Ultrasensitive ctDNA monitoring to reveal early predictors of immunotherapy success in advanced cancer.

2561 Background: The potential of immune checkpoint inhibition (ICI) therapy is constrained by the inability to predict patient response. Circulating tumor DNA (ctDNA) has emerged as a promising tool for real-time response tracking and early prediction of therapeutic outcomes. However, the clinical utility of ctDNA-based liquid biopsy faces a critical challenge: reliable detection in low-shedding tumors and during dramatic therapeutic responses when ctDNA levels approach the analytical threshold. We overcome this technical limitation, achieving the precise longitudinal monitoring needed to optimize ICI therapy. Methods: We analyzed longitudinal plasma samples from 43 patients with treatment-refractory metastatic cancers spanning 8 distinct groups, composed primarily of GI (n = 17) and gynecological cancers (n = 6). Patients underwent a median of 1 previous line of therapy (range 0-8). Using NeXT Personal, an ultra-sensitive personalized liquid biopsy approach, we tracked up to 1,800 patient-specific somatic variants per case across 250 plasma samples. This methodology achieves exceptional analytical sensitivity, detecting circulating tumor DNA at levels as low as 1-3 parts per million (PPM). Results: ctDNA was detected across five orders of magnitude (2.0-239,315 PPM, median LOD: 1.76 PPM), with 31% of positive signals falling in the ultrasensitive range below 100 PPM. Early molecular response, measured by > 50% ctDNA reduction or sustained ctDNA negativity from baseline to first follow-up (median 23 days), strongly predicted improved progression-free survival (PFS) (HR = 0.22, 95% CI 0.07-0.70, p = 0.006), representing a 3-fold increase in 1 year PFS rates. Achievement of durable molecular complete response (dmCR), defined as sustained ctDNA clearance > 120 days, emerged as a powerful predictor of PFS, with dmCR patients maintaining 100% progression-free status at 12 months compared to 63% in non-dmCR patients (HR = 0.10, 95% CI 0.01-0.92, p = 0.017). This survival advantage persisted at 18 months with 80% PFS in dmCR patients versus 21% in non-dmCR patients. Conclusions: Early ctDNA kinetics predict long-term ICI outcomes across multiple advanced cancer types. The ability to detect ultra-low ctDNA levels proved critical for accurate minimal residual disease assessment, even in this heavily pretreated cohort. These results establish high-sensitivity ctDNA monitoring as an essential tool for precise, real-time evaluation of immunotherapy response to guide clinical decision-making. Clinical trial information: NCT02478931 .

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Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.2561
Primary Topic
Cancer Genomics and Diagnostics
Type
article
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article

Ultrasensitive ctDNA monitoring to reveal early predictors of immunotherapy success in advanced cancer.

Charles W. Abbott, Daisuke Nishizaki, Kay T. Yeung, Andrea Law et al.
Journal of Clinical Oncology
Cancer Genomics and Diagnostics
article

Ultrasensitive ctDNA monitoring to reveal early predictors of immunotherapy success in advanced cancer.

Charles W. Abbott, Daisuke Nishizaki, Kay T. Yeung, Andrea Law, Suzanna Lee, Richard Chen, Sean Michael Boyle, Shumei Kato, Yi Chen, Bailiang Li, Gregory A. Daniels
article en

Abstract

2561 Background: The potential of immune checkpoint inhibition (ICI) therapy is constrained by the inability to predict patient response. Circulating tumor DNA (ctDNA) has emerged as a promising tool for real-time response tracking and early prediction of therapeutic outcomes. However, the clinical utility of ctDNA-based liquid biopsy faces a critical challenge: reliable detection in low-shedding tumors and during dramatic therapeutic responses when ctDNA levels approach the analytical threshold. We overcome this technical limitation, achieving the precise longitudinal monitoring needed to optimize ICI therapy. Methods: We analyzed longitudinal plasma samples from 43 patients with treatment-refractory metastatic cancers spanning 8 distinct groups, composed primarily of GI (n = 17) and gynecological cancers (n = 6). Patients underwent a median of 1 previous line of therapy (range 0-8). Using NeXT Personal, an ultra-sensitive personalized liquid biopsy approach, we tracked up to 1,800 patient-specific somatic variants per case across 250 plasma samples. This methodology achieves exceptional analytical sensitivity, detecting circulating tumor DNA at levels as low as 1-3 parts per million (PPM). Results: ctDNA was detected across five orders of magnitude (2.0-239,315 PPM, median LOD: 1.76 PPM), with 31% of positive signals falling in the ultrasensitive range below 100 PPM. Early molecular response, measured by > 50% ctDNA reduction or sustained ctDNA negativity from baseline to first follow-up (median 23 days), strongly predicted improved progression-free survival (PFS) (HR = 0.22, 95% CI 0.07-0.70, p = 0.006), representing a 3-fold increase in 1 year PFS rates. Achievement of durable molecular complete response (dmCR), defined as sustained ctDNA clearance > 120 days, emerged as a powerful predictor of PFS, with dmCR patients maintaining 100% progression-free status at 12 months compared to 63% in non-dmCR patients (HR = 0.10, 95% CI 0.01-0.92, p = 0.017). This survival advantage persisted at 18 months with 80% PFS in dmCR patients versus 21% in non-dmCR patients. Conclusions: Early ctDNA kinetics predict long-term ICI outcomes across multiple advanced cancer types. The ability to detect ultra-low ctDNA levels proved critical for accurate minimal residual disease assessment, even in this heavily pretreated cohort. These results establish high-sensitivity ctDNA monitoring as an essential tool for precise, real-time evaluation of immunotherapy response to guide clinical decision-making. Clinical trial information: NCT02478931 .

Journal of Clinical OncologyVol. 43(16_suppl)
University of California San Diego (US), Personalis (United States) (US), Moores Cancer Center
Openalex Percentile: Top 84%
Cancer Genomics and Diagnostics
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