Bioinformatics analysis and experimental validation of TTK as a biomarker for prognosis in non-small cell lung cancer.

ABSTRACT:

Background

Despite the prominent development of medical technology in recent years, the prognosis of non-small cell lung cancer (NSCLC) is still not optimistic. It is crucial to identify more reliable diagnostic biomarkers for the early diagnosis and personalized therapy of NSCLC and clarify the molecular mechanisms underlying NSCLC progression.

Methods

In the present study, bioinformatics analysis was performed on three datasets obtained from the Gene Expression Omnibus to identify the NSCLC-associated differentially expressed genes (DEGs). Immunohistochemistry-based tissue microarray of human NSCLC was used to experimental validating the potential targets obtained from bioinformatics analysis.

Results

By using protein-protein interaction (PPI) network analysis, Kapl

SUBMITTER: Chen J 

PROVIDER: S-EPMC7538683 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature