Cargando…
Mining TCGA database for genes of prognostic value in gastric cancer microenvironment
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 immu...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576220/ https://www.ncbi.nlm.nih.gov/pubmed/32818296 http://dx.doi.org/10.1111/jcmm.15595 |
_version_ | 1783597972988100608 |
---|---|
author | Lan, Qingzhi Wang, Peng Tian, Shan Dong, Weiguo |
author_facet | Lan, Qingzhi Wang, Peng Tian, Shan Dong, Weiguo |
author_sort | Lan, Qingzhi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7576220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75762202020-10-23 Mining TCGA database for genes of prognostic value in gastric cancer microenvironment Lan, Qingzhi Wang, Peng Tian, Shan Dong, Weiguo J Cell Mol Med Original Articles 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. John Wiley and Sons Inc. 2020-08-20 2020-10 /pmc/articles/PMC7576220/ /pubmed/32818296 http://dx.doi.org/10.1111/jcmm.15595 Text en © 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Lan, Qingzhi Wang, Peng Tian, Shan Dong, Weiguo Mining TCGA database for genes of prognostic value in gastric cancer microenvironment |
title | Mining TCGA database for genes of prognostic value in gastric cancer microenvironment |
title_full | Mining TCGA database for genes of prognostic value in gastric cancer microenvironment |
title_fullStr | Mining TCGA database for genes of prognostic value in gastric cancer microenvironment |
title_full_unstemmed | Mining TCGA database for genes of prognostic value in gastric cancer microenvironment |
title_short | Mining TCGA database for genes of prognostic value in gastric cancer microenvironment |
title_sort | mining tcga database for genes of prognostic value in gastric cancer microenvironment |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576220/ https://www.ncbi.nlm.nih.gov/pubmed/32818296 http://dx.doi.org/10.1111/jcmm.15595 |
work_keys_str_mv | AT lanqingzhi miningtcgadatabaseforgenesofprognosticvalueingastriccancermicroenvironment AT wangpeng miningtcgadatabaseforgenesofprognosticvalueingastriccancermicroenvironment AT tianshan miningtcgadatabaseforgenesofprognosticvalueingastriccancermicroenvironment AT dongweiguo miningtcgadatabaseforgenesofprognosticvalueingastriccancermicroenvironment |