p21<sup>+/+</sup>(CDKN1A<sup>+/+</sup>) and p21<sup>–/–</sup>(CDKN1A<sup>–/–</sup>) Human Colorectal Carcinoma Cells Display Equivalent Amounts of Thermal Radiosensitization
Bibliographic record
Abstract
The mechanism of thermal radiosensitization is related to the inhibition of repair of radiation-induced DNA damage by heat. Due to the interaction of the gene p21/WAF1/CIP1 (now known as CDKN1A) with a variety of DNA repair proteins, its involvement in thermal radiosensitization was investigated. Two isogenetic human colorectal cancer cell lines with wild-type TP53 status were used. The 80S4 cell line was deficient in CDKN1A and the HCT116 cells were CDKN1A proficient. Both cell lines were significantly more sensitive to 44 degrees C than 42 degrees C heating (P < 0.01), and both cell lines expressed thermotolerance for heating times longer than about 2 h at the lower temperature. There were no significant differences in the X-radiation response of the two cell lines. Further, the two cell lines displayed similar cell survival levels after hyperthermia given before or after X radiation for both hyperthermia temperatures. Comparison of thermal enhancement ratios confirmed that there was no difference in the amount of thermal radiosensitization induced in the two cell lines. The induction and subsequent repair of DNA double-strand breaks, as measured by clamped homogeneous gel electrophoresis, was also the same in both cell lines. These findings strongly suggest that the gene CDKN1A does not play an important role in the expression of thermal radiosensitization.
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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) | 0.002 | 0.001 |
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".