前列腺癌
PTEN公司
雄激素受体
转录组
癌症研究
前列腺
生物
色丛
肿瘤科
医学
恩扎鲁胺
癌症
雄激素
内科学
神经内分泌肿瘤
生物信息学
信号转导
细胞
基因表达谱
基因
腺癌
基因组学
生殖系
生化复发
作者
Yu-Wei Chen,Joanne Xiu,Kelsey Anne Poorman,Charles J. Ryan,Brady Gilg,Matthew James Oberley,Gloria Hopkins Sura,George W. Sledge,Shuang G. Zhao,Alan Tan,Himisha Beltran,Rana R. McKay
摘要
PURPOSE This study aimed to define molecular subtypes of prostate cancer by integrating androgen receptor (AR) signaling, neuroendocrine prostate cancer (NEPC) transcriptional signatures, and genomic alterations to inform biomarker-driven therapies in metastatic castration-resistant prostate cancer. METHODS We analyzed 8,019 prostate tumors using DNA/RNA sequencing (Caris Life Sciences), classifying them into four molecular subtypes (AR+/NE–, AR–/NE+, AR+/NE+, AR–/NE–). Genomic alterations, cell surface target expression, and overall survival (OS) were evaluated. RESULTS Of the 8,019 tumors, 87.2% were adenocarcinoma, 1.9% NEPC, and 0.4% had mixed histology; 63% were from primary sites and 36.5% from metastases. The median age was 68 years; 63% were White, 15% Black, and 2.6% Asian or Pacific Islander. Most tumors were classified as AR+/NE– (91%), and 4.6% were AR-/NE+. TP53 and PTEN alterations were enriched in AR–negative subtypes, whereas SPOP mutations were more frequent in AR+ tumors. FOLH1 (prostate-specific membrane antigen) expression was the highest in AR+ tumors, whereas DLL3 expression was elevated in NE+ tumors. Median OS was significantly longer in tumors with high AR signaling (55.0 v 14.0 months, P < .00001) and lower with the NEPC signature (54.3 v 16.1 months, P < .00001). Combined stratification showed the most favorable outcome in AR+/NE– tumors (55.3 months) and the poorest in AR–/NE+ tumors (12.0 months). CONCLUSION Prostate cancer exhibits distinct molecular subtypes defined by AR signaling activity, NEPC transcriptional profiles, and genomic alterations. These biologically and clinically relevant subgroups provide a framework for precision oncology approaches and inform patient selection for biomarker-driven trials such as the ongoing PREDICT study (ClinicalTrials.gov identifier: NCT06632977 ).
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