posted on 2025-05-02, 07:25authored byYuehui 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
Cox proportional hazards model of genomic aberrations and progression free survival of chemotherapy
Funding
National Cancer Institute (NCI)
United States Department of Health and Human Services
University of Texas MD Anderson Cancer Center (MD Anderson)
Cancer Prevention and Research Institute of Texas (CPRIT)
Prostate Cancer Foundation (PCF)
History
ARTICLE ABSTRACT
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.