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Updated: Aug 21, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Nonlinear association between body mass index and overall survival in advanced NSCLC patients treated with immune
Aditya Jain1, Shijia Zhang1, Ryan M Shanley2
1Division of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.
Background:
We investigated the association of body mass index (BMI) modeled as a continuous variable with survival outcomes in advanced non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICI).
Methods:
We performed a single-institution retrospective analysis of consecutively diagnosed locally advanced or metastatic NSCLC patients treated with single-agent ICI in the first line or recurrent setting. The primary outcome was overall survival (OS). Secondary outcomes were progression-free survival (PFS) and objective response rate (ORR). BMI was modeled using a four-knot restricted cubic spline. Multiple Cox regression was used for survival analysis.
Results:
Two hundred patients were included (female 54%; never smoker 12%). Adenocarcinoma was the most common histology (61%). Median age was 67 years, median BMI was 25.9 kg/m2, and 65% of patients had Eastern Cooperative Oncology Group performance status (ECOG PS) of 0-1. On multivariable analysis, only BMI and ECOG PS were independently associated with OS (p < 0.01). Mortality risk decreased as the BMI increased from 20 to 30 kg/m2 (HR 0.49, 95% CI 0.28-0.84); however, it was reversed as the BMI surpassed ~ 30 kg/m2. Compared to ECOG PS ≥ 2, patients with ECOG PS of 0-1 had a longer OS (HR 0.42, 95% CI 0.28-0.63). Similar trends were observed with PFS and ORR, but the strength of the association was weaker.
Conclusion:
We observed a nonlinear association between BMI and OS following treatment with ICI in advanced NSCLC. Risk of death increases at both extremes of BMI with a nadir that exists around 30 kg/m2.
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