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Abstract PR10: A decade in the making: Screening ctDNA detection in HPV-associated HNSCC

2023· article· en· W4386784091 on OpenAlexaboutno aff
Shun Hirayama, Brian Y. Zhao, Saskia Naegele, Vasileios Efthymiou, Julia Mendel, Adam S. Fisch, Michael S. Lawrence, Viktor A. Adalsteinsson, A. John Iafrate, Dipon Das, Daniel L. Faden

Bibliographic record

VenueClinical Cancer Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsDigital polymerase chain reactionMedicineBiobankHead and neck squamous-cell carcinomaInternal medicineOncologyLiquid biopsyCancerHead and neck cancerBioinformaticsBiologyPolymerase chain reactionGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Introduction HPV-associated head and neck squamous cell carcinomas (HPV+HNSCC) release circulating tumor DNA (ctDNA), including ctHPVDNA, into the blood, which is detectable at the time of diagnosis in nearly all patients with HPV+HNSCC using droplet digital PCR (ddPCR)-based approaches. We have previously demonstrated proof of principle that using these approaches, ctHPVDNA is detectable in a minority of patients up to 3 years prior to diagnosis, suggesting HPV+HNSCC may be reliably detected many years prior to clinical detection when using more sensitive approaches. Here, we applied a custom whole genome hybrid-capture-based next generation sequencing (NGS) assay, termed HPVseek, to plasma samples collected years prior to HPV+HNSCC diagnosis to test this hypothesis. Method Plasma samples from 28 patients collected 1-11 years prior to HPV+HNSCC diagnosis were obtained from the Mass General Brigham Biobank, along with 1:1 age and gender matched controls. Cell free DNA was extracted and run on HPVseek and our existing ddPCR assay. Pre-existing cut-points for a positive result were applied. In cases where tissue blocks were available from the time of diagnosis, DNA was extracted and underwent HPVseek for confirmatory molecular fingerprinting of the virus. Result 19 of 28 patients (68%) had detectable ctHPVDNA with lead times ranging from 1.0 to 7.5 years. Of the 11 samples obtained between 1-3 years before diagnosis, 11(100%) were ctHPVDNA positive. All controls were negative. HPV genotype distribution in positive samples was: 16 (n=16), 35 (1), 56 (1), and 59 (1) in blood with genotypes matching clinical genotype testing in 27/28 cases. 11/28 (39%) were positive on ddPCR, all of which were also positive on NGS. Molecular fingerprinting of viral genomes revealed unique viral genomes in each case and matching viral genomes within paired blood and tissue blocks, ruling out contamination and demonstrating the same inciting virus pre-diagnosis to diagnosis. Seven patients had diagnostic and post-diagnostic blood samples available as part of our ongoing prospective ctHPVDNA studies, allowing continuous tracking of cancer status along a time of up to 12 years, providing a global picture of HPV+HNSCC. Conclusion Here we demonstrate that HPV+HNSCC is detectable in the blood as ctDNA >seven years prior to diagnosis, and was detectable in 100% of cases up to three years prior to diagnosis, using an ultrasensitive custom ctDNA NGS assay. Findings were orthogonally validated using molecular fingerprinting in tissue and blood. This study has broad implications for the field of liquid biopsy cancer screening, demonstrating perhaps the longest lead times ever reported for ctDNA detection prior to cancer clinical diagnosis and suggesting HPV+HNSCC could be screened for, detected, and potentially treated years before clinical cancer detection. Citation Format: Shun Hirayama, Brian Y. Zhao, Saskia Naegele, Vasileios Efthymiou, Julia Mendel, Adam Fisch, Michael S. Lawrence, Viktor Adalsteinsson, Anthony J. Iafrate, Dipon Das, Daniel L. Faden. A decade in the making: Screening ctDNA detection in HPV-associated HNSCC [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PR10.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.234
GPT teacher head0.551
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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