Radiation-induced lymphocyte apoptosis and chromosomic aberrations for prediction of toxicities in patients undergoing radical radiotherapy for breast or prostate cancers
Bibliographic record
Abstract
OBJECTIVES: Radiation-induced lymphocyte apoptosis (RILA) and chromosomal damage assays (CDA) are proposed predictors of radiotherapy (RT) adverse events (RTAE). This study evaluated RILA and CDA in patients undergoing different RT dose regimens for early breast (FAST trial) or prostate (CHHiP trial) cancer. METHODS: Consecutive patients were recruited from each trial. Fresh heparinized blood samples were analysed for RILA and CDA. The primary endpoint was time to first change in photographic breast appearance (FAST) or time to first grade ≥2 RTOG bladder or bowel toxicity (CHHiP). The secondary endpoint in FAST was breast fibrosis. RESULTS: The dataset included 103 FAST and 297 CHHiP trial patients. No significant association of RILA with the primary endpoint was observed in the FAST trial. However, the risk of grade ≥2 breast fibrosis was lower in patients with RILA ≥24% compared to those with RILA ≤16% (P = .012). In the CHHiP trial, no significant associations were found between CDA after prostate RT outcomes. However, higher levels of micronuclei per cell were associated with a lower risk of grade ≥2 RTOG pelvic toxicities. The relative risk of developing grade ≥2 RTAE decreased for patients with RILA ≥ 24% but was not statistically significant. CONCLUSIONS: No association was found between RILA and photographic breast appearance. High RILA values were statistically associated with a lower risk of grade ≥2 breast fibrosis. In the CHHiP trial, most assays showed no association with pelvic toxicities. ADVANCES IN KNOWLEDGE: RILA is confirmed as a potential predictor of breast fibrosis regarding fraction sizes.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".