Impact of BMI on the survival outcomes of non-small cell lung cancer patients treated with immune checkpoint inhibitors: a meta-analysis

Author:

Zhang Tongtong,Li Shuluan,Chang Jianhua,Qin Yan,li Chao

Abstract

Abstract Objectives ICIs have become the standard treatment for advanced NSCLC patients. Currently, PD-L1 is the most widely useful biomarker to predict ICI efficacy, but the sensitivity and specificity are limited. Therefore, the useful predictive biomarkers of ICI efficacy is urgently needed. BMI is an internationally used measure of body health. Obesity may affect ICI efficacy by changing T cell functions. This meta-analysis aimed to clarify the relationship between BMI and survival outcomes of NSCLC patients treated with ICIs. Methods A systematic review was conducted to identify studies that assessed the association between BMI and survival outcomes in patients treated with ICIs. OS was the primary endpoint, and PFS was the secondary endpoint. Random-effect models or fixed-effect models were utilized to combine study effects according to the Cochran Q and I2 tests. Results Nine studies, including 4602 NSCLC patients treated with ICIs, that met the inclusion criteria were selected for this meta-analysis. There was no significant difference in PFS (HR 0.885; 95% CI 0.777–1.009, p = 0.068) or OS (HR 0.947; 95% CI 0.789–1.137, p = 0.560) between the low BMI group and the high BMI group. However, in the subgroup analysis, compared with normal-weight patients, overweight and obese patients achieved prolonged PFS (HR 0.862; 95% CI 0.760–0.978, p = 0.021) and OS (HR 0.818; 95% CI 0.741–0.902, p<0.0001). Conclusion Overweight and obese NSCLC patients tend to achieve prolonged survival time with ICI regimens. Further prospective studies are needed to strengthen the association between ICI outcomes and BMI levels.

Funder

Hospital Research Project

Shenzhen High-Level Hospital Construction Plan

Shenzhen Key Medical Discipline Construction Fund

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Oncology

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