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Record W2061916308 · doi:10.1158/1538-7445.am2012-1558

Abstract 1558: Innovative biotherapy for brain tumors: Myxoma virus accelerates NK clearance of malignant gliomas

2012· article· en· W2061916308 on OpenAlexaff
Henry Ogbomo, Xueqing Lun, Jiqing Zhang, Franz J. Zemp, Grant McFadden, Christopher H. Mody, Peter Forsyth

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsOttawa HospitalUniversity of Calgary
Fundersnot available
KeywordsMyxoma virusOncolytic virusDegranulationDownregulation and upregulationBiologyMHC class INK-92Cancer researchLymphokine-activated killer cellMajor histocompatibility complexImmunologyVirusReceptorImmune systemInterleukin 21CD8

Abstract

fetched live from OpenAlex

Abstract Innovative biotherapeutic approaches for experimental malignant gliomas (MGs) and brain tumor stem cells (BTSCs) include using oncolytic viruses such as Myxoma Virus (Myxv) or immune cells such as Natural Killer (NK) cells. In this study, we combined the individual strengths of using NK cells and Myxv to treat MGs with a view of overcoming the potential limitations posed when each is used as monotherapy. All MGs (U87, U251) and BTSCs (25EF and 48EF) investigated expressed varying levels of NK ligands including inhibitory MHC-I, activating ULBP1-3, MICA/B, and co-activating nectin-2, poliovirus receptor. Infection of MGs and BTSCs with Myxv resulted in the downregulation of MHC-I expression both on the cell surface and intracellularly. No effect was observed on the expression of NK activating ligands except for the downregulation of nectin-2. The downregulation of MHC-I and nectin-2 by Myxv was specifically mediated by M153 gene of Myxv as loss of M153 restored MHC-I and nectin-2 expression. Subsequently, NK cell degranulation and killing of MGs was enhanced in Myxv-infected cells. Loss of M153 inhibited NK degranulation and lysis of MGs. In vivo, using luciferase-expressing U87 cells in a mouse intracranial model, Myxv accelerated tumor size reduction/clearance by NK cell lysis. Combined intratumoral treatment with Myxv and NK of established U87 tumor accelerated tumor clearance when compared with single treatment with Myxv or NK. Tumor in 66% of mice (4 out of 6 mice) were cleared or significantly reduced within 14 days following combination treatment with Myxv and NK. No significant effect was observed in Myxv or NK singly-treated mice within the same time frame. Clearance of tumors was only first observed in 50% (2 out of 4) of Myxv-treated mice after 25 days Myxv treatment. In NK treated mice, the tumor size rather increased. The enhanced tumor clearance in the combined Myxv and NK treated mice was possibly due to the down-regulation of MHC-I by Myxv since combined treatment with NK cells and mutant Myxv (gene M153 which is responsible for MHC-I down-regulation was deleted) did not result in clearance of tumors. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1558. doi:1538-7445.AM2012-1558

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 score0.002
Threshold uncertainty score0.007

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.095
GPT teacher head0.405
Teacher spread0.310 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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