The Landscape of RAD51D in Chinese Ovarian Cancer Patients: Prevalence, Correlation with HRD Score, and Correlation with Efficacy
Bibliographic record
Abstract
ABSTRACT Human genome is continuously threatened by endogenous and exogeneous sources of DNA damage, DNA damage repair (DDR) mechanisms are vital for genome instability and cancer prevention. Homologous recombination repair (HRR) is one of the most important DDR mechanisms because of its high-fidelity. BRCA1/2 have long been the best characterized HRR genes, but other non-BRCA1/2 HRR genes should not be overlooked. In this study, we illustrate that RAD51D is an important non-BRCA1/2 HRR gene in Chinese ovarian cancer patients, from perspectives including prevalence (2.9% patients mutated in RAD51D, 72.7% of RAD51D mutations were bi-allelic loss-of-function [BILOF]), correlation with HRD score (P=0.295 for RAD51D mutation, P=0.087 for RAD51D BILOF), and correlation with efficacy (progression-free survival: HR=0.685 P=0.069 for RAD51D mutation, HR=0.571 P=0.054 for RAD51D BILOF).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 | 0.000 |
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".