ArticleFrontiers in immunology2022
The cancer-associated fibroblast-related signature predicts prognosis and indicates immune microenvironment infiltration in gastric cancer.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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55 citing papers in PubMed, 80 citations in OpenAlex.
- Molecular classification and precision therapy in gastric cancer: Current advances and future perspectives (Review).Oncology reports · 2026Review
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- A Novel Telomere Maintenance Gene-Related Model for Prognosis Prediction in Gastric Cancer.Biochemical genetics · 2026Article
- Identification of potential hub biomarkers for gastric high-grade intraepithelial neoplasia early diagnosis: evidence from gene expression profiles and pathological characters.Translational cancer research · 2026Article
- A prediction model of gastric cancer based on M2-like tumor-associated macrophage infiltration verified by immunohistochemistry.Translational cancer research · 2026Article
- Article
- Spatial immune cell architecture after gastric cancer surgery predicts prognosis.World journal of gastrointestinal surgery · 2026Article
- Correlation of immune-inflammatory and tumor markers with lymph node metastasis in gastric cancer.American journal of translational research · 2026Article
- Association of NDRG4 gene methylation in peripheral blood leukocytes with gastric cancer risk, chemotherapy efficacy and prognosis.Frontiers in oncology · 2026Article
- Unveiling prognostic genes and regulatory mechanisms of stress granules in gastric cancers: an integrated analysis of bulk transcriptomics and single-cell RNA sequencing.Frontiers in oncology · 2026Article
- Article
- Targeting the remodeled peritoneal ecosystem: a paradigm shift from tumor cells to the microenvironment in gastric cancer peritoneal metastasis.Frontiers in immunology · 2026Review
- Helicobacter pylori-Induced Inflammatory Cancer Transformation Microenvironment Drives Gastric Carcinogenesis.Cellular and molecular gastroenterology and hepatology · 2026Article
- Integration of angiogenesis and programmed cell death mechanisms unveils potential diagnostic and therapeutic targets in spinal cord injury.Journal of translational medicine · 2025Article
- The role of CSTF2 in gastric cancer: implications for therapy.European journal of medical research · 2025Article
- Spatial and functional dissection of cancer-associated fibroblasts-mediated immune modulation in H. pylori-associated gastric cancer.Molecular cancer · 2025Article
- Development and validation of a prognostic prediction model for gastric cancer based on lipophagy-related genes.Translational cancer research · 2025Article
- Differential Expression of Disulfidptosis-Related Genes in Spinal Cord Injury and Their Role in the Immune Microenvironment.Molecular neurobiology · 2025Article
- Cancer-associated fibroblasts in cancer drug resistance and cancer progression: a review.Cell death discovery · 2025Review
- Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning.Scientific reports · 2025Article
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7 authors at 2 institutions in 1 country.
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Abstract
Background: Gastric cancer (GC) is one of the most common cancers, with a wide range of symptoms and outcomes. Cancer-associated fibroblasts (CAFs) are newly identified in the tumor microenvironment (TME) and associated with GC progression, prognosis, and treatment response. A novel CAF-associated prognostic model is urgently needed to improve treatment strategies. Methods: The detailed data of GC samples were downloaded from The Cancer Genome Atlas (TCGA), GSE62254, GSE26253, and GSE84437 datasets, then obtained 18 unique CAF-related genes from the research papers. Eight hundred eight individuals with GC were classified as TCGA or GSE84437 using consensus clustering by the selected CAF-related genes. The difference between the two subtypes revealed in this study was utilized to create the "CAF-related signature score" (CAFS-score) prognostic model and validated with the Gene Expression Omnibus (GEO) database. Results: We identified two CAF subtypes characterized by high and low CAFS-score in this study. GC patients in the low CAFS-score group had a better OS than those in the high CAFS-score group, and the cancer-related malignant pathways were more active in the high CAFS-score group, compared to the low CAFS-score group. We found that there was more early TNM stage in the low CAFS-score subgroup, while there was more advanced TNM stage in the high CAFS-score subgroup. The expression of TMB was significantly higher in the low CAFS-score subgroup than in the high CAFS-score subgroup. A low CAFS-score was linked to increased microsatellite instability-high (MSI-H), mutation load, and immunological activation. Furthermore, the CAFS-score was linked to the cancer stem cell (CSC) index as well as chemotherapeutic treatment sensitivity. The patients in the high CAFS-score subgroup had significantly higher proportions of monocytes, M2 macrophages, and resting mast cells, while plasma cells and follicular helper T cells were more abundant in the low-risk subgroup. The CAFS-score was also highly correlated with the sensitivity of chemotherapeutic drugs. The low CAFS-score group was more likely to have an immune response and respond to immunotherapy. We developed a nomogram to improve the CAFS-clinical score's usefulness. Conclusion: The CAFS-score may have a significant role in the TME, clinicopathological characteristics, prognosis, CSC, MSI, and drug sensitivity, according to our investigation of CAFs in GC. We also analyzed the value of the CAFS-score in immune response and immunotherapy. This work provides a foundation for improving prognosis and responding to immunotherapy in patients with GC.
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