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Dataset Information

Bioinformatics analysis combined with experiments predicts CENPK as a potential prognostic factor for lung adenocarcinoma.


ABSTRACT:

Background

Lung cancer is the most common malignant tumor. Identification of novel diagnostic and prognostic biomarkers for lung cancer is a key research imperative. The role of centromere protein K (CENPK) in cancer is an emerging research hotspot. However, the role of CENPK in the progression of lung adenocarcinoma (LAC) is not well characterized.

Methods

In this study, we identified CENPK as a potential new gene for lung cancer based on bioinformatics analysis. In addition, in vitro experiments were performed to verify the function of this gene. We investigated the expression of CENPK in LAC by analyses of datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differential expression analyses, gene ontology (GO) enrichment, Kyoto encyclo

SUBMITTER: Ma J 

PROVIDER: S-EPMC7818917 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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