MétaCan
Menu
← Back to cohort

Abstract PO-046: Relationship of HPV16 E6 seropositivity with circulating tumor tissue modified HPV DNA before head and neck cancer diagnosis

2023· article· en· W4386784328 on OpenAlexaboutno aff
Eleni M. Rettig, Tim Waterboer, Edward S. Sim, Daniel L. Faden, Glenn J. Hanna, Catherine Del Vecchio Fitz, Charlotte Kuperwasser, Hervé Sroussi

Bibliographic record

VenueClinical Cancer Research · 2023
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSerologyCancerIncidence (geometry)BiomarkerHead and neck cancerOncologyPopulationInternal medicineAntibodyMultiplexDiseaseAntigenPathologyImmunologyBioinformaticsBiology

Abstract

fetched live from OpenAlex

Abstract Importance: Given the increased incidence of HPV-positive oropharyngeal carcinoma (OPC) in recent decades, identifying minimally invasive biomarkers for early diagnosis is essential to decreasing disease- and treatment-related morbidity. Two such biomarkers, circulating tumor HPV DNA (ctHPVDNA) and HPV16 E6 seropositivity, are highly sensitive and specific for HPV-positive OPC. We recently reported detection of tumor tissue modified viral (TTMV) HPV16 DNA – a ctHPVDNA assay designed to detect HPV DNA derived from tumors – in blood collected several years before HPV16-positive OPC diagnosis. E6 seropositivity has been demonstrated several decades before diagnosis and is under consideration as a screening biomarker in high-incidence populations. The two biomarkers have not been compared in the prediagnostic setting. Objective: Compare pre-diagnostic HPV16 early antigen seropositivity and TTMV-HPV16 DNA detection to understand their temporal relationship with respect to clinical disease manifestation. Methods: Participants in the Mass General Brigham Biobank hospital-based cohort research study with available blood samples collected ≥6 months before diagnosis were selected. Tumor and plasma TTMV-HPV DNA testing was performed by Naveris (Natick MA). Cases were included for plasma testing only if TTMV-HPV DNA from HPV types 16/18/31/33/35 was detected in tumor tissue. Plasma was tested for antibodies to HPV16 antigens E1, E2, E4, E6 and E7 using multiplex serology by the German Cancer Research Center. Results: The study population comprised of 9 cases of HPV16-positive HNCs, 7 with OPCs and 2 with lateral tongue tumors, and 45 matched controls. Most cases were male (8/9) and all were white, with median age 70 (range, 51-93). Plasma was collected median 34 months (range, 19-76 months) before diagnosis. HPV16 E6 seropositivity was observed in 6/9 HNC cases, all of which were OPCs. Two controls were HPV16 E6 seropositive. Upon updated medical record review, one of these E6 seropositive controls had been diagnosed with HPV-positive OPC in the interim between study initiation and data analysis, 18 months after control cohort selection and 63 months after blood collection. When this control subject was included as an HPV-positive OPC case, prediagnostic E6 seropositivity was observed in 7/10 HNC cases and 7/8 OPC cases. TTMV-HPV16 DNA was detected in plasma from 3/10 HNC cases, all 3 of which were OPCs that were seropositive for ≥4 HPV16 early antigens, including E6. In contrast, among the 7 cases with undetectable TTMV-HPV16 DNA, only 1 was seropositive for ≥4 antigens. Conclusion: The higher prediagnostic prevalence of HPV16 E6 seropositivity than TTMV-HPV16 DNA detection suggests that E6 seroconversion occurs before tumor DNA is shed into circulation at detectable levels. Our data suggest that TTMV-HPV16 DNA testing may be a reasonable component of investigating HPV16 E6 seropositive individuals who are at risk for HPV-positive OPC. Citation Format: Eleni M. Rettig, Tim Waterboer, Edward S. Sim, Daniel L. Faden, Glenn J. Hanna, Catherine Del Vecchio Fitz, Charlotte Kuperwasser, Herve Sroussi. Relationship of HPV16 E6 seropositivity with circulating tumor tissue modified HPV DNA before head and neck cancer diagnosis [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 PO-046.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.000
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.311
GPT teacher head0.535
Teacher spread0.224 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueClinical Cancer Research→Same topicHead and Neck Cancer Studies→French-language works237,207→