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Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer

BACKGROUND: Cancer is the result of a complex multistep process that involves the accumulation of sequential alterations of several genes, including those encoding microRNAs (miRNAs) that have critical roles in the regulation of gene expression. In this study, we aimed to predict potential mechanism...

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Autores principales: Xu, Yahong, Luo, Shunwen, Liu, Yang, Li, Jian, Lu, Yi, Jia, Zhigang, Zhao, Qihua, Ma, Xiaoping, Yang, Minghui, Zhao, Yue, Chen, Ping, Guo, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766679/
https://www.ncbi.nlm.nih.gov/pubmed/24004856
http://dx.doi.org/10.1186/2047-783X-18-29
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author Xu, Yahong
Luo, Shunwen
Liu, Yang
Li, Jian
Lu, Yi
Jia, Zhigang
Zhao, Qihua
Ma, Xiaoping
Yang, Minghui
Zhao, Yue
Chen, Ping
Guo, Yu
author_facet Xu, Yahong
Luo, Shunwen
Liu, Yang
Li, Jian
Lu, Yi
Jia, Zhigang
Zhao, Qihua
Ma, Xiaoping
Yang, Minghui
Zhao, Yue
Chen, Ping
Guo, Yu
author_sort Xu, Yahong
collection PubMed
description BACKGROUND: Cancer is the result of a complex multistep process that involves the accumulation of sequential alterations of several genes, including those encoding microRNAs (miRNAs) that have critical roles in the regulation of gene expression. In this study, we aimed to predict potential mechanisms of bladder cancer related miRNAs and target genes by bioinformatics analyses. METHODS: Here we used the method of text mining to identify nine miRNAs in bladder cancer and adopted protein-protein interaction analysis to identify interaction sites between these miRNAs and related-target genes. RESULTS: There are two relationship types between bladder cancer and its related miRNAs: causal and unspecified. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment test showed that there were three pathways related to four miRNA targeted genes. The remaining five miRNAs annotated to disease are not enriched in the KEGG pathways. Of these, PIK3R1 is the overlapping gene among 38 genes in the cancer and bladder cancer pathways. CONCLUSIONS: These findings provide new insights into the role of miRNAs in the pathway of cancer and give us a hypothesis that miR-127 might play a similar role in regulation and control of PIK3R1.
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spelling pubmed-37666792013-09-09 Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer Xu, Yahong Luo, Shunwen Liu, Yang Li, Jian Lu, Yi Jia, Zhigang Zhao, Qihua Ma, Xiaoping Yang, Minghui Zhao, Yue Chen, Ping Guo, Yu Eur J Med Res Research BACKGROUND: Cancer is the result of a complex multistep process that involves the accumulation of sequential alterations of several genes, including those encoding microRNAs (miRNAs) that have critical roles in the regulation of gene expression. In this study, we aimed to predict potential mechanisms of bladder cancer related miRNAs and target genes by bioinformatics analyses. METHODS: Here we used the method of text mining to identify nine miRNAs in bladder cancer and adopted protein-protein interaction analysis to identify interaction sites between these miRNAs and related-target genes. RESULTS: There are two relationship types between bladder cancer and its related miRNAs: causal and unspecified. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment test showed that there were three pathways related to four miRNA targeted genes. The remaining five miRNAs annotated to disease are not enriched in the KEGG pathways. Of these, PIK3R1 is the overlapping gene among 38 genes in the cancer and bladder cancer pathways. CONCLUSIONS: These findings provide new insights into the role of miRNAs in the pathway of cancer and give us a hypothesis that miR-127 might play a similar role in regulation and control of PIK3R1. BioMed Central 2013-09-01 /pmc/articles/PMC3766679/ /pubmed/24004856 http://dx.doi.org/10.1186/2047-783X-18-29 Text en Copyright © 2013 Xu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Xu, Yahong
Luo, Shunwen
Liu, Yang
Li, Jian
Lu, Yi
Jia, Zhigang
Zhao, Qihua
Ma, Xiaoping
Yang, Minghui
Zhao, Yue
Chen, Ping
Guo, Yu
Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer
title Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer
title_full Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer
title_fullStr Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer
title_full_unstemmed Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer
title_short Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer
title_sort integrated gene network analysis and text mining revealing pik3r1 regulated by mir-127 in human bladder cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766679/
https://www.ncbi.nlm.nih.gov/pubmed/24004856
http://dx.doi.org/10.1186/2047-783X-18-29
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