MicroRNA expression integrated analysis and identification of novel biomarkers in small cell lung cancer: a meta-analysis.

ABSTRACT:

Background

Small cell lung cancer (SCLC) is an aggressive and recalcitrant cancer. In recent years, studies focused on the abnormal expression of microRNA which has proven valuable in terms of prognosis, diagnosis and treatment in SCLC. To address the limitations of independent studies data, a meta-analysis seems necessary for further exploration of microRNA as biological target and regulatory factor in SCLC.

Methods

We performed comprehensive literature retrieval in GEO database and EBI ArrayExpress database. The microRNA expression data was extracted from 4 related researches (GSE15008, GSE74190, GSE19945, GSE77380), which was obtained from GEO database. In each included study, the R. Affymetrix Expression Console's Limma package and RMA algorithms were used to screen for

SUBMITTER: Han D 

PROVIDER: S-EPMC8797432 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature