Unknown

Dataset Information

Application of miRNA Biomarkers in Predicting Overall Survival Outcomes for Lung Adenocarcinoma.


ABSTRACT:

Background

With the development of research, the importance of microRNAs (miRNAs) in the occurrence, metastasis, and prognosis of lung adenocarcinoma (LUAD) has attracted extensive attention. This study is aimed at predicting overall survival (OS) results through bioinformatics to identify novel miRNA biomarkers and hub genes.

Materials and methods

The data of LUAD-related miRNA and mRNA samples was downloaded from The Cancer Genome Atlas (TCGA) database. Upon screening and pretreatment of initial data, TCGA data were analyzed using R platform and a series of analytical tools to identify biomarkers with high specificity and sensitivity.

Results

7 miRNAs and 13 hub genes that had strong relation to the overall surviving status were identified in patients with LUAD. The

SUBMITTER: Li T 

PROVIDER: S-EPMC9485713 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature