The DOI matches its Crossref record; 397 of the 397 references it cites were found in a registry or an index.
Signaling pathways in cancer‐associated fibroblasts: recent advances and future perspectives
Open accessAbstract
As a critical component of the tumor microenvironment (TME), cancer‐associated fibroblasts (CAFs) play important roles in cancer initiation and progression. Well‐known signaling pathways, including the transforming growth factor‐β (TGF‐β), Hedgehog (Hh), Notch, Wnt, Hippo, nuclear factor kappa‐B (NF‐κB), Janus kinase (JAK)/signal transducer and activator of transcription (STAT), mitogen‐activated protein kinase (MAPK), and phosphoinositide 3‐kinase (PI3K)/AKT pathways, as well as transcription factors, including hypoxia‐inducible factor (HIF), heat shock transcription factor 1 (HSF1), P53, Snail, and Twist, constitute complex regulatory networks in the TME to modulate the formation, activation, heterogeneity, metabolic characteristics and malignant phenotype of CAFs. Activated CAFs remodel the TME and influence the malignant biological processes of cancer cells by altering the transcriptional and secretory characteristics, and this modulation partially depends on the regulation of signaling cascades. The results of preclinical and clinical trials indicated that therapies targeting signaling pathways in CAFs demonstrated promising efficacy but were also accompanied by some failures (e.g., NCT01130142 and NCT01064622). Hence, a comprehensive understanding of the signaling cascades in CAFs might help us better understand the roles of CAFs and the TME in cancer progression and may facilitate the development of more efficient and safer stroma‐targeted cancer therapies. Here, we review recent advances in studies of signaling pathways in CAFs and briefly discuss some future perspectives on CAF research.
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4 retracted
Dou, D., Ren, X., Han, M., Xu, X., Ge, X., Gu, Y., & Wang, X. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.02026 · Cited by 175
RetractedYang, F., Yan, Y., Yang, Y., Hong, X., Wang, M., Yang, Z., Liu, B., & Ye, L. (2020) · Cellular Signalling · doi:10.1016/j.cellsig.2020.109675 · Cited by 110
RetractedWang, S., Englund, E., Kjellman, P., Li, Z., Ahnlide, J. K., Rodriguez-Cupello, C., Saggioro, M., Kanzaki, R., Pietras, K., Lindgren, D., et al. (2021) · Nature Cell Biology · doi:10.1038/s41556-021-00702-0 · Cited by 66
RetractedCui, Y., Wang, D., & Xie, M. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.652322 · Cited by 44
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
Phosphorylation and regulation of Akt/PKB by the rictor-mTOR complex
Sarbassov, D. D., Guertin, D. A., Ali, S. M., & Sabatini, D. M. (2005) · Science · doi:10.1126/science.1106148 · Cited by 6,216
NF-κB AND REL PROTEINS: Evolutionarily Conserved Mediators of Immune Responses
Ghosh, S., May, M. J., & Kopp, E. B. (1998) · Annual Review of Immunology · doi:10.1146/annurev.immunol.16.1.225 · Cited by 5,182
Accessories to the Crime: Functions of Cells Recruited to the Tumor Microenvironment
Hanahan, D., & Coussens, L. M. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.022 · Cited by 4,632 · cited 1×
“Cancer cells can undergo independent and uncontrolled proliferation by deregulating growth-promoting signaling, which is mediated by signaling cascades, for which CAFs are pivotal sources of upstream signals [12, 13].”
BackgroundKalluri, R., & Zeisberg, M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1877 · Cited by 4,538
Tumors: Wounds That Do Not Heal
Flier, J. S., Underhill, L. H., & Dvorak, H. F. (1986) · New England Journal of Medicine · doi:10.1056/nejm198612253152606 · Cited by 4,391 · cited 1×
“The initiation and progression of cancer are known to inflict irreversible injuries to the body, during which fibroblasts are activated to influence tumor inflammation, fibrosis and numerous biological behaviors during cancer progression [7, 12, 16].”
Background
Cited by
Unveiling the mechanisms and challenges of cancer drug resistance
Khan, S. U., Fatima, K., Aisha, S., & Malik, F. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-023-01302-1 · Cited by 417
Nanoparticles in tumor microenvironment remodeling and cancer immunotherapy
Lu, Q., Kou, D., Lou, S., Ashrafizadeh, M., Aref, A. R., Canadas, I., Tian, Y., Niu, X., Wang, Y., Torabian, P., et al. (2024) · Journal of Hematology & Oncology · doi:10.1186/s13045-024-01535-8 · Cited by 373
Shah, S., & D’Souza, G. G. M. (2025) · Cells · doi:10.3390/cells14100732 · Cited by 83
“Thus, the fibroblast–tumor cell interaction is not only context-dependent but also bidirectionally shaped by the evolving molecular and functional landscape of the tumor itself [33,34].”
Metadata
- Authors
- Fang, Z., Meng, Q., Xu, J., Wang, W., Zhang, B., Liu, J., Liang, C., Hua, J., Zhao, Y., Yu, X., & Shi, S.
- Venue
- Cancer Communications
- Published
- 2022-11-24
- Volume
- 43
- Issue
- 1
- Pages
- 3-41
- ISSN
- 1000-467X (ISSN-L)
- 2523-3548
- OpenAlex
- W4310079132
- Cited by
- 280
- References
- 397
- FWCI
- 14.22
- Type
- journal article
- Language
- en
- Open access
- gold
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- Fang, Z., Meng, Q., Xu, J., Wang, W., Zhang, B., Liu, J., Liang, C., Hua, J., Zhao, Y., Yu, X., & Shi, S. (2023). Signaling pathways in cancer‐associated fibroblasts: recent advances and future perspectives. Cancer Communications. https://doi.org/10.1002/cac2.12392
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