# Ultrasensitive ctDNA monitoring reveals early predictors of immunotherapy response in advanced cancer

**Authors:** Daisuke Nishizaki, Allison Law, Bailiang Li, Charles Abbott, Yi Chen, Suzanna Lee, Rachel Pyke, Kathleen Keough, Gregory A. Daniels, Kay T. Yeung, Sean M. Boyle, Richard O. Chen, Shumei Kato

PMC · DOI: 10.1038/s41698-026-01287-3 · NPJ Precision Oncology · 2026-01-24

## TL;DR

This study shows that tracking tiny amounts of tumor DNA in the blood can predict how well cancer patients respond to immunotherapy.

## Contribution

The study introduces a highly sensitive method to detect ctDNA, enabling early prediction of immunotherapy outcomes.

## Key findings

- Early ctDNA reduction or clearance strongly predicts better progression-free survival.
- Molecular complete response is linked to significantly improved overall and progression-free survival.
- High-sensitivity ctDNA monitoring can guide real-time clinical decisions for immunotherapy.

## Abstract

Circulating tumor DNA (ctDNA)-based response assessment is appealing but limited by conventional analytical thresholds. We utilized a whole genome sequencing based, tumor-informed ultrasensitive ctDNA assay which tracked ~1800 somatic mutations to analyze 227 longitudinal plasma samples from 39 patients with advanced/metastatic cancers receiving immune checkpoint inhibitors (ICIs). ctDNA was detected from 2.0-239,315 PPM (median limit of detection: 1.77 PPM), with 33% of positive detections below 100 PPM. Early molecular response, defined as >50% ctDNA reduction or sustained ctDNA negativity from baseline to first follow-up, strongly predicted improved progression-free survival (PFS) (hazard ratio (HR) = 0.09, 95% CI: 0.02-0.39, p = 0.001) and was independently prognostic of PFS. Molecular complete response (mCR), defined as any ctDNA clearance, predicted overall survival and PFS, with 1-year PFS of 87% in mCR patients versus 16% in non-mCR patients (HR = 0.14, 95% CI: 0.04-0.50, p = 0.003). The high-sensitivity ctDNA monitoring may enable precise, real-time evaluation of ICI response to guide clinical decision-making.

## Linked entities

- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Diseases:** cancer (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12936199/full.md

## References

4 references — full list in the complete paper: https://tomesphere.com/paper/PMC12936199/full.md

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Source: https://tomesphere.com/paper/PMC12936199