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Record W2025710560 · doi:10.1159/000291870

Applying the Herpes Simplex Virus Thymidine Kinase/Ganciclovir Approach to Ovarian Cancer: An Effective in vitro Drug-Sensitization System

2010· article· en· W2025710560 on OpenAlexaff
Ayman Al‐Hendy, Nelly Auersperg

Bibliographic record

VenueGynecologic and Obstetric Investigation · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity of British ColumbiaUniversity of Saskatchewan
Fundersnot available
KeywordsGanciclovirThymidine kinaseHerpes simplex virusOvarian cancerGenetic enhancementVirologySuicide geneViral vectorCervical cancerCancer researchMedicineImmunologyVirusBiologyHuman cytomegalovirusCancerRecombinant DNAInternal medicineGene

Abstract

fetched live from OpenAlex

Ovarian cancer is a major clinical problem with no rewarding treatment protocol currently available. In other malignancies transfer of the herpes simplex virus thymidine kinase (HSV-tk) gene into tumor cells using a viral vector followed by administration of ganciclovir (GCV) provides a potentially effective strategy for treatment. In this work human ovarian epithelial cancer cell lines were infected with a recombinant adenoviral vector expressing the HSV-tk (AdRSV-tk) and were rendered sensitive to doses of GCV that were 100-200 times less than for untransfected cells. A strong bystander effect was noted with significant killing at a ratio of infected:uninfected cells of only 1:20 and maximal killing at 1:3. Normal human ovarian surface epithelial cells were also highly sensitive to the AdRSV-tk/GCV system. This study demonstrates the potential efficacy of the HSV-tk/GCV approach in ovarian cancer gene 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 score0.003

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)0.0010.000

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 head0.013
GPT teacher head0.258
Teacher spread0.244 · 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

Citations19
Published2010
Admission routes1
Has abstractyes

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