Integrated analysis of tissue genomic sequencing and high purity circulating tumor cell RNA sequencing for prostate cancer lineage states as a prognostic factor for survival and resistance to 177Lu-PSMA-617 in patients with metastatic castrate resistant prostate cancer.

M Marina Nasrin Sharifi (University of Wisconsin, Madison, WI) J Jamie M. Sperger A Amy K. Taylor (University of Wisconsin Hospitals and Clinics, Madison, WI) K Katharine Tippins (University of Wisconsin Hospitals and Clinics, Madison, WI) J Jennifer L. Schehr (University of Wisconsin Carbone Cancer Center, Madison, WI) J John M. Floberg (University of Wisconsin Carbone Cancer Center, Madison, WI) C Christos Kyriakopoulos (University of Utah School of Medicine, Salt Lake City, Utah, United States) H Hamid Emamekhoo S Scott T. Tagawa (Weill Cornell Medical Center, NewYork Presbyterian Hospital, New York, NY) A Atish Dipankar Choudhury (Dana-Farber Cancer Institute, Boston, MA) A Andrew J. Armstrong D Dana Rathkopf (Memorial Sloan Kettering Cancer Center, New York, NY) H Himisha Beltran P Peter Nelson (Fred Hutch Cancer Center, Seattle, WA) S Scott M. Dehm (Masonic Cancer Center, University of Minnesota) D David Kosoff X Xiao X. Wei (Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA) R Rana R. McKay (Department of Medicine, Urology, and Radiation Medicine and Applied Sciences University of California‐San Diego La Jolla California USA) S Shuang Zhao (Ministry of Education Key Laboratory of Cluster Science, Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials, Frontiers Science Center for High Energy Materials, School of Chemistry and Chemical Engineering, Advanced Technology Research Institute (Jinan), Advanced Research Institute of Multidisciplinary Science) J Joshua Michael Lang (University of Wisconsin, Madison, WI)

Abstract

5085 Background: Genomic mutations, including RB1 , PTEN , and HRR genes, associate with poor prognosis and treatment resistance in metastatic prostate cancer (mPC). mPC lineage states such as neuroendocrine prostate cancer (NEPC) also drive resistance and poor survival. Identifying the timing and association of genomic mutations with lineage states has been limited by the challenges of obtaining serial tumor biopsies. We report an integrated analysis of clinical next-generation sequencing (NGS) data, ctDNA, and mPC lineage state phenotypes with a novel high purity circulating tumor cell (CTC) RNA sequencing method. Methods: We collected 273 CTC samples from 117 patients with mPC in a prospective biomarker trial. 69 patients had clinical NGS from a recent tissue biopsy and 60 patients treated with PSMA LU . CTCs were purified via immunomagnetic capture on a microfluidic platform and analyzed via RNA-seq. We compared CTC lineage states, somatic mutation status and median overall survival (mOS). Results: Gene expression analysis of high CTC purity samples identified four CTC phenotypes: luminal A-like (LumA), luminal B-like (LumB), low proliferation (LP), and neuroendocrine (NE). Compared to patients with low CTC burden/purity (mOS NR), patients with LumA and LP phenotypes had similar survival ((LumA: mOS 13mo, p=ns, LP: mOS: 11.8mo, p=ns), while patients with LumB and NE phenotypes had shorter survival (LumB: mOS 6mo, HR 9.1[3.8-21.8], p<0.0001, NE: mOS 3.7mo, HR 11.8[2.4-57.2]), p=0.0019). mOS for patients with high-risk genomic mutations ( RB1, PTEN, TP53 ) and a LumA or LP lineage state was 12.7mo versus 4mo for patients with high-risk mutations and a LumB or NE lineage state (HR 3.59 [1.51-8.51], p=0.004). mOS was not reached for patients without high-risk mutations and a LumA or LP lineage state vs 8mo for patients without high-risk mutations but a LumB or NE lineage state (HR 19.7 [1.99-1.95], p<0.0001). Among patients treated with 177Lu-PSMA-617 in a prospective substudy (n=37), no patients had pretreatment CTC NE phenotype, but pre-treatment CTC LumB phenotype was associated with decreased rPFS (3.5mo vs 11.7mo, HR 4.8 [95% CI 1.4-16.1], p<0.005) and OS (7.6mo vs NR, HR 9.3 [95% CI 2.3-37.8], p<0.0005) compared to pretreatment LumA/LP/Low CTC burden phenotypes. Conclusions: Lineage states detected by high purity CTC RNAseq are prognostic for poor OS and decreased benefit from 177Lu-PSMA-617. The presence of high-risk genetic mutations including RB1 is prognostic for poor OS and combined evaluation of high-risk genetic mutation status with lineage state phenotype identifies patients with the worst clinical outcomes that would benefit from treatment intensification and early disease monitoring for these more aggressive subtypes of mCRPC.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 5085-5085
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

M

Marina Nasrin Sharifi

University of Wisconsin, Madison, WI

J

Jamie M. Sperger

A

Amy K. Taylor

University of Wisconsin Hospitals and Clinics, Madison, WI

K

Katharine Tippins

University of Wisconsin Hospitals and Clinics, Madison, WI

J

Jennifer L. Schehr

University of Wisconsin Carbone Cancer Center, Madison, WI

J

John M. Floberg

University of Wisconsin Carbone Cancer Center, Madison, WI

C

Christos Kyriakopoulos

University of Utah School of Medicine, Salt Lake City, Utah, United States

H

Hamid Emamekhoo

S

Scott T. Tagawa

Weill Cornell Medical Center, NewYork Presbyterian Hospital, New York, NY

A

Atish Dipankar Choudhury

Dana-Farber Cancer Institute, Boston, MA

A

Andrew J. Armstrong

D

Dana Rathkopf

Memorial Sloan Kettering Cancer Center, New York, NY

H

Himisha Beltran

P

Peter Nelson

Fred Hutch Cancer Center, Seattle, WA

S

Scott M. Dehm

Masonic Cancer Center, University of Minnesota

D

David Kosoff

X

Xiao X. Wei

Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA

R

Rana R. McKay

Department of Medicine, Urology, and Radiation Medicine and Applied Sciences University of California‐San Diego La Jolla California USA

S

Shuang Zhao

Ministry of Education Key Laboratory of Cluster Science, Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials, Frontiers Science Center for High Energy Materials, School of Chemistry and Chemical Engineering, Advanced Technology Research Institute (Jinan), Advanced Research Institute of Multidisciplinary Science

J

Joshua Michael Lang

University of Wisconsin, Madison, WI