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Results of a first-in-human phase I study of SRF231, a fully human, high-affinity anti-CD47 antibody.

2020· article· en· W3031292296 on OpenAlexaff
Amita Patnaik, Anna Spreafico, Alison M. Paterson, Marisa O. Peluso, Jou-Ku Chung, Beth Bowers, Demi Niforos, Alison M. O'Neill, Muralidhar Beeram, Marco Iafolla, Julia Lester, Alison M. Schram

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineDosingNeutropeniaPharmacodynamicsPharmacokineticsAdverse effectInternal medicineCmaxAntibodyAnemiaOncologyLeukopeniaPharmacologyGastroenterologyToxicityImmunology

Abstract

fetched live from OpenAlex

3064 Background: CD47 is a transmembrane protein that acts as a “Don’t Eat Me” signal to evade immune recognition. It is overexpressed in multiple cancer subtypes and is associated with poor prognosis. SRF231 is an investigational, fully human, high-affinity CD47-targeting antibody that delivers an activating signal to myeloid cells and displays favorable preclinical characteristics regarding its receptor occupancy/tumor exposure/efficacy relationship. Methods: In a Phase 1 study, SRF231-101 (NCT03512340), patients with advanced solid and hematologic malignancies who had failed standard therapy were enrolled in dose escalation cohorts (accelerated single-patient followed by standard 3+3) to establish the preliminary safety of SRF231 as a monotherapy and identify a dose and schedule suitable for expansion. In addition to collection of safety data, clinical outcomes were evaluated based on Response Evaluation Criteria in Solid Tumors (RECIST v1.1) and SRF231 pharmacokinetic (PK) and pharmacodynamic (receptor occupancy) analyses were performed. Results: As of January 11, 2020, a total of 46 patients were enrolled, 25 in every-3-week intravenous (IV) dosing schedules and 21 in weekly IV dosing schedules. Weekly dosing schedules also explored the use of a 1.0 mg/kg initiation dose. Other than one patient with recurrent follicular lymphoma, all patients had recurrent/refractory solid tumors. The most common treatment emergent adverse events across dosing schedules were low-grade fatigue (43%), headache (35%), and pyrexia (30%). On every-3-week dosing schedules, 2 dose-limiting toxicities (DLTs) were observed: Grade 3 febrile neutropenia and Grade 3 hemolysis, both at a 12.0 mg/kg dose level. On weekly dosing schedules, 3 DLTs were observed: Grade 4 thrombocytopenia (6.0 mg/kg), Grade 4 amylase and lipase increased (4.0 mg/kg with initiation dose), and Grade 3 fatigue (4.0 mg/kg). The maximum tolerated dose was 9.0 mg/kg on an every-3-week and 4.0 mg/kg on a weekly schedule. Receptor occupancy was maintained at > 90% throughout the dosing period with a 4.0 mg/kg weekly dose schedule. Out of 37 patients who were response evaluable by RECIST, there were no complete or partial responders, although prolonged stable disease has been observed. Conclusions: Preliminary data from a Phase 1 study of SRF231, an anti-CD47 antibody, demonstrate that SRF231 may be administered safely and doses of 4.0 mg/kg weekly maintain > 90% receptor occupancy throughout the dosing period. Updated safety data, clinical outcomes, and PK/pharmacodynamic data will be presented. Clinical trial information: NCT03512340 .

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)0.003
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 score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.002

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 head0.137
GPT teacher head0.467
Teacher spread0.329 · 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

Citations26
Published2020
Admission routes1
Has abstractyes

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