Cargando…

Identification of a Five-Gene Prognostic Model and Its Potential Drug Repurposing in Colorectal Cancer Based on TCGA, GTEx and GEO Databases

Colorectal cancer (CRC) is a major cause of cancer deaths worldwide. Unfortunately, many CRC patients are still being diagnosed at an advanced stage of the cancer, and the 5-year survival rate is only ~30%. Effective prognostic markers of CRC are therefore urgently needed. To address this issue, we...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Feng, Cai, Shaoyi, Ling, Li, Zhang, Haiji, Tao, Liang, Wang, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848190/
https://www.ncbi.nlm.nih.gov/pubmed/33537062
http://dx.doi.org/10.3389/fgene.2020.622659
_version_ 1783645078393192448
author Yang, Feng
Cai, Shaoyi
Ling, Li
Zhang, Haiji
Tao, Liang
Wang, Qin
author_facet Yang, Feng
Cai, Shaoyi
Ling, Li
Zhang, Haiji
Tao, Liang
Wang, Qin
author_sort Yang, Feng
collection PubMed
description Colorectal cancer (CRC) is a major cause of cancer deaths worldwide. Unfortunately, many CRC patients are still being diagnosed at an advanced stage of the cancer, and the 5-year survival rate is only ~30%. Effective prognostic markers of CRC are therefore urgently needed. To address this issue, we performed a detailed bioinformatics analysis based on the Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) databases to identify prognostic biomarkers for CRC, which in turn help in exploring potential drug-repurposing. We identified five hub genes (PGM2, PODXL, RHNO1, SCD, and SEPHS1), which had good performance in survival prediction and might be involved in CRC through three key pathways (“Cell cycle,” “Purine metabolism,” and “Spliceosome” KEGG pathways) identified by a KEGG pathway enrichment analysis. What is more, we performed a co-expression analysis between five hub genes and transcription factors to explore the upstream regulatory region. Furthermore, we screened the potential drug-repurposing for the five hub genes in CRC according to the Binding DB and ZINC15 databases. Taking together, we constructed a five-gene signature to predict overall survival of CRC and found the potential drug-repurposing, which may improve the outcome of CRC in the future.
format Online
Article
Text
id pubmed-7848190
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-78481902021-02-02 Identification of a Five-Gene Prognostic Model and Its Potential Drug Repurposing in Colorectal Cancer Based on TCGA, GTEx and GEO Databases Yang, Feng Cai, Shaoyi Ling, Li Zhang, Haiji Tao, Liang Wang, Qin Front Genet Genetics Colorectal cancer (CRC) is a major cause of cancer deaths worldwide. Unfortunately, many CRC patients are still being diagnosed at an advanced stage of the cancer, and the 5-year survival rate is only ~30%. Effective prognostic markers of CRC are therefore urgently needed. To address this issue, we performed a detailed bioinformatics analysis based on the Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) databases to identify prognostic biomarkers for CRC, which in turn help in exploring potential drug-repurposing. We identified five hub genes (PGM2, PODXL, RHNO1, SCD, and SEPHS1), which had good performance in survival prediction and might be involved in CRC through three key pathways (“Cell cycle,” “Purine metabolism,” and “Spliceosome” KEGG pathways) identified by a KEGG pathway enrichment analysis. What is more, we performed a co-expression analysis between five hub genes and transcription factors to explore the upstream regulatory region. Furthermore, we screened the potential drug-repurposing for the five hub genes in CRC according to the Binding DB and ZINC15 databases. Taking together, we constructed a five-gene signature to predict overall survival of CRC and found the potential drug-repurposing, which may improve the outcome of CRC in the future. Frontiers Media S.A. 2021-01-18 /pmc/articles/PMC7848190/ /pubmed/33537062 http://dx.doi.org/10.3389/fgene.2020.622659 Text en Copyright © 2021 Yang, Cai, Ling, Zhang, Tao and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Yang, Feng
Cai, Shaoyi
Ling, Li
Zhang, Haiji
Tao, Liang
Wang, Qin
Identification of a Five-Gene Prognostic Model and Its Potential Drug Repurposing in Colorectal Cancer Based on TCGA, GTEx and GEO Databases
title Identification of a Five-Gene Prognostic Model and Its Potential Drug Repurposing in Colorectal Cancer Based on TCGA, GTEx and GEO Databases
title_full Identification of a Five-Gene Prognostic Model and Its Potential Drug Repurposing in Colorectal Cancer Based on TCGA, GTEx and GEO Databases
title_fullStr Identification of a Five-Gene Prognostic Model and Its Potential Drug Repurposing in Colorectal Cancer Based on TCGA, GTEx and GEO Databases
title_full_unstemmed Identification of a Five-Gene Prognostic Model and Its Potential Drug Repurposing in Colorectal Cancer Based on TCGA, GTEx and GEO Databases
title_short Identification of a Five-Gene Prognostic Model and Its Potential Drug Repurposing in Colorectal Cancer Based on TCGA, GTEx and GEO Databases
title_sort identification of a five-gene prognostic model and its potential drug repurposing in colorectal cancer based on tcga, gtex and geo databases
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848190/
https://www.ncbi.nlm.nih.gov/pubmed/33537062
http://dx.doi.org/10.3389/fgene.2020.622659
work_keys_str_mv AT yangfeng identificationofafivegeneprognosticmodelanditspotentialdrugrepurposingincolorectalcancerbasedontcgagtexandgeodatabases
AT caishaoyi identificationofafivegeneprognosticmodelanditspotentialdrugrepurposingincolorectalcancerbasedontcgagtexandgeodatabases
AT lingli identificationofafivegeneprognosticmodelanditspotentialdrugrepurposingincolorectalcancerbasedontcgagtexandgeodatabases
AT zhanghaiji identificationofafivegeneprognosticmodelanditspotentialdrugrepurposingincolorectalcancerbasedontcgagtexandgeodatabases
AT taoliang identificationofafivegeneprognosticmodelanditspotentialdrugrepurposingincolorectalcancerbasedontcgagtexandgeodatabases
AT wangqin identificationofafivegeneprognosticmodelanditspotentialdrugrepurposingincolorectalcancerbasedontcgagtexandgeodatabases