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Safety, efficacy, and PKPD of 23ME-00610, a first-in-class anti-CD200R1 antibody, in patients with advanced or metastatic ovarian cancer: Results from a multi-center multi-country phase 1/2a expansion cohort.

2024· article· en· W4399380628 on OpenAlexaff
Ali Raza Khaki, Albiruni Ryan Abdul Razak, Scott A. Laurie, Ching-Chang Hwang, Anh Nguyet Diep, Maike Schmidt, Roo Vold, Sophia R. Majeed, Dylan M. Glatt, Julie Krystal

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsOttawa HospitalUniversity of OttawaPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineOvarian cancerOncologyAntibodyCancerInternal medicineClass (philosophy)PharmacologyImmunologyArtificial intelligence

Abstract

fetched live from OpenAlex

5575 Background: 23ME-00610 is being evaluated in a Phase 1/2a clinical trial in patients with advanced solid malignancies (NCT05199272) and has demonstrated an acceptable safety and tolerability profile, with favorable PK and peripheral CD200R1 saturation. Here, we report data from the ovarian cancer Phase 2a expansion cohort for the first time. Methods: Eligible patients had histologically diagnosed locally advanced (unresectable) or metastatic platinum-resistant epithelial ovarian, fallopian tube, or peritoneal carcinoma who have progressed on standard therapies. Key exclusion criteria included active autoimmune disease requiring immunosuppressive therapy, and Grade ≥ 3 immune-mediated toxicity related to prior immunotherapy that led to discontinuation. The primary objective was evaluation of clinical antitumor activity. Exploratory biomarkers included CD200R1 and CD200 tumor expression by IHC in archival tissue, germline genotyping, and polygenic risk score calculation for immune-mediated and cancer-susceptibility phenotypes. At least 15 patients were accrued to characterize target-specific biomarkers and efficacy. Patients received 1400 mg given IV every 3 weeks until disease progression, and CT/MRI scans were conducted every ~ 8 weeks. Results: Between March 27 and October 23, 2023, 15 patients with advanced ovarian cancer (86.7% stage IV, age: 34 to 76), who received a median of 4 prior treatment lines (range: 1 to 12), were enrolled and received ≥ 1 dose of 23ME-00610. Median exposure was 29 days (range: 1 – 126 days), and 12 patients (80%) had disease progression by the December 13, 2023 data cutoff. In the 14 efficacy evaluable patients, investigator assessed stable disease rate was 7.1% (N=1) and median progression free survival (mPFS) was 1.5 months (median potential follow-up time was 4.3 mo). At least 1 treatment emergent adverse event (TEAE) was reported by all patients (N=15). Related TEAEs occurred in 7 patients (46.7%); most were G1 (13.3%) and G2 (26.7%), and the most common were maculopapular rash (13.3%) and pruritus (13.3%). Immune related TEAEs were G1 (13.3%) and G2 (13.3%) and included pruritus (13.3%), rash and hypothyroidism (6.7% each). 15 serious adverse events (TESAEs) that are commonly seen for ovarian cancer were reported in 5 patients (33.3%), including G3 deep vein thrombosis and G4 pneumonia (6.7% each). No G5 or TEAEs leading to 23ME-00610 discontinuation were reported. 1400 mg dose resulted in full peripheral target engagement and minimal treatment-emergent ADA. Conclusions: 23ME-00610 continues to show encouraging PKPD and acceptable safety, but only modest disease control in unselected advanced ovarian cancer patients. Phase 2a expansion trials of 23ME-00610 utilizing retrospective biomarker analyses are ongoing in multiple indications. Clinical trial information: NCT05199272 .

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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.081
GPT teacher head0.477
Teacher spread0.395 · 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
Published2024
Admission routes1
Has abstractyes

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