Bioinformatics prediction of differential miRNAs in non-small cell lung cancer

Kui Xiao; Shenggang Liu; Yijia Xiao; Yang Wang; Zhiruo Zhu; Yaohui Wang; De Tong; Jiehan Jiang

doi:10.1371/journal.pone.0254854

Bioinformatics prediction of differential miRNAs in non-small cell lung cancer

PLoS One. 2021 Jul 21;16(7):e0254854. doi: 10.1371/journal.pone.0254854. eCollection 2021.

Authors

Kui Xiao^{1

2

3}, Shenggang Liu⁴, Yijia Xiao⁴, Yang Wang⁵, Zhiruo Zhu^{1

2

3}, Yaohui Wang^{1

2

3}, De Tong^{1

2

3}, Jiehan Jiang⁴

Affiliations

¹ Department of Respiratory and Critical Care Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
² Research Unit of Respiratory Disease, Central South University, Changsha, Hunan, China.
³ The Respiratory Disease Diagnosis and Treatment Center of Hunan Province, Changsha, Hunan, China.
⁴ Department of Pulmonary and Critical Care Medicine, University of South China Affiliated Changsha Central Hospital, Changsha City, Hunan Province, China.
⁵ Department of Pathology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Abstract

Background: Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers. The drug resistance of NSCLC has clinically increased. This study aimed to screen miRNAs associated with NSCLC using bioinformatics analysis. We hope that the screened miRNA can provide a research direction for the subsequent treatment of NSCLC.

Methods: We screened out the common miRNAs after compared the NSCLC-related genes in the TCGA database and GEO database. Selected miRNA was performed ROC analysis, survival analysis, and enrichment analysis (GO term and KEGG pathway).

Results: A total of 21 miRNAs were screened in the two databases. And they were all highly expressed in normal and low in cancerous tissues. Hsa-mir-30a was selected by ROC analysis and survival analysis. Enrichment analysis showed that the function of hsa-mir-30a is mainly related to cell cycle regulation and drug metabolism.

Conclusion: Our study found that hsa-mir-30a was differentially expressed in NSCLC, and it mainly affected NSCLC by regulating the cell cycle and drug metabolism.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biomarkers, Tumor* / biosynthesis
Biomarkers, Tumor* / genetics
Carcinoma, Non-Small-Cell Lung* / genetics
Carcinoma, Non-Small-Cell Lung* / metabolism
Carcinoma, Non-Small-Cell Lung* / mortality
Databases, Nucleic Acid
Gene Expression Profiling
Gene Expression Regulation, Neoplastic*
Humans
Lung Neoplasms* / genetics
Lung Neoplasms* / metabolism
Lung Neoplasms* / mortality
MicroRNAs* / biosynthesis
MicroRNAs* / genetics
RNA, Neoplasm* / biosynthesis
RNA, Neoplasm* / genetics

Substances

Biomarkers, Tumor
MicroRNAs
RNA, Neoplasm

Grants and funding

This work was supported by the Scientific Research Project of Hunan Provincial Health Commission, (No. 202103020704). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.