ArticleFrontiers in oncology2023
Cancer-associated fibroblasts refine the classifications of gastric cancer with distinct prognosis and tumor microenvironment characteristics.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 9 citations in OpenAlex.
- Colorectal cancer and tumor vaccines (Review).Oncology letters · 2026Review
- Integrated Transcriptomic Analysis and Machine Learning Identify THY1 as a Key Regulator of Cancer-Associated Fibroblast Infiltration, Promoting Malignant Progression and Immune Escape in Gastric Cancer.Journal of gastroenterology and hepatology · 2026Article
- FOXQ1 activates GLT8D2 to enhance CCL2 N-glycosylation and promote prostate cancer bone metastasis.Cell death & disease · 2026Article
- Precision treatment of gastrointestinal tumours and liver disease interaction mechanisms based on multi-omics data and microbiome hubs.Frontiers in cellular and infection microbiology · 2026Review
- Immune modulation in gastric cancer: from macrophage polarization to immunotherapy.Frontiers in immunology · 2026Review
- Patient-Derived Gastric Cancer Assembloid Model Integrating Matched Tumor Organoids and Stromal Cell Subpopulations.Cancers · 2025Article
- Article
- Overcoming immunotherapy resistance in gastric cancer: insights into mechanisms and emerging strategies.Cell death & disease · 2025Review
- Research progress on mechanisms of tumor immune microenvironment and gastrointestinal resistance to immunotherapy: mini review.Frontiers in immunology · 2025Review
- [Screening of differentially expressed genes in gastric cancer based on GEO database and function and pathway enrichment analysis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Cancer-associated fibroblasts: protagonists of the tumor microenvironment in gastric cancer.Frontiers in molecular biosciences · 2024Review
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cancer-associated fibroblasts (CAFs) are essential tumoral components of gastric cancer (GC), contributing to the development, therapeutic resistance and immune-suppressive tumor microenvironment (TME) of GC. This study aimed to explore the factors related to matrix CAFs and establish a CAF model to evaluate the prognosis and therapeutic effect of GC. Methods: Sample information from the multiply public databases were retrieved. Weighted gene co-expression network analysis was used to identify CAF-related genes. EPIC algorithm was used to construct and verify the model. Machine-learning methods characterized CAF risk. Gene set enrichment analysis was employed to elucidate the underlying mechanism of CAF in the development of GC. Results: A three-gene ( Conclusion: The CAF signature refines the classifications of GC with distinct prognosis and clinicopathological indicators. The three-gene model could effectively aid in determining the prognosis, drug resistance and immunotherapy efficacy of GC. Thus, this model has promising clinical significance for guiding precise GC anti-CAF therapy combined with immunotherapy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.