Relationship between body mass index (BMI) at diagnosis of ER+ node negative breast cancer (BC) and Oncotype DX recurrence score.
Bibliographic record
Abstract
582 Background: Inferior stage-adjusted survival for BC among obese (O) women has been reported. This may reflect differences in treatment planned for O women, in treatment received (due to toxicity), or in tumor biology arising in different cellular environments, such as high serum insulin levels, which are associated with a higher risk of recurrence. Methods: We examined whether overweight (BMI 25-30) or obese (BMI >30) women had a higher Oncotype Dx Recurrence Score (RS) after ER+, node negative (NN) or N0i+ BC than normal weight women. Included were all participants at the BC Cancer Agency in a RS clinical utility study in consecutive ER+ NN, N0i+ BC (n=156) at the BC Cancer Agency and in the TAILORx trial (n=56). Sixteen were excluded (n=5 withdrew consent; 1 triple negative; 3 test failed; 2 her2+; 1 neoadjuvant treatment, n=4 height and weight missing). Results: A similar proportion of O patients had low, intermediate, and high RS tumors. Cancers with a high RS were more likely to be grade 3 (55% of grade 3 tumours had high RS, 33% intermediate RS, 12% low RS) and fewer were strongly ER positive (69% of high RS versus 97% of intermediate and low RS). Conclusions: While this data does not support differences in tumor risk arising in O versus non obese environments in ER+, NN BC, examination of a larger data set may be more informative. [Table: see text]
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| 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".