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Record W4310370069 · doi:10.1016/j.ebiom.2022.104373

Immune-based classification of HPV-associated oropharyngeal cancer with implications for biomarker-driven treatment de-intensification

2022· article· en· W4310370069 on OpenAlexafffund
Peter YF. Zeng, Matthew J. Cecchini, John W. Barrett, Matthew Shammas‐Toma, Loris De Cecco, Mara Serena Serafini, Stefano Cavalieri, Lisa Licitra, Frank Hoebers, Ruud H. Brakenhoff, C. René Leemans, Kathrin Scheckenbach, Tito Poli, Xiaowei Wang, Xinyi Liu, Francisco Laxague, Eitan Prisman, Catherine F. Poh, Pinaki Bose, Joseph C. Dort, Mushfiq Hassan Shaikh, Sarah E.B. Ryan, Alice Dawson, Mohammed Imran Khan, Christopher J. Howlett, William Stecho, Paul Plantinga, Sabrina Daniela da Silva, Michael Hier, Halema Khan, Danielle MacNeil, Adrian Mendez, John Yoo, Kevin Fung, Pencilla Lang, Eric Winquist, David A. Palma, Hedyeh Ziai, Antonio L. Amelio, Shawn Li, Paul C. Boutros, Joe S. Mymryk, Anthony C. Nichols

Bibliographic record

VenueEBioMedicine · 2022
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsUniversity of TorontoUniversity of CalgaryMcGill UniversityUniversity of British ColumbiaVancouver General HospitalWestern University
FundersNational Institute of Dental and Craniofacial ResearchCanadian Institutes of Health ResearchFondazione Italiana per la Ricerca sul CancroEuropean CommissionAssociazione Italiana per la Ricerca sul CancroPhysicians' Services Incorporated FoundationNational Cancer InstituteNational Institutes of HealthYale University
KeywordsBiomarkerImmune systemCancerMedicineImmunologyOncologyBiologyInternal medicineGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: OPSCC patients. METHODS: We created an immune score (UWO3) associated with survival outcomes in six independent cohorts comprising 906 patients, including blinded retrospective and prospective external validations. Two aggressive radiation de-escalation cohorts were used to assess the ability of UWO3 to identify patients who recur. Multivariate Cox models were used to assess the associations between the UWO3 immune class and outcomes. FINDINGS: ) and mixed (HR = 6.4, 95% CI: 2.2-18.7, P = 0.006) groups after adjusting for age, sex, smoking status, and AJCC8 clinical stage. Finally, UWO3 was able to identify patients from two small treatment de-escalation cohorts who remain disease-free after aggressive de-escalation to 30 Gy radiation. INTERPRETATION: OPSCC based on robust outcome prediction across six independent cohorts. Prospective de-escalation and intensification clinical trials are currently being planned. FUNDING: CIHR, European Union, and the NIH.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.355
Teacher spread0.285 · 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 teacher head, 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

Citations38
Published2022
Admission routes2
Has abstractyes

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