[PD-L1 expression and PD-1/PD-L1 inhibitors in breast cancer]

Audrey Monneur1, Anthony Gonçalves2, François Bertucci2

  • 1Institut Paoli-Calmettes, département d'oncologie médicale, 232, boulevard de Sainte-Marguerite, 13009 Marseille, France.

Bulletin Du Cancer
|February 20, 2018
PubMed

Insights

Immune checkpoint inhibitors targeting programmed cell death protein 1 (PD-1) and its ligand (PD-L1) show promise in treating breast cancer, especially triple-negative subtypes. Further research is needed to identify biomarkers for predicting treatment response.

Area of Science:

  • Oncology
  • Immunotherapy
  • Cancer Research

Background:

  • Immune checkpoint inhibitors (ICIs) targeting PD-1/PD-L1 have revolutionized cancer treatment.
  • Their efficacy is well-established in various solid tumors, including melanoma and lung cancer.
  • Breast cancer represents a critical area for exploring ICI applications.

Purpose of the Study:

  • To review current data on PD-L1 expression in breast cancer.
  • To synthesize preliminary clinical outcomes of PD-1/PD-L1 inhibitors in breast cancer patients.
  • To highlight the association between PD-L1 expression and breast cancer characteristics.

Main Methods:

  • Literature review of studies on PD-L1 expression in breast cancer.
  • Analysis of preliminary clinical trial data for PD-1/PD-L1 inhibitors in breast cancer.
  • Synthesis of information on prognostic and predictive factors.

Main Results:

  • PD-L1 expression in breast cancer is heterogeneous and linked to poor prognostic factors and aggressive subtypes.
  • Prognostic value of PD-L1 is controversial via immunohistochemistry but potentially favorable in triple-negative cancers at the mRNA level.
  • Early trials show efficacy of PD-1/PD-L1 inhibitors in refractory metastatic breast cancer, particularly triple-negative subtype.

Conclusions:

  • PD-1/PD-L1 inhibitors demonstrate preliminary efficacy in metastatic breast cancer, especially triple-negative.
  • Ongoing trials are evaluating ICIs in both metastatic and neoadjuvant settings.
  • Identifying predictive biomarkers for ICI response is crucial for optimizing breast cancer treatment.

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