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

2024· article· en· W4399881164 on OpenAlexaff
Drew Rasco, Albiruni Ryan Abdul Razak, Ali Raza Khaki, Alexander I. Spira, Ching-Chang Hwang, Anh N. Diep, Maike Schmidt, Roo Vold, Sophia R. Majeed, Dylan M. Glatt

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineCohortAntibodyOncologyInternal medicineImmunology

Abstract

fetched live from OpenAlex

4129 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 neuroendocrine cancer Phase 2a expansion cohort for the first time. Methods: Eligible patients had histologically diagnosed locally advanced (unresectable) or metastatic neuroendocrine cancers who had 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 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 February 23 and November 7, 2023, 16 patients with advanced neuroendocrine neoplasms (87.5% Stage IV; 62.5% NEC, 25% pancreatic, 6.3% colorectal; age: 33 to 74), who received a median of 3.5 prior treatment lines (range: 1 to 10), were enrolled and received ≥ 1 dose of 23ME-00610. Median exposure was 43.5 days (range: 1 – 212 days), and 11 patients (69%) had disease progression by the December 13, 2023 data cutoff. In the 15 efficacy evaluable patients, investigator assessed stable disease rate was 46.7% (N=7) and median progression free survival (mPFS) was 2.1 months (median potential follow-up time was 6.3 mo); 4 patients (26.7%) had durable SD > 6 mo. At least 1 treatment emergent adverse event (TEAE) was reported by all patients (N=16). Related TEAEs occurred in 8 patients (50%); all were G1/G2, and the most common were maculopapular rash (18.8%), pruritus (18.8%), nausea (12.5%), and fatigue (12.5%). Immune related TEAEs were G1 (18.8%) and included maculopapular rash (18.8%) and pruritus (12.5%). No G4/G5 or TEAEs leading to 23ME-00610 discontinuation were reported. 1400 mg dose resulted in full peripheral saturation of CD200R1 and minimal treatment-emergent ADA. Conclusions: 23ME-00610 continues to show encouraging PKPD, safety, and disease control in a subset of unselected patients with advanced neuroendocrine cancers. Exploratory biomarker data warrant additional analyses to examine the potential for biomarker stratification on disease outcomes. Phase 2a expansion trials of 23ME-00610 utilizing retrospective biomarker analysis 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)0.002
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 score0.002
Threshold uncertainty score0.008

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.046
GPT teacher head0.443
Teacher spread0.397 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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