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Record W4281829220 · doi:10.1093/neuonc/noac079.301

IMMU-08. Nivolumab with or without ipilimumab in pediatric patients with high-grade CNS malignancies: efficacy, safety, biomarker, and pharmacokinetic results from Checkmate 908

2022· article· en· W4281829220 on OpenAlexaff
Ira J. Dunkel, Kenneth J. Cohen, Nicholas K. Foreman, Darren Hargrave, Álvaro Lassaletta, Nicolás André, Jordan R. Hansford, Tim Hassall, Matthias Eyrich, Sridharan Gururangan, Ute Bartels, Amar Gajjar, Lisa Howell, Deepti Warad, Misena Pacius, Rachel Tam, Yu Wang, Li Zhu, François Doz

Bibliographic record

VenueNeuro-Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineNivolumabIpilimumabInternal medicineOncologyCancerImmunotherapy

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Limited data exist regarding checkpoint inhibitor efficacy for pediatric CNS malignancies. METHODS: CheckMate 908 is an open-label, sequential-arm, phase 1b/2 study investigating nivolumab (NIVO) and NIVO + ipilimumab (IPI) in 5 cohorts of pediatric patients previously treated with standard-of-care (NCT03130959). Patients received NIVO-3mg/kg Q2W or NIVO-3mg/kg + IPI-1mg/kg Q3W (4 doses) followed by NIVO-3mg/kg Q2W. Primary endpoints included OS (newly diagnosed DIPG) and PFS (other CNS cohorts); secondary endpoints included other efficacy metrics/safety. Exploratory endpoints included pharmacokinetics/biomarker analyses. Comparisons between treatments/cohorts were not planned. RESULTS: At data cutoff (13-Jan-2021), 166 patients received NIVO (n=85) or NIVO+IPI (n=81) at median (m) ages of 10.0yrs (range, 1-21) and 11.0yrs (1-21), respectively. In newly diagnosed DIPG, mOS (80% CI) was 11.7mos (10.3-16.5) with NIVO (n=23) and 10.8mos (9.1-15.8) with NIVO+IPI (n=22). In recurrent/progressive HGG, mPFS (80% CI) was 1.7mos (1.4-2.7) with NIVO (n=16) and 1.3mos (1.2-1.5) with NIVO+IPI (n=15). In relapsed/resistant medulloblastoma, mPFS (80% CI) was 1.4mos (1.2-1.4) with NIVO (n=15) and 2.8mos (1.5-4.5) with NIVO+IPI (n=15). In relapsed/resistant ependymoma, mPFS (80% CI) was 1.4mos (1.4-2.6) with NIVO (n=12) and 4.6mos (1.4-5.4) with NIVO+IPI (n=10). In other recurrent/progressive CNS tumors, mPFS (95% CI) was 1.2mos (1.1-1.3) with NIVO (n=19) and 1.6mos (1.3-3.5) with NIVO+IPI (n=19). Median treatment duration was 2.1mos (range, 0-41.7+ [NIVO]/0-29.6+ [NIVO+IPI]). Grade 3/4 treatment-related AEs occurred in 14.1% (NIVO) and 27.2% (NIVO+IPI) of patients. NIVO and IPI first dose trough concentrations were lower in youngest and lowest-weight patients. Baseline tumor PD-L1 expression was not associated with survival. Tumor mutational burden was high in 1 patient (NIVO+IPI) with HGG (OS=11.0mos). CONCLUSIONS: NIVO±IPI demonstrated no clinical benefit in pediatric patients with high-grade CNS malignancies, consistent with available historical data. The safety profiles were manageable.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.274
Teacher spread0.257 · 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 designNon-randomized trial
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

Citations3
Published2022
Admission routes1
Has abstractyes

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