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Identification of KIF4A and its effect on the progression of lung adenocarcinoma based on the bioinformatics analysis

1 Jan 2021

Abstract excerpt

BACKGROUND: Lung adenocarcinoma (LUAD) is the most frequent histological type of lung cancer, and its incidence has displayed an upward trend in recent years. Nevertheless, little is known regarding effective biomarkers for LUAD. METHODS: The robust rank aggregation method was used to mine differentially expressed genes (DEGs) from the gene expression omnibus (GEO) datasets. The Search Tool for the Retrieval of...

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PMID: 33398330
DOI: 10.1042/bsr20203973

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