Obesity and immune-checkpoint inhibitors in advanced melanoma: A meta-analysis of survival outcomes from clinical studies
Obesity is a chronic inflammatory condition that has been associated with different types of cancer. However, its role in melanoma incidence, progression, and response to immune-checkpoint-inhibitors (ICI) is still controversial. On the one hand, increased levels of lipids and adipokines can promote...
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Published in | Seminars in cancer biology Vol. 91; pp. 27 - 34 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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England
Elsevier Ltd
01.06.2023
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Abstract | Obesity is a chronic inflammatory condition that has been associated with different types of cancer. However, its role in melanoma incidence, progression, and response to immune-checkpoint-inhibitors (ICI) is still controversial. On the one hand, increased levels of lipids and adipokines can promote tumor proliferation and several genes associated with fatty acid metabolism have been found to be upregulated in melanomas. On the other hand, immunotherapy seems to be more effective in obese animal models, presumably due to an increase in CD8 + and subsequent decrease in PD-1 + T-cells in the tumor microenvironment. In humans, several studies have investigated the role of BMI (body mass index) and other adiposity-related parameters as potential prognostic markers of survival in advanced melanoma patients treated with ICI. The aim of this research has been to systematically review the scientific literature on studies evaluating the relationship between overweight/obesity and survival outcomes in patients with advanced melanoma treated with ICI and to perform a meta-analysis on those sharing common characteristics. After screening 1070 records identified through a literature search, 18 articles assessing the role of BMI-related exposure in relation to survival outcomes in ICI-treated patients with advanced melanoma were included in our review. In the meta-analysis of the association between overweight (defined as BMI>25 or BMI 25–30), overall survival (OS), and progression free survival (PFS), 7 studies were included, yielding a summary HR of 0.87 (95% CI: 0.74–1.03) and 0.96 (95% CI: 0.86–1.08), respectively. Our results show that, despite few suggestive findings, the use of BMI as a valuable predictor of melanoma patients’ survival in terms of PFS and OS should not be currently recommended, due to the limited evidence available. |
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AbstractList | Obesity is a chronic inflammatory condition that has been associated with different types of cancer. However, its role in melanoma incidence, progression, and response to immune-checkpoint-inhibitors (ICI) is still controversial. On the one hand, increased levels of lipids and adipokines can promote tumor proliferation and several genes associated with fatty acid metabolism have been found to be upregulated in melanomas. On the other hand, immunotherapy seems to be more effective in obese animal models, presumably due to an increase in CD8 + and subsequent decrease in PD-1 + T-cells in the tumor microenvironment. In humans, several studies have investigated the role of BMI (body mass index) and other adiposity-related parameters as potential prognostic markers of survival in advanced melanoma patients treated with ICI. The aim of this research has been to systematically review the scientific literature on studies evaluating the relationship between overweight/obesity and survival outcomes in patients with advanced melanoma treated with ICI and to perform a meta-analysis on those sharing common characteristics. After screening 1070 records identified through a literature search, 18 articles assessing the role of BMI-related exposure in relation to survival outcomes in ICI-treated patients with advanced melanoma were included in our review. In the meta-analysis of the association between overweight (defined as BMI>25 or BMI 25-30), overall survival (OS), and progression free survival (PFS), 7 studies were included, yielding a summary HR of 0.87 (95% CI: 0.74-1.03) and 0.96 (95% CI: 0.86-1.08), respectively. Our results show that, despite few suggestive findings, the use of BMI as a valuable predictor of melanoma patients' survival in terms of PFS and OS should not be currently recommended, due to the limited evidence available. |
Author | Maule, Milena Fava, Paolo Ribero, Simone Moirano, Giovenale Quaglino, Pietro Roccuzzo, Gabriele |
Author_xml | – sequence: 1 givenname: Gabriele surname: Roccuzzo fullname: Roccuzzo, Gabriele email: gabriele.roccuzzo@unito.it organization: Section of Dermatology, Department of Medical Sciences, University of Turin, Turin 10126, Torino, Italy – sequence: 2 givenname: Giovenale surname: Moirano fullname: Moirano, Giovenale organization: Cancer Epidemiology Unit and CPO-Piemonte, Department of Medical Sciences, University of Torino, 10126 Torino, Italy – sequence: 3 givenname: Paolo surname: Fava fullname: Fava, Paolo organization: Section of Dermatology, Department of Medical Sciences, University of Turin, Turin 10126, Torino, Italy – sequence: 4 givenname: Milena surname: Maule fullname: Maule, Milena organization: Cancer Epidemiology Unit and CPO-Piemonte, Department of Medical Sciences, University of Torino, 10126 Torino, Italy – sequence: 5 givenname: Simone surname: Ribero fullname: Ribero, Simone organization: Section of Dermatology, Department of Medical Sciences, University of Turin, Turin 10126, Torino, Italy – sequence: 6 givenname: Pietro surname: Quaglino fullname: Quaglino, Pietro organization: Section of Dermatology, Department of Medical Sciences, University of Turin, Turin 10126, Torino, Italy |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36871633$$D View this record in MEDLINE/PubMed |
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SubjectTerms | BMI Humans Immune Checkpoint Inhibitors - pharmacology Immune Checkpoint Inhibitors - therapeutic use Immunotherapy Melanoma Melanoma - complications Melanoma - drug therapy Obesity Obesity - complications Overweight Overweight - drug therapy Tumor Microenvironment |
Title | Obesity and immune-checkpoint inhibitors in advanced melanoma: A meta-analysis of survival outcomes from clinical studies |
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