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Record W7025334577

The use of oncolytic virus VSVΔ51 as a novel therapeutic strategy in pancreatic cancer

2021· other· en· W7025334577 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge UdeS (Institutional Deposit of the University of Sherbrooke) · 2021
Typeother
Languageen
FieldEnvironmental Science
TopicPhosphorus and nutrient management
Canadian institutionsnot available
Fundersnot available
KeywordsOncolytic virusPancreatic cancerGemcitabineCancerImmunotherapyImmunogenic cell deathTumor microenvironmentContext (archaeology)Cytotoxic T cell
DOInot available

Abstract

fetched live from OpenAlex

Abstract : Context As of 2020, Pancreatic Cancer is the 3rd leading cause of cancer-related deaths in Canada. The most common subtype of pancreatic cancer is pancreatic ductal adenocarcinoma (PDAC), which accounts for approximately 90% of all pancreatic cancer cases diagnosed every year. Limited therapeutic strategies are available to patients. Standard of Care (SOC) for PDAC patients has remained unchanged in the last three decades. Gemcitabine remains the backbone of therapy for most patients. However, the efficacy of SOC is limited as multiple factors in PDAC contribute to therapeutic resistance. The tumour microenvironment (TME) in PDAC is known to be fibrotic and immunologically cold. To better target and eradicate cancer cells, more specific therapies such as oncolytic viruses have been developed to improve patient outcome. Oncolytic viruses such as VSVΔ51, will specifically replicate in the cancer cells. VSVΔ51also has the ability to lyse cancer cells and induce immunogenic cell death (ICD). The release of damage associated molecular patterns (DAMPs) from the dying PDAC cells will lead to a tumour specific immune response. Hypothesis PDAC therapy could be improved by the induction of ICD through the addition of the oncolytic virus VSVΔ51to SOC gemcitabine. Objectives The objectives are to characterize the immune-targeting effects of VSVΔ51 following PDAC cell lines and combine VSVΔ51 with SOC gemcitabine to evaluate the potential synergy of the therapies. Methods The evaluation of both the cytotoxic and replication abilities of VSVΔ51 in PDAC cell lines were done. To evaluate cell viability following infection, MTT assays were performed. To evaluate replication, viral plaque assays were done. Additionally, the release of DAMPs (HSP90, HMGB1) was also measured, by Western Blot to ensure the induction of ICD. The cell viability following the combination of gemcitabine and VSVΔ51was also measured, by crystal violet staining as well as the DAMP release (HSP70, HSP90, and HMGB1) by Western Blot. Results Our results demonstrate that VSVΔ51 is functional and is able to infect, lyse and replicate amongst PDAC cells. VSVΔ51 on its own is able to induce the release of DAMPs. We have also demonstrated that VSVΔ51 in combination with gemcitabine is able to induce cell death and release DAMPs as well Conclusion VSVΔ51 presents a novel more specific potential therapeutic strategy for PDAC. VSVΔ51 can be used in combination with current SOC to further eradicate cancer cells.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.689
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.226
Teacher spread0.200 · 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
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
Published2021
Admission routes1
Has abstractyes

Explore more

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