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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.

AbstractBACKGROUND:
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.
AuthorsAlessio Cortellini, Melissa Bersanelli, Sebastiano Buti, Katia Cannita, Daniele Santini, Fabiana Perrone, Raffaele Giusti, Marcello Tiseo, Maria Michiara, Pietro Di Marino, Nicola Tinari, Michele De Tursi, Federica Zoratto, Enzo Veltri, Riccardo Marconcini, Francesco Malorgio, Marco Russano, Cecilia Anesi, Tea Zeppola, Marco Filetti, Paolo Marchetti, Andrea Botticelli, Gian Carlo Antonini Cappellini, Federica De Galitiis, Maria Giuseppa Vitale, Francesca Rastelli, Federica Pergolesi, Rossana Berardi, Silvia Rinaldi, Marianna Tudini, Rosa Rita Silva, Annagrazia Pireddu, Francesco Atzori, Rita Chiari, Biagio Ricciuti, Andrea De Giglio, Daniela Iacono, Alain Gelibter, Mario Alberto Occhipinti, Alessandro Parisi, Giampiero Porzio, Maria Concetta Fargnoli, Paolo Antonio Ascierto, Corrado Ficorella, Clara Natoli
JournalJournal for immunotherapy of cancer (J Immunother Cancer) Vol. 7 Issue 1 Pg. 57 (02 27 2019) ISSN: 2051-1426 [Electronic] England
PMID30813970 (Publication Type: Journal Article, Multicenter Study, Research Support, Non-U.S. Gov't)
Chemical References
  • Antineoplastic Agents, Immunological
  • B7-H1 Antigen
  • Biomarkers, Tumor
  • CD274 protein, human
  • Programmed Cell Death 1 Receptor
Topics
  • Adult
  • Aged
  • Aged, 80 and over
  • Antineoplastic Agents, Immunological (pharmacology, therapeutic use)
  • B7-H1 Antigen (antagonists & inhibitors)
  • Biomarkers, Tumor
  • Body Mass Index
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Molecular Targeted Therapy
  • Neoplasm Staging
  • Neoplasms (drug therapy, epidemiology, pathology)
  • Obesity (epidemiology)
  • Overweight (epidemiology)
  • Programmed Cell Death 1 Receptor (antagonists & inhibitors)
  • Proportional Hazards Models
  • Treatment Outcome
  • Young Adult

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