Potential role of DKK3 and WIF1 in prostate cancer: bioinformatics and clinical analysis.

ABSTRACT:

Background

Prostate Cancer (PCa) is one of the most common malignant tumors in men. Some patients may progress to metastatic and Castration-Resistant Prostate Cancer (CRPC), leading to increased treatment difficulty and poor prognosis. With advancements in bioinformatics and machine learning technologies, the integration of multiple databases can efficiently identify core genes associated with the occurrence of PCa. Additionally, the Tumor Microenvironment (TME) and immune cell infiltration play crucial roles in the development and therapeutic response of PCa. Investigating the interactions between core genes and the immune microenvironment will enhance the understanding of the molecular mechanisms underlying PCa and provide new avenues for precision treatment.

Methods

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SUBMITTER: Xia Z 

PROVIDER: S-EPMC12390899 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature