Abstract GS1-05: Trial Assigning Individualized Options for Treatment (TAILORx): An Update Including 12-Year Event Rates
Bibliographic record
Abstract
Abstract Background: Late recurrence of breast cancer after 5 years accounts for about 50% of recurrences in hormone receptor (HR)-positive early breast cancer (EBC). TAILORx established non-inferiority of adjuvant endocrine therapy (ET) given for at least 5 years to chemotherapy plus ET (CET) in EBC and a 21-gene recurrence score (RS) of 11-25, although there was some chemotherapy benefit in women Methods: Eligibility criteria included women 18-75 years with HR-positive, HER2-negative, T1b-T2N0 EBC who agreed to have CT assigned or randomized based on the RS assay. The primary endpoint was invasive disease-free survival (iDFS) in the RS 11-25 group. The “primary analysis” refers to the original prespecified analysis for the primary IDFS endpoint (836 IDFS events at full information in the RS 11-25 group) after a median of 7.5 years. The “updated analysis” was performed after a median followup of 11.0 and 10.4 years in the randomized and overall populations, respectively. Results:10,253 eligible women enrolled between 4/7/06-10/6/10.The updated analysis includes substantially more events that the primary analysis, including IDFS events (1819 vs. 1210), distant recurrences (561 vs. 384), locoregional +/- distant recurrences (764 vs. 543), and deaths (910 vs. 499). The table provides 5 and 12-year event rates (and standard errors) for all arms, and comparisons of the randomized arms. The primary trial conclusions remain unchanged: ET was non-inferior to CET in the randomized group with a RS 11-25. Although recurrence occurred in < 10% by 12 years for a RS 0-25, late recurrence events beyond 5 years exceeded earlier recurrence. Non-recurrence events occurred in about 13% at 12 years (~1%/year), contributing substantially to the IDFS rates. For women Conclusions: The current updated analysis confirms findings from the original primary analysis that ET is non-inferior to CET in HR-positive, HER2-negative, node-negative EBC and a RS 11-25. As in the original primary analysis, the subgroup of women Citation Format: Joseph Sparano, Robert J. Gray, Della Makower, Kathy S. Albain, Daniel F. Hayes, Charles Geyer, Elizabeth Dees, Matthew P. Goetz, John A. Olson Jr, Tracy G. Lively, Sunil Badve, Thomas Saphner, Lynne I. Wagner, Timothy Whelan, Virginia Kaklamani, George Sledge. Trial Assigning Individualized Options for Treatment (TAILORx): An Update Including 12-Year Event Rates [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr GS1-05.
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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 | 0.037 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".