ArticleJournal of cellular and molecular medicine2020
Mining TCGA database for genes of prognostic value in gastric cancer microenvironment.
Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Molecular classification and precision therapy in gastric cancer: Current advances and future perspectives (Review).Oncology reports · 2026Review
- Constructing a tumor immune microenvironment-driven prognostic model in acute myeloid leukemia using bioinformatics and validation data.Scientific reports · 2025Article
- Exploration of ANKRD27 as an immune-related prognostic factor in pan-cancer and hepatocellular carcinoma.Frontiers in oncology · 2024Article
- Article
- A predictive model of immune infiltration and prognosis of head and neck squamous cell carcinoma based on cell adhesion-related genes: including molecular biological validation.Frontiers in immunology · 2023Article
- A novel focal adhesion related gene signature for prognostic prediction in hepatocellular carcinoma.Aging · 2021Article
- Immune Checkpoint Gene Expression Profiling Identifies Programmed Cell Death Ligand-1 Centered Immunologic Subtypes of Oral and Squamous Cell Carcinoma With Favorable Survival.Frontiers in medicine · 2021Article
- Identification of Differentially Expressed Genes Reveals BGN Predicting Overall Survival and Tumor Immune Infiltration of Gastric Cancer.Computational and mathematical methods in medicine · 2021Article
- Mining TCGA database for genes of prognostic value in gastric cancer microenvironment.Journal of cellular and molecular medicine · 2020Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC) is the sixth most common malignancy and the third leading cause of cancer-related death worldwide. Emerging evidence suggests that tumour microenvironment cells play a vital role in the development and prognosis of GC. To investigate the possible effect of stromal scores and immune scores on the overall survival (OS) on the GC patients, we divided GC patients into 'high' and 'low' groups based on their stromal and immune scores, and found differentially expressed genes related to prognosis of GC patients. Functional enrichment analysis and GSVA further revealed that focal adhesion and ECM-receptor interaction are associated with GC patients' survival. Finally, we analysed the effects of genes commonly involved in focal adhesion and ECM-receptor interaction on GC patients' survival and validated our results in another GC cohort from GEO data sets. In conclusion, we obtained a list of tumour microenvironment-related genes that predict poor prognosis in GC patients.
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