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Abstract LB-269: Development of a vaccine model to track the CD8-specific response in Mauritius cynomolgus monkey

2019· article· en· W4248659508 on OpenAlexaff
Richard Graveline, Morad Haida, Carolyne Dumont, Rana Samadfam, Dominic Poulin, Marie-Soleil Piché

Bibliographic record

VenueExperimental and Molecular Therapeutics · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsCanadian Nuclear Laboratories
Fundersnot available
KeywordsCTL*Immune systemCD8Cytotoxic T cellImmunologyImmunotherapyCancer immunotherapyT cellMedicineBiologyIn vitro

Abstract

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Introduction Manipulating the immune system to achieve therapeutic efficacy in cancer treatment has led to a new class of drugs that brought lasting remissions to many patients who had run out of options. The development of new immunotherapy aimed at targeting cancer cells requires the ability to monitor specifically the immune response. Although CD8 T cells play a crucial role in this process, no equivalent of the traditional T-cell-dependent antibody response (TDAR) assay, which evaluates the T-helper immune response, is currently available. Since cancer immunotherapy agents are often tested in non-tumor bearing NHP for safety assessment, the animal models currently available do not allow monitoring of potential exaggerated pharmacology and efficacy of these new drug candidates.Objectives The goal of this study was to develop an NHP vaccination model that specifically elicits a CTL response, in order to evaluate the efficacy in exacerbating the Cytotoxic T Lymphocyte (CTL) response.Experimental Procedures To reach this goal, MHC-genotyped Mauritian cynomolgus macaques (MCMs) were immunized with 3 replication incompetent recombinant adenovirus serotype 5 (Ad5) vectors, each containing the coding sequence for Gag, Nef or Pol SIV proteins. Such model allowed monitoring of the CD8 T cell activation in lieu of a tumor or live virus model. MCMs were distributed into 3 groups: one control group and 2 groups which received two intramuscular injection of the adenovirusrs spaced by 4 or 8 weeks. The immune response was monitored with blood samples taken on a weekly basis for up to 12 weeks. Blood samples were used to 1) characterize the different CD8-positive sub-populations by Tetramer staining and Immunophenotyping; 2) to correlate the immunophenotyping profile obtained with functional assays such as ex vivo recall response and IFNγ ELIspot.Results Of the three groups tested, MCM monkeys receiving 2 injections 8 weeks apart showed the more robust CD8 T cell response. This response was mainly characterized by a proliferation profile (Ki67-positive cells), the expression of activation markers at the surface of CD8 T cells and antigen specific responses of the CD8 T cells. Of the three Gag, Pol and Nef proteins, immunization with Nef gave the most robust response, as observed by the IFNγ ELIspot results and by the presence of a Nef-specific CD8-specific subpopulation observed by tetramer staining. No changes in the distribution of T, B, NK, Treg or Memory T cells was observed between the 3 groups.Conclusion The results obtained during the course of this study suggests that the described CD8-specific vaccination model using Mauritius cynomolgus macaques is a promising model to evaluate the efficacy and potential exaggerated pharmacology of new drug candidates targeting CD8 T cells.Citation Format: Richard Graveline, Morad Haida, Carolyne Dumont, Rana Samadfam, Dominic Poulin, Marie-Soleil Piche. Development of a vaccine model to track the CD8-specific response in Mauritius cynomolgus monkey [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr LB-269.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.270
Teacher spread0.251 · 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 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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