ImmunoOncology Kinetics (IO-KIN); Peripheral BioMarkers of Response to ICB in HNSCC Patients
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".