Abstract P2-07-11: Prediction of the Oncotype Dx recurrence score (RS) from clinicopathologic factors
Bibliographic record
Abstract
Abstract Background: The Oncotype Dx assay is currently used as an aid to therapeutic decisions for the adjuvant treatment of women with ER-positive, Her2-negative, lymph node-negative or -micrometastatic breast cancer. The recently reported TAILORx study showed that no or minimal benefit is derived from adjuvant chemotherapy in patients with an Oncotype Dx Recurrence Score (RS) of 25 or less. Methods: Charts of breast cancer patients that had the Oncotype Dx test in our cancer center in a nine-year period were reviewed. Data on demographic, and cancer-specific characteristics of the included patients were extracted. Predicted disease recurrence from the Oncotype Dx test was recorded and correlated with select clinicopathologic characteristics. Results: Two hundred and thirty patients with ER-positive, Her2-negative, lymph node-negative or micrometastatic breast cancer were included. Mean age was 65 years-old (SD 9.9). Two hundred and three patients (88.3%) were post-menopausal and one hundred and thirty-three patients (57.8%) were 65 years-old or older. Two hundred and nine patients (90.9%) had lymph node-negative disease. Oncotype Dx recurrence score was low (<11) in sixty-four patients (27.8%), intermediate (11-25) in one hundred and forty patients (60.9%) and high (>25) in twenty-six patients (11.3%). High tumor grade and low progesterone receptor (PR) staining by IHC were the two clinicopathologic factors most associated with a high Oncotype Dx RS (x2 test p <0.00001 and Fisher's exact test p <0.0001). A predictive index (PI) was constructed, assigning one point each for grade 3 and PR staining in 20% or less of tumor cells. A PI of 0 was observed in one hundred and thirty-eight patients (60%), a PI of 1 was observed in seventy-one patients (30.9%), and a PI of 2 was observed in twenty-one patients (9.1%). One hundred and thirty-four patients (97.1%) with a PI of 0 had a RS of 25 or less. Patients with a PI of 1 and 2 had a RS of >25 in 12.7% and 61.9% of cases, respectively. Conclusion: The PI based on tumor grade and PR we propose is a simple predictor of Oncotype Dx RS. 97.1% of patients with a grade 1 or 2 tumor and PR positivity in >20% of tumor cells had a RS of 25 or less. The Oncotype Dx test and its associated cost can therefore be avoided in these patients, especially in low-resource settings. Citation Format: Voutsadakis IA, Thibodeau S, Reed M. Prediction of the Oncotype Dx recurrence score (RS) from clinicopathologic factors [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P2-07-11.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.005 | 0.001 |
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".