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An open-label, phase I trial of the SIRPα monoclonal antibody, BI 770371, alone and in combination with the PD-1 inhibitor ezabenlimab in patients with advanced solid tumors.

2025· article· en· W4410804815 on OpenAlexaff
Judy S. Wang, Noboru Yamamoto, Martin Gutierrez, Toshihiko Doi, Gunther Kretschmar, Lena Herich, Javiera Ferrada, Rahima Jamal

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineMonoclonal antibodySolid tumorCancer researchAntibodyOncologyInternal medicineCancerImmunology

Abstract

fetched live from OpenAlex

2515 Background: The signal regulatory protein alpha (SIRPα)/CD47 axis is a critical regulator of myeloid cell activation and serves as a myeloid-specific immune checkpoint, making it a potential therapeutic target. The pan-specific SIRPα monoclonal antibody, BI 770371, blocks the SIRPα/CD47 interaction, leading to reactivation of innate antitumor immune responses. This Phase I trial (NCT05327946) aimed to determine the maximum tolerated dose (MTD) and recommended dose for expansion of BI 770371 ± ezabenlimab in patients (pts) with advanced solid tumors. Methods: Pts with ≥1 measurable lesion and ECOG PS of 0/1 were enrolled. Pts received escalating doses ofBI 770371 alone or in combination with ezabenlimab 240 mg once every 3 weeks. Treatment continued until progressive disease, unacceptable toxicity, or pt withdrawal. BI 770731 dose escalation was guided by a Bayesian Logistic Regression Model with overdose control. Primary endpoint was dose-limiting toxicities (DLTs) in the MTD evaluation period (Days 1–21). Secondary endpoints were adverse events (AEs) and DLTs in the on-treatment period. Results: At data cut-off (Nov 22, 2024), 21 pts had received BI 770371 monotherapy across 6 dose levels, and 15 pts had received BI 770371 in combination with ezabenlimab (combination group) across 5 dose levels. In the monotherapy group, median age was 63 years (range: 26–77) and 95% of pts had received ≥3 prior lines of therapy. In the combination group, median age was 61 years (range: 27–78), and 80% had received ≥3 prior therapies. No DLTs were reported during the MTD evaluation period with BI 770371 monotherapy or with the combination; 1 pt in the monotherapy group had a DLT (grade 2 encephalitis, which resolved within 1 week) during the on-treatment period (likely due to prior nivolumab and ipilimumab treatment). In total, 14 (67%) and 10 (67%) pts in the monotherapy and combination groups, respectively, had a treatment-related AE (TRAE). Most common TRAEs with BI 770371 monotherapy were pruritus (24%) and fatigue (19%). Most common TRAEs with the combination were fatigue and decreased appetite (each 20%). Most TRAEs were grade 1/2, one pt in the combination group had two grade 3 TRAEs (diarrhea and fatigue); there were no grade 4/5 TRAEs. Two suspected unexpected serious adverse reactions were seen: grade 2 encephalitis (monotherapy) and grade 3 diarrhea (combination). One pt had an AE leading to discontinuation (grade 2 encephalitis). One pt in the combination group had a partial response; 13 (62%) and 8 (53%) pts in the monotherapy and combination groups, respectively, had stable disease. Conclusions: These preliminary data indicate that BI 770371 is well tolerated alone and in combination with ezabenlimab, with promising antitumor activity seen in heavily pretreated pts with advanced solid tumors. The MTD of BI 770371 was not reached in either group. Clinical trial information: NCT05327946 .

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.039
GPT teacher head0.424
Teacher spread0.384 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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