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Record W2127283062 · doi:10.1038/mt.2009.95

Recombinant Vesicular Stomatitis Virus Transduction of Dendritic Cells Enhances Their Ability to Prime Innate and Adaptive Antitumor Immunity

2009· article· en· W2127283062 on OpenAlexafffund
Jeanette E. Boudreau, Byram W. Bridle, Kyle B. Stephenson, Kristina M. Jenkins, Jérôme Brunellière, Jonathan L. Bramson, Brian D. Lichty, Yonghong Wan

Bibliographic record

VenueMolecular Therapy · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsMcMaster UniversityMcMaster University Medical Centre
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsVesicular stomatitis virusBiologyDendritic cellInnate immune systemImmune systemImmunologyAntigenInterleukin 12ImmunotherapyAcquired immune systemAntigen-presenting cellT cellCytotoxic T cellVirologyVirus

Abstract

fetched live from OpenAlex

Dendritic cell (DC)–based vaccines are a promising strategy for tumor immunotherapy due to their ability to activate both antigen-specific T-cell immunity and innate immune effector components, including natural killer (NK) cells. However, the optimal mode of antigen delivery and DC activation remains to be determined. Using M protein mutant vesicular stomatitis virus (ΔM51-VSV) as a gene-delivery vector, we demonstrate that a high level of transgene expression could be achieved in ∼70% of DCs without affecting cell viability. Furthermore, ΔM51-VSV infection activated DCs to produce proinflammatory cytokines (interleukin-12, tumor necrosis factor-α, and interferon (IFN)α/β), and to display a mature phenotype (CD40highCD86high major histocompatibility complex (MHC II)high). When delivered to mice bearing 10-day-old lung metastatic tumors, DCs infected with ΔM51-VSV encoding a tumor-associated antigen mediated significant control of tumor growth by engaging both NK and CD8+ T cells. Importantly, depletion of NK cells completely abrogated tumor destruction, indicating that NK cells play a critical role for this DC vaccine-induced therapeutic outcome. Our findings identify ΔM51-VSV as both an efficient gene-delivery vector and a maturation agent allowing DC vaccines to overcome immunosuppression in the tumor-bearing host. Dendritic cell (DC)–based vaccines are a promising strategy for tumor immunotherapy due to their ability to activate both antigen-specific T-cell immunity and innate immune effector components, including natural killer (NK) cells. However, the optimal mode of antigen delivery and DC activation remains to be determined. Using M protein mutant vesicular stomatitis virus (ΔM51-VSV) as a gene-delivery vector, we demonstrate that a high level of transgene expression could be achieved in ∼70% of DCs without affecting cell viability. Furthermore, ΔM51-VSV infection activated DCs to produce proinflammatory cytokines (interleukin-12, tumor necrosis factor-α, and interferon (IFN)α/β), and to display a mature phenotype (CD40highCD86high major histocompatibility complex (MHC II)high). When delivered to mice bearing 10-day-old lung metastatic tumors, DCs infected with ΔM51-VSV encoding a tumor-associated antigen mediated significant control of tumor growth by engaging both NK and CD8+ T cells. Importantly, depletion of NK cells completely abrogated tumor destruction, indicating that NK cells play a critical role for this DC vaccine-induced therapeutic outcome. Our findings identify ΔM51-VSV as both an efficient gene-delivery vector and a maturation agent allowing DC vaccines to overcome immunosuppression in the tumor-bearing host.

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 score0.053
Threshold uncertainty score0.896

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 head0.009
GPT teacher head0.231
Teacher spread0.222 · 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

Citations72
Published2009
Admission routes2
Has abstractyes

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