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Nivolumab plus relatlimab vs nivolumab alone for the adjuvant treatment of completely resected stage III–IV melanoma: Primary results from RELATIVITY-098.

2025· article· en· W4411027220 on OpenAlexaboutno aff
Georgina V. Long, Paolo A. Ascierto, Jun Guo, Sunandana Chandra, Ahmad A. Tarhini, Eva Muñoz‐Couselo, Michele Del Vecchio, Andréia Cristina de Melo, Helen Gogas, Reinhard Dummer, Margaret K. Callahan, Dirk Schadendorf, Peter Koelblinger, G. Quéreux, Ioannis Thomas, Alicia Cheong, Patrick Djidel, Sonia Dolfi, Hussein A. Tawbi

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNivolumabAdjuvantStage (stratigraphy)OncologyInternal medicineImmunotherapyCancer

Abstract

fetched live from OpenAlex

LBA9500 Background: NIVO + RELA fixed-dose combination (FDC), compared with NIVO alone, demonstrated a clinically meaningful benefit to progression-free survival (HR 0.79, 95% CI 0.66–0.95) and overall survival (OS; 0.80, 95% CI 0.66–0.99) after a 3-y follow-up, with a manageable safety profile in patients (pts) with untreated advanced melanoma (RELATIVITY-047). To address a current unmet need for more efficacious adjuvant regimens for completely resected melanoma, RELATIVITY-098 was designed to evaluate adjuvant NIVO + RELA FDC vs NIVO alone in pts after complete resection of stage III–IV melanoma (NCT05002569). Methods: In this phase 3, randomized, double-blind study, pts aged ≥ 12 years were stratified by AJCC v8 stage at screening (stage IIIA/IIIB vs IIIC vs IIID/IV) and geographic region (USA/Canada/Australia vs Europe vs rest of the world). Pts were randomized 1:1 to receive NIVO 480 mg + RELA 160 mg FDC or NIVO 480 mg every 4 weeks for a maximum of 1 year or until first recurrence, unacceptable toxicity, or withdrawal of consent. The primary endpoint was recurrence-free survival (RFS) by investigator; secondary endpoints included OS (key), distant metastasis-free survival (DMFS), and safety. Results: Pts randomized to NIVO + RELA (n = 547) vs NIVO alone (n = 546) had stage IIIA/B (38% vs 36%) or IIIC (49% vs 50%) disease; 80% vs 83% had cutaneous nonacral melanoma, 11% vs 10% had cutaneous acral, and 2% vs 1% had mucosal. Median duration of therapy was 11.0 mo for each arm. At a minimum follow-up of 23.4 mo, there was no statistical difference in RFS for NIVO + RELA vs NIVO (Table). The RFS outcome was generally consistent across stratification factors and prespecified subgroups. OS was not tested per the hierarchical testing strategy. There were 148 OS events (48% data maturity). DMFS was similar in both treatment groups (Table). Grade 3/4 treatment-related adverse events (TRAEs) occurred in 19% of pts treated with NIVO + RELA vs 8% with NIVO alone (compared with 22% vs 12% in RELATIVITY-047); any-grade TRAEs led to discontinuation of therapy in 17% vs 9% of pts, respectively. There were 2 treatment-related deaths with NIVO + RELA and 1 with NIVO. Conclusions: NIVO + RELA did not result in significant RFS improvement vs NIVO alone as adjuvant treatment for pts after complete resection of stage III–IV melanoma. The safety profile of NIVO + RELA in this setting was generally consistent with results from RELATIVITY-047. A robust biomarker analysis for the study is currently underway. Clinical trial information: NCT05002569 . NIVO + RELA NIVO RFS 24-mo rate, %(95% CI) 62.0(57.7–66.0) 63.6 (59.4–67.6) Median, mo (95% CI)(events/pts) NR (30.8–NR)(214/547) 33.1 (31.0–NR)(213/546) HR 1.01 (95% CI, 0.83–1.22) DMFS 24-mo rate, %(95% CI) 73.1(68.8–76.9) 76.3(72.3–79.9) Median, mo (95% CI)(events/pts) NR (NR–NR)(133/499) 33.1 (31.5–NR)(129/494) HR 1.07 (95% CI 0.84–1.36) HR, hazard ratio; NR, not reached.

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.097
GPT teacher head0.393
Teacher spread0.296 · 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 designRandomized 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".

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Citations7
Published2025
Admission routes1
Has abstractyes

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