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Dataset Information

CKS2 and RMI2 are two prognostic biomarkers of lung adenocarcinoma.


ABSTRACT:

Background

Lung adenocarcinoma (ACA) is the most common subtype of non-small-cell lung cancer. About 70%-80% patients are diagnosed at an advanced stage; therefore, the survival rate is poor. It is urgent to discover accurate markers that can differentiate the late stages of lung ACA from the early stages. With the development of biochips, researchers are able to efficiently screen large amounts of biological analytes for multiple purposes.

Methods

Our team downloaded GSE75037 and GSE32863 from the Gene Expression Omnibus (GEO) database. Next, we utilized GEO's online tool, GEO2R, to analyze the differentially expressed genes (DEGs) between stage I and stage II-IV lung ACA. The using the Cytoscape software was used to analyze the DEGs and the protein-protein interaction (PPI

SUBMITTER: Xiao D 

PROVIDER: S-EPMC7547618 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature