Sensitivity of circulating tumor DNA (ctDNA) for disease recurrence or relapse in melanoma patients.

V Vincent The-Luc Ma (Division of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, University of Wisconsin, Madison, WI) F Fauzia Hollnagel M Madison S. Harris (University of Wisconsin Madison, Madison, WI) J Janmesh D. Patel (University of Wisconsin Madison, Madison, 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) A Alexander Birbrair (Department of Dermatology, University of Wisconsin-Madison) J Joshua Michael Lang (University of Wisconsin, 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)

Abstract

9584 Background: ctDNA has emerged as a biomarker for minimal residual disease (MRD) detection in colorectal cancer and other cancer types. Its role in MRD monitoring and disease detection for melanoma patients merits further investigation. We aimed to assess the sensitivity of a commercially available ctDNA test to detect recurrence or relapse in patients with melanoma. Methods: A retrospective cohort analysis was performed using a personalized, tumor-informed, ctDNA assay (Natera) on prospectively collected plasma from patients with a diagnosis of melanoma from December 2021 to January 2025 with longitudinal follow up. Inclusion criteria were patients with no evidence of disease (NED) following definitive surgery or clinical remission with systemic therapy; and an undetectable ctDNA level. We evaluated the sensitivity of ctDNA detection of patients who had biopsy and/or radiographic confirmation of recurrence or relapse; and further stratified this based on anatomic sites of recurrence or metastasis (mets). Sensitivity was computed and logistic regression models were conducted to assess predictors of ctDNA detection. Results: 116 patients met the inclusion criteria. 48% (n=56) had confirmed recurrence or relapse. Among these patients, 82% (n=46) had NED following surgery and 18% (n=10) had clinical remission with systemic therapy. 75% (n=42) were resected stage II/III, 7% (n=4) were resected stage IV, 4% (n=2) were unresectable stage III in remission, and 14% (n=8) were unresectable stage IV in remission. Melanoma primaries included: 82% (n=46) cutaneous, 7% (n=4) mucosal, 5% (n=3) uveal, 5% (n=3) unknown. ctDNA was detected in 30 out of 56 patients with confirmed recurrence/relapse, with an overall sensitivity of 53.6%. Sensitivity varied by site of recurrence/relapse. Sensitivity for ctDNA detection of brain mets was 33.3% (4/12); skin/mucosa/muscle recurrence or mets was 37.5% (6/16); lung mets was 61.5% (8/13); bone mets was 75% (3/4); liver mets was 87.5% (7/8), and lymph node mets was 87.5% (14/16). The odds of detecting ctDNA at relapse or recurrence were significant amongst patients with lymph node mets (OR=10.5, 95% CI 2.10-52.58, p=0.004) and patients with multiple anatomic sites (2+) of mets (OR=7.61, 95% CI 1.27-66.67, p=0.032). Conclusions: ctDNA monitoring shows potential in detecting recurrence or relapse in patients with melanoma. We found that location of metastatic disease impacts the shedding of ctDNA and its detection of macroscopic disease. Larger studies are needed to refine the role of ctDNA monitoring and its clinical application in melanoma surveillance.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 9584-9584
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (9)

V

Vincent The-Luc Ma

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

F

Fauzia Hollnagel

M

Madison S. Harris

University of Wisconsin Madison, Madison, WI

J

Janmesh D. Patel

University of Wisconsin Madison, Madison, 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

A

Alexander Birbrair

Department of Dermatology, University of Wisconsin-Madison

J

Joshua Michael Lang

University of Wisconsin, 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