Cancer-Associated Fibroblasts in Esophageal Cancer
- PMID: 38246591
- PMCID: PMC10958110
- DOI: 10.1016/j.jcmgh.2024.01.008
Cancer-Associated Fibroblasts in Esophageal Cancer
Abstract
Cancer-associated fibroblasts (CAFs), a heterogenous population, can promote cancer cell proliferation, migration, invasion, immunosuppression, and therapeutic resistance in solid tumors. These effects are mediated through secretion of cytokines and growth factors, remodeling of the extracellular matrix, and providing metabolic support for cancer cells. The presence of CAFs in esophageal carcinoma are associated with reduced overall survival and increased resistance to chemotherapy and radiotherapy; thus, identifying therapeutic vulnerabilities of CAFs is a necessity. In esophageal cancer, the mechanisms for CAF recruitment, CAF-mediated promotion of tumorigenesis, metastatic dissemination, and therapeutic resistance have yet to be fully evaluated. Here, we provide an overview of the current understanding of CAFs in esophageal cancer, namely in esophageal squamous cell carcinoma and esophageal adenocarcinoma, as well as in the preneoplastic conditions that predispose to these cancers. Interestingly, there is a discrepancy in our knowledge of CAF biology between esophageal cancer subtypes, with very few studies in esophageal adenocarcinoma, and its precursor lesion Barrett's esophagus, compared with esophageal squamous cell carcinoma. We propose that although great strides have been made, certain questions remain to which answers hopefully will emerge to have an impact on biomarker diagnostics and translational therapeutics.
Keywords: Barrett’s Esophagus; Cancer-Associated Fibroblasts; Esophageal Cancer; Squamous Dysplasia; Tumor Stroma.
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.
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- Morgan E., Soerjomataram I., Rumgay H., et al. The global landscape of esophageal squamous cell carcinoma and esophageal adenocarcinoma incidence and mortality in 2020 and projections to 2040: new estimates from GLOBOCAN 2020. Gastroenterology. 2022;163:649–658.e2. - PubMed
-
- Micke P, Strell C, Mattsson J, et al. The prognostic impact of the tumour stroma fraction: a machine learning-based analysis in 16 human solid tumour types. eBioMedicine. Available at: https://www.thelancet.com/journals/ebiom/article/PIIS2352-3964(21)00062-.... Accessed Oct 10, 2023. - PMC - PubMed
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