Real-World Predictors of Survival in CDK4/6 Inhibitor-Treated Metastatic Breast Cancer: The Significance of ER Expression Level and Treatment Naivety
Bibliographic record
Abstract
Objective: CDK4/6 inhibitors constitute standard first-line therapy for hormone receptor (HR)-positive, HER2-negative metastatic breast cancer (MBC). We investigated real-world predictors of overall survival (OS), with particular focus on high ER expression (≥90%). Methods: In this multicenter, retrospective study, we analyzed 603 HR-positive/HER2-negative MBC patients treated with CDK4/6 inhibitors (ribociclib or palbociclib) between May 2020 and June 2024. We evaluated demographic, clinical, and pathological factors for their impact on OS using univariate and multivariate Cox regression analyses. Results: In univariate analysis, significantly longer OS was observed in endocrine therapy-naive patients (median OS: 51.0 vs. 33.3 months; p < 0.001), those without liver metastases (50.0 vs. 34.0 months; p = 0.019), bone-only metastases (57.7 vs. 40.5 months; p = 0.022), and PR-positive patients (50.0 vs. 36.0 months; p = 0.037). Patients with ER expression ≥90% showed a strong trend toward longer OS (49.0 vs. 41.0 months; p = 0.072). In multivariate analysis, endocrine therapy naivety (p = 0.045) and high ER expression (≥90%) (p = 0.031) emerged as independent predictors of superior OS. Conclusions: Our study identifies treatment naivety and exceptionally high ER expression (≥90%) as key independent predictors of prolonged OS in CDK4/6 inhibitor-treated MBC patients. These findings underscore the importance of early CDK4/6 inhibitor implementation and suggest that quantitative ER assessment may refine patient selection beyond conventional positivity thresholds.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".