ArticleAnnals of translational medicine2022
Bioinformatic analysis of cancer-associated fibroblast related gene signature as a predictive model in clinical outcomes and immune characteristics of gastric cancer.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Use of machine learning-based integration to develop an immune-related signature for improving prognosis in patients with gastric cancer.Scientific reports · 2023Trial
- NTAN1 Promotes Glioblastoma Malignant Progression and Is a Novel Prognostic Factor of Poor Prognosis.Biomedicines · 2026Article
- Association of HTR1F with Prognosis, Tumor Immune Microenvironment, and Drug Sensitivity in Cancer: A Multi-Omics Perspective.Biomedicines · 2025Article
- Using Cancer-Associated Fibroblasts as a Shear-Wave Elastography Imaging Biomarker to Predict Anti-PD-1 Efficacy of Triple-Negative Breast Cancer.International journal of molecular sciences · 2025Article
- Gene expression dynamics in fibroblasts during early-stage murine pancreatic carcinogenesis.iScience · 2025Article
- Current state of cancer immunity cycle: new strategies and challenges of using precision hydrogels to treat breast cancer.Frontiers in immunology · 2025Review
- Predicting Survival Signature of Bladder Cancer Related to Cancer-Associated Fibroblast (CAF) Constructed by Intersecting Genes in TCGA and GEO.Molecular biotechnology · 2024Article
- Identification and validation of cancer-associated fibroblast-related subtypes and the prognosis model of biochemical recurrence in prostate cancer based on single-cell and bulk RNA sequencing.Journal of cancer research and clinical oncology · 2023Article
- Urinary Proteomics for Discovery of Gastric Cancer Biomarkers to Enable Precision Clinical Oncology.Omics : a journal of integrative biology · 2023Article
- Article
- Integrating single-cell and bulk RNA sequencing to develop a cancer-associated fibroblast-related signature for immune infiltration prediction and prognosis in lung adenocarcinoma.Journal of thoracic disease · 2023Article
- Crosstalk between fibroblasts and T cells in immune networks.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Gastric cancer (GC) has a high incidence and high mortality rate among Asian countries, and distinguishing predictive prognosis biomarkers for GC are essential. Cancer-associated fibroblasts (CAFs) play a significant role in the progression, immune evasion, and therapeutic resistance of GC. Therefore, CAF-associated genes might have huge potential as prognostic biomarkers for predicting tumor progression and survival rate in GC pateints. Methods: A sum of 1,134 GC patients from the The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA-STAD), GSE62254, and GSE84437 datasets as well as GC cohorts from Xijing hospital were included. Firstly, we performed univariate Cox regression analysis to identify CAF-associated prognostic genes. Subsequently, the Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to develop a CAF gene signature (CAFGS) in the TCGA-STAD training cohort. CAFGS's predictive performance was examined in both the training and validation cohorts, and the relationship between CAFGS and the tumor microenvironment (TME) was investigated by ssGSEA, CIBERSORT, TIMER, and ESTIMATE. Finally, a nomogram of CAFGS was established. Results: Ten CAF-associated genes ( Conclusions: We established a CAFGS model with 10 CAF-associated genes that had a great predictive value for GC prognosis and survival rate evaluation. This study could provide a novel insight for investigating the role of CAFs in GC.
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