Treatment-Emergent Symptoms and the Risk of Breast Cancer Recurrence in the NCIC CTG MA.27 Adjuvant Aromatase Inhibitor Trial.
Bibliographic record
Abstract
Abstract Background: Analyses of adjuvant endocrine therapy suggest that the appearance of new vasomotor or joint symptoms within 3 months of initiating either tamoxifen or aromatase inhibitor therapy predict for lower subsequent recurrence. We hypothesized that new vasomotor or joint symptoms may predict outcomes with anastrozole or exemestane in participants in the ongoing NCIC CTG Trial MA.27. We performed a pooled analysis across treatment arms of the MA.27 trial, to examine the effects of early onset new or worsening symptoms on relapse-free survival (RFS).Methods: 7576 postmenopausal women with early breast cancer were accrued to MA.27, a randomized adjuvant trial of exemestane and anastrozole. The second interim analysis data with a 3 year median follow-up was used for this analysis. The trial's primary endpoint is event-free survival, but for this investigational analysis is RFS, which excludes non-breast cancer deaths. All 7118 participants known to be hormone receptor-positive who received trial therapy, and had no relapse in the first 3 months, were included. The association of vasomotor and joint symptoms with patient characteristics was examined with chi-square tests. Stratified log-rank and stratified univariate and multivariate Cox modeling were used to examine the association of early vasomotor and joint symptoms on disease outcomes.Results: Of 4749 women who were asymptomatic at baseline, 230 (5%) experienced vasomotor or joint symptoms at 3 months. The RFS stratified univariate Cox hazard ratio (HR) for vasomotor or joint-related symptoms was 1.184 (95% CI, 0.675-2.079). When all 7118 women were included, 361 (5%) developed new or worsening symptoms at 3 months. RFS was not statistically significant between the women with or without new symptoms (HR 1.129, 95% CI, 0.708-1.800). Higher T stage was the only factor included in the multivariate Cox RFS model that was associated with new or worsening symptoms (p<0.001).Conclusions: In contrast to prior findings, we did not observe a correlation between early emergence of symptoms and improved RFS. Longer follow-up and analysis by treatment arm and at different time points are required. Additional symptoms and time points will be added to the analysis prior to the meeting. Until further data are available, clinicians should not use treatment-emergent symptoms to counsel their patient whether to continue or change their prescribed medication. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 14.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".