Identification of Key Genes in Lung Adenocarcinoma and Establishment of Prognostic Mode.

ABSTRACT:

Background

The development of human tumors is associated with the abnormal expression of various functional genes, and a massive tumor-based database needs to be deeply mined. Based on a multigene prediction model, access to urgent prognosis of patients has become possible.

Materials and methods

We selected three RNA expression profiles (GSE32863, GSE10072, and GSE43458) from the lung adenocarcinoma (LUAD) database of the Gene Expression Omnibus (GEO) and analyzed the differentially expressed genes (DEGs) between tumor and normal tissue using GEO2R program. After that, we analyzed the transcriptome data of 479 LUAD samples (54 normal tissue samples and 425 cancer tissue samples) and their clinical follow-up data from the (TCGA) database. Kaplan-Meier (KM) curve and receiver

SUBMITTER: Jiawei Z 

PROVIDER: S-EPMC7653064 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature