前列腺癌
紫杉烷
精密医学
生物
奥拉帕尼
外显子组
基因组学
个性化医疗
癌症的体细胞进化
人口
PTEN公司
癌症
外显子组测序
肿瘤科
生物信息学
医学
基因组
基因
乳腺癌
遗传学
PI3K/AKT/mTOR通路
突变
聚ADP核糖聚合酶
环境卫生
细胞凋亡
聚合酶
作者
Yuehui Zhao,Naveen Ramesh,Ping Xu,Emi Sei,Min Hu,Shanshan Bai,Patricia Troncoso,Ana M. Aparicio,Christopher J. Logothetis,Paul G. Corn,Nicholas E. Navin,Amado J. Zurita
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2025-02-24
卷期号:85 (9): 1680-1695
被引量:2
标识
DOI:10.1158/0008-5472.can-24-1943
摘要
Treatment decisions in metastatic castration-resistant prostate cancer are mostly guided by clinical variables, but efforts to molecularly monitor the disease remain hampered by challenges in acquiring tumor tissue repeatedly. In this study, we simultaneously profiled the genome copy number and exome in longitudinal plasma circulating tumor DNA (ctDNA) acquired before, during, and upon progression to serial treatments with androgen signaling inhibitors and taxane chemotherapy from 60 patients with metastatic castration-resistant prostate cancer (2-10 samples per patient). The genomic data were used to delineate the clonal substructure and evolutionary dynamics of each patient, and an evolutionary dynamic index was developed to measure the longitudinal changes of the tumor subclones. Treatment with androgen signaling inhibitors resulted in greater subclonal selection and population structure changes than taxane treatment. The subclones that emerged in association with serial therapy resistance harbored recurrent aberrations in previously identified and new candidate genes, with particular enrichment in genes related to PI3K-AKT signaling. These findings indicate that the integration of detailed clinical and genomic data can provide a framework for future unbiased genomic applications for ctDNA in the clinic to enable precision medicine. Significance: Profiling of the genomic copy number changes and mutations in circulating tumor DNA collected longitudinally from prostate cancer patients receiving serial life-prolonging therapies elucidates evolutionary dynamics and identifies emerging resistant subclones.
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