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 tumor...
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Published in | Journal of clinical laboratory analysis Vol. 36; no. 1; pp. e24082 - n/a |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
John Wiley & Sons, Inc
01.01.2022
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
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Summary: | 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.
Flow diagram of the study search and main results of the meta‐and bioinformatics analysis. |
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Bibliography: | Funding information This work was supported by the Youth Science and Technology Innovation Leading Talents Project of Corps (2017CB004), the Non‐profit Central Research Institute Fund of Chinese Academy of Medical Sciences (2020‐PT330‐003), Xinjiang Autonomous Region Postgraduate Research and Innovation Project (XJ2020G120), International Science and Technology Cooperation Promotion Plan of Shihezi University (GJHZ201805), and Xinjiang Production and Construction Corps Key Areas Innovation Team Project (2018CB002) Yuanfeng Wei, Yingjie Zhai and Xiaoang Liu are co‐first authors. ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 ObjectType-Review-3 content type line 23 |
ISSN: | 0887-8013 1098-2825 |
DOI: | 10.1002/jcla.24082 |