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Record W7114917296 · doi:10.24433/co.1437646.v1

ImmunoOncology Kinetics (IO-KIN); Peripheral BioMarkers of Response to ICB in HNSCC Patients

2025· other· en· W7114917296 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCode Ocean · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsNivolumabT-cell receptorPeripheralPeripheral bloodClinical trialProspective cohort study

Abstract

fetched live from OpenAlex

The IO-KIN study (NCT04606940) is a single-center, prospective trial involving 15 patients with R/M HNSCC treated with nivolumab or pembrolizumab. Blood samples (n=104) were collected across seven timepoints from baseline to day 29. ctDNA was analyzed using a personalized assay (Signatera), and peripheral TCR repertoires were profiled using CapTCR-seq in eight patients. A decline in ctDNA after day 8 was associated with radiological response, longer progression-free survival, and a trend toward improved overall survival. TCR repertoires transiently diversified between days 8-22, with longer diversification windows in patients showing sustained ctDNA decline. Using the GLIPHII algorithm, an EBV-specific TCR signature was identified and persisted in patients with clinical benefit. Additional TCR signatures, potentially recognizing tumor-associated antigens, emerged as early as day 3 and were linked to positive outcomes.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.274
Teacher spread0.265 · 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

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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