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

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          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.

          Highlights

          • At present, immune checkpoint inhibitors (ICIs) are the only approved immunotherapy drugs in BC.

          • Tumour PD-L1 and microsatellite status are current companion biomarkers for ICIs in BC; however, these need improvement.

          • Evaluation of tumour immune contexture and the dynamics of circulating immune cell counts are promising novel approaches.

          • Development of noninvasive monitoring and composite biomarkers will facilitate cancer immunotherapy, including in BC.

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          Most cited references167

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          Pembrolizumab versus Chemotherapy for PD-L1–Positive Non–Small-Cell Lung Cancer

          Pembrolizumab is a humanized monoclonal antibody against programmed death 1 (PD-1) that has antitumor activity in advanced non-small-cell lung cancer (NSCLC), with increased activity in tumors that express programmed death ligand 1 (PD-L1).
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            Signatures of mutational processes in human cancer

            All cancers are caused by somatic mutations. However, understanding of the biological processes generating these mutations is limited. The catalogue of somatic mutations from a cancer genome bears the signatures of the mutational processes that have been operative. Here, we analysed 4,938,362 mutations from 7,042 cancers and extracted more than 20 distinct mutational signatures. Some are present in many cancer types, notably a signature attributed to the APOBEC family of cytidine deaminases, whereas others are confined to a single class. Certain signatures are associated with age of the patient at cancer diagnosis, known mutagenic exposures or defects in DNA maintenance, but many are of cryptic origin. In addition to these genome-wide mutational signatures, hypermutation localized to small genomic regions, kataegis, is found in many cancer types. The results reveal the diversity of mutational processes underlying the development of cancer with potential implications for understanding of cancer etiology, prevention and therapy.
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              Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer.

              Immune checkpoint inhibitors, which unleash a patient's own T cells to kill tumors, are revolutionizing cancer treatment. To unravel the genomic determinants of response to this therapy, we used whole-exome sequencing of non-small cell lung cancers treated with pembrolizumab, an antibody targeting programmed cell death-1 (PD-1). In two independent cohorts, higher nonsynonymous mutation burden in tumors was associated with improved objective response, durable clinical benefit, and progression-free survival. Efficacy also correlated with the molecular smoking signature, higher neoantigen burden, and DNA repair pathway mutations; each factor was also associated with mutation burden. In one responder, neoantigen-specific CD8+ T cell responses paralleled tumor regression, suggesting that anti-PD-1 therapy enhances neoantigen-specific T cell reactivity. Our results suggest that the genomic landscape of lung cancers shapes response to anti-PD-1 therapy. Copyright © 2015, American Association for the Advancement of Science.
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                Author and article information

                Contributors
                Journal
                ESMO Open
                ESMO Open
                ESMO Open
                Elsevier
                2059-7029
                03 September 2021
                October 2021
                03 September 2021
                : 6
                : 5
                : 100257
                Affiliations
                [1]Department of Pathology, University Clermont Auvergne, INSERM U1240, Centre Jean Perrin, Clermont-Ferrand, France
                Author notes
                [] Correspondence to: Dr Nina Radosevic-Robin, Department of Pathology, University Clermont Auvergne, INSERM U1240, Centre Jean Perrin, 58 rue Montalembert, 63011 Clermont-Ferrand, France. Tel: +33-(0)-473278499; Fax: +33-(0)-473278180 nina.robin@ 123456clermont.unicancer.fr
                [†]

                Equal contribution.

                Article
                S2059-7029(21)00219-2 100257
                10.1016/j.esmoop.2021.100257
                8426207
                34487970
                d7597d8c-6aca-4b50-961c-1159d5afdb39
                © 2021 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                Categories
                Review

                breast cancer,immunotherapy,immune checkpoint inhibitors,biomarkers,pd-l1

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