ArticleCancer medicine2023
Five EMT-related genes signature predicts overall survival and immune environment in microsatellite instability-high gastric cancer.
Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 24 citations in OpenAlex.
- Calumenin prevents fibroblast senescence and lung aging by promoting vimentin proteostasis.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Prognostic integration of tumor microenvironment and parthanatos-related genes in gastric cancer: a machine learning-driven risk model and immune landscape profiling.Frontiers in immunology · 2026Article
- A autophagy related gene signature to predict the prognosis of pancreatic carcinoma and tumor immune microenvironment evaluation.Scientific reports · 2025Article
- Calumenin, A Calcium-Binding Modulatory Protein, Effective in Pathological Calcifications and Cancers, With Therapeutic Application Promise.FASEB bioAdvances · 2025Review
- Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer.Scientific reports · 2025Article
- Silencing Calumenin Expression via Artificial MicroRNA, a Potential Breakthrough for Inhibiting Proliferation, Halting Migration, and Triggering Apoptosis in Breast Cancer Cells.Advanced pharmaceutical bulletin · 2025Article
- Transcriptome-Based Survival Analysis IdentifiesCancers · 2025Article
- Identification of a metabolic-immune signature associated with prognosis in colon cancer and exploration of potential predictive efficacy of immunotherapy response.Clinical and experimental medicine · 2025Article
- Training and experimental validation a novel anoikis- and epithelial‒mesenchymal transition-related signature for evaluating prognosis and predicting immunotherapy efficacy in gastric cancer.Journal of Cancer · 2025Article
- Management of Microsatellite Instability High (MSI-H) Gastroesophageal Adenocarcinoma.Journal of gastrointestinal cancer · 2024Review
- [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
- Characterization and verification of CAF-relevant prognostic gene signature to aid therapy in bladder cancer.Heliyon · 2024Article
- A novel platelets-related gene signature for predicting prognosis, immune features and drug sensitivity in gastric cancer.Frontiers in immunology · 2024Article
- EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma.Scientific reports · 2023Article
- LncRNA THUMPD3-AS1 promotes invasion and EMT in gastric cancer by regulating the miR-1297/BCAT1 pathway.iScience · 2023Article
- Five EMT-related genes signature predicts overall survival and immune environment in microsatellite instability-high gastric cancer.Cancer medicine · 2023Article
- The crosstalk between anoikis and epithelial-mesenchymal transition and their synergistic roles in predicting prognosis in colon adenocarcinoma.Frontiers in oncology · 2023Article
- A Necroptosis-Related Gene Signature to Predict the Prognosis of Skin Cutaneous Melanoma.Disease markers · 2022Article
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Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicrosatellite instability-high (MSI-H) subgroup of gastric cancer (GC) is characterized by a high tumor mutational burden, increased lymphocytic infiltration, and enhanced inflammatory cytokines. GC patients with MSI-H status have a good response to immune checkpoint blockade management. However, heterogeneity within the subtype and the underlying mechanisms of shaping tumor microenvironments remain poorly understood.
methodsRNA expression levels and clinical parameters of GC were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The data were analyzed using single-sample Gene Set Enrichment Analysis (ssGSEA), univariate Cox regression, multivariate Cox regression, and Least Absolute Shrinkage Selection Operator (LASSO) regression. In addition, multiplex immunohistochemistry (mIHC) was used in our clinical cohort for the tumor microenvironment study.
resultsBy ssGSEA and survival analysis, the EMT signaling pathway was identified as a representative pathway, which can stratify the patients with MSI-H GC with significant survival predictive power. Then, a novel representative EMT-related five-gene signature (namely CALU, PCOLCE2, PLOD2, SGCD, and THBS2) was established from EMT signaling gene set, which sensitivity and specificity were further validated in the independent GEO database (GSE62254) cohort for disease outcome prediction. Based on public single-cell data and in situ immunohistochemistry, we found that most of these five genes were abundantly expressed in cancer-associated fibroblasts. Furthermore, patients with high or low risk divided by this five-gene signature exhibited a strong correlation of the distinct patterns of tumor immune microenvironment. By mIHC staining of sections from 30 patients with MSI-H status, we showed that the patients with better prognoses had the increased infiltration of CD8
conclusionOur study developed a simple five-gene signature for stratifying MSI-H GC patients with survival predictive power.
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