A multidisciplinary study using in vivo tumor models and microfluidic cell-on-chip approach to explore the cross-talk between cancer and immune cells
Open accessAbstract
A full elucidation of events occurring inside the cancer microenvironment is fundamental for the optimization of more effective therapies. In the present study, the cross-talk between cancer and immune cells was examined by employing mice deficient (KO) in interferon regulatory factor (IRF)-8, a transcription factor essential for induction of competent immune responses. The in vivo results showed that IRF-8 KO mice were highly permissive to B16.F10 melanoma growth and metastasis due to failure of their immune cells to exert proper immunosurveillance. These events were found to be dependent on soluble factors released by cells of the immune system capable of shaping the malignant phenotype of melanoma cells. An on-chip model was then generated to further explore the reciprocal interactions between the B16.F10 and immune cells. B16.F10 and immune cells were co-cultured in a microfluidic device composed of three culturing chambers suitably inter-connected by an array of microchannels; mutual interactions were then followed using time-lapse microscopy. It was observed that WT immune cells migrated through the microchannels towards the B16.F10 cells, establishing tight interactions that in turn limited tumor spread. In contrast, IRF-8 KO immune cells poorly interacted with the melanoma cells, resulting in a more invasive behavior of the B16.F10 cells. These results suggest that IRF-8 expression plays a key role in the cross-talk between melanoma and immune cells, and under-score the value of cell-on-chip approaches as useful in vitro tools to reconstruct complex in vivo microenvironments on a microscale level to explore cell interactions such as those occurring within a cancer immunoenvironment.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Immune-deficient IRF-8 knockout mice develop more tumors with less immune cell infiltration than wild-type animals.
“These studies first showed that immune-deficient interferon regulatory factor-8 (IRF-8) knockout mice develop more tumors with less immune cell infiltration than wild type animals[50], and subsequently used a microfluidic assay to investigate the underlying mechanism in greater detail.”
From Microfluidics: A New Tool for Modeling Cancer–Immune Interactions (2016) · cites this paper as [50]
The melanoma-growth section reports faster tumor growth and more lung metastatic foci in IRF-8 knockout mice, but does not establish that they developed more primary tumors. The immune-cell infiltration section reports fewer infiltrating T cells and dendritic cells in knockout tumors, while myeloid-derived suppressor cell infiltration was higher; the unqualified claim of less immune-cell infiltration misses that exception. (LLM, conf=0.85)
Experimental — accuracy not yet measuredImmune spleen cells lacking IRF-8 do not migrate toward cancer cells or interact with them as efficiently as wild-type immune cells.
“Specifically, they showed that immune spleen cells lacking IRF-8 do not migrate towards cancer cells, nor interact with them as efficiently as wild type immune cells[48–50], suggesting a mechanism to explain why IRF-8 knock-out cells fail to exert proper immune-surveillance leading to a heavier metastatic burden.”
From Microfluidics: A New Tool for Modeling Cancer–Immune Interactions (2016) · cites this paper as [50]
Only a limited number of recent studies have employed microfluidics to investigate immune-cancer cell interactions.
“To the best of our knowledge, only a limited number of recent studies have employed microfluidics to investigate immune-cancer cell interactions[18, 48–52], possibly because microfluidic models are not yet widely available to cancer researchers.”
From Microfluidics: A New Tool for Modeling Cancer–Immune Interactions (2016) · cites this paper as [50]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590 · see citing works
The immune contexture in human tumours: impact on clinical outcome
Fridman, W. H., Pagès, F., Sautès-Fridman, C., & Galon, J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3245 · Cited by 4,981 · see citing works
Coordinated regulation of myeloid cells by tumours
Gabrilovich, D. I., Ostrand-Rosenberg, S., & Bronte, V. (2012) · Nature Reviews Immunology · doi:10.1038/nri3175 · Cited by 3,544 · see citing works
Immune infiltration in human tumors: a prognostic factor that should not be ignored
Pagès, F., Galon, J., Dieu‐Nosjean, M., Tartour, É., Sautès‐Fridman, C., & Fridman, W. H. (2009) · Oncogene · doi:10.1038/onc.2009.416 · Cited by 1,082 · see citing works
Holtschke, T., Löhler, J., Kanno, Y., Fehr, T., Giese, N., Rosenbauer, F., Lou, J., Knobeloch, K.-P., Gabriele, L., Waring, J. F., et al. (1996) · Cell · doi:10.1016/s0092-8674(00)81348-3 · Cited by 644 · see citing works
Self-citationThe Adaptive Immunologic Microenvironment in Colorectal Cancer: A Novel Perspective
Galon, J., Fridman, W. H., & Pagès, F. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-4806 · Cited by 447 · see citing works
Schiavoni, G., Mattei, F., Sestili, P., Borghi, P., Venditti, M., Morse, H. C., Belardelli, F., & Gabriele, L. (2002) · The Journal of Experimental Medicine · doi:10.1084/jem.20021263 · Cited by 423 · see citing works
Self-citationMyeloid-derived suppressor cell development is regulated by a STAT/IRF-8 axis
Waight, J. D., Netherby, C. S., Hensen, M. L., Miller, A., Hu, Q., Liu, S., Bogner, P. N., Farren, M. R., Lee, K. P., Liu, K., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci68189 · Cited by 322 · see citing works
Essential role for ICSBP in the in vivo development of murine CD8α+ dendritic cells
Aliberti, J., Schulz, O., Pennington, D. J., Tsujimura, H., Sousa, C. R. E., Ozato, K., & Sher, A. (2002) · Blood · doi:10.1182/blood-2002-04-1088 · Cited by 314 · see citing works
Tumor microenvironment and progression
Dvorak, H. F., Weaver, V. M., Tlsty, T. D., & Bergers, G. (2011) · Journal of Surgical Oncology · doi:10.1002/jso.21709 · Cited by 186 · see citing works
Review: ICSBP/IRF-8: Its Regulatory Roles in the Development of Myeloid Cells
Tamura, T., & Ozato, K. (2002) · Journal of Interferon & Cytokine Research · doi:10.1089/107999002753452755 · Cited by 183 · see citing works
Antiangiogenic and Antitumor Activities of IL-27
Shimizu, M., Shimamura, M., Owaki, T., et al. (2006) · The Journal of Immunology · doi:10.4049/jimmunol.176.12.7317 · Cited by 177 · see citing works
Shurin, M. R., Shurin, G. V., Lokshin, A. E., Yurkovetsky, Z. R., Gutkin, D. W., Chatta, G. S., Zhong, H., Han, B., & Ferris, R. L. (2006) · Cancer and Metastasis Reviews · doi:10.1007/s10555-006-9010-6 · Cited by 162 · see citing works
Cross talk between cancer and immune cells: exploring complex dynamics in a microfluidic environment
Businaro, L., De Ninno, A., Schiavoni, G., Lucarini, V., Ciasca, G., Gerardino, A., Belardelli, F., Gabriele, L., & Mattei, F. (2013) · Lab Chip · doi:10.1039/c2lc40887b · Cited by 162 · see citing works
Self-citationThe Tumor Microenvironment: A Pitch for Multiple Players
Schiavoni, G., Gabriele, L., & Mattei, F. (2013) · Frontiers in Oncology · doi:10.3389/fonc.2013.00090 · Cited by 147 · see citing works
Self-citationDanilin, S., Merkel, A. R., Johnson, J., Johnson, R. W., Edwards, J., & Sterling, J. A. R. (2012) · OncoImmunology · doi:10.4161/onci.21990 · Cited by 140 · see citing works
Regulation of Apoptosis in Myeloid Cells by Interferon Consensus Sequence–Binding Protein
Gabriele, L., Phung, J., Fukumoto, J., Segal, D., Wang, I.-M., Giannakakou, P., Giese, N. A., Ozato, K., & Morse, H. C. (1999) · The Journal of Experimental Medicine · doi:10.1084/jem.190.3.411 · Cited by 114 · see citing works
Self-citationICSBP/IRF-8 retrovirus transduction rescues dendritic cell development in vitro
Tsujimura, H., Tamura, T., Gongora, C., Aliberti, J., Sousa, C. R. E., Sher, A., & Ozato, K. (2003) · Blood · doi:10.1182/blood-2002-05-1327 · Cited by 113 · see citing works
Schiavoni, G., Mattei, F., Borghi, P., Sestili, P., Venditti, M., Morse, H. C., Belardelli, F., & Gabriele, L. (2003) · Blood · doi:10.1182/blood-2003-09-3007 · Cited by 107 · see citing works
Self-citationThe role of the interferon regulatory factor (IRF) family in dendritic cell development and function
Gabriele, L., & Ozato, K. (2007) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2007.06.008 · Cited by 81 · see citing works
Self-citationMattei, F., Schiavoni, G., Sestili, P., Spadaro, F., Fragale, A., Sistigu, A., Lucarini, V., Spada, M., Sanchez, M., Scala, S., et al. (2012) · Neoplasia · doi:10.1593/neo.121444 · Cited by 57 · see citing works
Self-citationBiomimetic tumor microenvironment on a microfluidic platform
Ma, H., Xu, H. M., & Qin, J. (2013) · Biomicrofluidics · doi:10.1063/1.4774070 · Cited by 46 · see citing works
Mattei, F., Schiavoni, G., Borghi, P., Venditti, M., Canini, I., Sestili, P., Pietraforte, I., Morse, H. C., Ramoni, C., Belardelli, F., et al. (2006) · Blood · doi:10.1182/blood-2005-11-4490 · Cited by 28 · see citing works
Self-citationA multi-functional role of interferon regulatory factor-8 in solid tumor and myeloid cell biology
Abrams, S. I. (2009) · Immunologic Research · doi:10.1007/s12026-009-8125-6 · Cited by 17 · see citing works
Rocca, S., Schiavoni, G., Sali, M., Anfossi, A. G., Abalsamo, L., Palucci, I., Mattei, F., Sanchez, M., Giagu, A., Antuofermo, E., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062751 · Cited by 7 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Recent advances in microfluidic technologies for cell-to-cell interaction studies
Rothbauer, M., Zirath, H., & Ertl, P. (2018) · Lab on a Chip · doi:10.1039/c7lc00815e · Cited by 277 · see citing works
Microfluidics: A New Tool for Modeling Cancer–Immune Interactions
Boussommier-Calleja, A., Li, R., Chen, M. B., Wong, S. C., & Kamm, R. D. (2016) · Trends in Cancer · doi:10.1016/j.trecan.2015.12.003 · Cited by 224 · see citing works
“more tumors with less immune cell infiltration than wild type animals[50], and subsequently used a microfluidic assay to investigate the underlying mechanism in greater detail.”
MethodOrgan-on-chip models of cancer metastasis for future personalized medicine: From chip to the patient
Caballero, D., Kaushik, S., Correlo, V. M., Oliveira, J. M., Reis, R. L., & Kundu, S. C. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.10.005 · Cited by 221 · see citing works
Unger, C., Kramer, N., Walzl, A., Scherzer, M., Hengstschläger, M., & Dolznig, H. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.10.015 · Cited by 158 · see citing works
Wang, X., Sun, Q., & Pei, J. (2018) · Micromachines · doi:10.3390/mi9100493 · Cited by 106 · see citing works
Engineering approaches for studying immune-tumor cell interactions and immunotherapy
Shelton, S. E., Nguyen, H. T., Barbie, D. A., & Kamm, R. D. (2021) · iScience · doi:10.1016/j.isci.2020.101985 · Cited by 93 · see citing works
Cancer-driven dynamics of immune cells in a microfluidic environment
Agliari, E., Biselli, E., De Ninno, A., Schiavoni, G., Gabriele, L., Gerardino, A., Mattei, F., Barra, A., & Businaro, L. (2014) · Scientific Reports · doi:10.1038/srep06639 · Cited by 91 · see citing works
Self-citationOrgans on chip approach: a tool to evaluate cancer -immune cells interactions
Biselli, E., Agliari, E., Barra, A., Bertani, F. R., Gerardino, A., De Ninno, A., Mencattini, A., Di Giuseppe, D., Mattei, F., Schiavoni, G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13070-3 · Cited by 91 · see citing works
Self-citationRodenhizer, D., Dean, T., D'Arcangelo, E., & McGuigan, A. P. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701174 · Cited by 80 · see citing works
Immune Organs and Immune Cells on a Chip: An Overview of Biomedical Applications
Morsink, M., Willemen, N., Leijten, J., Bansal, R., & Shin, S. (2020) · Micromachines · doi:10.3390/mi11090849 · Cited by 73 · see citing works
Progress in melanoma modelling in vitro
Marconi, A., Quadri, M., Saltari, A., & Pincelli, C. (2018) · Experimental Dermatology · doi:10.1111/exd.13670 · Cited by 51 · see citing works
- Authors
- Mattei, F., Schiavoni, G., De Ninno, A., Lucarini, V., Sestili, P., Sistigu, A., Fragale, A., Sanchez, M., Spada, M., Gerardino, A., Belardelli, F., Businaro, L., & Gabriele, L.
- Affiliations
- Istituto Superiore di Sanità (IT)
- National Research Council (IT)
- Corresponding author
- Mattei, Fabrizio
- ORCID
- Venue
- Journal of Immunotoxicology
- Publisher
- Informa UK Limited
- Published
- 2014-03-06
- Volume
- 11
- Issue
- 4
- Pages
- 337-346
- ISSN
- 1547-6901 (ISSN-L)
- 1547-691X
- OpenAlex
- W2087204483
- Cited by
- 57
- References
- 25
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 1 · 2023: 3 · 2022: 6 · 2021: 4 · 2020: 7 · 2019: 4 · 2018: 7 · 2017: 5 · 2016: 8 · 2015: 2 · 2014: 3
- FWCI
- 2.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Immunotoxicology (publishedVersion)
- PubMed (publishedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, other-oa)
- Funders
- Associazione Italiana per la Ricerca sul Cancro
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- IRF8, B16F10 melanoma, melanoma metastasis, tumor microenvironment, immune surveillance, microfluidic co-culture, leukocyte migration, tumor invasion, tumor surveillance
- MeSH terms
- Interferon Regulatory Factor-8, Animals, Cell Communication, Cell Movement, Humans, Immunologic Surveillance, Mice, Inbred C57BL, Neoplasm Metastasis, Neoplasms, Experimental, CD4-Positive T-Lymphocytes, Mice, Knockout, Microfluidic Analytical Techniques, Interferon Regulatory Factors, Mice, Tumor Microenvironment
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.
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