Personalized Circulating Tumor DNA Assay to Assess Long-Term Clinical Benefit in Patients with Advanced Melanoma
<b>Background</b>: Immune checkpoint inhibitors (ICIs) targeting PD-1 have significantly improved outcomes in patients with advanced melanoma. However, the optimal treatment duration remains undefined. Circulating tumor DNA (ctDNA) has emerged as a promising biomarker for treatment response monitoring and surveillance and can predict long-term clinical outcomes. <b>Methods</b>: Clinical and ctDNA data from prospectively enrolled patients with stage IV melanoma treated with anti-PD-1-based therapy at a single academic center were retrospectively analyzed. Of the 56 patients eligible, 28 underwent serial ctDNA testing during ICI treatment and follow-up (median 31 months) using a personalized, tumor-informed assay. Landmark analysis at 6 and 9 months was performed to assess progression-free survival (PFS) based on ctDNA status. Multivariable Cox regression was used to identify independent predictors of long-term outcomes. <b>Results</b>: Pre-ICI treatment, 91.7% (11/12) of evaluable patients were ctDNA-positive. At 6 months, ctDNA negativity or clearance was observed in 47.4% (9/19), and was strongly associated with improved PFS in the landmark analysis (HR: 10.0, <i>p</i> = 0.03; 2-year PFS: 89% in ctDNA-negative versus 30% in ctDNA-positive groups). At 9 months, persistent ctDNA positivity trended toward worse PFS. Multivariate analysis confirmed ctDNA status at the 6-month landmark timepoint to be an independent predictor of long-term benefit. <b>Conclusions</b>: Tumor-informed ctDNA testing is a robust, non-invasive tool to predict long-term benefit from anti-PD-1-based therapy in advanced melanoma. ctDNA clearance or sustained negativity at 6 months may serve as a surrogate for durable response and could inform individualized treatment discontinuation strategies, and minimize toxicity and cost while maintaining efficacy. These findings, derived from a limited single-center cohort, warrant further exploration and validation in larger studies.
Authors
- Cristina Teixidó (ORCID: https://orcid.org/0000-0002-7226-6567)
- Clara Martínez-Vila (ORCID: https://orcid.org/0000-0002-9775-2166)
- Llúcia Alós (ORCID: https://orcid.org/0000-0002-3460-0384)
- Ana Arance (ORCID: https://orcid.org/0000-0003-2896-1957)
- Minetta C. Liu (ORCID: https://orcid.org/0000-0002-8206-5232)
- J. Bryce Ortiz (ORCID: https://orcid.org/0000-0002-3126-9171)
- Sumedha Sudhaman (ORCID: https://orcid.org/0000-0001-9266-7096)
- Michael Krainock (ORCID: https://orcid.org/0000-0003-0081-4584)
- Roberto Martín (ORCID: https://orcid.org/0000-0001-6916-1783)
- Europa Azucena González‐Navarro (ORCID: https://orcid.org/0000-0003-3310-5557)
- Griffin Budde (ORCID: https://orcid.org/0000-0001-6237-0056)
- Natalia Castrejón de Anta (ORCID: https://orcid.org/0000-0002-0647-3058)
- Francisco Aya (ORCID: https://orcid.org/0000-0002-3452-7607)
Institutions
- Departament de Salut (ES)
- Hospital Clínic de Barcelona (ES)
- Natera (United States) (US)
- Spanish Ovarian Cancer Research Group (ES)
- Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES)
- Universitat de Barcelona (ES)
Publication Details
- Journal
- Cancers
- Published
- 2025-11-27
- DOI
- https://doi.org/10.3390/cancers17233804
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Sociedad Española de Oncología Médica