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Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer

BACKGROUND: Accumulating evidences demonstrated that microRNA-target gene pairs were closely related to tumorigenesis and development. However, the correlation between miRNA and target gene was insufficiently understood, especially its changes between tumor and normal tissues. OBJECTIVES: The aim of...

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Autores principales: Li, Xingsong, Yu, Xiaokang, He, Yuting, Meng, Yuhuan, Liang, Jinsheng, Huang, Lizhen, Du, Hongli, Wang, Xueping, Liu, Wanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304515/
https://www.ncbi.nlm.nih.gov/pubmed/30627543
http://dx.doi.org/10.1155/2018/1972606
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author Li, Xingsong
Yu, Xiaokang
He, Yuting
Meng, Yuhuan
Liang, Jinsheng
Huang, Lizhen
Du, Hongli
Wang, Xueping
Liu, Wanli
author_facet Li, Xingsong
Yu, Xiaokang
He, Yuting
Meng, Yuhuan
Liang, Jinsheng
Huang, Lizhen
Du, Hongli
Wang, Xueping
Liu, Wanli
author_sort Li, Xingsong
collection PubMed
description BACKGROUND: Accumulating evidences demonstrated that microRNA-target gene pairs were closely related to tumorigenesis and development. However, the correlation between miRNA and target gene was insufficiently understood, especially its changes between tumor and normal tissues. OBJECTIVES: The aim of this study was to evaluate the changes of correlation of miRNAs-target pairs between normal and tumor. MATERIALS AND METHODS: 5680 mRNA and 5740 miRNA expression profiles of 11 major human cancers were downloaded from the Cancer Genome Atlas (TCGA). The 11 cancer types were bladder urothelial carcinoma, breast invasive carcinoma, head and neck squamous cell carcinoma, kidney chromophobe, kidney renal clear cell carcinoma, kidney renal papillary cell carcinoma, liver hepatocellular carcinoma, lung adenocarcinoma, lung squamous cell carcinoma, stomach adenocarcinoma, and thyroid carcinoma. For each cancer type, we firstly obtained differentially expressed miRNAs (DEMs) and genes (DEGs) in tumor and then acquired critical miRNA-target gene pairs by combining DEMs, DEGs and two experimentally validated miRNA-target interaction databases, miRTarBase and miRecords. We collected samples with both miRNA and mRNA expression values and performed a correlation analysis by Pearson method for miRNA-target pairs in normal and tumor, respectively. RESULTS: We totally got 4743 critical miRNA-target pairs across 11 cancer types, and 4572 of them showed weaker correlation in tumor than in normal. The average correlation coefficients of miRNA-target pairs were different greatly between normal (-0.38 ~ -0.61) and tumor (-0.04 ~ -0.26) for 11 cancer type. The pan-cancer network, which consisted of 108 edges connecting 35 miRNAs and 89 target genes, showed the interactions of pairs appeared in multicancers. CONCLUSIONS: This comprehensive analysis revealed that correlation between miRNAs and target genes was greatly reduced in tumor and these critical pairs we got were involved in cellular adhesion, proliferation, and migration. Our research could provide opportunities for investigating cancer molecular regulatory mechanism and seeking therapeutic targets.
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spelling pubmed-63045152019-01-09 Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer Li, Xingsong Yu, Xiaokang He, Yuting Meng, Yuhuan Liang, Jinsheng Huang, Lizhen Du, Hongli Wang, Xueping Liu, Wanli Biomed Res Int Research Article BACKGROUND: Accumulating evidences demonstrated that microRNA-target gene pairs were closely related to tumorigenesis and development. However, the correlation between miRNA and target gene was insufficiently understood, especially its changes between tumor and normal tissues. OBJECTIVES: The aim of this study was to evaluate the changes of correlation of miRNAs-target pairs between normal and tumor. MATERIALS AND METHODS: 5680 mRNA and 5740 miRNA expression profiles of 11 major human cancers were downloaded from the Cancer Genome Atlas (TCGA). The 11 cancer types were bladder urothelial carcinoma, breast invasive carcinoma, head and neck squamous cell carcinoma, kidney chromophobe, kidney renal clear cell carcinoma, kidney renal papillary cell carcinoma, liver hepatocellular carcinoma, lung adenocarcinoma, lung squamous cell carcinoma, stomach adenocarcinoma, and thyroid carcinoma. For each cancer type, we firstly obtained differentially expressed miRNAs (DEMs) and genes (DEGs) in tumor and then acquired critical miRNA-target gene pairs by combining DEMs, DEGs and two experimentally validated miRNA-target interaction databases, miRTarBase and miRecords. We collected samples with both miRNA and mRNA expression values and performed a correlation analysis by Pearson method for miRNA-target pairs in normal and tumor, respectively. RESULTS: We totally got 4743 critical miRNA-target pairs across 11 cancer types, and 4572 of them showed weaker correlation in tumor than in normal. The average correlation coefficients of miRNA-target pairs were different greatly between normal (-0.38 ~ -0.61) and tumor (-0.04 ~ -0.26) for 11 cancer type. The pan-cancer network, which consisted of 108 edges connecting 35 miRNAs and 89 target genes, showed the interactions of pairs appeared in multicancers. CONCLUSIONS: This comprehensive analysis revealed that correlation between miRNAs and target genes was greatly reduced in tumor and these critical pairs we got were involved in cellular adhesion, proliferation, and migration. Our research could provide opportunities for investigating cancer molecular regulatory mechanism and seeking therapeutic targets. Hindawi 2018-12-06 /pmc/articles/PMC6304515/ /pubmed/30627543 http://dx.doi.org/10.1155/2018/1972606 Text en Copyright © 2018 Xingsong Li 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
Li, Xingsong
Yu, Xiaokang
He, Yuting
Meng, Yuhuan
Liang, Jinsheng
Huang, Lizhen
Du, Hongli
Wang, Xueping
Liu, Wanli
Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer
title Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer
title_full Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer
title_fullStr Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer
title_full_unstemmed Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer
title_short Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer
title_sort integrated analysis of microrna (mirna) and mrna profiles reveals reduced correlation between microrna and target gene in cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304515/
https://www.ncbi.nlm.nih.gov/pubmed/30627543
http://dx.doi.org/10.1155/2018/1972606
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