Sacituzumab-govitecan in metastatic triple-negative breast cancer: a multicenter effectiveness and safety study

Isabel María Carrión-Madroñal1, Rocío Díaz-Acedo2, Santiago José Lora-Escobar2

  • 1Servicio de Farmacia, Hospital Universitario Virgen Macarena, Seville, 41009, SPAIN.

PubMed

Insights

Sacituzumab-govitecan (Sgov) shows acceptable safety in metastatic triple-negative breast cancer (mTNBC) real-world data. However, effectiveness may be lower than expected, especially for patients with poorer performance status.

Area of Science:

  • Oncology
  • Pharmacology
  • Clinical Trials

Background:

  • Sacituzumab-govitecan (Sgov) is an antibody-drug conjugate approved for metastatic triple-negative breast cancer (mTNBC).
  • Limited real-world data exists for Sgov in mTNBC patients.
  • The pivotal ASCENT trial provides a benchmark for Sgov efficacy and safety.

Purpose of the Study:

  • To evaluate the real-world effectiveness and safety of Sgov in mTNBC patients.
  • To compare Sgov outcomes in a real-world setting with the ASCENT trial results.
  • To identify patient subgroups that may benefit less from Sgov treatment.

Main Methods:

  • Retrospective analysis of 46 mTNBC patients treated with Sgov across three major hospitals.
  • Data collection included patient demographics, Eastern Cooperative Oncology Group (ECOG) performance status, and treatment outcomes.
  • Comparison of real-world data with findings from the ASCENT trial.

Main Results:

  • Real-world effectiveness of Sgov appeared slightly lower than anticipated from clinical trials.
  • Patients with an ECOG performance status of two or higher demonstrated significantly reduced benefit from Sgov.
  • The safety profile of Sgov was deemed acceptable in this patient cohort.

Conclusions:

  • Sgov demonstrates an acceptable safety profile in real-world mTNBC treatment.
  • Real-world effectiveness may not fully align with pivotal trial data, particularly for patients with compromised performance status.
  • Further investigation into patient selection and treatment optimization for Sgov in mTNBC is warranted.