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Mining TCGA database for genes of prognostic value in gastric cancer microenvironment.
- Source :
-
Journal of cellular and molecular medicine [J Cell Mol Med] 2020 Oct; Vol. 24 (19), pp. 11120-11132. Date of Electronic Publication: 2020 Aug 20. - Publication Year :
- 2020
-
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.<br /> (© 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.)
- Subjects :
- Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Kaplan-Meier Estimate
Prognosis
Reproducibility of Results
Signal Transduction genetics
Stromal Cells metabolism
Stromal Cells pathology
Survival Analysis
Data Mining
Databases, Genetic
Stomach Neoplasms diagnosis
Stomach Neoplasms genetics
Tumor Microenvironment genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1582-4934
- Volume :
- 24
- Issue :
- 19
- Database :
- MEDLINE
- Journal :
- Journal of cellular and molecular medicine
- Publication Type :
- Academic Journal
- Accession number :
- 32818296
- Full Text :
- https://doi.org/10.1111/jcmm.15595