前列腺癌
恩扎鲁胺
雄激素受体
PTEN公司
医学
癌症研究
生物标志物
蛋白质基因组学
PI3K/AKT/mTOR通路
疾病
生物信息学
癌症
信号转导
转录组
生物
内科学
基因
基因表达
细胞生物学
遗传学
作者
Himisha Beltran,Emmanuel S. Antonarakis,Michael J. Morris,Gerhardt Attard
出处
期刊:American Society of Clinical Oncology educational book
[American Society of Clinical Oncology]
日期:2016-05-01
卷期号: (36): 131-141
被引量:19
摘要
Recent clinical and preclinical studies focused on understanding the molecular landscape of castration-resistant prostate cancer (CRPC) have provided insights into mechanisms of treatment resistance, disease heterogeneity, and potential therapeutic targets. This work has served as a framework for several ongoing clinical studies focused on bringing novel observations into the clinic in the form of tissue, liquid, and imaging biomarkers. Resistance in CRPC typically is driven through reactivation of androgen receptor (AR) signaling, which can occur through AR-activating point mutations, amplification, splice variants (such as AR-V7), or other bypass mechanisms. Detection of AR aberrations in the circulation negatively impacts response to subsequent AR-directed therapies such as abiraterone and enzalutamide. Other potentially clinically relevant alterations in CRPC include defects in DNA damage repair (at either the somatic or germline level) in up to 20% of patients (with implications for PARP1 inhibitor therapy), PI3K/PTEN/Akt pathway activation, WNT signaling pathway alterations, cell cycle gene alterations, and less common but potentially targetable alterations involving RAF and FGFR2. Imaging biomarkers that include those focused on incorporating overexpressed androgen-regulated genes/proteins, such as prostate-specific membrane antigen (PSMA) and dihydrotestosterone (DHT) in combination with CT, can noninvasively identify patterns of AR-driven distribution of CRPC tumor cells, monitor early metastatic lesions, and potentially capture heterogeneity of response to AR-directed therapies and other therapeutics. This article focuses on the current state of clinical biomarker development and future directions for how they might be implemented into the clinic in the near term to improve risk stratification and treatment selection for patients.
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