Everolimus treatment in patients with hormone receptor-positive and human epidermal growth factor receptor 2-negative advanced breast cancer and a predictive model for its efficacy: a multicenter real-world study
- Yujing Tan 1, Zexi Peng 1, Hanfang Jiang 2, Fei Ma 1, Jiayu Wang 1, Pin Zhang 1, Qing Li 1, Xinzhu Tian 1, Yuhang Han 1, Danyang Ji 1, Binghe Xu 1, Weihong Zhao 3, Ying Fan 4
- Yujing Tan 1, Zexi Peng 1, Hanfang Jiang 2
- 1Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- 2Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Breast Oncology, Peking University Cancer Hospital and Institute, Beijing, China.
- 3Department of Medical Oncology, Chinese PLA General Hospital, Beijing 100853, China.
- 4Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
- 0Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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View abstract on PubMed
Summary
This summary is machine-generated.A new predictive model identifies risk factors for everolimus efficacy in advanced breast cancer (ABC). This tool helps predict survival outcomes for hormone receptor-positive and human epidermal growth factor receptor 2-negative (HR+/HER2-) ABC patients.
Area Of Science
- Oncology
- Pharmacology
- Clinical Medicine
Background
- Everolimus is a key treatment for hormone receptor-positive and human epidermal growth factor receptor 2-negative (HR+/HER2-) advanced breast cancer (ABC).
- Limited predictors exist for everolimus efficacy, and some patients develop drug resistance.
Purpose Of The Study
- To evaluate everolimus efficacy across different treatment lines in HR+/HER2- ABC.
- To identify clinicopathological markers for predicting everolimus efficacy in this patient population.
Main Methods
- Retrospective, multicenter study involving over 2000 patients treated with everolimus between 2014-2022 in China.
- Development of training and two validation cohorts.
- Analysis of clinicopathological characteristics and survival outcomes, including progression-free survival (PFS).
Main Results
- Median PFS for everolimus was 5.6 months (Objective Response Rate: 25.1%, Clinical Benefit Rate: 54.4%).
- PFS significantly decreased with later treatment lines (1L: 13.5 months, 2L: 6.1 months, 3L: 4.1 months).
- Independent risk factors for poor PFS included post-first-line everolimus treatment, Ki67 >40%, >2 metastatic sites at first recurrence, and adjuvant chemotherapy.
- A predictive model incorporating these four factors demonstrated strong predictive power (AUCs 0.94-0.96) and was validated internally and externally.
Conclusions
- A robust predictive model was developed to estimate survival outcomes for everolimus in HR+/HER2- ABC patients.
- This model can aid in clinical decision-making and management strategies for everolimus therapy in Chinese patients.
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