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Record W2060536460 · doi:10.1139/y08-035

Modulation of radiosensitivity in Chinese hamster lung fibroblasts by cisplatin

2008· article· en· W2060536460 on OpenAlexvenueno aff
John Akudugu, Jacobus Slabbert

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2008
Typearticle
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsnot available
FundersNational Research Foundation
KeywordsRadiosensitivityCisplatinChinese hamsterIrradiationHamsterCell cycleChemistryToxicityClonogenic assayBiologyCellRadiation therapyMedicineInternal medicineChemotherapyIn vitroBiochemistry

Abstract

fetched live from OpenAlex

The effects of cisplatin exposure time, concentration, and irradiation sequence on the sensitivity of Chinese hamster lung fibroblasts (V79) to gamma-ray exposure were examined. Based on clonogenic cell survival, the cisplatin concentrations corresponding to 50% cell survival (EC(50)) for exposure times of 1 h to 7 days followed a 2-phase exponential decay and ranged from 28.26 +/- 3.32 to 1.53 +/- 0.24 micromol/L, respectively. When cells were treated at EC(50) for exposures of less than 4 h and irradiated immediately, cisplatin inhibited the effect of radiation. Exposures of 4-6 h did not affect radiosensitivity. For exposures of 8-12 h, radiosensitization was observed, which disappeared at 14 h and reappeared for much longer cisplatin treatments. At the lowest achievable EC(50) (1.53 micromol/L), radiosensitization was observed if irradiation was delayed for 1-8 h. This enhancement in radiosensitivity disappeared for irradiation delays of 10-12 h, but reappeared when irradiation was delayed for 14-18 h. These data demonstrate that the mode of interaction between cisplatin and gamma-irradiation depends on the concentration and exposure time of cisplatin, as well as on the timing of irradiation after cisplatin administration. Consideration of changes in cell cycle kinetics may contribute to the improvement of treatment outcomes in adjuvant chemoradiotherapy involving cisplatin.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.327

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.262
Teacher spread0.255 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2008
Admission routes1
Has abstractyes

Explore more

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