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An open-label, phase I trial of BI 754091 alone and in combination with BI 754111 in Asian patients (pts) with advanced solid tumors.

2020· article· en· W3029255798 on OpenAlexaff
Yoon‐Koo Kang, Kensei Yamaguchi, Do‐Youn Oh, Shunsuke Kondo, Yasutoshi Kuboki, Manabu Morimoto, Hiroki Hara, Sun Young Rha, Chia‐Chi Lin, Yoshifumi Tachibana, Miaomiao Ge, Mabrouk Elgadi, Shigehisa Kitano

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsBoehringer Ingelheim (Canada)
Fundersnot available
KeywordsMedicineInternal medicineClinical endpointResponse Evaluation Criteria in Solid TumorsCancerCohortGastroenterologyOncologyPhases of clinical researchSurgeryChemotherapyClinical trial

Abstract

fetched live from OpenAlex

3054 Background: Dual blockade of immune checkpoint molecules, PD-1 and LAG-3, may enhance the anti-tumor response versus PD-1 blockade alone. This Phase I trial investigated BI 754091, an anti-PD-1 antibody, as monotherapy and in combination with BI 754111, an anti-LAG-3 antibody, in Asian pts with advanced solid tumors. Methods: This trial comprised 3 parts. Parts 1 and 2 (dose escalation) were in pts with unresectable/metastatic solid tumors. In Part 1, pts received BI 754091 240 mg intravenously (iv), every 3 weeks (q3w); in Part 2, pts received BI 754091 240 mg in combination with BI 754111 (400 mg, 600 mg or 800 mg iv, q3w). Dose escalation was guided by a Bayesian logistic regression model, with overdose control. The primary endpoint in Parts 1 and 2 was maximum tolerated dose (MTD) of BI 754091 alone or in combination with BI 754111, based on dose-limiting toxicities (DLTs) in Cycle 1. In Part 3, BI 754091 240 mg plus BI 754111 600 mg q3w was assessed in 4 expansion cohorts. Cohorts A–C included pts with: A) gastric/esophagogastric junction cancer; B) esophageal cancer; C) hepatocellular cancer; all had received ≥1 line of prior systemic therapy and no prior anti-PD-(L)1 therapy. Cohort D included pts who had received prior anti-PD-(L)1 therapy for the tumor types in Cohorts A–C. The primary endpoint in Part 3 was objective response (confirmed complete response or partial response [PR] per RECIST 1.1). Results: In Part 1, 6 pts received BI 754091 240 mg. In Part 2, 9 pts received BI 754091 240 mg plus BI 754111 (400 mg/600 mg/800 mg; n = 3 per cohort). No DLTs were reported in Parts 1 and 2. In Part 3, 121 pts were treated (97 [80%] male, median age 61 years [range 23–80]); Cohorts A/B/C/D included 33/33/20/35 pts. All-grade adverse events (AEs) and treatment-related AEs (TRAEs) were experienced by 96 (79%) and 47 (39%) pts, respectively. The most commonly reported AEs (all/≥G3) were pyrexia (21%/0%), decreased appetite (17%/2%), anemia (11%/6%), and nausea (9%/0%). 36 (30%) pts reported immune-related AEs, most commonly hypothyroidism, in 7 (6%) pts. Confirmed PR was observed in 6 pts (5%; Cohort A/B, n = 4/2) and 35 (29%) pts had stable disease (Cohort A/B/C/D, n = 9/11/10/5). Conclusions: MTD was not reached for BI 754091 monotherapy or for BI 754091 in combination with BI 754111. The recommended dose for the combination was determined as BI 754091 240 mg plus BI 754111 600 mg q3w. Treatment was well tolerated and consistent with that observed in the global trial. Preliminary anti-tumor activity was seen. Clinical trial information: NCT03433898 .

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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.098
GPT teacher head0.473
Teacher spread0.375 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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