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Record W2032790137 · doi:10.1002/jgm.438

Enhanced antitumor activity of a combination of <i>MBD2</i>‐antisense electrotransfer gene therapy and bleomycin electrochemotherapy

2003· article· en· W2032790137 on OpenAlexaff
Marie‐Agnès Ivanov, Badia Lamrihi, Moshe Szyf, Daniel Scherman, Pascal Bigey

Bibliographic record

VenueThe Journal of Gene Medicine · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsMcGill University
FundersNational Cancer Institute
KeywordsBleomycinGenetic enhancementCombination therapyCancer researchElectrochemotherapyIn vivoBiologyGene silencingElectroporationPharmacologyMolecular biologyGeneChemotherapyBiochemistry

Abstract

fetched live from OpenAlex

BACKGROUND: MBD2 is a methylated DNA-binding protein that has been previously suggested to have transcriptional silencing as well as DNA demethylase activities. We have previously shown that electrotransfer of an MBD2-antisense encoding plasmid inhibits tumor growth in vivo. In this study we tested whether a combination of MBD2-antisense gene therapy and bleomycin chemotherapy has an augmented antitumor effect in comparison with either monotherapy. METHODS: Mice bearing human non-small-cell lung carcinoma line H1299 xenoplants were treated with electrotransfer of either bleomycin or MBD2-antisense expression plasmid or a combination of both therapies and tumor growth following treatment was monitored. RESULTS: A combination of electrotransfer of MBD2-antisense and bleomycin electrochemotherapy has an additive inhibitory effect on the rate of tumor growth and a synergistic effect on the number of tumor-free animals when compared with either monotherapy. CONCLUSIONS: Our results suggest that a combination of MBD2-antisense electrotransfer gene therapy and chemotherapy with bleomycin is a candidate new approach to anticancer therapy.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.016
GPT teacher head0.288
Teacher spread0.271 · 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

Citations30
Published2003
Admission routes1
Has abstractyes

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