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Evaluation of immune-related response criteria (irRC) in patients (pts) with advanced melanoma (MEL) treated with the anti-PD-1 monoclonal antibody MK-3475.

2014· article· en· W2329810662 on OpenAlexaff
F. Stephen Hodi, Antoni Ribas, Adil Daud, Omid Hamid, Caroline Robert, Richard Kefford, Wen‐Jen Hwu, Tara C. Gangadhar, Anthony M. Joshua, Peter Hersey, Jeffrey S. Weber, Roxana Dronca, Andrea Perrone, Linda Gammage, Darcy A. Hille, Dahai Xue, Soonmo Peter Kang, Patrick Chun, Scot Ebbinghaus, Jedd D. Wolchok

Bibliographic record

VenueJournal of Clinical Oncology · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineInternal medicineOncology

Abstract

fetched live from OpenAlex

3006^ Background: Unique response patterns have been observed with immunotherapies, and both objective response and prolonged disease stabilization can occur after an initial increase in tumor size. irRC were developed to better characterize response to immunotherapy, but it is unclear how irRC perform in pts treated with PD-1 blockade. Here, we describe unique patterns of response to MK-3475 in MEL pts and evaluate irRC as an alternative criterion for comprehensive response assessment. Methods: Source population was pts from 3 MEL cohorts treated with MK-3475 2 mg/kg every 3 wk (Q3W), 10 mg/kg Q3W, or 10 mg/kg Q2W in a phase I trial. Tumor imaging was performed every 12 wk. Response was assessed by irRC and RECIST 1.1 by central review; irRC was used for pt management. Tumor flare and atypical delayed response were identified by using centrally assessed irRC data among pts on MK-3475 for ≥28 wk. Tumor flare was defined as unconfirmed PD at assessment 1 (ie, wk 12) and non-PD at assessment 2. Atypical delayed response was defined as PD at any time point followed by non-PD and then response. Survival data were analyzed in pts who had PD by RECIST but CR/PR/SD by irRC. Results: Among the 411 pts enrolled across the 3 MEL cohorts, 192 were on MK-3475 for ≥28 wk as of the analysis cut-off of 10/18/2013. Tumor flare was seen in 7 (3.6%) pts. In these pts, best overall response per irRC was CR (n = 1), PR (n = 4), and SD (n = 2). Atypical delayed response was seen in 6 (3.1%) pts. The 51 pts with PD by RECIST but CR/PR/SD by irRC had favorable OS compared with the 145 pts with PD by both criteria (Table). Conclusions: MEL pts treated with MK-3475 may experience unique patterns of response and should be managed accordingly. Similar to what has been observed with ipilimumab, conventional criteria such as RECIST may underestimate the benefit of MK-3475 in approximately 10% of treated pts. An updated version of response criteria that incorporate new data on PD-1 inhibitors may be appropriate for future consideration. Clinical trial information: NCT01295827. OS Rate 3 mo 6 mo 12 mo Pts with CR/PR/SD by RECIST and irRC (n = 215) 100% 98% 92% Pts with PD by RECIST but CR/PR/SD by irRC (n = 51) 100% 94% 67% Pts with PD by RECIST and irRC (n = 145) 79% 53% 34%

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)0.019
metaresearch head score (Gemma)0.004
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 score0.741
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.038
GPT teacher head0.395
Teacher spread0.356 · 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".

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Citations40
Published2014
Admission routes1
Has abstractyes

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