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Record W1989861712 · doi:10.1089/cbr.2007.368-r

Review: Cancer Immunotherapy by Exosome-Based Vaccines

2007· review· en· W1989861712 on OpenAlexaff
Siguo Hao, Terence Moyana, Jim Xiang

Bibliographic record

VenueCancer Biotherapy and Radiopharmaceuticals · 2007
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversity of OttawaSaskatchewan Cancer AgencyUniversity of Saskatchewan
Fundersnot available
KeywordsImmunotherapyExosomeImmune systemCancer immunotherapyCytotoxic T cellMicrovesiclesCancerCancer researchAntigenImmunologyCD8Dendritic cellTumor antigenMedicineBiologyIn vitroInternal medicinemicroRNA

Abstract

fetched live from OpenAlex

Exosomes (EXOs) are nanometer-sized membrane vesicles secreted from epithelial and hematopoietic cells. They display a spectrum of molecules involved in immune responses and signal transductions. Previous studies showed that tumor antigen-loaded dendritic cell (DC)- and tumor cell-derived EXOs (Dexo and Texo) induce tumor antigen-specific CD8(+) cytotoxic T-lymphocyte responses and antitumor immunity in experimental animal models and human clinical trials. This review will present the main biologic features of Dexo and Texo as cell-free cancer vaccines with emphasis on their immunostimulatory properties and their potential efficacy in cancer immunotherapy.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.932
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.055
GPT teacher head0.448
Teacher spread0.393 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations61
Published2007
Admission routes1
Has abstractyes

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