Background
With its diverse genetic foundation and heterogeneous nature, non-small cell lung cancer (NSCLC) needs a better comprehension of prognostic evaluation and efficient treatment targeting.
Methods
Bioinformatics analysis was performed of The Cancer Genome Atlas (TCGA)-NSCLC and GSE68571 dataset. Overlapping differentially expressed genes (DEGs) were used for functional enrichment analysis and constructing the protein-protein interaction (PPI) network. In addition, key prognostic genes were identified through prognostic risk models, and their expression levels were verified. The phenotypic effects of cell division cycle 25C (
CDC25C
) regulation on NSCLC cell lines were assessed by
in vitro
experiments using various techniques such as flow cytometry, Transwell, and colony formation. Protein levels related to autophagy and apoptosis were assessed, specifically examining the impact of autophagy inhibition [3-methyladenine (3-MA)] and the miR-142-3p/
CDC25C
axis on this regulatory system.
Results
CDC25C
was identified as a key prognostic marker in NSCLC, showing high expression in tumor samples.
In vitro
experiments showed that
CDC25C
knockdown markedly reduced the capacity of cells to proliferate, migrate, invade, trigger apoptosis, and initiate cell cycle arrest.
CDC25C
and miR-142-3p displayed a reciprocal regulatory relationship.
CDC25C
reversed the inhibitory impacts of miR-142-3p on NSCLC cell cycle proliferation and progression. The synergy of miR-142-3p inhibition,
CDC25C
silencing, and 3-MA treatment was shown to regulate NSCLC cell processes including proliferation, apoptosis, and autophagy.
Conclusions
MiR-142-3p emerged as a key player in governing autophagy and apoptosis by directly targeting
CDC25C
expression. This emphasizes the pivotal role of the miR-142-3p/
CDC25C
axis as a critical regulatory pathway in NSCLC.