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Record W4293565846 · doi:10.1016/j.jtocrr.2022.100400

BMS-986012, an Anti–Fucosyl-GM1 Monoclonal Antibody as Monotherapy or in Combination With Nivolumab in Relapsed/Refractory SCLC: Results From a First-in-Human Phase 1/2 Study

2022· article· en· W4293565846 on OpenAlexaff
Quincy S. Chu, Natasha B. Leighl, Veerle Surmont, Carla van Herpen, Anne Sibille, Ben Markman, Stephen Clarke, Rosalyn A. Juergens, Mirelis Acosta Rivera, Vladimir Andelkovic, Charles M. Rudin, Stephanie Snow, Dong‐Wan Kim, Michael Sanatani, Hongxia Lin, Kinjal Sanghavi, Sarah Tannenbaum-Dvir, Paul Basciano, Deanne Lathers, Katarzyna Urbańska, Georgia Kollia, Chunsheng He, Andrew DiPiero, Yu Liu, Neal Ready

Bibliographic record

VenueJTO Clinical and Research Reports · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsJuravinski Cancer CentreAlberta Health ServicesMcMaster UniversityPrincess Margaret Cancer CentreQueen Elizabeth II Health Sciences CentreUniversity of Alberta
FundersGenentechAstellas PharmaRegeneron PharmaceuticalsIpsenBeiGeneMerck KGaADaiichi Sankyo EuropeSanofiGlaxoSmithKlineAmgenPfizerAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsNivolumabMedicineAdverse effectCombination therapyInternal medicinePharmacokineticsRefractory (planetary science)OncologyConfidence intervalProgression-free survivalPhases of clinical researchClinical endpointGastroenterologyPharmacologyChemotherapyImmunotherapyCancerClinical trial

Abstract

fetched live from OpenAlex

Introduction: Fucosyl-GM1 is a monosialoganglioside with limited expression in healthy tissues and high expression on SCLC cells. BMS-986012 is a nonfucosylated, first-in-class, fully human immunoglobulin G1 monoclonal antibody that binds to fucosyl-GM1. Methods: CA001-030 is a phase 1/2, first-in-human study of BMS-986012 as monotherapy or in combination with nivolumab for adults with relapsed or refractory SCLC. Safety is the primary end point. Additional end points include objective response rate, duration of response, progression-free survival, pharmacokinetics, and overall survival. Results: Patients (BMS-986012 monotherapy, n = 77; BMS-986012 + nivolumab, n = 29) were predominantly of male sex (58%), 63 years old (mean), current or past tobacco users (97%), and treated previously with first-line systemic therapy (99%). The most common treatment-related adverse event was pruritus (n = 95 [90%]). Grade 4 treatment-related adverse events were reported in 2% (n = 2) of patients. The objective response rate (95% confidence interval [CI]) was higher with BMS-986012 plus nivolumab (38% [20.7%-57.7%]) than with monotherapy (4% [0.8%-11.0%]). Median (95% CI) duration of response with BMS-986012 plus nivolumab was 26.4 (4.4-not reached) months. Progression-free survival (95% CI) at 24 weeks with monotherapy and BMS-986012 plus nivolumab was 12.2% (6.0%-20.7%) and 39.3% (21.7%-56.5%), respectively. The pharmacokinetics profile of monotherapy and BMS-986012 plus nivolumab suggested dose proportionality across the tested dose range. Median overall survival (95% CI) with monotherapy and BMS-986012 plus nivolumab was 5.4 (4.0-7.3) and 18.7 (8.2-37.3) months, respectively. Conclusions: BMS-986012 in combination with nivolumab represents a well-tolerated, potential new therapy for relapsed or refractory SCLC. BMS-986012 is currently being explored in combination with carboplatin, etoposide, and nivolumab as a first-line therapy in extensive-stage SCLC (NCT04702880).

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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.080
GPT teacher head0.467
Teacher spread0.387 · 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

Citations16
Published2022
Admission routes1
Has abstractyes

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