Safety of everolimus for women over 65 years of age with advanced breast cancer (BC): 12.5-mo follow-up of BOLERO-2.
Bibliographic record
Abstract
551 Background: Postmenopausal women with estrogen-receptor–positive (ER+) BC who relapse/progress on a nonsteroidal aromatase inhibitor (NSAI) are usually treated with the steroidal AI exemestane (EXE); but there is no currently approved treatment for this indication. The BOLERO-2 trial showed that adding everolimus (EVE), an oral inhibitor of mammalian target of rapamycin (mTOR), to EXE significantly improved clinical benefit beyond that of EXE alone (Hortobagyi et al, SABCS 2011, Abstract S3-7). As many women with advanced BC are elderly, the tolerability profile of EVE + EXE in this population is of interest. Methods: BOLERO-2 is a phase III, randomized, trial comparing EVE (10 mg once daily) vs placebo (PBO), both plus EXE (25 mg once daily) in postmenopausal women with advanced ER+ BC progressing or recurring after NSAIs. Safety data with a focus on elderly patients are reported at 12.5 mo median follow-up. Results: Baseline disease characteristics, age, and prior cancer therapy were well balanced between treatment arms (N = 724). At 12.5 months’ median follow-up, the addition of EVE to EXE significantly improved progression-free survival in patients <65 (HR = 0.37; P < .05) or ≥65 years of age (HR = 0.56; P < .05). Adverse events (AEs) of special interest (all grades) occurring more frequently with EVE vs PBO (overall study population) included stomatitis (66.6% vs 11.3%), infections (50.4% vs 25.2%), rash (44.0% vs 8.4%), pneumonitis (18.7% vs 0.4%), and hyperglycemia (15.4% vs 2.5%). Elderly EVE-treated patients (≥65 years) had similar or marginally lower incidence of stomatitis (52.1%), rash (32.3%), pneumonitis (14.6%), and hyperglycemia (12.5%) compared with the overall population. Grade 3/4 AEs in patients ≥70 years of age (n = 161) reported only among patients receiving EVE (n = 118) included fatigue (10.2%), anemia (10.2%), hyperglycemia (8.5%), stomatitis (7.6%), dyspnea (6.8%), pneumonitis (5.1%), neutropenia (3.4%), and hypertension (3.4%). Conclusions: Adding EVE to EXE was well tolerated in the overall population and in elderly patients with advanced BC; grade 3/4 AEs were uncommon and manageable. Overall, AEs were consistent with the known safety profile of EVE.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".