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Record W2528255331 · doi:10.20381/ruor-4870

The Role of CD8+ T Cell Phenotype and Cytotoxicity on Cancer Immunotherapy

2011· dissertation· en· W2528255331 on OpenAlexvenueno aff
Felicity C. Stark

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2011
Typedissertation
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsCytotoxicityCancer immunotherapyCytotoxic T cellImmunotherapyPhenotypeCD8CancerCancer researchBiologyImmunologyGeneticsImmune systemGeneIn vitro

Abstract

fetched live from OpenAlex

Cancer vaccines can fail despite the induction of large numbers of CD8+ T cells. Two categories of memory CD8+ T cells have been defined; central memory (TCM, IL-7RαhighCD44highCD62Lhigh) and effector memory (TEM, IL-7RαhighCD44highCD62Llow). It is clear that the memory phenotype of CD8+ T cells can affect vaccine potential; however methods to augment a beneficial phenotype are not clear. I have compared three vaccine delivery systems: Listeria monocytogenes, Salmonella enterica serovar Typhimurium and the particulate liposomal adjuvant, archaeosomes, for their efficacy to protect against murine melanoma. My study revealed that the anti-tumour response is strongly influenced by the kinetics, phenotype, and lymph node homing potential of CD8+ T cells. Listeria monocytogenes-ovalbumin (LM-OVA) induced TCM cells were adept at long lasting protection against B16-OVA melanoma due to their increased homeostatic and antigen-induced proliferation, interleukin-2 production, and ability to extravasate into tumour draining lymph nodes. Conversely, although Salmonella Typhimurium-ovalbumin (ST-OVA) induced TEM, produced IFN-γ, and killed target cells, this was insufficient for long-term tumour protection. Selectin-ligand engagements of TCM cells influenced their homing potential and efficacy against murine melanoma. Fucosyltransferase deficient (FtDKO) mice, lacking functional selectin ligands, were vaccinated with LM-OVA; despite the activation of cytotoxic CD8+ T cells, there was a reduced protection against murine melanoma compared to wild-type. FtDKO CD8+ T cells exhibited reduced extravasation into FtDKO lymph nodes compared to wild-type. Additionally, fewer FtDKO CD8+ T cells compared to wild-type migrated into tumour sites. Archaeosome vaccination was used to compare the influence of CD8+ T cell quantity versus phenotype. Single or multiple therapeutic vaccinations with archaeosome-OVA yielded transient melanoma tumour protection, despite an increased frequency of circulating and tumour infiltrating CD8+ T cells. This correlated with increased expression of Program death receptor-1 (PD-1) on CD8+ T cells and induction of regulatory T cells. Prophylactic archaeosome-OVA vaccination resulted in a maximal frequency of antigen-specific CD8+ T cells of ~50-60 % with just three injections, and ~50 % of the mice were of mice were afforded long-term tumour protection (> 90 days). Overall, my study shows that the choice of vaccine adjuvant and/or vector can profoundly influence CD8+ T cell quality and cancer vaccine efficacy.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.003
GPT teacher head0.171
Teacher spread0.168 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicCancer Immunotherapy and Biomarkers→French-language works237,207→