Genomic analysis of cfDNA samples from Black patients with metastatic castration-resistant prostate cancer to explore gene alterations associated with tumor progression and treatment resistance.

F Franklin W. Huang H Hanbing Song T Tomoki Motegi A Aditya Mahadevan (Department of Medicine University of California, San Francisco, San Francisco, CA) K Kiana Mahdaviani (Boston University Medical Center, Boston, MA) S Sunny Wang R Rahul Raj Aggarwal (Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA) T Tu Le (UC Davis School of Medicine, Sacramento, CA) H Haowen Liu (School Department of Neurology, the First Affiliated Hospital, Neuroscience Research Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University) R Rebecca Reichel (Broad Institute of MIT and Harvard, Boston, MA) M Margaret Tsui (University of California San Francisco, San Francisco, CA) C Casey Simon-Plumb (Boston University Medical Center, Boston, MA) D David Li (Division of Gastroenterology and Hepatology, Department of Medicine, University of Pennsylvania) A Adrian Ilinski (Boston University Medical Center, Boston, MA) N Nina Modanlo (Boston University Medical Center, Boston, MA) G Gwynne Ozkan (2Weill Cornell Medical College, New York, United States) K Kurtis Stadnicki (Boston University Medical Center, Boston, MA) A Anais Mortazavi-Zadeh (Boston University Medical Center, Boston, MA) G Gretchen Gignac (Section of Hematology and Medical Oncology, Boston University, Boston, MA) J Joshua Campbell (Department of Electrical and Computer Engineering, The University of Texas at Austin 2 , Austin, Texas 78712,)

Abstract

e17060 Background: Prostate cancer is among the most commonly diagnosed cancers in the United States, accounting for 29% of new cancer diagnoses among men in 2024. While overall treatment outcomes in metastatic castration resistant prostate cancer (mCRPC) continue to improve, outcome disparities in black men continue to persist. To date, characterization of mutations conferring treatment resistance in black men with mCRPC remains limited, particularly studies utilizing minimally invasive plasma-derived cell-free DNA (cfDNA). As such, we sampled cfDNA from black mCRPC patients at various points in their treatment course to characterize genetic shifts and identify candidate genes associated with disease progression and treatment resistance. Methods: Ultra-Low-Pass Whole-Genome Sequencing (ULP-WGS), whole exome sequencing (WES), and prostate-cancer specific custom panel sequencing (CP) were performed on 118 cfDNA samples obtained from 60 black men with mCRPC before, during treatment, and following tumor progression. Genomic analyses were performed, and corresponding findings were compared to those of white men from previous studies. Results: In both WES and CP, progression samples were shown to harbor more copy number variation and mutational diversity than samples obtained before or during treatment. Between the two sequencing platforms, high concordance was observed in coding mutations in established oncogenes such as FOXA1, SPOP, AR and PTEN. Progression samples were enriched in AR, TP53, and KMT2D mutations. Notably, 55% of progression samples demonstrated AR enhancer amplification, but not all of these samples harbored AR gene body amplification. Unsupervised clustering of chromatin accessibility profiles of 377 transcription factor binding sites (TFBSs) revealed four distinct subclusters of patients. Cluster 4 was enriched for mCRPC, had higher tumor fraction and PSA values compared to other clusters, and was defined by higher levels of prostate-related TFBSs such as AR, NKX3-1, and FOXA1. One HSPC sample had low tumor fraction but was grouped into Cluster 4 suggesting that chromatin accessibility can capture tumor aggressiveness better than somatic profiles in a subset of samples. Conclusions: This study characterized genomic shifts in black mCRPC patients, a population understudied in cancer genomics research, throughout their treatment course. We identified genomic alterations potentially associated with tumor progression and treatment resistance, including enrichment of AR, TP53, and KMT2D mutations. Additionally, AR enhancer amplification in progression samples suggests that epigenomic factors influence disease progression in patients with AR-driven mCRPC.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

F

Franklin W. Huang

H

Hanbing Song

T

Tomoki Motegi

A

Aditya Mahadevan

Department of Medicine University of California, San Francisco, San Francisco, CA

K

Kiana Mahdaviani

Boston University Medical Center, Boston, MA

S

Sunny Wang

R

Rahul Raj Aggarwal

Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA

T

Tu Le

UC Davis School of Medicine, Sacramento, CA

H

Haowen Liu

School Department of Neurology, the First Affiliated Hospital, Neuroscience Research Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University

R

Rebecca Reichel

Broad Institute of MIT and Harvard, Boston, MA

M

Margaret Tsui

University of California San Francisco, San Francisco, CA

C

Casey Simon-Plumb

Boston University Medical Center, Boston, MA

D

David Li

Division of Gastroenterology and Hepatology, Department of Medicine, University of Pennsylvania

A

Adrian Ilinski

Boston University Medical Center, Boston, MA

N

Nina Modanlo

Boston University Medical Center, Boston, MA

G

Gwynne Ozkan

2Weill Cornell Medical College, New York, United States

K

Kurtis Stadnicki

Boston University Medical Center, Boston, MA

A

Anais Mortazavi-Zadeh

Boston University Medical Center, Boston, MA

G

Gretchen Gignac

Section of Hematology and Medical Oncology, Boston University, Boston, MA

J

Joshua Campbell

Department of Electrical and Computer Engineering, The University of Texas at Austin 2 , Austin, Texas 78712,