu, J., Du, Q., Luo, Z., Hu, H., Jiang, H., et al. (2025) · Lab on a Chip · doi:10.1039/d5lc00030k · Cited by 12 · see citing works
Self-citationWang, J., Qin, X., Kong, B., & Ren, H. (2022) · Smart Medicine · doi:10.1002/smmd.20220002 · Cited by 12 · see citing works
Recent advances in nano-based drug delivery systems for treatment of liver cancer
Hefnawy, A., Abdelhamid, A. S., Abdelaziz, M. M., et al. (2024) · Journal of Pharmaceutical Sciences · doi:10.1016/j.xphs.2024.08.012 · Cited by 11 · see citing works
Matrisome provides a supportive microenvironment for oral squamous cell carcinoma progression
He, Y., Deng, P., Yan, Y., Zhu, L., Chen, H., Li, T., Li, Y., & Li, J. (2021) · Journal of Proteomics · doi:10.1016/j.jprot.2021.104454 · Cited by 11 · see citing works
Self-citationPatient-Derived In Vitro and In Vivo Models of Cancer
Claridge, S. E., Cavallo, J., & Hopkins, B. D. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-91836-1_12 · Cited by 10 · see citing works
Constructing a Biomaterial to Simulate Extracellular Drug Transport in Solid Tumors.
Huayamares, S. G., Song, J. Y., Huang, A., Crowl, S. R., Groer, C. E., Forrest, M., & Berkland, C. (2020) · Macromolecular Bioscience · doi:10.1002/mabi.202000251 · Cited by 9 · see citing works
Miniaturization devices: A nanotechnological approach
Thakur, N., Das, T. R., Patra, S., Choudhary, M., & Shukla, S. K. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823148-7.00009-x · Cited by 11 · see citing works
Chou, X., Cheng, K., Yin, W., Cheng, T., Chen, R. L. C., Hsu, S., & Hou, Y. (2024) · Macromolecular Bioscience · doi:10.1002/mabi.202300411 · Cited by 9 · see citing works
DLM–GelMA/tumor slice sandwich structured tumor on a chip for drug efficacy testing
Hu, W., Bei, H., Jiang, H., Wu, D., Yu, X., Zhou, X., Sun, Q., Lu, Q., Du, Q., Wang, L., et al. (2024) · Lab on a Chip · doi:10.1039/d4lc00278d · Cited by 8 · see citing works
Self-citationEsophageal organoids: applications and future prospects
Liu, H., & Wang, X. (2023) · Journal of Molecular Medicine · doi:10.1007/s00109-023-02340-5 · Cited by 9 · see citing works
- Authors
- Lu, S., Cuzzucoli, F., Jiang, J., Liang, L.-G., Wang, Y., Kong, M., Zhao, X., Cui, W., Li, J., & Wang, S.
- Affiliations
- First Affiliated Hospital Zhejiang University (CN)
- University of Waterloo (CA)
- Hong Kong Polytechnic University (HK)
- Shanghai Jiao Tong University (CN)
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases
- Corresponding author
- Wang, ShuQi
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 18
- Issue
- 22
- Pages
- 3379-3392
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2891717954
- Semantic Scholar
- 81300e81a6ce8953fc5e344a94f5fca6253fc9d6
- Cited by
- 144
- References
- 35
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 29 · 2023: 16 · 2022: 32 · 2021: 23 · 2020: 16 · 2019: 8
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Lab on a Chip (publishedVersion)
- PubMed (publishedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
- Funders
- Ministry of Science and Technology of the People's Republic of China (2018ZX10732401-003-007, 2016YFC1101302)
- National Natural Science Foundation of China (61827806, 31871016)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Health Sciences › Medicine › Surgery › Tissue Engineering and Regenerative Medicine
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Hydrogels: synthesis, properties, applications
- Keywords
- gelatin methacryloyl, tumor microenvironment, hepatocyte viability, drug toxicity testing, acetaminophen toxicity, scaffold stiffness, shear stress, anticancer drug screening
- MeSH terms
- Animals, Cell Survival, Drug Screening Assays, Antitumor, Extracellular Matrix, Humans, Liver Neoplasms, Rats, Sprague-Dawley, Hydrogels, Biomimetics, Rats, Lab-On-A-Chip Devices, Hep G2 Cells
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review