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Abstract B008: GPR64-targeting single-domain CAR-T cells for immunotherapy in Ewing sarcoma

2023· article· en· W4389227931 on OpenAlexaboutno aff
Floriane Petit, Florent Dingli, Jacob Torrejon-Diaz, Bérangère Lombard, Stéphane Liva, Sakina Zaïdi, Didier Surdez, Renaud Leclère, Thomas G. P. Grünewald, Sandrine Grossetête, Bérengère Ouine, Véronique Marsaud, Nicolás André, Franck Perez, Ahmed El Marjou, Damarys Loew, Sandrine Moutel, Amaury Leruste, Olivier Ayrault, Olivier Delattre

Bibliographic record

VenueCancer Immunology Research · 2023
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsImmunotherapyCancer researchCancerFLI1Context (archaeology)TranscriptomeMedicineSarcomaMesenchymal stem cellCancer immunotherapyBiologyComputational biologyBioinformaticsTranscription factorInternal medicinePathologyGene expressionGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Ewing sarcoma (EwS) is the second most frequent bone and soft tissue cancer of childhood and adolescence. EwS is characterized by balanced chromosome translocation resulting in an aberrant tumor-specific transcriptional factor, EWSR1-FLI1, in 85% of cases. EwS is a highly aggressive cancer with a 5-years overall survival of only 30% for patients with metastases. These metastatic diseases are often resistant to intensive therapy and associated with acute and chronic adverse effects. Thus, there is a need for new treatment options to improve survival and to limit the long-term side effect. Immune-based approaches can offer alternative options to conventional treatments modalities. In this context, the aim of this study is to identify therapeutic target for immunotherapy. We carried-out an integrative mass spectrometry analysis of whole proteome and phosphoproteome of 42 cells lines including EwS and non-EwS cancer cell lines as well as mesenchymal stem cells (MSCs), the putative cell-of-origin for EwS. This multi-omics study revealed expected EWSR1-FLI1-associated signatures. Additional surfaceome data permitted to highlight 70 cell surface proteins up-regulated by EWSR1-FLI1. Among these selected proteins, potential candidates for immunotherapy were selected according to their healthy tissue expression profiles based on integrated transcriptomic analysis using public resources and RNA-seq data of EwS tumors. A particular interest was dedicated to the expression of proteins that may derive from the recently described neogenes (Vibert et al, Mol Cell 2022). We identified the G protein-coupled receptor 64 (GPR64), as a potential specific EwS target for immunotherapy. Immunochemistry assay highlighted a high expression of GPR64 specifically in EwS PDXs and patients-derived tumors though the level of expression varies from one case to the other. GPR64 expression in normal tissues is only restricted to human epididymis. Alternative splicing occurs intensively in the N-terminal region, generating nine splice isoforms of the protein with slight differences in the extracellular domain. All splice isoforms are expressed in Ewing's sarcoma, with a majority over-representation of protein isoforms 2 and 4, compared to healthy tissues. GPR64-specific single-domain antibodies (sdAb) were selected by phage display libraries binding to the recombinant protein corresponding to an extracellular part of the receptor. The specificity of sdAb was verified by flow cytometry on GPR64-wild type and GPR64-knock down cells as well as MSCs. The activating ability of sdAb to activate T cells and their cytotoxic potential against EwS cells are currently in progress. Thus, our multi-omics study identified GPR64 as a potential target for immunotherapy due to its EwS-specificity and its limited expression in normal tissues. This work could highlight new therapeutic opportunities for EwS patients with refractory disease. Citation Format: Floriane Petit, Florent Dingli, Jacob Torrejon-Diaz, Bérangère Lombard, Stéphane Liva, Sakina Zaidi, Didier Surdez, Renaud Leclere, Thomas Grünewald, Sandrine Grossetete, Berengère Ouine, Véronique Marsaud, André Nicolas, Franck Perez, Ahmed El Marjou, Damarys Loew, Sandrine Moutel, Amaury Leruste, Olivier Ayrault, Olivier Delattre. GPR64-targeting single-domain CAR-T cells for immunotherapy in Ewing sarcoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr B008.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.120
GPT teacher head0.421
Teacher spread0.301 · 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.

Study designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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