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Abstract CT035: Safety, preliminary efficacy and pharmacodynamic (PD) analysis of maveropepimut-S, intermittent low-dose cyclophosphamide and pembrolizumab in patients with advanced, metastatic bladder cancer

2022· article· en· W4282977080 on OpenAlexaff
Olivier Rixe, Vincent Castonguay, Henry Jacob Conter, Eva Chalas, Pratibha Desai, Christian Squillante, Lisa A. MacDonald, Rebekah Conlon, Yogesh Bramhecha, Heather A. Hirsch, Jeremy R. Graff, Stephan Fiset

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsUniversité du QuébecWilliam Osler Health SystemUniversité Laval
Fundersnot available
KeywordsPembrolizumabMedicineInternal medicineCyclophosphamideCancerOncologyImmunotherapySurvivinBladder cancerCD8Immune systemChemotherapyImmunology

Abstract

fetched live from OpenAlex

Abstract Background: Maveropepimut-S (MVP-S) is a novel immunotherapeutic that educates a specific CD8 T cell response to the cancer antigen, survivin, to orchestrate immune-mediated elimination of survivin-expressing cancer cells. Specifically, MVP-S is a lipid-in-oil formulation of the DPX delivery platform, incorporating five survivin-specific immunogenic peptides, the innate immune stimulant, polydIdC, and a CD4 T cell helper peptide. In prior clinical studies, MVP-S and intermittent low-dose cyclophosphamide (CPA) elicited confirmed clinical responses (both partial and complete by RECISTv1.1) and induced a robust, durable survivin-specific CD8 T cell response. Moreover, the combination with pembrolizumab appeared to be well tolerated in solid tumors and lymphomas. The purpose of this phase 2 study is to explore whether this combination may be safe and effective in advanced, metastatic bladder cancer patients, both naïve to, and previously treated with, immune checkpoint inhibitors. Results: Seventeen (17) subjects were treated with the combination of MVP-S, CPA and pembrolizumab. Subjects received an average of 3 prior lines of therapy with 13/17 (76.4%) having previously received an anti-PD1/L1. Seven subjects progressed on or after anti-PD1/L1 as last line of therapy prior to entering the trial. The combination was well-tolerated, with majority of AEs being grade 1 or grade 2. Five (5) out of 17 subjects showed response: 3 subjects with PR (unconfirmed) and 2 with CR (confirmed). Three of these, including the 2 CRs, had progressed on anti-PD-1/L1. Long-term clinical benefit has been observed in several subjects (one patient is still on treatment after 17 months) and coincides with an increase in detectable survivin-specific T cells in peripheral blood. Conclusion: Preliminary data suggest that MVP-S/CPA and pembrolizumab is a well-tolerated combination and shows encouraging preliminary clinical activity in the treatment of advanced or metastatic bladder cancer patients, including patients who have progressed on prior anti-PD-1/L1 therapy. Citation Format: Olivier Rixe, Vincent Castonguay, Henry Conter, Eva Chalas, Pratibha Desai, Christian Squillante, Lisa A. MacDonald, Rebekah Conlon, Yogesh Bramhecha, Heather Hirsch, Jeremy R. Graff, Stephan Fiset. Safety, preliminary efficacy and pharmacodynamic (PD) analysis of maveropepimut-S, intermittent low-dose cyclophosphamide and pembrolizumab in patients with advanced, metastatic bladder cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr CT035.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.332
Teacher spread0.315 · 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
Published2022
Admission routes1
Has abstractyes

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