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Record W2327268572 · doi:10.1002/ijc.30121

Induction of antigen‐specific T<sub>H</sub>9 immunity accompanied by mast cell activation blocks tumor cell engraftment

2016· article· en· W2327268572 on OpenAlexafffund
Aws Abdul‐Wahid, Marzena Cydzik, Aaron Prodeus, Mays Alwash, Mile Stanojcic, M. deKay Thompson, Eric H.‐B. Huang, John E. Shively, Scott D. Gray‐Owen, Jean Gariépy

Bibliographic record

VenueInternational Journal of Cancer · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsSunnybrook HospitalUniversity of TorontoSunnybrook Health Science Centre
FundersP.C. Rossin College of Engineering and Applied Science, Lehigh UniversityCanadian Institutes of Health ResearchSunnybrook Research Institute
KeywordsImmune systemTLR3ImmunologyAntigenCancer researchMedicineBiologyInnate immune systemToll-like receptor

Abstract

fetched live from OpenAlex

The engraftment of circulating cancer cells at distal sites represents a key step in the metastatic cascade, yet remains an unexplored target for therapeutic intervention. In this study, we establish that a vaccination strategy yielding an antigen-specific TH 9 response induces long term host surveillance and prevents the engraftment of circulating cancer cells. Specifically, we show that vaccination with a recombinant CEA IgV-like N domain, formulated with the TLR3 ligand poly I:C, elicits a CEA-specific TH 9 response, wherein IL-9 secreting TH cells act in concert with CEA N domain-specific antibodies as well as activated mast cells in preventing tumor cell engraftment. The development of this immune response was dependent on TLR3, since interference with the TLR3-dsRNA complex formation led to a reduction in vaccine-imparted protection and a shift in the resulting immune response toward a TH 2 response. These findings point to the existence of an alternate tumor targeting immune mechanism that can be exploited for the purpose of developing vaccine therapies targeting tumor dissemination and engraftment.

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 score0.067
Threshold uncertainty score0.868

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)0.0010.000

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 head0.011
GPT teacher head0.248
Teacher spread0.238 · 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".

Quick stats

Citations49
Published2016
Admission routes2
Has abstractyes

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