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913 Translational analysis of advanced metastatic bladder cancer patients treated with IO combination maveropepimut-S, cyclophosphamide, and pembrolizumab

2022· article· en· W4308400766 on OpenAlexaboutno aff
Heather Torrey, Walead Ebrahimizadeh, Valarmathy Kaliaperumal, Aurelio Lobo, Barry E. Kennedy, Tran B. Ngo, Lisa D. MacDonald, Stephan Fiset, Jeremy R. Graff, Heather A. Hirsch

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsELISPOTImmune systemMedicineImmunotherapyImmunologyAntigenT cellCancer researchPembrolizumab

Abstract

fetched live from OpenAlex

<h3>Background</h3> Maveropepimut-S (MVP-S, formerly DPX-Survivac) is comprised of immunogenic T cell peptides from the cancer antigen, survivin, as well as a universal T helper peptide, A16L, and the innate immune activator, poly-dIdC, packed within the proprietary DPX<sup>®</sup> lipid-in-oil delivery platform. When combined with intermittent low-dose cyclophosphamide (CPA), and the immune checkpoint inhibitor, pembrolizumab, the proprietary DPX lipid-in-oil delivery platform elicits a sustained immune response that has been associated with clinical benefit in multiple tumor types. Here, we present translational analyses of immune cell infiltration and peripheral, cell-mediated immunity in advanced metastatic bladder cancer subjects (n=19) from this Phase 2 trial, NCT03836352. <h3>Methods</h3> Survivin specific immune response was measured in PBMCs by IFN-? ELISPOT (n=14) and MHC-Tetramer assay (n=13). Multiplex immunofluorescence (mIF) (n=5) was performed by Precision for Medicine. PD-L1 status (n=13) was analyzed using the 22C3 IHC assay at Covance. Gene expression analysis was performed using the NanoString IO360 panel (n=11). <h3>Results</h3> Analysis of PBMCs by IFN-? ELISPOT or MHC-tetramer assay demonstrates antigen-specific cell response in 71.4% (10/14) of evaluable patients, and in all five patients with measurable tumor responses. Baseline profiling of RNA signatures suggests that levels of B, T, and NK cells are higher in tumors of responding patients similar to previous MVP-S trials (DeCidE<sup>1</sup>; NCT02785250). Preliminary mIF also shows that one complete responder (RECISTv1.1) has a higher density of infiltrate, including CD8+ cells, at baseline. Grouped analysis of five on-treatment samples suggests higher immune resistance pathways such as TGF and CD71<sup>+</sup> early erythroid cells, in non-responding patients, which has been linked to immune tolerance and suppression of T cells.<sup>1</sup> mIF of five paired pre- and on-treatment biopsies reveals higher levels of FoxP3<sup>+</sup> (T<sub>regs</sub>) in post-treatment tumour of non-responders whereas the reverse is observed in tissue of responders. PD-L1 staining of pre-treatment tumor tissue by IHC, shows (4/4) of evaluable responding patients had a CPS score of ≥1%. <h3>Conclusions</h3> The combination of MVP-S, CPA, and anti-PD-1 therapy provides a renewed approach directly targeting the TAA survivin and imposing a limit on immune suppression with CPA along with checkpoint inhibition. The data herein show that the treatment of advanced metastatic bladder cancer with MVP-S plus CPA in combination with pembrolizumab elicits a strong survivin-specific immune cell response in addition to the clinical response as reported previously (AACR 2022). Taken together, the translational data demonstrate that this novel immune oncology approach leads to immune education that is correlated with improved disease control. <h3>Reference</h3> Grzywa TM, Sosnowska A, Rydzynska Z, <i>et al</i>. Potent but transient immunosuppression of T-cells is a general feature of CD71+ erythroid cells. <i>Commun Biol</i> 2021;<b>4</b>:1384. doi: 10.1038/s42003-021-02914-4. <h3>Ethics Approval</h3> WIRB (20183396); Cedars-Sinai Medical Center Institutional Review Boards (Pro00057155); The University of Texas MD Anderson Cancer Center Institutional Review Board (IRB 2) (2019-0135); Ochsner Clinic Foundation Institutional Review Board (2019 084); University of Louisville IRB # 1 – Biomedical (19.045); WCG IRB (20183396); Willima Osler Health System Research Ethics Board (18-0064); Ontario Cance Research Ethics Board (OCREB) (1732); Comite d9ethique de la recherche du CHU de Quebec – Universite Laval (MP-20-2019-4582*;

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2022
Admission routes1
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