Tumour‐informed workflow to use ctDNA as a biomarker for risk of recurrence in head and neck cancer patients post‐treatment

Abstract Circulating tumour DNA (ctDNA) is a promising minimally invasive biomarker for monitoring treatment response in cancer patients. In this study, we developed a tumour‐informed workflow to enhance the detection of recurrence in head and neck cancer (HNC) patients, addressing challenges of low ctDNA tumour fractions and heterogeneity. Patient‐derived tumour tissues ( N = 12), peripheral blood cells, and 41 blood samples at baseline and post‐treatment (3, 6, 12 and 24 months) were collected. Tumoral DNA and germline DNA underwent whole exome sequencing to identify somatic mutations, enabling the creation of individualized assays targeting up to 150 variants per patient. Supernatants from two HNC cell lines (CAL27 and SCC15) were used to evaluate assay sensitivity, which detected ctDNA levels as low as 2 parts in 100,000. Baseline ctDNA was detectable in all patients (100%, 12/12). While baseline ctDNA mutations did not predict outcomes, post‐treatment ctDNA strongly correlated with disease progression. A ctDNA threshold of 1 part in 10,000 distinguished relapse events from non‐relapse cases. Patients with ctDNA positivity at 3‐ and 6‐month follow‐ups had poorer event‐free survival. Our tumour‐informed ctDNA workflow demonstrates high analytical sensitivity and specificity, offering a transformative approach for HNC management by enabling treatment de‐escalation based on precise response measurements.

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Publication Details

Journal
Open Research (University of Surrey)
Published
2025-09-25
DOI
https://doi.org/10.1002/viw.20250112
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.94

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article

Tumour‐informed workflow to use ctDNA as a biomarker for risk of recurrence in head and neck cancer patients post‐treatment

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1 citations
Open Research (University of Surrey)
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article

Tumour‐informed workflow to use ctDNA as a biomarker for risk of recurrence in head and neck cancer patients post‐treatment

Jonathan J. Ellis, Mhairi Clout, Paul Leo, Chamindie Punyadeera, Liz Kenny, Brett Hughes, J. Lynn Fink, Sarju Vasani, Xiaomin Huang
article en
1 citations

Abstract

Abstract Circulating tumour DNA (ctDNA) is a promising minimally invasive biomarker for monitoring treatment response in cancer patients. In this study, we developed a tumour‐informed workflow to enhance the detection of recurrence in head and neck cancer (HNC) patients, addressing challenges of low ctDNA tumour fractions and heterogeneity. Patient‐derived tumour tissues ( N = 12), peripheral blood cells, and 41 blood samples at baseline and post‐treatment (3, 6, 12 and 24 months) were collected. Tumoral DNA and germline DNA underwent whole exome sequencing to identify somatic mutations, enabling the creation of individualized assays targeting up to 150 variants per patient. Supernatants from two HNC cell lines (CAL27 and SCC15) were used to evaluate assay sensitivity, which detected ctDNA levels as low as 2 parts in 100,000. Baseline ctDNA was detectable in all patients (100%, 12/12). While baseline ctDNA mutations did not predict outcomes, post‐treatment ctDNA strongly correlated with disease progression. A ctDNA threshold of 1 part in 10,000 distinguished relapse events from non‐relapse cases. Patients with ctDNA positivity at 3‐ and 6‐month follow‐ups had poorer event‐free survival. Our tumour‐informed ctDNA workflow demonstrates high analytical sensitivity and specificity, offering a transformative approach for HNC management by enabling treatment de‐escalation based on precise response measurements.

Open Research (University of Surrey)
Griffith University (AU), Translational Research Institute (AU), The University of Queensland (AU), Royal Brisbane and Women's Hospital (AU), Cancer Care Services (US)
Cancer Australia, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 20%
Cancer Genomics and Diagnostics
0.94
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