Impact of clinical risk category on prognosis and prediction of chemotherapy benefit in early breast cancer (EBC) by age and the 21-gene recurrence score (RS) in TAILORx.
Bibliographic record
Abstract
503 Background: TAILORx established that endocrine therapy (ET) alone is non-inferior to adjuvant chemotherapy (CT) plus ET in EBC and a 21-gene RS of 11-25, with some benefit if ≤50 years (y) with RS 16-25 (PMID: 29860917). We evaluated whether clinical risk (tumor size & histologic grade) provides additional prognostic information to RS, a secondary trial objective. Methods: Clinical risk by was assessed by Adjuvant! (version 8.0) using MINDACT criteria (PMID 27557300), defined as low clinical risk (LCR - tumor ≤3 cm and low grade, <2 cm and intermediate grade, or ≤1 cm and high grade) or high clinical risk (HCR -not meeting LCR criteria). Results: Of 9427 women with RS and clinical risk information, 70% were LCR and 30% HCR, with comparable distribution by age ( ≤50 vs. >50). The RS was 26-100 in 9% of LCR and 27% of HCR patients, with similar distributions by age. Although LCR/HCR provided additional prognostic information in each RS category for iDFS, including RS 0-10 (9-year rates 86.7% vs. 75.7% LCR vs. HCR), 11-25 (85.4% vs. 78.9%), and 26-100 (82.0% vs. 70.4%), iDFS rates were similar irrespective of CT (no vs. yes) in the entire RS 11-25 cohort whether LCR (85.8% vs. 85.1%) or HCR (79.8% vs. 77.9%). DRFI rates were also similar irrespective of CT in the RS 11-25 cohort or > 50y group whether LCR (96.0% vs. 96.1% overall; 96.5% vs. 96.0% > 50y) or HCR (92.3% vs. 89.9% overall; 91.7% vs. 90.7% >50y). For women ≤50y, the absolute reduction in distant recurrence from CT with a RS of 16-20 (N=923) was -0.2% (standard error [SE]±2.1%) for LCR vs. 6.5%(SE±4.9%) for HCR (vs. 1.6%[SE±1.9%] overall), whereas for a RS 21-25 (N=492) it was 6.4% (SE±4.9%) for LCR vs. 8.6% (SE±6.2%) for HCR (vs. 6.5%[SE±3.7%] overall). Conclusions: Clinical risk stratification provides additional prognostic information to the 21-gene RS, but not prediction of CT benefit in the overall TAILORx population or those > 50y, and facilitates more refined estimates of absolute CT benefit for women ≤50y with a RS 16-25. (Funded by National Cancer Institute, Komen Foundation, Breast Cancer Research Foundation). Clinical trial information: NCT00310180.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.000 |
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".