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

  • 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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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.