Identification and validation of diagnostic and prognostic biomarkers in prostate cancer based on WGCNA.

Background: Prostate cancer (PCa) represents a significant health challenge for men, and the advancement of the disease often results in a grave prognosis for patients. Therefore, the identification of biomarkers associated with the diagnosis and prognosis of PCa holds paramount importance in patient health management.

Methods: The datasets pertaining to PCa were retrieved from the Gene Expression Omnibus (GEO) database.

Exploring the clinical and biological significance of the cell cycle-related gene CHMP4C in prostate cancer.

Background: Prostate cancer (PCa) stands as the second most prevalent malignancy impacting male health, and the disease's evolutionary course presents formidable challenges in the context of patient treatment and prognostic management. Charged multivesicular body protein 4 C (CHMP4C) participates in the development of several cancers by regulating cell cycle functions. However, the role of CHMP4C in prostate cancer remains unclear.