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Review
. 2021 Oct;6(5):100257.
doi: 10.1016/j.esmoop.2021.100257. Epub 2021 Sep 3.

Refining patient selection for breast cancer immunotherapy: beyond PD-L1

M Kossai  1 , N Radosevic-Robin  2 , F Penault-Llorca  1
Affiliations
Review

Refining patient selection for breast cancer immunotherapy: beyond PD-L1

M Kossai et al. ESMO Open. 2021 Oct.

Abstract

Therapies that modulate immune response to cancer, such as immune checkpoint inhibitors, began an intense development a few years ago; however, in breast cancer (BC), the results have been relatively disappointing so far. Finding biomarkers for better selection of BC patients for various immunotherapies remains a significant unmet medical need. At present, only tumour tissue programmed death-ligand 1 (PD-L1) and mismatch repair deficiency status are approved as theranostic biomarkers for programmed cell death-1 (PD-1)/PD-L1 inhibitors in BC. However, due to the complexity of tumour microenvironment (TME) and cancer response to immunomodulators, none of them is a perfect selector. Therefore, an intense quest is ongoing for complementary tumour- or host-related predictive biomarkers in breast immuno-oncology. Among the upcoming biomarkers, quantity, immunophenotype and spatial distribution of tumour-infiltrating lymphocytes and other TME cells as well as immune gene signatures emerge as most promising and are being increasingly tested in clinical trials. Biomarkers or strategies allowing dynamic assessment of BC response to immunotherapy, such as circulating/exosomal PD-L1, quantity of white/immune blood cell subpopulations and molecular imaging are particularly suitable for immunotreatment monitoring. Finally, host-related factors, such as microbiome and lifestyle, should also be taken into account when planning integration of immunomodulating therapies into BC management. As none of the biomarkers taken separately is accurate enough, the solution could come from composite biomarkers, which would combine clinical, molecular and immunological features of the disease, possibly powered by artificial intelligence.

Keywords: PD-L1; biomarkers; breast cancer; immune checkpoint inhibitors; immunotherapy.

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Conflict of interest statement

Disclosure FP-L declares that her institution (Centre Jean Perrin) has received grants or contracts from Roche, AstraZeneca, Bristol Myers Squibb (BMS), Merck Sharp & Dohme (MSD) and Pfizer in the past 36 months. During the same period, she or her institution has received consulting fees from the same biopharmaceutical companies. She also received payment or honoraria for lectures, presentations, speaker bureaus, manuscript writing or educational events from Roche and AstraZeneca during the mentioned period. MK and NR-R have no competing interests to declare.

Figures

Figure 1
Figure 1
An overview of the main biomarkers for immunotherapy in breast cancer. 18F-FDG, 18F-fluorodeoxyglucose; HRD, homologous recombination deficiency; LDH, lactate dehydrogenase; MMR, mismatch repair; NLR, neutrophil-to-lymphocyte ratio; PD-1, programmed cell death-1; PD-L1, programmed death-ligand 1; PET, positron emission tomography; PLR, platelet-to-lymphocyte ratio; TILs, tumour infiltrating lymphocytes; TLSs, tertiary lymphoid structures; TMB, tumour mutational burden.
See this image and copyright information in PMC

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