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      Weighing the role of skeletal muscle mass and muscle density in cancer patients receiving PD-1/PD-L1 checkpoint inhibitors: a multicenter real-life study

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          Abstract

          Sarcopenia represents one of the hallmarks of all chronic diseases, including cancer, and was already investigated as a prognostic marker in the pre-immunotherapy era. Sarcopenia can be evaluated using cross-sectional image analysis of CT-scans, at the level of the third lumbar vertebra (L3), to estimate the skeletal muscle index (SMI), a surrogate of skeletal muscle mass, and to evaluate the skeletal muscle density (SMD). We performed a retrospective analysis of consecutive advanced cancer patient treated with PD-1/PD-L1 checkpoint inhibitors. Baseline SMI and SMD were evaluated and optimal cut-offs for survival, according to sex and BMI (+/−25) were computed. The evaluated clinical outcomes were: objective response rate (ORR), immune-related adverse events (irAEs), progression free survival (PFS) and overall survival (OS). From April 2015 to April 2019, 100 consecutive advanced cancer patients were evaluated. 50 (50%) patients had a baseline low SMI, while 51 (51%) had a baseline low SMD according to the established cut offs. We found a significant association between SMI and ECOG-PS (p = 0.0324), while no correlations were found regarding SMD and baseline clinical factors. The median follow-up was 20.3 months. Patients with low SMI had a significantly shorter PFS (HR = 1.66 [95% CI: 1.05–2.61]; p = 0.0291) at univariate analysis, but not at the multivariate analysis. They also had a significantly shorter OS (HR = 2.19 [95% CI: 1.31–3.64]; p = 0.0026). The multivariate analysis confirmed baseline SMI as an independent predictor for OS (HR = 2.19 [1.31–3.67]; p = 0.0027). We did not find significant relationships between baseline SMD and clinical outcomes, nor between ORR, irAEs and baseline SMI (data not shown). Low SMI is associated with shortened survival in advanced cancer patients treated with PD1/PDL1 checkpoint inhibitors. However, the lack of an association between SMI and clinical response suggests that sarcopenia may be generally prognostic in this setting rather than specifically predictive of response to immunotherapy.

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          Cancer immunotherapy efficacy and patients' sex: a systematic review and meta-analysis

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            Paradoxical effects of obesity on T cell function during tumor progression and PD-1 checkpoint blockade

            The recent successes of immunotherapy have shifted the paradigm in cancer treatment but since only a percentage of patients respond, it is imperative to identify factors impacting outcome. Obesity is reaching pandemic proportions and is a major risk factor for certain malignancies, but the impact of obesity on immune responses, in general, and in cancer immunotherapy, in particular, is poorly understood. Here we demonstrate, across multiple species and tumor models, that obesity results in increased immune aging, tumor progression and PD-1-mediated T cell dysfunction which is driven, at least in part, by leptin. Strikingly however, obesity is also associated with increased efficacy of PD-1/PD-L1 blockade in both tumor-bearing mice and clinical cancer patients. These findings advance our understanding of obesity-induced immune dysfunction and its consequences in cancer and highlight obesity as a biomarker for some cancer immunotherapies. These data indicate a paradoxical impact of obesity on cancer. There is heightened immune dysfunction and tumor progression but also greater anti-tumor efficacy and survival following checkpoint blockade which directly targets some of the pathways activated in obesity.
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              Association of body-mass index and outcomes in patients with metastatic melanoma treated with targeted therapy, immunotherapy, or chemotherapy: a retrospective, multicohort analysis

              Obesity has been linked to increased mortality in several cancer types; however, the relation between obesity and survival outcomes in metastatic melanoma is unknown. The aim of this study was to examine the association between body-mass index (BMI) and progression-free survival or overall survival in patients with metastatic melanoma who received targeted therapy, immunotherapy, or chemotherapy.
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                Author and article information

                Contributors
                alessiocortellini@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                29 January 2020
                29 January 2020
                2020
                : 10
                : 1456
                Affiliations
                [1 ]ISNI 0000 0004 1757 2611, GRID grid.158820.6, Medical Oncology, San Salvatore Hospital, , University of L’Aquila, ; L’Aquila, Italy
                [2 ]ISNI 0000 0004 1757 2611, GRID grid.158820.6, Department of Biotechnology and Applied Clinical Sciences, , University of L’Aquila, ; L’Aquila, Italy
                [3 ]ISNI 0000 0004 1757 2822, GRID grid.4708.b, Faculty of Medicine, , University of Milan, ; Milan, Italy
                [4 ]Radiology Department, St. Salvatore Hospital, L’Aquila, Italy
                [5 ]Clinical Oncology Unit, S.S. Annunziata Hospital, Chieti, Italy
                [6 ]ISNI 0000 0001 2181 4941, GRID grid.412451.7, Department of Medical, Oral and Biotechnological Sciences, , University G. D’Annunzio, ; Chieti, Italy
                [7 ]ISNI 0000 0001 2181 4941, GRID grid.412451.7, Department of neuroscience, Imaging and clinical Science, , University G.D’Annunzio, ; Chieti, Italy
                [8 ]ISNI 0000 0001 2181 4941, GRID grid.412451.7, Section of Integrated Imaging and Radiological Therapies, Department of Neuroscience, , University of Chieti, ; Chieti, Italy
                [9 ]ISNI 0000 0001 2291 4776, GRID grid.240145.6, Department of Melanoma Medical Oncology, , The University of Texas MD Anderson Cancer Center, ; Houston, TX USA
                Author information
                http://orcid.org/0000-0002-1209-5735
                Article
                58498
                10.1038/s41598-020-58498-2
                6989679
                31996766
                269bf03e-0151-47b1-80c3-d4d1ec3d2584
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 September 2019
                : 13 January 2020
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                cancer microenvironment,tumour immunology
                Uncategorized
                cancer microenvironment, tumour immunology

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