biostudies-literatureXia ZZiqiu He1637https://www.ebi.ac.uk/biostudies/studies/S-EPMC12390899biostudies-literatureUnknown16(1)<h4>Background</h4>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.<h4>Methods</h4>This Discover oncologyPotential role of DKK3 and WIF1 in prostate cancer: bioinformatics and clinical analysis.PMC12390899A23-1-049Li XLiu ZXia ZHu ZDu DZhang ZHe ZGuo XfalsePotential role of DKK3 and WIF1 in prostate cancer: bioinformatics and clinical analysis.<h4>Background</h4>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.<h4>Methods</h4>This 2025-01-01T00:00:00Z2025 Aug2026-04-08T15:52:28.954Z2026-04-08T05:43:25.104ZS-EPMC123908994086420810.1007/s12672-025-03488-x