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Long non‐coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta‐ and bioinformatics analysis

BACKGROUND: The possible regulatory mechanism of MIR31HG in human cancers remains unclear, and reported results of the prognostic significance of MIR31HG expression are inconsistent. METHODS: The meta‐analysis and related bioinformatics analysis were conducted to evaluate the role of MIR31HG in tumo...

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Autores principales: Wei, Yuanfeng, Zhai, Yingjie, Liu, Xiaoang, Jin, Shan, Zhang, Lu, Wang, Chengyan, Zou, Hong, Hu, Jianming, Wang, Lianghai, Jiang, Jinfang, Shen, Xihua, Pang, Lijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761471/
https://www.ncbi.nlm.nih.gov/pubmed/34837713
http://dx.doi.org/10.1002/jcla.24082
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author Wei, Yuanfeng
Zhai, Yingjie
Liu, Xiaoang
Jin, Shan
Zhang, Lu
Wang, Chengyan
Zou, Hong
Hu, Jianming
Wang, Lianghai
Jiang, Jinfang
Shen, Xihua
Pang, Lijuan
author_facet Wei, Yuanfeng
Zhai, Yingjie
Liu, Xiaoang
Jin, Shan
Zhang, Lu
Wang, Chengyan
Zou, Hong
Hu, Jianming
Wang, Lianghai
Jiang, Jinfang
Shen, Xihua
Pang, Lijuan
author_sort Wei, Yuanfeng
collection PubMed
description BACKGROUND: The possible regulatory mechanism of MIR31HG in human cancers remains unclear, and reported results of the prognostic significance of MIR31HG expression are inconsistent. METHODS: The meta‐analysis and related bioinformatics analysis were conducted to evaluate the role of MIR31HG in tumor progression. RESULTS: The result showed that high MIR31HG expression was not related to prognosis. However, in the stratified analysis, we found that the overexpression of MIR31HG resulted in worse OS, advanced TNM stage, and tumor differentiation in respiratory system cancers. Moreover, our results also found that MIR31HG overexpression was related to shorter OS in cervical cancer patients and head and neck tumors. In contrast, the MIR31HG was lower in digestive system tumors which contributed to shorter overall survival, advanced TNM stage, and distant metastasis. Furthermore, the bioinformatics analysis showed that MIR31HG was highly expressed in normal urinary bladder, small intestine, esophagus, stomach, and duodenum and low in colon, lung, and ovary. The results obtained from FireBrowse indicated that MIR31HG was highly expressed in LUSC, CESC, HNSC, and LUAD and low in STAD and BLCA. Gene Ontology analysis showed that the co‐expressed genes of MIR31HG were most enriched in the biological processes of peptide metabolism and KEGG pathways were most enriched in Ras, Rap1, and PI3K‐Akt signaling pathway. CONCLUSION: MIR31HG may serve as a potential biomarker in human cancers.
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spelling pubmed-87614712022-01-20 Long non‐coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta‐ and bioinformatics analysis Wei, Yuanfeng Zhai, Yingjie Liu, Xiaoang Jin, Shan Zhang, Lu Wang, Chengyan Zou, Hong Hu, Jianming Wang, Lianghai Jiang, Jinfang Shen, Xihua Pang, Lijuan J Clin Lab Anal Review Article BACKGROUND: The possible regulatory mechanism of MIR31HG in human cancers remains unclear, and reported results of the prognostic significance of MIR31HG expression are inconsistent. METHODS: The meta‐analysis and related bioinformatics analysis were conducted to evaluate the role of MIR31HG in tumor progression. RESULTS: The result showed that high MIR31HG expression was not related to prognosis. However, in the stratified analysis, we found that the overexpression of MIR31HG resulted in worse OS, advanced TNM stage, and tumor differentiation in respiratory system cancers. Moreover, our results also found that MIR31HG overexpression was related to shorter OS in cervical cancer patients and head and neck tumors. In contrast, the MIR31HG was lower in digestive system tumors which contributed to shorter overall survival, advanced TNM stage, and distant metastasis. Furthermore, the bioinformatics analysis showed that MIR31HG was highly expressed in normal urinary bladder, small intestine, esophagus, stomach, and duodenum and low in colon, lung, and ovary. The results obtained from FireBrowse indicated that MIR31HG was highly expressed in LUSC, CESC, HNSC, and LUAD and low in STAD and BLCA. Gene Ontology analysis showed that the co‐expressed genes of MIR31HG were most enriched in the biological processes of peptide metabolism and KEGG pathways were most enriched in Ras, Rap1, and PI3K‐Akt signaling pathway. CONCLUSION: MIR31HG may serve as a potential biomarker in human cancers. John Wiley and Sons Inc. 2021-11-27 /pmc/articles/PMC8761471/ /pubmed/34837713 http://dx.doi.org/10.1002/jcla.24082 Text en © 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Review Article
Wei, Yuanfeng
Zhai, Yingjie
Liu, Xiaoang
Jin, Shan
Zhang, Lu
Wang, Chengyan
Zou, Hong
Hu, Jianming
Wang, Lianghai
Jiang, Jinfang
Shen, Xihua
Pang, Lijuan
Long non‐coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta‐ and bioinformatics analysis
title Long non‐coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta‐ and bioinformatics analysis
title_full Long non‐coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta‐ and bioinformatics analysis
title_fullStr Long non‐coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta‐ and bioinformatics analysis
title_full_unstemmed Long non‐coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta‐ and bioinformatics analysis
title_short Long non‐coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta‐ and bioinformatics analysis
title_sort long non‐coding rna mir31hg as a prognostic predictor for malignant cancers: a meta‐ and bioinformatics analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761471/
https://www.ncbi.nlm.nih.gov/pubmed/34837713
http://dx.doi.org/10.1002/jcla.24082
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