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      Fasting-Mimicking Diet Is Safe and Reshapes Metabolism and Antitumor Immunity in Patients with Cancer

      research-article
      1 , 2 , * , , 1 , 1 , 3 , 4 , 5 , 2 , 1 , 6 , 7 , 5 , 3 , 8 , 9 , 2 , 2 , 2 , 3 , 3 , 3 , 3 , 3 , 10 , 11 , 11 , 12 , 12 , 1 , 1 , 1 , 8 , 7 , 13 , 2 , 4 , 2 , 14 , 15 , 16 , 4 , 5 , 6 , 17 , 18 , 3 , * , , 1 , 4
      Cancer Discovery
      American Association for Cancer Research

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          Abstract

          Cyclic, severe calorie restriction is safe in patients with cancer, and it reduces blood glucose and growth factor concentration as well as activates cytotoxic immune cells in peripheral blood and in the tumor microenvironment.

          Abstract

          In tumor-bearing mice, cyclic fasting or fasting-mimicking diets (FMD) enhance the activity of antineoplastic treatments by modulating systemic metabolism and boosting antitumor immunity. Here we conducted a clinical trial to investigate the safety and biological effects of cyclic, five-day FMD in combination with standard antitumor therapies. In 101 patients, the FMD was safe, feasible, and resulted in a consistent decrease of blood glucose and growth factor concentration, thus recapitulating metabolic changes that mediate fasting/FMD anticancer effects in preclinical experiments. Integrated transcriptomic and deep-phenotyping analyses revealed that FMD profoundly reshapes anticancer immunity by inducing the contraction of peripheral blood immunosuppressive myeloid and regulatory T-cell compartments, paralleled by enhanced intratumor Th1/cytotoxic responses and an enrichment of IFNγ and other immune signatures associated with better clinical outcomes in patients with cancer. Our findings lay the foundations for phase II/III clinical trials aimed at investigating FMD antitumor efficacy in combination with standard antineoplastic treatments.

          Significance:

          Cyclic FMD is well tolerated and causes remarkable systemic metabolic changes in patients with different tumor types and treated with concomitant antitumor therapies. In addition, the FMD reshapes systemic and intratumor immunity, finally activating several antitumor immune programs. Phase II/III clinical trials are needed to investigate FMD antitumor activity/efficacy.

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          Most cited references50

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          Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade.

          The Cancer Genome Atlas revealed the genomic landscapes of human cancers. In parallel, immunotherapy is transforming the treatment of advanced cancers. Unfortunately, the majority of patients do not respond to immunotherapy, making the identification of predictive markers and the mechanisms of resistance an area of intense research. To increase our understanding of tumor-immune cell interactions, we characterized the intratumoral immune landscapes and the cancer antigenomes from 20 solid cancers and created The Cancer Immunome Atlas (https://tcia.at/). Cellular characterization of the immune infiltrates showed that tumor genotypes determine immunophenotypes and tumor escape mechanisms. Using machine learning, we identified determinants of tumor immunogenicity and developed a scoring scheme for the quantification termed immunophenoscore. The immunophenoscore was a superior predictor of response to anti-cytotoxic T lymphocyte antigen-4 (CTLA-4) and anti-programmed cell death protein 1 (anti-PD-1) antibodies in two independent validation cohorts. Our findings and this resource may help inform cancer immunotherapy and facilitate the development of precision immuno-oncology.
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            Pembrolizumab plus Chemotherapy in Metastatic Non–Small-Cell Lung Cancer

            First-line therapy for advanced non-small-cell lung cancer (NSCLC) that lacks targetable mutations is platinum-based chemotherapy. Among patients with a tumor proportion score for programmed death ligand 1 (PD-L1) of 50% or greater, pembrolizumab has replaced cytotoxic chemotherapy as the first-line treatment of choice. The addition of pembrolizumab to chemotherapy resulted in significantly higher rates of response and longer progression-free survival than chemotherapy alone in a phase 2 trial.
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              xCell: digitally portraying the tissue cellular heterogeneity landscape

              Tissues are complex milieus consisting of numerous cell types. Several recent methods have attempted to enumerate cell subsets from transcriptomes. However, the available methods have used limited sources for training and give only a partial portrayal of the full cellular landscape. Here we present xCell, a novel gene signature-based method, and use it to infer 64 immune and stromal cell types. We harmonized 1822 pure human cell type transcriptomes from various sources and employed a curve fitting approach for linear comparison of cell types and introduced a novel spillover compensation technique for separating them. Using extensive in silico analyses and comparison to cytometry immunophenotyping, we show that xCell outperforms other methods. xCell is available at http://xCell.ucsf.edu/. Electronic supplementary material The online version of this article (doi:10.1186/s13059-017-1349-1) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                Cancer Discov
                Cancer Discov
                Cancer Discovery
                American Association for Cancer Research
                2159-8274
                2159-8290
                01 January 2022
                17 November 2021
                : 12
                : 1
                : 90-107
                Affiliations
                [1 ]Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
                [2 ]IFOM, The FIRC Institute of Molecular Oncology, Milan, Italy.
                [3 ]Unit of Immunotherapy of Human Tumors, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
                [4 ]Oncology and Haemato-Oncology Department, University of Milan, Milan, Italy.
                [5 ]Deparment of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
                [6 ]Immunology Department, Cancer Program, Sidra Medicine, Doha, Qatar.
                [7 ]Department of Experimental Oncology, European Institute of Oncology (IEO), IRCCS, Milan, Italy.
                [8 ]Molecular Immunology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
                [9 ]Tumor Immunology Unit, Department of Health Sciences, University of Palermo, Palermo, Italy.
                [10 ]Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar.
                [11 ]Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.
                [12 ]Breast Unit, Fondazione IRCCS Istituto Nazionale dei Tumori. Milan 20133, Italy.
                [13 ]Department of Biosciences, University of Milan, Milan, Italy.
                [14 ]Longevity Institute, School of Gerontology, Department of Biological Sciences, University of Southern California, Los Angeles, California.
                [15 ]Scientific Directorate, Fondazione IRCCS Istituto Nazionale dei Tumori. Milan, Italy.
                [16 ]Laboratory of Methodology for Biomedical Research, Istituto di Ricerche Farmacologiche “Mario Negri” IRCCS, Milan, Italy.
                [17 ]Dipartimento di Medicina Interna e Specialità Mediche, Università degli Studi di Genova, Genova, Italy.
                [18 ]College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
                Author notes
                [#]

                D. Bedognetti, L. Rivoltini, and F. de Braud contributed equally to this article.

                [* ] Corresponding Authors: Claudio Vernieri, IFOM, The FIRC Institute of Molecular Oncology and Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. Phone: 390223903066; E-mail: claudio.vernieri@ 123456istitutotumori.mi.it or claudio.vernieri@ 123456ifom.eu ; and Licia Rivoltini, licia.rivoltini@ 123456istitutotumori.mi.it
                Author information
                https://orcid.org/0000-0002-1560-2253
                https://orcid.org/0000-0002-9827-3976
                https://orcid.org/0000-0001-8851-7730
                https://orcid.org/0000-0003-3253-7091
                https://orcid.org/0000-0002-8011-6382
                https://orcid.org/0000-0002-4472-628X
                https://orcid.org/0000-0002-7644-9969
                https://orcid.org/0000-0003-2261-4911
                https://orcid.org/0000-0002-2819-0630
                https://orcid.org/0000-0003-0042-7955
                https://orcid.org/0000-0002-0946-7534
                https://orcid.org/0000-0001-5179-104X
                Article
                CD-21-0030
                10.1158/2159-8290.CD-21-0030
                9762338
                34789537
                aa7b45ed-d165-4c84-90b7-c840dfe05c17
                ©2021 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

                History
                : 11 January 2021
                : 04 August 2021
                : 22 October 2021
                Page count
                Pages: 18
                Funding
                Funded by: Associazione Italiana per la Ricerca sul Cancro, DOI https://doi.org/10.13039/501100005010;
                Award ID: IG-2017 no. 20752
                Award ID: MFAG-2019 no. 22977
                Funded by: European Union Framework Program Horizon 2020, DOI ;
                Award ID: TRANSCAN-2
                Award ID: TRS-2016-00000393
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                Research Articles

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