Clinical Utility of Transcriptomic Signatures to Identify Androgen Receptor and Neuroendocrine Signaling in Prostate Cancer

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
出处
期刊:JCO precision oncology [Lippincott Williams & Wilkins]
卷期号:10 (3): e2500756-e2500756
标识
DOI:10.1200/po-25-00756
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 ).

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zackcai完成签到,获得积分10
刚刚
ana完成签到,获得积分10
刚刚
刚刚
自信的眉毛完成签到,获得积分10
刚刚
刻苦黎云完成签到,获得积分10
刚刚
卡机了完成签到,获得积分10
刚刚
Lz完成签到,获得积分10
刚刚
特独斩完成签到,获得积分10
刚刚
刚刚
执着从筠完成签到 ,获得积分10
1秒前
sycsyc完成签到,获得积分0
1秒前
1秒前
1秒前
1秒前
Haibara发布了新的文献求助10
1秒前
2秒前
卡卡完成签到,获得积分10
2秒前
wangweisky完成签到,获得积分10
2秒前
李哈哈完成签到,获得积分10
2秒前
团团完成签到,获得积分10
2秒前
马家辉完成签到,获得积分10
3秒前
景飞丹发布了新的文献求助10
3秒前
香蕉觅云的应助被里昂义务采纳,获得10
3秒前
jimu发布了新的文献求助10
3秒前
Yingqilin完成签到,获得积分10
3秒前
搔扒发布了新的文献求助10
4秒前
石头发布了新的文献求助10
4秒前
大块完成签到 ,获得积分10
4秒前
LH完成签到,获得积分10
4秒前
忆_完成签到 ,获得积分10
4秒前
爱岗敬业牛马人完成签到,获得积分10
4秒前
null的应助被雨rain采纳,获得10
4秒前
李哈哈发布了新的文献求助10
4秒前
聪明大炮发布了新的文献求助10
4秒前
欧凯了家人们完成签到,获得积分10
4秒前
wendy_1006完成签到 ,获得积分0
4秒前
温暖南莲完成签到,获得积分10
4秒前
波比冰苏打完成签到,获得积分10
5秒前
张津浩完成签到,获得积分10
5秒前
科研顺利完成签到 ,获得积分10
5秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Enhancing Inclusivity in International Large-Scale Assessments: Alignment Optimization as a Tool for Valid Cross-National Comparisons 800
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8136798
求助须知:如何正确求助?哪些是违规求助? 9537791
关于积分的说明 21625792
捐赠科研通 7720440
什么是DOI,文献DOI怎么找? 3420097
关于科研通互助平台的介绍 2545494
邀请新用户注册赠送积分活动 2461896