Abstract P2-13-02: Effect of aspirin (ASP) or celecoxib (CC) use on outcomes in postmenopausal breast cancer patients randomized to adjuvant exemestane or anastrozole: NCIC CTG MA.27
Bibliographic record
Abstract
Abstract Background: ASP is hypothesized to decrease the risk of breast cancer (BRCA) and BRCA recurrences. Thus we performed an exploratory analysis of ASP and CC use within the NCIC CTG MA.27 adjuvant trial comparing exemestane (E;N=3789) to anastrozole (A; N=3787) with a factorial second randomization to CC or placebo (P). Neither A or E was superior in breast cancer outcomes. Baseline low-dose ASP use is an accepted surrogate of cardiovascular risk factors and was used as a stratification factor across all 4 arms. Randomization to CC-P was discontinued after 18 months (n = 1622) due to concerns of cardiac toxicity. Methods: Patients taking >81mg of ASP daily at baseline were ineligible for randomization and use of >81mg of ASP daily was not allowed. Women enrolled during CC randomization were included in the comparison of E and A, stratified by whether they had been randomized to CC [yes, no;N=1622] and concomitant low-dose ASP [≤81 mg/day (yes, no); N=2209]. Other stratification factors included: lymph-nodes (negative, positive, or unknown); prior adjuvant chemotherapy (yes, no). The primary endpoint, event-free-survival (EFS), was defined as time from randomization to time of locoregional or distant disease recurrence, new primary breast cancer, or death from any cause. Secondary endpoints included overall survival (OS) defined as time from randomization to time of death from any cause and distant disease-free-survival (DDFS), defined as time from randomization to time of distant disease recurrence. Univariate (uni) assessment of CC and ASP use was assessed with stratified log-rank test, adjusting for lymph-node status and adjuvant chemotherapy and applied by intention-to-treat. Exploratory multivariate (multi) analyses (N = 1622) had forced inclusion of treatment and used step-wise forward stratified Cox modeling to examine the effects of CC, ASP use and baseline patient characteristics on outcomes; a factor was added with Wald test statistic p ≤ 0.05. Results: At median follow-up of 4.1 years, 186/1622 (11%) patients had an EFS event; 125 (8%) had died from any cause, and 80 (5%) had distant BRCA relapse. CC did not have significant uni association with outcomes: EFS p-value=0.92; OS p-value p = 0.56; DDFS p-value=0.55. ASP use was associated with worse EFS [p = 0.006, HR 1.48 (95% CI 1.12–1.96)], worse OS [p = 0.0002, HR 1.87 (95% CI (1.35–2.61)], and non-significant difference in DDFS (p = 0.72). CC had no multi association with EFS, OS or DDFS. ASP use had no multi association with EFS and DDFS (p > 0.05). However, ASP use had multi prognostic association with worse OS [p = 0.01; HR 1.67 (95% CI 1.13–2.49)]. Conclusions: Users of either CC or low dose ASP had similar DDFS to non-users in MA.27. As expected, low-dose ASP users (with presumptive cardiovascular risk factors) had worse OS than non-users. Inadequate numbers of patients randomized to CC and lack of randomization to aspirin leaves inadequate evidence from MA.27 to determine whether anti-inflammatories influence breast cancer outcomes. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P2-13-02.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".