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Record W4417016543 · doi:10.1182/blood-2025-5524

A first-in-human Phase 1 trial of LY4152199, a B-cell activation factor receptor (BAFF-R) T-cell engager bispecific antibody, in patients with previously treated B-cell malignancies (BAF_FRontier-1 Trial in Progress)

2025· article· en· W4417016543 on OpenAlexaff
Krish Patel, Jennifer L. Crombie, Tycel Phillips, Michael Dickinson, Toby A. Eyre, Chan Y. Cheah, Stephen J. Schuster, Nirav N. Shah, Georg Lenz, Laurie H. Sehn, Donald E. Tsai, Erica L. Johnston, Sonya C. Chapman, Hong‐Mei Han, Minna Balbas, Ching Ching Leow, Gilles Salles

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLymphomaFollicular lymphomaDosingMacroglobulinemiaIn vivoAntibodyWaldenstrom macroglobulinemiaChronic lymphocytic leukemiaToxicity

Abstract

fetched live from OpenAlex

Abstract Background: B-cell activating factor receptor (BAFF-R) is essential to B-cell development and survival and is highly expressed across a wide variety of B-cell malignancies. LY4152199 is a fully human BAFF-R×CD3 bispecific antibody using a common light chain on an effector-less IgG1 backbone that engages BAFF-R on the surface of B-cells and CD3 on the surface of T-cells, leading to T-cell mediated elimination of BAFF-R expressing B-cells. Preclinically, LY4152199 demonstrated potent and specific in vitro cytotoxicity and strong dose-dependent in vivo antitumor activity across B-cell tumor models with varying BAFF-R expression levels.1 Study Design and Methods: This is a first-in-human, global, open-label phase 1 trial of LY4152199 in patients (pts) with previously treated B-cell malignancies (NCT07101328). The study will be conducted in 2 parts: phase 1a dose escalation/dose optimization, and phase 1b dose expansion with planned enrollment of up to ~275 pts. Intravenous and subcutaneous administration will be explored in different cohorts. Dose escalation will follow the mTPI-2 method and will enroll pts with diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), small lymphocytic lymphoma (SLL), marginal zone lymphoma (MZL) and Waldenstrom macroglobulinemia (WM). During dose optimization, pts with de novo or transformed DLBCL will be randomized to at least 2 dose levels to determine the optimal biological dose. Cycle 1 (28 days) will involve accelerated step-up dosing from C1D1 to a target dose on C1D8; in subsequent cycles, the target dose will be administered once every 21 days. The dose limiting toxicity evaluation period will be 28 days. Pts who achieve a complete response will receive 15 cycles of LY4152199 and those with partial response (PR) or stable disease may receive an additional 15 cycles of LY4152199. Dose expansion will enroll the following pts: DLBCL, FL, mantle cell lymphoma (MCL), MZL, WM, chronic lymphocytic leukemia (CLL), SLL, or B-cell acute lymphoblastic leukemia (B-ALL). Pts must be ≥18 years of age with an ECOG performance status of 0-1. Key inclusion criteria include the presence of histologically confirmed relapsed/refractory measurable or assessable disease as defined by the respective diseases, failure or intolerance to at least 1 line of prior therapy, and adequate organ function. Key exclusion criteria include known central nervous system involvement, grade >2 (per CTCAE v5.0) unresolved toxicities from prior therapy, or cytopenias from prior CAR-T or bispecific therapy. In dose escalation, pts with known or suspected peripheral blood involvement by malignant cells with an absolute lymphocyte count of ≥5000 cells/µl are ineligible. Key objectives are to determine the safety, optimal biological dose, PK, and anticancer activity of LY4152199.1Yang W, et al. Blood. 2024,144(1):4511-20

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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.019
GPT teacher head0.305
Teacher spread0.286 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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