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Global analysis of miRNA-mRNA regulation pair in bladder cancer

PURPOSE: MicroRNA (miRNA) is a class of short non-coding RNA molecules that functions in RNA silencing and post-transcriptional regulation of gene expression. This study aims to identify critical miRNA-mRNA regulation pairs contributing to bladder cancer (BLCA) pathogenesis. PATIENTS AND METHODS: Mi...

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Autores principales: Fan, Xingchen, Zou, Xuan, Liu, Cheng, Peng, Shuang, Zhang, Shiyu, Zhou, Xin, Wang, Tongshan, Zhu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896384/
https://www.ncbi.nlm.nih.gov/pubmed/35241117
http://dx.doi.org/10.1186/s12957-022-02538-w
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author Fan, Xingchen
Zou, Xuan
Liu, Cheng
Peng, Shuang
Zhang, Shiyu
Zhou, Xin
Wang, Tongshan
Zhu, Wei
author_facet Fan, Xingchen
Zou, Xuan
Liu, Cheng
Peng, Shuang
Zhang, Shiyu
Zhou, Xin
Wang, Tongshan
Zhu, Wei
author_sort Fan, Xingchen
collection PubMed
description PURPOSE: MicroRNA (miRNA) is a class of short non-coding RNA molecules that functions in RNA silencing and post-transcriptional regulation of gene expression. This study aims to identify critical miRNA-mRNA regulation pairs contributing to bladder cancer (BLCA) pathogenesis. PATIENTS AND METHODS: MiRNA and mRNA microarray and RNA-sequencing datasets were downloaded from gene expression omnibus (GEO) and the cancer genome atlas (TCGA) databases. The tool of GEO2R and R packages were used to screen differential miRNAs (DE-miRNAs) and mRNAs (DE-mRNAs) and DAVID, DIANA, and Hiplot tools were used to perform gene enrichment analysis. The miRNA-mRNA regulation pair were screened from the experimentally validated miRNA-target interactions databases (miRTarbase and TarBase). Twenty-eight pairs of BLCA tissues were used to further verify the screened DE-miRNAs and DE-mRNAs by quantitative reverse transcription and polymerase chain reaction (qRT-PCR). The diagnostic value of the miRNA-mRNA regulation pairs was evaluated by receiver operating characteristic curve (ROC) and decision curve analysis (DCA). The correlation analysis between the selected miRNA-mRNAs regulation pair and clinical, survival and tumor-related phenotypes was performed in this study. RESULTS: After miRTarBase, the analysis of 2 miRNA datasets, 6 mRNA datasets, and TCGA-BLCA dataset, a total of 13 miRNAs (5 downregulated and 8 upregulated in BLCA tissues) and 181 mRNAs (72 upregulated and 109 downregulated in BLCA tissues) were screened out. The pairs of miR-17-5p (upregulated in BLCA tissues) and TGFBR2 (downregulated in BLCA tissues) were verified in the external validation cohort (28 BLCA vs. 28 NC) using qRT-PCR. Areas under the ROC curve of the miRNA-mRNA regulation pair panel were 0.929 (95% CI: 0.885–0.972, p < 0.0001) in TCGA-BLCA and 0.767 (95% CI: 0.643–0.891, p = 0.001) in the external validation. The DCA also showed that the miRNA-mRNA regulation pairs had an excellent diagnostic performance distinguishing BLCA from normal controls. Correlation analysis showed that miR-17-5p and TGFBR2 correlated with tumor immunity. CONCLUSIONS: The research identified potential miRNA-mRNA regulation pairs, providing a new idea for exploring the genesis and development of BLCA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02538-w.
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spelling pubmed-88963842022-03-14 Global analysis of miRNA-mRNA regulation pair in bladder cancer Fan, Xingchen Zou, Xuan Liu, Cheng Peng, Shuang Zhang, Shiyu Zhou, Xin Wang, Tongshan Zhu, Wei World J Surg Oncol Research PURPOSE: MicroRNA (miRNA) is a class of short non-coding RNA molecules that functions in RNA silencing and post-transcriptional regulation of gene expression. This study aims to identify critical miRNA-mRNA regulation pairs contributing to bladder cancer (BLCA) pathogenesis. PATIENTS AND METHODS: MiRNA and mRNA microarray and RNA-sequencing datasets were downloaded from gene expression omnibus (GEO) and the cancer genome atlas (TCGA) databases. The tool of GEO2R and R packages were used to screen differential miRNAs (DE-miRNAs) and mRNAs (DE-mRNAs) and DAVID, DIANA, and Hiplot tools were used to perform gene enrichment analysis. The miRNA-mRNA regulation pair were screened from the experimentally validated miRNA-target interactions databases (miRTarbase and TarBase). Twenty-eight pairs of BLCA tissues were used to further verify the screened DE-miRNAs and DE-mRNAs by quantitative reverse transcription and polymerase chain reaction (qRT-PCR). The diagnostic value of the miRNA-mRNA regulation pairs was evaluated by receiver operating characteristic curve (ROC) and decision curve analysis (DCA). The correlation analysis between the selected miRNA-mRNAs regulation pair and clinical, survival and tumor-related phenotypes was performed in this study. RESULTS: After miRTarBase, the analysis of 2 miRNA datasets, 6 mRNA datasets, and TCGA-BLCA dataset, a total of 13 miRNAs (5 downregulated and 8 upregulated in BLCA tissues) and 181 mRNAs (72 upregulated and 109 downregulated in BLCA tissues) were screened out. The pairs of miR-17-5p (upregulated in BLCA tissues) and TGFBR2 (downregulated in BLCA tissues) were verified in the external validation cohort (28 BLCA vs. 28 NC) using qRT-PCR. Areas under the ROC curve of the miRNA-mRNA regulation pair panel were 0.929 (95% CI: 0.885–0.972, p < 0.0001) in TCGA-BLCA and 0.767 (95% CI: 0.643–0.891, p = 0.001) in the external validation. The DCA also showed that the miRNA-mRNA regulation pairs had an excellent diagnostic performance distinguishing BLCA from normal controls. Correlation analysis showed that miR-17-5p and TGFBR2 correlated with tumor immunity. CONCLUSIONS: The research identified potential miRNA-mRNA regulation pairs, providing a new idea for exploring the genesis and development of BLCA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02538-w. BioMed Central 2022-03-03 /pmc/articles/PMC8896384/ /pubmed/35241117 http://dx.doi.org/10.1186/s12957-022-02538-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fan, Xingchen
Zou, Xuan
Liu, Cheng
Peng, Shuang
Zhang, Shiyu
Zhou, Xin
Wang, Tongshan
Zhu, Wei
Global analysis of miRNA-mRNA regulation pair in bladder cancer
title Global analysis of miRNA-mRNA regulation pair in bladder cancer
title_full Global analysis of miRNA-mRNA regulation pair in bladder cancer
title_fullStr Global analysis of miRNA-mRNA regulation pair in bladder cancer
title_full_unstemmed Global analysis of miRNA-mRNA regulation pair in bladder cancer
title_short Global analysis of miRNA-mRNA regulation pair in bladder cancer
title_sort global analysis of mirna-mrna regulation pair in bladder cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896384/
https://www.ncbi.nlm.nih.gov/pubmed/35241117
http://dx.doi.org/10.1186/s12957-022-02538-w
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