Circulating tumor DNA (ctDNA) dynamics during anti-PD-1 based therapy to predict clinical outcomes in advanced stage melanoma: A multicenter retrospective study.

C Caroline Burkey (University of Wisconsin Hospitals and Clinics, Madison, WI) F Fauzia Hollnagel J Janmesh D. Patel (University of Wisconsin Madison, Madison, WI) A Alyssa Steimle (University of Wisconsin Hospitals and Clinics, WI) M Matthew C. Mannino (University of Wisconsin Carbone Cancer Center, Madison, WI) J Jennifer L. Schehr (University of Wisconsin Carbone Cancer Center, Madison, WI) 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) A Alexander Birbrair (Department of Dermatology, University of Wisconsin-Madison) A Adrienne I. Victor (University of Rochester, Rochester, NY) A Alice Yao Zhou (Washington University in St. Louis, St. Louis, MO) V Vincent The-Luc Ma (Division of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, University of Wisconsin, Madison, WI)

Abstract

9523 Background: ctDNA has shown promise as a prognostic biomarker for disease relapse in resected tumors. The significance of ctDNA changes in the advanced or metastatic disease setting for predicting treatment response and survival characteristics is still under investigation. In our study, we evaluated the association between early ctDNA changes after anti-PD-1 based therapy initiation and clinical outcomes in patients with advanced stage melanoma. Methods: We performed a multicenter, retrospective analysis using a personalized, tumor-informed ctDNA assay (Natera) on prospectively collected plasma samples from patients with unresectable stage III/IV melanoma treated with anti-PD-1 based therapy. Baseline ctDNA levels were assessed prior to the start of treatment and at 6-8 weeks. Patients were divided into 3 cohorts based on ctDNA changes: ctDNA clearance (6-8 week level undetectable or 0 MTM/mL), ctDNA decrease (6-8 week level decreased from baseline but detectable), or ctDNA increase (6-8 week level increased from baseline). Logistic regression models were used to evaluate the odds of disease control based on the change in ctDNA levels between both time points. Cox proportional hazard models were used to study the effects of ctDNA changes on progression-free survival (PFS) and overall survival (OS). Results: We identified 95 patients with unresectable stage III (18%; n=17) or stage IV (82%; n=78) melanoma with cutaneous (72%; n=68), uveal (12%; n=11), mucosal (8%; n=8), or unknown (8%; n=8) primaries who were treated with dual anti-PD-1/anti-CTLA-4 (60%; n=57), dual anti-PD-1/anti-LAG-3 (17%; n=16), or anti-PD-1 monotherapy (23%; n=22). At baseline, median age was 75, median baseline ctDNA was 363 mTM/ml, and median follow up was 13.1 months; 29% (n=28) had liver metastases, 26% (n=25) had brain metastases. Using ctDNA clearance (n=40) as reference, patients with ctDNA decrease (n=23) had lower odds of disease control (OR=0.09, 95% CI 0.01-0.85, p=0.035), and shorter PFS (HR=5.15, 2.25-11.79, p<0.001), and OS (HR=5.72, 1.52-21.56, p=0.010); patients with ctDNA increase (n=32) had even lower odds of disease control (OR=0.01, 0.00-0.09, p<0.001) and even shorter PFS (HR=5.67, CI 2.62-12.24, p<0.001) and OS (HR=8.76, CI 2.55-30.11, p=0.001). 12-month PFS for ctDNA clearance, ctDNA decrease, and ctDNA increase were 94.3%, 63.0%, and 48.2%, respectively. 12-month OS for ctDNA clearance, ctDNA decrease, and ctDNA increase were 95.4%, 64.6%, and 50.5% respectively. Conclusions: ctDNA dynamics after 6-8 weeks of anti-PD-1 therapy in patients with advanced stage melanoma may be predictive of disease control, progression-free survival, and overall survival. ctDNA clearance is associated with favorable clinical outcomes. Larger studies are needed to validate the role of ctDNA as an early response biomarker in advanced disease.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 9523-9523
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (12)

C

Caroline Burkey

University of Wisconsin Hospitals and Clinics, Madison, WI

F

Fauzia Hollnagel

J

Janmesh D. Patel

University of Wisconsin Madison, Madison, WI

A

Alyssa Steimle

University of Wisconsin Hospitals and Clinics, WI

M

Matthew C. Mannino

University of Wisconsin Carbone Cancer Center, Madison, WI

J

Jennifer L. Schehr

University of Wisconsin Carbone Cancer Center, Madison, WI

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

A

Alexander Birbrair

Department of Dermatology, University of Wisconsin-Madison

A

Adrienne I. Victor

University of Rochester, Rochester, NY

A

Alice Yao Zhou

Washington University in St. Louis, St. Louis, MO

V

Vincent The-Luc Ma

Division of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, University of Wisconsin, Madison, WI