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      A multicenter study of body mass index in cancer patients treated with anti-PD-1/PD-L1 immune checkpoint inhibitors: when overweight becomes favorable

      research-article
      1 , 2 , 23 , , 3 , 4 , 3 , 2 , 5 , 3 , 6 , 3 , 4 , 3 , 7 , 8 , 8 , 9 , 9 , 10 , 11 , 5 , 5 , 5 , 6 , 6 , 12 , 6 , 12 , 12 , 13 , 14 , 14 , 15 , 15 , 16 , 16 , 17 , 17 , 18 , 18 , 18 , 19 , 20 , 20 , 1 , 2 , 1 , 2 , 21 , 2 , 22 , 1 , 2 , 8
      Journal for Immunotherapy of Cancer
      BioMed Central
      BMI, Anti-PD-1/PD-L1, Overweight, Obesity, Cancer, Immunotherapy

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          Abstract

          Background

          Recent evidence suggested a potential correlation between overweight and the efficacy of immune checkpoint inhibitors (ICIs) in cancer patients.

          Patients and methods

          We conducted a retrospective study of advanced cancer patients consecutively treated with anti-PD-1/PD-L1 inhibitors, in order to compare clinical outcomes according to baseline BMI levels as primary analysis. Based on their BMI, patients were categorized into overweight/obese (≥ 25) and non-overweight (< 25). A gender analysis was also performed, using the same binomial cut-off. Further subgroup analyses were performed categorizing patients into underweight, normal weight, overweight and obese.

          Results

          Between September 2013 and May 2018, 976 patients were evaluated. The median age was 68 years, male/female ratio was 663/313. Primary tumors were: NSCLC (65.1%), melanoma (18.7%), renal cell carcinoma (13.8%) and others (2.4%). ECOG-PS was ≥2 in 145 patients (14.9%). PD-1/PD-L1 inhibitors were administered as first-line treatment in 26.6% of cases. Median BMI was 24.9: 492 patients (50.6%) were non-overweight, 480 patients (50.4%) were overweight/obese. 25.2% of non-overweight patients experienced irAEs of any grade, while 55.6% of overweight/obese patients ( p < 0.0001). ORR was significantly higher in overweight/obese patients compared to non-overweight (p < 0.0001). Median follow-up was 17.2 months. Median TTF, PFS and OS were significantly longer for overweight/obese patients in univariate (p < 0.0001, for all the survival intervals) and multivariate models ( p = 0.0009, p < 0.0001 and p < 0.0001 respectively). The significance was confirmed in both sex, except for PFS in male patients ( p = 0.0668).

          Conclusions

          Overweight could be considered a tumorigenic immune-dysfunction that could be effectively reversed by ICIs. BMI could be a useful predictive tool in clinical practice and a stratification factor in prospective clinical trials with ICIs.

          Electronic supplementary material

          The online version of this article (10.1186/s40425-019-0527-y) contains supplementary material, which is available to authorized users.

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          Most cited references24

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          Adipokines in inflammation and metabolic disease.

          The worldwide epidemic of obesity has brought considerable attention to research aimed at understanding the biology of adipocytes (fat cells) and the events occurring in adipose tissue (fat) and in the bodies of obese individuals. Accumulating evidence indicates that obesity causes chronic low-grade inflammation and that this contributes to systemic metabolic dysfunction that is associated with obesity-linked disorders. Adipose tissue functions as a key endocrine organ by releasing multiple bioactive substances, known as adipose-derived secreted factors or adipokines, that have pro-inflammatory or anti-inflammatory activities. Dysregulated production or secretion of these adipokines owing to adipose tissue dysfunction can contribute to the pathogenesis of obesity-linked complications. In this Review, we focus on the role of adipokines in inflammatory responses and discuss their potential as regulators of metabolic function.
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            Cancer immunotherapy efficacy and patients' sex: a systematic review and meta-analysis

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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
                00390862368709 , alessiocortellini@gmail.com
                Journal
                J Immunother Cancer
                J Immunother Cancer
                Journal for Immunotherapy of Cancer
                BioMed Central (London )
                2051-1426
                27 February 2019
                27 February 2019
                2019
                : 7
                : 57
                Affiliations
                [1 ]Medical Oncology, St. Salvatore Hospital, L’Aquila, Italy
                [2 ]ISNI 0000 0004 1757 2611, GRID grid.158820.6, Department of Biotechnological and Applied Clinical Sciences, , University of L’Aquila, ; L’Aquila, Italy
                [3 ]GRID grid.411482.a, Medical Oncology, , University Hospital of Parma, ; Parma, Italy
                [4 ]ISNI 0000 0004 1758 0937, GRID grid.10383.39, Department of Medicine and Surgery, , University of Parma, ; Parma, Italy
                [5 ]ISNI 0000 0004 1757 5329, GRID grid.9657.d, Medical Oncology, , Campus Bio-Medico University, ; Rome, Italy
                [6 ]GRID grid.7841.a, Department of Clinical and Molecular Medicine, , Sant’Andrea Hospital, Sapienza University of Rome, ; Rome, Italy
                [7 ]Clinical Oncology Unit, S.S. Annunziata Hospital, Chieti, Italy
                [8 ]ISNI 0000 0001 2181 4941, GRID grid.412451.7, Department of Medical, , Oral & Biotechnological Sciences University G. D’Annunzio, ; Chieti-Pescara, Italy
                [9 ]Medical Oncology, Santa Maria Goretti Hospital, Latina, Italy
                [10 ]ISNI 0000 0004 1756 8209, GRID grid.144189.1, Department of Oncology, , University Hospital of Pisa, Istituto Toscano Tumori, ; Pisa, Italy
                [11 ]Medical Oncology, “Santo Spirito” Hospital, Pescara, Italy
                [12 ]ISNI 0000 0004 1758 0179, GRID grid.419457.a, Istituto Dermopatico dell’Immacolata, IDI-IRCCS, ; Rome, Italy
                [13 ]ISNI 0000 0004 1769 5275, GRID grid.413363.0, Medical Oncology, , University Hospital of Modena, ; Modena, Italy
                [14 ]Medical Oncology, Fermo Area Vasta 4, Fermo, Italy
                [15 ]ISNI 0000 0001 1017 3210, GRID grid.7010.6, Oncology Clinic, , Università Politecnica delle Marche, Ospedali Riuniti di Ancona, ; Ancona, Italy
                [16 ]Medical Oncology, AV2 Fabriano ASUR Marche, Pescara, Italy
                [17 ]Medical Oncology Unit, University Hospital of Cagliari, Cagliari, Italy
                [18 ]ISNI 0000 0004 1760 3158, GRID grid.417287.f, Medical Oncology, , Santa Maria della Misericordia Hospital, ; Perugia, Italy
                [19 ]Pulmonary Oncology Unit, St. Camillo Forlanini Hospital, Rome, Italy
                [20 ]GRID grid.7841.a, Medical Oncology (B), Policlinico Umberto I, , “Sapienza” University of Rome, ; Rome, Italy
                [21 ]GRID grid.415103.2, Dermatology, , San Salvatore Hospital, ; L’Aquila, Italy
                [22 ]ISNI 0000 0001 0807 2568, GRID grid.417893.0, Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, , Istituto Nazionale Tumori-IRCCS Fondazione “G. Pascale”, ; Naples, Italy
                [23 ]ISNI 0000 0004 1757 2611, GRID grid.158820.6, Medical Oncology Unit, St. Salvatore Hospital, Department of Biotechnological and Applied Clinical Sciences, , University of L’Aquila, ; Via Vetoio, 67100 L’Aquila, Italy
                Author information
                http://orcid.org/0000-0002-1209-5735
                Article
                527
                10.1186/s40425-019-0527-y
                6391761
                30813970
                cc046e06-cc85-45a0-ab60-d31ea7de8d1c
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 4 December 2018
                : 5 February 2019
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                bmi,anti-pd-1/pd-l1,overweight,obesity,cancer,immunotherapy
                bmi, anti-pd-1/pd-l1, overweight, obesity, cancer, immunotherapy

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