ArticleFrontiers in immunology2022
Integrative Analysis From Multicenter Studies Identifies a WGCNA-Derived Cancer-Associated Fibroblast Signature for Ovarian 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 78 papers.
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Who cites it
78 citing papers in PubMed, 112 citations in OpenAlex.
- Integrated transcriptomic analysis of peripheral blood CD4 + T cells identifies immune-associated hub genes in rheumatoid arthritis: discovery and external validation.Immunologic research · 2026Article
- Patient-derived model capturing hypoxia and extracellular matrix remodelling of immunologically cold high-grade serous tumours.Nature communications · 2026Article
- The impact of hypoxia and glycolysis on liver fibrosis.Journal of translational medicine · 2026Article
- Integrative Machine-Learning Molecular Subtyping and Risk Scores of Circadian Rhythm-Related Prognostic Signatures in Colorectal Cancer.Journal of gastrointestinal cancer · 2026Article
- Multiple machine learning algorithms construct cuproptosis genes and oxidative stress genes-related LncRNAs signature with prognostic and therapeutic relevance in ovarian cancer.Genes & genomics · 2026Article
- Identification and validation of the protective gene BCAT2 related to amino acid metabolism in idiopathic pulmonary fibrosis.Clinical and experimental medicine · 2026Article
- High-Grade Serous Ovarian Carcinoma in the Genomics Era: Current Applications, Challenges and Future Directions.International journal of molecular sciences · 2026Review
- Mitochondrial autophagy mechanism and berberine therapeutic target discovery in hepatocellular carcinoma based on single-cell and transcriptome analysis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Advancements in single-cell sequencing for cervical cancer research.Molecular and cellular biochemistry · 2026Review
- Indoleamine 2,3-dioxygenase 1 inhibition reverses cancer-associated fibroblast-mediated immunosuppression in high-grade serous ovarian cancer.FEBS open bio · 2026Article
- Spatiotemporal transcriptomic insights into ferroptosis and TFRC-linked immune interactions in ischemia-reperfusion acute kidney injury.Genes and immunity · 2026Article
- Integrating WGCNA and machine learning algorithm to identify ACSM5 as a prognostic biomarker and therapeutic target for predicting immunotherapy efficacy in non-small cell lung cancer.Translational cancer research · 2026Article
- Article
- Single-Cell Sequencing Data Revealed Mechanisms of Interactions Between Tumor Cells and Cancer-Associated Fibroblasts in Metastatic Colorectal Cancer.BioMed research international · 2026Article
- Germinal Center-Like Tertiary Lymphoid Structures Mark Immune Responsiveness and Enable Checkpoint Immunotherapy in Bladder Cancer.Oncology research · 2026Article
- Integrative bulk and single-cell transcriptomic profiling identifies core gene networks and potential therapeutic targets in glioma.BMC cancer · 2025Article
- Integrative approach for enhanced ovarian cancer diagnosis: cytology and biomarkers.Discover oncology · 2025Article
- Development and Validation of a Prognostic Model for Lung Adenocarcinoma Based on CAF-Related Genes: Unveiling the Role of COX6A1 in Cancer Progression and CAF Infiltration.International journal of molecular sciences · 2025Article
- SCUBE1 Promotes Gestational Diabetes Mellitus: A Bioinformatics and Experimental Investigation.Biochemical genetics · 2025Article
- MEOX2 mediates cisplatin resistance in ovarian cancer via E2F target and DNA repair pathways.Journal of ovarian research · 2025Article
18 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer-associated fibroblasts (CAFs) are a major contributor to tumor stromal crosstalk in the tumor microenvironment (TME) and boost tumor progression by promoting angiogenesis and lymphangiogenesis. This study aimed to identify prognostic genes associated with CAFs that lead to high morbidity and mortality in ovarian cancer (OC) patients. We performed bioinformatics analysis in 16 multicenter studies (2,742 patients) and identified CAF-associated hub genes using the weighted gene co-expression network analysis (WGCNA). A machine learning methodology was used to identify COL16A1, COL5A2, GREM1, LUM, SRPX, and TIMP3 and construct a prognostic signature. Subsequently, a series of bioinformatics algorithms indicated risk stratification based on the above signature, suggesting that high-risk patients have a worse prognosis, weaker immune response, and lower tumor mutational burden (TMB) status but may be more sensitive to routine chemotherapeutic agents. Finally, we characterized prognostic markers using cell lines, immunohistochemistry, and single-cell sequencing. In conclusion, these results suggest that the CAF-related signature may be a novel pretreatment guide for anti-CAFs, and prognostic markers in CAFs may be potential therapeutic targets to inhibit OC progression.
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