Genome-wide variation in cell-free DNA end motif entropy predicts immunotherapy response in head and neck cancer

BACKGROUND. Minimally invasive biomarkers predicting immunotherapy response in head and neck squamous cell carcinoma (HNSCC) remain an unmet clinical need. METHODS. Using patients from a prospective, multi-institutional phase II trial, we performed whole-genome sequencing of 185 longitudinal plasma cell-free DNA (cfDNA) samples from 68 patients with locally advanced, surgically resectable HNSCC who received neoadjuvant and adjuvant pembrolizumab. We developed the regional motif diversity score (rMDS), a fragmentomic metric that quantifies the entropy of cfDNA 5′-end motifs across genomic regions. RESULTS. Unsupervised analysis showed rMDS robustly distinguished responders from non-responders, outperforming established fragmentomic metrics and copy number alterations while remaining independent of technical confounders. Longitudinal rMDS changes localized to regions enriched for immune-, lectin-, and keratinization-related genes — hallmarks of squamous cell carcinoma — reflecting tumor–peripheral immunity interplay during treatment. The most dynamic regions clustered at telomere-proximal loci, suggesting a link between telomere biology and cfDNA fragmentation. An rMDS-based machine learning classifier achieved AUC 0.89–0.99 across validation settings, with the highest accuracy post-treatment, outperforming PD-L1 expression and tumor fraction in matched samples. Predicted responders showed improved disease-free survival (log-rank P = 0.035; HR 2.67, 95% CI 1.03–6.92). CONCLUSION. rMDS represents a biologically meaningful, clinically actionable biomarker for immunotherapy response in HNSCC, supporting integration into future risk assessment frameworks. TRIAL REGISTRATION. ClinicalTrials.gov NCT02641093. FUNDING. NHGRI R56HG012360 and startup funds from Cincinnati Children’s Hospital Medical Center, Northwestern University, and Robert H. Lurie Comprehensive Cancer Center (Y.L.); Science Olympiad Alumni Research Grant, Science Olympiad USA Foundation (R.B.); Merck Sharp & Dohme Corp. (T.W.D.).

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Publication Details

Journal
Journal of Clinical Investigation
Published
2026-05-19
DOI
https://doi.org/10.1172/jci196284
Primary Topic
Cancer Genomics and Diagnostics
Type
article
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article

Genome-wide variation in cell-free DNA end motif entropy predicts immunotherapy response in head and neck cancer

John M. Kaczmar, De‐Chen Lin, Benjamin H. Hinrichs, L Wang et al.
Journal of Clinical Investigation
Cancer Genomics and Diagnostics
article

Genome-wide variation in cell-free DNA end motif entropy predicts immunotherapy response in head and neck cancer

John M. Kaczmar, De‐Chen Lin, Benjamin H. Hinrichs, L Wang, Mingxiang Teng, Shuchi Gulati, Hailu Fu, Haizi Zheng, Ravi Bandaru, MD Francis P. Worden, Jocelyn Liang, Neal E. Dunlap, Matthew O. Old, Dalia El-Gamal, David A. Hildeman, Maura L. Gillison, Trisha Wise Draper, Masha Kocherginsky, Yaping Liu, Bin Zhang
article en

Abstract

BACKGROUND. Minimally invasive biomarkers predicting immunotherapy response in head and neck squamous cell carcinoma (HNSCC) remain an unmet clinical need. METHODS. Using patients from a prospective, multi-institutional phase II trial, we performed whole-genome sequencing of 185 longitudinal plasma cell-free DNA (cfDNA) samples from 68 patients with locally advanced, surgically resectable HNSCC who received neoadjuvant and adjuvant pembrolizumab. We developed the regional motif diversity score (rMDS), a fragmentomic metric that quantifies the entropy of cfDNA 5′-end motifs across genomic regions. RESULTS. Unsupervised analysis showed rMDS robustly distinguished responders from non-responders, outperforming established fragmentomic metrics and copy number alterations while remaining independent of technical confounders. Longitudinal rMDS changes localized to regions enriched for immune-, lectin-, and keratinization-related genes — hallmarks of squamous cell carcinoma — reflecting tumor–peripheral immunity interplay during treatment. The most dynamic regions clustered at telomere-proximal loci, suggesting a link between telomere biology and cfDNA fragmentation. An rMDS-based machine learning classifier achieved AUC 0.89–0.99 across validation settings, with the highest accuracy post-treatment, outperforming PD-L1 expression and tumor fraction in matched samples. Predicted responders showed improved disease-free survival (log-rank P = 0.035; HR 2.67, 95% CI 1.03–6.92). CONCLUSION. rMDS represents a biologically meaningful, clinically actionable biomarker for immunotherapy response in HNSCC, supporting integration into future risk assessment frameworks. TRIAL REGISTRATION. ClinicalTrials.gov NCT02641093. FUNDING. NHGRI R56HG012360 and startup funds from Cincinnati Children’s Hospital Medical Center, Northwestern University, and Robert H. Lurie Comprehensive Cancer Center (Y.L.); Science Olympiad Alumni Research Grant, Science Olympiad USA Foundation (R.B.); Merck Sharp & Dohme Corp. (T.W.D.).

Journal of Clinical Investigation
Northwestern University (US), University of Southern California (US), Cincinnati Children's Hospital Medical Center (US), The University of Texas MD Anderson Cancer Center (US), University of Louisville (US), Medical University of South Carolina (US), Moffitt Cancer Center (US), Michigan Cancer Research Consortium (US), University of Louisville Hospital (US), The Ohio State University (US), University of Cincinnati (US), University of Cincinnati Medical Center (US)
Openalex Percentile: Top 6%
Cancer Genomics and Diagnostics
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