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MicroRNA-Related Prognosis Biomarkers from High-Throughput Sequencing Data of Colorectal Cancer

BACKGROUND: Colorectal cancer (CRC) is the third most common cancer in the world, and most of them are adenocarcinomas. CRC could be classified as colon adenocarcinoma (COAD) and rectum adenocarcinoma (READ) according to the original tumorigenesis position. Increasing evidences indicated that microR...

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Autores principales: Xing, Xiao-Liang, Yao, Zhi-Yong, Zhang, Ti, Zhu, Ning, Liu, Yuan-Wu, Peng, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501550/
https://www.ncbi.nlm.nih.gov/pubmed/32964043
http://dx.doi.org/10.1155/2020/7905380
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author Xing, Xiao-Liang
Yao, Zhi-Yong
Zhang, Ti
Zhu, Ning
Liu, Yuan-Wu
Peng, Jing
author_facet Xing, Xiao-Liang
Yao, Zhi-Yong
Zhang, Ti
Zhu, Ning
Liu, Yuan-Wu
Peng, Jing
author_sort Xing, Xiao-Liang
collection PubMed
description BACKGROUND: Colorectal cancer (CRC) is the third most common cancer in the world, and most of them are adenocarcinomas. CRC could be classified as colon adenocarcinoma (COAD) and rectum adenocarcinoma (READ) according to the original tumorigenesis position. Increasing evidences indicated that microRNAs (miRNAs) play an important role in the occurrence of multiple tumors. METHODS: In this study, we firstly downloaded miRNA (COAD, 8 controls vs. 455 tumors; READ, 3 controls vs. 161 tumors) and mRNA (COAD, 41 controls vs. 478 tumors; READ, 10 controls vs. 166 tumors) data from The Cancer Genome Atlas (TCGA) database and then used DESeq2, RegParallel, miRDB, TargetScanHuman 7.2, DAVID 6.8, STRING, and Cytoscape software to identify the potential prognosis biomarkers. RESULTS: We identified 175 differential expression miRNAs (DEMs) and 3747 differential expression genes (DEGs) in COAD and 184 DEMs and 3928 DEGs in READ. And then, we obtained 21 (13 in COAD and 8 in READ) DEMs associated with the survival rates, which correlated with 440 (217 in COAD and 223 in READ) overlapping DEGs. Through survival analysis for those overlapping DEGs, we found 11 (8 in COAD and 3 in READ) overlapping DGEs associated with survival rates of patients, which were correlated with 9 (7 in COAD and 2 in READ) DEMs significantly. CONCLUSION: In this study, we found several candidate prognostic biomarkers which have been identified in various cancers and also found several new prognosis biomarkers of COAD and READ. In conclusion, this analysis based on theoretical knowledge and clinical outcomes we have done needs further confirmation by more researches.
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spelling pubmed-75015502020-09-21 MicroRNA-Related Prognosis Biomarkers from High-Throughput Sequencing Data of Colorectal Cancer Xing, Xiao-Liang Yao, Zhi-Yong Zhang, Ti Zhu, Ning Liu, Yuan-Wu Peng, Jing Biomed Res Int Research Article BACKGROUND: Colorectal cancer (CRC) is the third most common cancer in the world, and most of them are adenocarcinomas. CRC could be classified as colon adenocarcinoma (COAD) and rectum adenocarcinoma (READ) according to the original tumorigenesis position. Increasing evidences indicated that microRNAs (miRNAs) play an important role in the occurrence of multiple tumors. METHODS: In this study, we firstly downloaded miRNA (COAD, 8 controls vs. 455 tumors; READ, 3 controls vs. 161 tumors) and mRNA (COAD, 41 controls vs. 478 tumors; READ, 10 controls vs. 166 tumors) data from The Cancer Genome Atlas (TCGA) database and then used DESeq2, RegParallel, miRDB, TargetScanHuman 7.2, DAVID 6.8, STRING, and Cytoscape software to identify the potential prognosis biomarkers. RESULTS: We identified 175 differential expression miRNAs (DEMs) and 3747 differential expression genes (DEGs) in COAD and 184 DEMs and 3928 DEGs in READ. And then, we obtained 21 (13 in COAD and 8 in READ) DEMs associated with the survival rates, which correlated with 440 (217 in COAD and 223 in READ) overlapping DEGs. Through survival analysis for those overlapping DEGs, we found 11 (8 in COAD and 3 in READ) overlapping DGEs associated with survival rates of patients, which were correlated with 9 (7 in COAD and 2 in READ) DEMs significantly. CONCLUSION: In this study, we found several candidate prognostic biomarkers which have been identified in various cancers and also found several new prognosis biomarkers of COAD and READ. In conclusion, this analysis based on theoretical knowledge and clinical outcomes we have done needs further confirmation by more researches. Hindawi 2020-09-09 /pmc/articles/PMC7501550/ /pubmed/32964043 http://dx.doi.org/10.1155/2020/7905380 Text en Copyright © 2020 Xiao-Liang Xing et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xing, Xiao-Liang
Yao, Zhi-Yong
Zhang, Ti
Zhu, Ning
Liu, Yuan-Wu
Peng, Jing
MicroRNA-Related Prognosis Biomarkers from High-Throughput Sequencing Data of Colorectal Cancer
title MicroRNA-Related Prognosis Biomarkers from High-Throughput Sequencing Data of Colorectal Cancer
title_full MicroRNA-Related Prognosis Biomarkers from High-Throughput Sequencing Data of Colorectal Cancer
title_fullStr MicroRNA-Related Prognosis Biomarkers from High-Throughput Sequencing Data of Colorectal Cancer
title_full_unstemmed MicroRNA-Related Prognosis Biomarkers from High-Throughput Sequencing Data of Colorectal Cancer
title_short MicroRNA-Related Prognosis Biomarkers from High-Throughput Sequencing Data of Colorectal Cancer
title_sort microrna-related prognosis biomarkers from high-throughput sequencing data of colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501550/
https://www.ncbi.nlm.nih.gov/pubmed/32964043
http://dx.doi.org/10.1155/2020/7905380
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