The DOI matches its Crossref record; 136 of the 136 references it cites were found in a registry or an index.
Tumor-stromal crosstalk in pancreatic cancer and tissue fibrosis
Open accessAbstract
Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease with high morbidity and mortality worldwide. To date, limited therapeutic achievements targeting cell proliferation and related mechanisms has led researchers to focus on the microenvironment where pancreatic cancers develop. The anomalous proliferation of stromal cells, such as pancreatic stellate cells, and an increased deposition of altered matrix proteins create an environment that facilitates tumor growth, metastasis and drug resistance. Here, we summarize our understanding of recent advances in research about the role of fibrosis in pancreatic cancer progression, with particular emphasize on the involvement of fibrotic machineries such as wound healing, extra cellular matrix degradation, and epithelial-to-mesenchymal transition. The precise influence of these mechanisms on the biological behaviors and growth of cancer cells has great impact on clinical therapy and therefore deserves more attention. We also discuss the role of various stromal components in conferring drug resistance to PDAC which further worsening the pessimistic disease prognosis. A more in depth understanding of cancer-stroma crosstalk within the tumor microenvironment and stroma based clinical and translational therapies may provide new therapeutic strategies for the prevention of pancreatic cancer progression.
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2 retracted
Chen, S., Chen, X., Shan, T., Ma, J., Lin, W., Li, W., & Kang, Y. (2018) · International Journal of Biological Sciences · doi:10.7150/ijbs.22555 · Cited by 62
RetractedChen, S., Chen, X., Li, W., Shan, T., Lin, W. R., Ma, J., Cui, X., Yang, W., Cao, G., Li, Y., et al. (2018) · Oncology Letters · doi:10.3892/ol.2018.8219 · Cited by 26
RetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
The basics of epithelial-mesenchymal transition
Kalluri, R., & Weinberg, R. A. (2009) · Journal of Clinical Investigation · doi:10.1172/jci39104 · Cited by 10,196
Tumor angiogenesis: therapeutic implications
Sherwood, L. M., Parris, E. E., & Folkman, J. (1971) · New England Journal of Medicine · doi:10.1056/nejm197111182852108 · Cited by 10,187
Epithelial-Mesenchymal Transitions in Development and Disease
Thiery, J. P., Acloque, H., Huang, R. Y. J., & Nieto, M. A. (2009) · Cell · doi:10.1016/j.cell.2009.11.007 · Cited by 9,931
Microenvironmental regulation of tumor progression and metastasis
Quail, D. F., & Joyce, J. A. (2013) · Nature Medicine · doi:10.1038/nm.3394 · Cited by 7,994
Inflammation and cancer: back to Virchow?
Balkwill, F., & Mantovani, A. (2001) · The Lancet · doi:10.1016/s0140-6736(00)04046-0 · Cited by 7,746
Spencer, P. M., Cameron, J. L., & Lin, L. (2000) · Cited by 7,202
Rahib, L., Smith, B. D., Aizenberg, R., Rosenzweig, A. B., Fleshman, J. M., & Matrisian, L. M. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-0155 · Cited by 7,094
Cited by
Stiff matrix induces exosome secretion to promote tumour growth
Wu, B., Liu, D.-A., Guan, L., Myint, P. K., Chin, L., Dang, H., Xu, Y., Ren, J., Li, T., Yu, Z., et al. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01092-1 · Cited by 240
Patient-derived pancreatic cancer-on-a-chip recapitulates the tumor microenvironment
Haque, M. R., Wessel, C. R., Leary, D. D., Wang, C., Bhushan, A., & Bishehsari, F. (2022) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00370-6 · Cited by 137
Lander, V. E., Belle, J. I., Kingston, N. L., Herndon, J. M., Hogg, G. D., Liu, X., Kang, L.-I., Knolhoff, B. L., Bogner, S. J., Baer, J. M., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0192 · Cited by 114
Choi, Y.-M., Lee, H., Ann, M., Song, M., Rheey, J., & Jang, J. (2023) · Biofabrication · doi:10.1088/1758-5090/acd95f · Cited by 94
Ruggeri, J. M., Franco-Barraza, J., Sohail, A., Zhang, Y., Long, D., Pasca di Magliano, M., Cukierman, E., Fridman, R., & Crawford, H. C. (2020) · The American Journal of Pathology · doi:10.1016/j.ajpath.2020.03.020 · Cited by 40
Metadata
- Authors
- Thomas, D., & Radhakrishnan, P.
- Venue
- Molecular Cancer
- Published
- 2019-01-21
- Volume
- 18
- Issue
- 1
- Pages
- 14-14
- ISSN
- 1476-4598 (ISSN-L)
- OpenAlex
- W2920686366
- Cited by
- 396
- References
- 136
- FWCI
- 19.13
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
