Pyrotinib for HER2-positive metastatic breast cancer: a systematic review and meta-analysis

Wenyu Hu1, Jixin Yang1, Ze Zhang2

  • 1Surgery of Thyroid Breast Vascular Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, China.

Abstract

Insights

Pyrotinib shows significant efficacy in treating HER2-positive metastatic breast cancer, offering good tumor response and survival benefits. This pan-ErbB inhibitor provides manageable adverse effects for patients with advanced disease.

Area of Science:

  • Oncology
  • Pharmacology

Background:

  • Human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer remains a challenge despite targeted therapies.
  • Pyrotinib, a small-molecule pan-ErbB receptor tyrosine kinase inhibitor (TKI), has emerged as a potential treatment option.

Purpose of the Study:

  • To systematically review and meta-analyze the efficacy and safety of Pyrotinib in treating HER2-positive metastatic breast cancer.

Main Methods:

  • Searched PubMed, Embase, Web of Science, and Cochrane Library databases up to February 2022.
  • Included prospective and retrospective studies of Pyrotinib for HER2-positive metastatic breast cancer.
  • Performed statistical pooling and meta-analysis to evaluate efficacy and safety.

Main Results:

  • Analyzed 23 studies, revealing an overall objective response rate (ORR) of 0.49 for Pyrotinib in HER2-positive metastatic breast cancer.
  • Pyrotinib showed a superior ORR compared to other second-line therapies but was inferior to trastuzumab emtansine (T-DM1).
  • Median progression-free survival (PFS) was 8.2 months; common adverse events included diarrhea (0.84 incidence) and nausea/vomiting (0.52 incidence).

Conclusions:

  • Pyrotinib-containing regimens demonstrate considerable tumor response, disease control, and survival in HER2-positive metastatic breast cancer.
  • The treatment offers manageable adverse effects, including diarrhea, nausea, and vomiting.
  • Pyrotinib is an effective option in any line of therapy for this patient population.