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      Advances in the development of personalized neoantigen-based therapeutic cancer vaccines

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          Abstract

          Within the past decade, the field of immunotherapy has revolutionized the treatment of many cancers with the development and regulatory approval of various immune-checkpoint inhibitors and chimeric antigen receptor T cell therapies in diverse indications. Another promising approach to cancer immunotherapy involves the use of personalized vaccines designed to trigger de novo T cell responses against neoantigens, which are highly specific to tumours of individual patients, in order to amplify and broaden the endogenous repertoire of tumour-specific T cells. Results from initial clinical studies of personalized neoantigen-based vaccines, enabled by the availability of rapid and cost-effective sequencing and bioinformatics technologies, have demonstrated robust tumour-specific immunogenicity and preliminary evidence of antitumour activity in patients with melanoma and other cancers. Herein, we provide an overview of the complex process that is necessary to generate a personalized neoantigen vaccine, review the types of vaccine-induced T cells that are found within tumours and outline strategies to enhance the T cell responses. In addition, we discuss the current status of clinical studies testing personalized neoantigen vaccines in patients with cancer and considerations for future clinical investigation of this novel, individualized approach to immunotherapy.

          Abstract

          Personalized neoantigen-based therapeutic vaccines hold promise as cancer immunotherapies. This Review provides an overview of the complex personalized neoantigen vaccine production process, vaccine-induced T cell responses and strategies to enhance these responses. Completed and ongoing clinical studies testing such vaccines are discussed, and considerations for future clinical investigation of this novel, individualized form of immunotherapy are outlined.

          Key points

          • Personalized therapeutic cancer vaccines predicated on neoantigens have been shown to be feasible, safe and immunogenic in patients with melanoma and glioblastoma.

          • Different vaccine formats and delivery strategies are currently being tested in clinical studies involving patients with various tumour types.

          • Deeper evaluation of the phenotypes, functionality and long-lasting memory potential of vaccine-induced neoantigen-specific CD4 + and CD8 + T cells is warranted to improve understanding of their therapeutic activity and optimize vaccination strategies.

          • Neoantigen target discovery is continually being advanced to improve the identification of immunogenic neoepitopes that can be recognized by CD8 + T cells; algorithms for the more challenging task of predicting CD4 + T cell neoepitopes are also emerging.

          • Innovative vaccine delivery platforms and the most effective timing of combinatorial therapies should be further explored to reduce costs and time delays and increase clinical efficacy.

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          Most cited references146

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          PD-1 Blockade in Tumors with Mismatch-Repair Deficiency.

          Somatic mutations have the potential to encode "non-self" immunogenic antigens. We hypothesized that tumors with a large number of somatic mutations due to mismatch-repair defects may be susceptible to immune checkpoint blockade.
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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
                patrick_ott@dfci.harvard.edu
                Journal
                Nat Rev Clin Oncol
                Nat Rev Clin Oncol
                Nature Reviews. Clinical Oncology
                Nature Publishing Group UK (London )
                1759-4774
                1759-4782
                20 January 2021
                : 1-15
                Affiliations
                [1 ]GRID grid.65499.37, ISNI 0000 0001 2106 9910, Department of Medical Oncology, , Dana-Farber Cancer Institute, ; Boston, MA USA
                [2 ]GRID grid.62560.37, ISNI 0000 0004 0378 8294, Department of Medicine, , Brigham and Women’s Hospital, ; Boston, MA USA
                [3 ]GRID grid.38142.3c, ISNI 000000041936754X, Harvard Medical School, ; Boston, MA USA
                [4 ]GRID grid.66859.34, Broad Institute of MIT and Harvard, ; Cambridge, MA USA
                Article
                460
                10.1038/s41571-020-00460-2
                7816749
                33473220
                d5149822-6a67-42c4-9d40-7f1f339e11cd
                © Springer Nature Limited 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 30 November 2020
                Categories
                Review Article

                cancer immunotherapy,tumour immunology,predictive markers,immunotherapy,drug development

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