Clinical efficacy of palbociclib-based therapy in women with HR+/HER2- metastatic breast cancer in the real-world setting for Chinese women: a comparison with the IRIS study.
Bibliographic record
Abstract
OBJECTIVE: This retrospective study aimed to explore the clinical efficacy of palbociclib with endocrine therapy (ET) in women with hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) metastatic breast cancer in real-world practice. PATIENTS AND METHODS: This retrospective study analyzed the medical records of patients to determine treatment outcomes. Progression-free survival (PFS) curves were generated using log-rank tests with the Kaplan-Meier method. Treatment outcomes in Chinese patients were compared with those in patients from the USA, Argentina, Canada, and Europe in the IRIS study. RESULTS: In total, 69 patients were included in this study. The median PFS was 12.8 months (95% confidence interval: 10.1-15.5). A longer PFS was observed for patients with bone-only metastases, no liver metastases, no previous palliative chemotherapy, no previous palliative ET, and ET sensitivity. The overall response rate was 10.1%, and the clinical benefit rate was 78.3%. Nineteen patients (27.5%) received a reduced dose of palbociclib according to the decision of their physicians. Dose reduction did not affect the clinical efficacy of the combined treatment. Compared with those in the IRIS study, Chinese patients receiving palbociclib-based treatment were younger, and they had fewer bone-only metastases and more visceral and liver metastases. The clinical benefit rate and overall response rate for Chinese patients were lower than those observed for the patients in the IRIS study. CONCLUSIONS: ET combined with palbociclib treatment was effective and well-tolerated in HR+/HER2- metastatic breast cancer patients in the real-world setting. Earlier use of palbociclib-ET was associated with more clinical benefits in HR+/HER2- metastatic breast cancer.
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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 | 0.002 | 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 | 0.000 |
| 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".