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Review
. 2016 Apr;11(2):108-15.
doi: 10.1159/000445335. Epub 2016 Apr 26.

Checkpoint Inhibitors and Their Application in Breast Cancer

Affiliations
Review

Checkpoint Inhibitors and Their Application in Breast Cancer

Davide Bedognetti et al. Breast Care (Basel). 2016 Apr.

Abstract

Immune checkpoints are crucial for the maintenance of self-tolerance and for the modulation of immune responses in order to minimize tissue damage. Tumor cells take advantage of these mechanisms to evade immune recognition. A significant proportion of tumors, including breast cancers, can express co-inhibitory molecules that are important formediating the escape from T cell-mediated immune surveillance. The interaction of inhibitory receptors with their ligands can be blocked by specific molecules. Monoclonal antibodies (mAbs) directed against the cytotoxic T lymphocyte-associated antigen-4 (CTLA4) and, more recently, against the programmed cell death protein 1 (PD1), have been approved for the therapy of melanoma (anti-CTLA4 and anti-PD1 mAbs) and non-small cell lung cancer (anti-PD1 mAbs). Moreover, inhibition of PD1 signaling has shown extremely promising signs of activity in breast cancer. An increasing number of molecules directed against other immune checkpoints are currently under clinical development. In this review, we summarize the evidence supporting the implementation of checkpoint inhibition in breast cancer by reviewing in detail data on PD-L1 expression and its regulation. In addition, opportunities to boost anti-tumor immunity in breast cancer with checkpoint inhibitor-based immunotherapies alone and in combination with other treatment options will be discussed.

Keywords: Antibody therapy; Biomarker; Breast cancer; Immune system; Immunomodulation; Immunotherapy; Tumor marker.

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Figures

Fig. 1
Fig. 1
Copy number variation and transcript levels: ERBB2 (HER2) vs. CD274 (PD-L1). The relationship between copy number variations and transcript levels for ERB2 and CD274 in the TCGA (The Cancer Genome Atlas) breast cancer datasets is shown. Plots are generated with cBioportal (www.cbioportal.org/) [103].

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