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Record W2896068855 · doi:10.1093/annonc/mdy288.114

Phase I study of BI 754111 (anti-LAG-3) plus BI 754091(anti-PD-1) in patients (pts) with advanced solid cancers, followed by expansion in pts with microsatellite stable metastatic colorectal cancer (mCRC), anti-PD-(L)1-pretreated non-small cell lung cancer (NSCLC) and other solid tumors

2018· article· en· W2896068855 on OpenAlexaffabout
Melissa L. Johnson, Manish R. Patel, Susanna V. Ulahannan, Aaron R. Hansen, Ben George, Quincy S. Chu, M. Elgadi, Miaomiao Ge, Christine Duffy, Ralph Graeser, Sheetal Khedkar, Suzanne F. Jones, Howard A. Burris

Bibliographic record

VenueAnnals of Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsBoehringer Ingelheim (Canada)University of AlbertaPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineTolerabilityResponse Evaluation Criteria in Solid TumorsMicrosatellite instabilityBlockadeInternal medicineColorectal cancerOncologyCancer researchCancerPhases of clinical researchReceptorClinical trialAdverse effectBiologyMicrosatellite

Abstract

fetched live from OpenAlex

Background: Lymphocyte-activation gene 3 (LAG-3) is a negative regulator of immune response implicated in T cell exhaustion and tumor immune escape. Available data demonstrate that tumor-derived T cells frequently co-express the PD-1 and LAG-3 co-inhibitory receptors and that dual blockade of the LAG-3 and PD-1 pathways results in more potent reactivation of T-cell function and anti-tumor immune response than blockade of the individual pathway. BI 754091 and BI 754111 are monoclonal IgG4Pro antibodies (mAbs) against PD-1 and LAG-3, respectively. In this Phase I study, we investigate the safety, tolerability, PK, and preliminary efficacy of the combination of these 2 mAbs. Trial design: This 2-part, open-labeled, non-randomized ongoing study consists of dose escalation in pts with advanced solid tumors followed by expansion cohorts in pts with NSCLC, microsatellite stable (MSS) mCRC, or any PD-1/PD-L1 pretreated solid tumor with high tumor mutational burden (TMB-H) and/or high microsatellite instability and/or DNA mismatch repair deficiency (MSI-H/MMRd). Dose escalation in pts with solid tumors started at 4mg q3w BI 754111 and was guided by Bayesian Logistic Regression Method. All dose levels of BI 754111 were co-administered with 240 mg q3w BI 754091 (the BI 754091 RPIID selected from 1381.1 phase I [Johnson, et al. ASCO-SITC 2017 abstract 212]). Enrollment in the solid tumor dose escalation portion is nearly complete. The expansion phase will use a combination dose selected from the solid tumor dose escalation. Primary endpoints in the dose escalation are the number of pts with dose-limiting toxicities and the combination MTD. The primary endpoint of the dose expansion portion is the objective response rate. Clinical trial identification: NCT03156114. Legal entity responsible for the study: Boehringer Ingelheim Pharmaceuticals, Inc. Funding: Boehringer Ingelheim Pharmaceuticals, Inc. Disclosure: M. Elgadi: Employee: Boehringer Ingelheim (Canada) Ltd./Ltee. M. Ge, C. Duffy: Employee: Boehringer Ingelheim Pharmaceuticals, Inc. R. Graeser: Employee: Boehringer Ingelheim Pharma GmbH & Co. KG. All other authors have declared no conflicts of interest.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.351
Teacher spread0.327 · 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

Citations4
Published2018
Admission routes2
Has abstractyes

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