Modulation of radiosensitivity in Chinese hamster lung fibroblasts by cisplatin
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".