Phase Ib Dose-escalation/Expansion Trial of Ribociclib in Combination With Everolimus and Exemestane in Postmenopausal Women with HR+, HER2− Advanced Breast Cancer
Bibliographic record
Abstract
Abstract Purpose: Report results of the phase Ib dose-escalation/expansion study of triplet therapy with cyclin-dependent kinases 4 and 6 (CDK4/6) inhibitor (ribociclib), mTOR inhibitor (everolimus), and endocrine therapy (exemestane). Patients and Methods: Postmenopausal women with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2−), pretreated, advanced breast cancer (ABC) were enrolled. The primary objective of the dose-escalation phase was to estimate the MTD and recommended phase II dose (RP2D) of triplet therapy through evaluation of the incidence of dose-limiting toxicities. Safety, tolerability, and efficacy of the RP2D were evaluated in the dose-expansion phase in patients naïve or refractory to CDK4/6 inhibitor therapy. Results: Patients (N = 116) received triplet therapy (n = 83 in the dose-escalation phase; n = 33 in the dose-expansion phase). A dose-dependent drug–drug interaction was observed for everolimus, with exposure increasing two- to fourfold in the presence of ribociclib. The RP2D was determined to be ribociclib 300 mg once daily, 3 weeks on/1 week off in a 4-week cycle, plus everolimus 2.5 mg once daily, plus exemestane 25 mg once daily taken with food. The safety profile was consistent with the known profiles of the combination partners, and preliminary evidence of antitumor activity was observed. Higher ESR1 gene expression trended with better treatment response to triplet therapy; higher gene expression of MAPK pathway genes trended with worse treatment response. Conclusions: Triplet therapy with endocrine therapy and mTOR and CDK4/6 inhibition provides clinical benefit and an acceptable safety profile in previously treated postmenopausal women with HR+, HER2− ABC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".