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619 First-in-class anti-CD200R1 antibody 23ME-00610 in patients with advanced solid malignancies: updated phase 1 results

2023· article· en· W4388048378 on OpenAlexaffabout
Drew Rasco, Albiruni Abdul Razak, Scott A. Laurie, Anh Diep, Dylan M. Glatt, Sophia R. Majeed, Shivaani Kummar

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2023
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsOttawa HospitalUniversity Health Network
Fundersnot available
KeywordsTolerabilityMedicineInternal medicineOncologyCancerCohortToxicityAdverse effect

Abstract

fetched live from OpenAlex

Background 23ME-00610 is a first-in-class anti-CD200R1 monoclonal antibody in Phase 2 clinical development for advanced solid malignancies that has been shown to rescue T cell function in preclinical studies. CD200R1 was identified as an immuno-oncology target from the 23andMe database, with pleiotropic causal variants that have opposing effect on risks for cancer and immune diseases, referred to as an IO signature, observed in 3 components in this pathway.1 Updated data from the completed dose escalation and PK/PD cohorts in the ongoing Phase 1/2a study of 23ME-00610 is reported. Methods Eligible participants were atleast 18 years with histologically diagnosed locally advanced or metastatic carcinoma or sarcoma who progressed on standard therapies with ECOG 0–1. Dose escalation consisted of accelerated titration cohorts followed by a 3+3 design and a PK/PD cohort at the highest dose levels. Participants received 23ME-00610 intravenously every 3 weeks (Q3W) until disease progression or unacceptable toxicity. The primary objectives were safety, tolerability and determination of the maximum tolerated dose (MTD)/recommended phase 2 dose (RP2D), with the MTD defined by dose limiting toxicities (DLTs) in the first 21 days following cycle 1. Results Between January 5th, 2022 and the May 15th, 2023 data cut-off date, 28 participants (14/14 male/female; age range: 21–80 years) received atleast 1 dose of 23ME-00610 across 7 dose levels ranging between 2mg to 1400mg (median [range]: 4 cycles [1–15]). There were no DLTs or treatment-related serious adverse events (TRSAEs), and the MTD was not reached. 19/28 (68%) participants experienced atleast 1 TRAE; majority were Grade 1 or 2. All grade TRAEs occurring in atleast 2 participants across all doses were nausea (14%), headache (11%), fatigue (11%), pruritus (11%), rash/maculo-papular rash (11%), arthralgia (11%), hypothyroidism (7%) and cough (7%). There was 1 Grade 3 TRAE of maculo-papular rash that led to treatment discontinuation. Of 27 response evaluable patients, 52% had stable disease with duration ranging from 8 weeks to 40 weeks. Tumor shrinkage was observed in 1 participant with pancreatic neuroendocrine cancer who progressed on standard therapies, with a maximum reduction of 19% in target lesions which remains ongoing at the Week 40 assessment. Preliminary data suggested no evidence of anti-drug antibody emergence following repeated 23ME-00610 administration. Plasma cytokines analyses are ongoing. Conclusions 23ME-00610 is well-tolerated with a manageable safety profile. The irAEs are consistent with 23ME-00610-mediated immune modulation. The data continue to support evaluation of 1400 mg 23ME-00610 Q3W (RP2D) in the ongoing Phase 2a. Acknowledgements Dr. Pam Farmer for providing pharmacovigilance support. Trial Registration NCT05199272 Reference 1. Fenaux J, Fang X, Huang YM, et al. 23ME-00610, a genetically informed, first-in-class antibody targeting CD200R1 to enhance antitumor T cell function. Oncoimmunology. 2023;12(1):2217737. Ethics Approval The study obtained approval from Advarra IRB (Pro00062976), Salus IRB (START2021.35), MD Anderson OHRP IRB (2021–0888), Oregon Health & Science University IRB (STUDY00023966) and Ontario Cancer Research Ethics Board (3953). All study participants provided informed consent for the study.

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)0.002
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.016
GPT teacher head0.300
Teacher spread0.284 · 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
Published2023
Admission routes2
Has abstractyes

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