Circulating tumor DNA levels and related kinetics as prognostic biomarkers for clinical outcomes in mCRPC: A post hoc analysis of CM 7DX.

K Karim Fizazi (Centre Oscar Lambret, University of Paris-Saclay, Lille, France) F Fred Saad (Centre Hospitalier de l’Université de Montréal, University of Montreal, Montreal) T Teresa Alonso Gordoa (Medical Oncology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain) P Philippe Barthélémy J Jeffrey C. Goh (ICON Research, South Brisbane & Queensland University of Technology, Brisbane, QLD, Australia) T Tomas Buchler D Daniel Castellano (Hospital Universitario 12 de Octubre, Madrid) C Chung-Wei Lee D Ding Jiang (Bristol Myers Squibb, New York, NY) P Pradipta Ray (5Bristol Myers Squibb, Princeton, United States) D David Paulucci (Bristol Myers Squibb, Princeton, NJ) A Ana Lako S Saurabh Gupta A Aranzazu Campos (Bristol Meyers Sqibb, Lawrenceville, NJ) S Sumit Kumar Subudhi (Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX) M Maximiliano A.G. Van Kooten Losio (Bristol Myers Squibb, Boudry, Neuchâtel, Switzerland) H Hernan Javier Cutuli (Hospital Sirio Libanés, Buenos Aires, Argentina)

Abstract

252 Background: Liquid biopsy assays in mCRPC are utilized for treatment eligibility of PARP inhibitors (HRR) and Pembrolizumab (MSI High). These ctDNA targeted gene panels provide translational data beyond gene mutations. Tumor Fraction (TF), the percentage of cfDNA from tumor, is a promising prognostic efficacy biomarker in pre-chemo mCRPC, and a potential predictive biomarker to post-chemo PSMA radioligand therapy. Methods: We analyzed ctDNA run with Illumina-TSO500 from the CA209-7DX Ph3 mCRPC trial (Nivo+chemo vs. Chemo in chemo-naïve mCRPC) to determine: TF at baseline or changes at Cycle6 Day1 (C6D1). TF at each timepoint was determined through the maximum somatic allelic frequency. Results: We present a combined analysis of treatment arms as both showed similar association between clinical outcomes and TF levels as well as clearance. Out of 1030 ITT patients TF data was available for 527 (51%) patients. Patients in the highest TF tertile had TF of ≥4.6% and TF<0.3% for the lowest tertile. Patients in the lowest TF tertile had 10 months longer overall survival (OS) to the highest TF tertile (p<0.001). Patients in the highest TF tertile demonstrated higher hazard ratio for OS (HR 3.42,[2.34-4.98] p<0.001) and rPFS (HR 1.95 [1.47-2.59], p<0001) over lowest tertile. This differential was maintained across arms and indicates that TF is a strong prognostic biomarker. High TF outperformed common stratification factors (prior exposure to chemo in CSPC or novel ARPIs) for poor prognostication in a multivariate analysis. TF high patients have higher rates of AR-Amp/AR-LBD mutations (72.6%) than TF low (28.8%). Patients with TF clearance, defined as TF < 1% at C6D1 had 8 months mOS advantage over patients with a TF >1% at baseline and on-treatment. TF clearance strongly correlated with OS (HR=0.42 [0.28-0.62], p<0.001), rPFS benefit (HR=0.24 [0.17-0.34], p<0.001) and PSA response (28% vs. 62%) regardless of treatment arm. Conclusions: This data advocates for plasma TF as a robust prognostic biomarker and as a potential stratification opportunity in mCRPC clinical trials. TF clearance may act as an early indicator of treatment response and hence can be an important monitoring tool for mCRPC patient management. Clinical trial information: NCT04100018 .

Article Details

Volume / Issue Vol. 43, Issue 5_suppl
Published February 10, 2025
Pages 252-252
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (17)

K

Karim Fizazi

Centre Oscar Lambret, University of Paris-Saclay, Lille, France

F

Fred Saad

Centre Hospitalier de l’Université de Montréal, University of Montreal, Montreal

T

Teresa Alonso Gordoa

Medical Oncology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain

P

Philippe Barthélémy

J

Jeffrey C. Goh

ICON Research, South Brisbane & Queensland University of Technology, Brisbane, QLD, Australia

T

Tomas Buchler

D

Daniel Castellano

Hospital Universitario 12 de Octubre, Madrid

C

Chung-Wei Lee

D

Ding Jiang

Bristol Myers Squibb, New York, NY

P

Pradipta Ray

5Bristol Myers Squibb, Princeton, United States

D

David Paulucci

Bristol Myers Squibb, Princeton, NJ

A

Ana Lako

S

Saurabh Gupta

A

Aranzazu Campos

Bristol Meyers Sqibb, Lawrenceville, NJ

S

Sumit Kumar Subudhi

Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX

M

Maximiliano A.G. Van Kooten Losio

Bristol Myers Squibb, Boudry, Neuchâtel, Switzerland

H

Hernan Javier Cutuli

Hospital Sirio Libanés, Buenos Aires, Argentina