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Record W1790156287 · doi:10.1158/1538-7445.am2014-2559

Abstract 2559: Molecular and immunological correlates of latent versus productive reoviral infection in cancers

2014· article· en· W1790156287 on OpenAlexaff
James Mansfield, Andrew Stuff, Matt Coffey, Gerard J. Nuovo, Flavia Picchiori, Craig C. Hofmeister

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsOncolytics Biotech (Canada)
Fundersnot available
KeywordsOncolytic virusBiologyAntibodyImmune systemCell sortingVirologyCancerImmunologyCD8CD19CellCancer researchPlasma cellFlow cytometry

Abstract

fetched live from OpenAlex

Abstract An oncolytic virus, due to its ability to replicate and lyse cancer cells while leaving normal cells intact, is an example of targeted cancer therapy. Reovirus is intrinsically oncolytic without the need for any genetic manipulation. While reovirus can be detected inside hematopoietic cancer cells after exposure, the key question is whether a reoviral infection is productive or latent?. We show that productive infection is associated with tumor cell killing by both direct apoptosis and increased T cell and NK cell response to the tumor. We analyzed several human multiple myeloma cell lines either resistant or sensitive to reovirus infection and a metastatic melanoma model in mice after reoviral infection. Latent reoviral infection was defined by reoviral RNA proliferation with no detectable reoviral capsid protein; productive infection was defined by ample reoviral RNA proliferation and capsid production. C57BL/6 mice were injected subcutaneously with B16 or B16-VEGF cells. Immune cell depletions involved intraperitoneal injections of anti-CD8, anti-CD4 and immunoglobulin G control. For NK depletion, anti-asialo-GM1 or rabbit IgG isotype control was injected intraperitoneally. Fluorescence-activated cell sorting of spleens and/or lymph nodes confirmed subset-specific depletions. Paclitaxel was injected intraperitoneally at 10 mg/kg per injection. Myeloma cell lines resistant to reoviral infection showed that the majority of the cancer cells had latent reoviral infection with very weak productive infection (productive/latent reoviral infection 6%). Myeloma cells sensitive to reoviral infection showed many cells with a productive viral infection (productive/latent reoviral infection was 50%. P38 expression was identical in the resistant and sensitive myeloma cell lines; two molecular markers that marked the reoviral sensitive myeloma cell lines were high CUG2 expression and low ammonia production. In the metastatic melanoma model, latent infection was dominant in mice treated with reovirus alone; productive infection was dominant in mice treated with reovirus and chemotherapy. In both the cell lines and metastatic melanoma model, productive infection was associated with elevated caspase-3 expression. In the metastatic melanoma model, productive infection was associated with increased T cell and NK cell infiltration of the tumor. Immune cell infiltrates in the tumor were investigated using a combination of multimarker IHC and multispectral imaging. Most cancers (resistant and sensitive) show ample reoviral RNA proliferation. Cancers sensitive to reoviral oncolysis allow reoviral productive infection that may reflect high CUG2 expression or low NH3 production. Productive reoviral infection kills cancer cells both by direct caspase-3-induced apoptosis and by enhancing the T cell and NK cell response against the cancer. Citation Format: James Mansfield, Andrew Stuff, Matt Coffey, Gerard Nuovo, Flavia Picchiori, Craig C. Hofmeister. Molecular and immunological correlates of latent versus productive reoviral infection in cancers. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2559. doi:10.1158/1538-7445.AM2014-2559

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.044
GPT teacher head0.378
Teacher spread0.334 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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