15P Germline predictors of recurrence in patients with ER-positive and HER2-negative breast cancer: A GWAS analysis of multiple cohorts totaling 10,640 patients
Bibliographic record
Abstract
Results: Preliminary results on the first 15 pts are reported; ten (66.7%) received lurbinectedin as 2L, five (33.3%) as third line.A trend towards a longer mPFS to lurbinectedin was observed in SLFN11-H pts, as well as to other 2L treatments, although without statistical significance.A longer mPFS to 1L therapy (9.1 vs 5.2 months, p0.004,HR 0.12, 95%CI 0.24-0.63)and mOS (31.2 vs 14.1 months, p0.022,HR 0.21, 95%CI 0.53-0.89)were observed in SLFN11-H pts.SLFN11 levels were higher in the tumor than in the stroma (p0.014) and were variably expressed in infiltrating immune cells; a higher density of CD163+ macrophages (p0.020), and a lower density of intratumoral CD20+ B lymphocytes (p0.027) were observed in SLFN11-H pts.Conclusions: SLFN11 higher expression correlates with better outcomes to 1L therapy and suggests a predictive value to lurbinectedin in second or further lines.Validation analyses on a wider population are currently ongoing and will be presented at the conference.
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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 | 0.000 |
| 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) | 0.000 | 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".