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Combinatorial Chemistry & High Throughput Screening

Author(s): Wei Wang, Bin Liu, Xiaoran Duan, Xiaolei Feng, Tuanwei Wang, Pengpeng Wang, Mingcui Ding, Qiao Zhang, Feifei Feng, Yongjun Wu, Wu Yao, Qi Wang and Yongli Yang*

DOI: 10.2174/1386207323666200124123103

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Identification of Three Differentially Expressed miRNAs as Potential Biomarkers for Lung Adenocarcinoma Prognosis

Page: [148 - 156] Pages: 9

  • * (Excluding Mailing and Handling)

Abstract

Objective: The aim of this study areto screen MicroRNAs (miRNAs) related to the prognosis of lung adenocarcinoma (LUAD) and to explore the possible molecular mechanisms.

Methods: The data for a total of 535 patients with LUAD data were downloaded from The Cancer Genome Atlas (TCGA) database. The miRNAs for LUAD prognosis were screened by both Cox risk proportional regression model and Last Absolute Shrinkage and Selection Operator (LASSO) regression model. The performances of the models were verified by time-dependent Receiver Operating Characteristic (ROC) curve. The possible biological processes linked to the miRNAs’ target genes were analyzed by Gene Ontology (GO), Kyoto gene and genome encyclopedia (KEGG).

Results: Among 127 differentially expressed miRNAs identified from the screening analysis, there are 111 up-regulated and 16 down-regulated miRNAs. Three of them, hsa-miR-1293, hsa-miR-490 and hsa-miR- 5571, were also significantly associated with the survival of the LUAD patients. The targets of the three miRNAs are significantly enriched in systemic lupus erythematosus pathways.

Conclusion: Hsa-miR-1293, hsa-miR-490 and hsa-miR-5571 can be potentially used as novel biomarkers for the prognosis prediction of LUAD.

Keywords: Lung adenocarcinoma, miRNAs, TCGA, prognosis, biomarkers, computational approaches.

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