Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2024 Oct 14;22(1):463.
doi: 10.1186/s12916-024-03688-2.

Obesity and survival in advanced non-small cell lung cancer patients treated with chemotherapy, immunotherapy, or chemoimmunotherapy: a multicenter cohort study

Affiliations
Multicenter Study

Obesity and survival in advanced non-small cell lung cancer patients treated with chemotherapy, immunotherapy, or chemoimmunotherapy: a multicenter cohort study

Wei Nie et al. BMC Med. .

Abstract

Background: The association of body mass index (BMI) with survival outcomes in patients with advanced non-small cell lung cancer (NSCLC) treated with first-line chemotherapy, immunotherapy, or chemoimmunotherapy is controversial. We aimed to investigate these associations, including associations in male and female patients specifically, in a multicenter cohort study.

Methods: We retrospectively analyzed data from seven cohorts comprising 7021 advanced non-small cell lung cancer patients who received chemotherapy (three cohorts), immunotherapy (two cohorts), and chemoimmunotherapy (two cohorts) from five data sources, including a de-identified nationwide (US-based) NSCLC clinico-genomic database and two randomized, double-blind, phase 3 clinical trials. BMI was categorized as underweight, normal weight, overweight, or obese. Underweight patients were excluded because of their small proportion. The primary endpoints were the associations between BMI and progression-free survival (PFS) and overall survival (OS) stratified by treatment type and sex, which were assessed using Kaplan-Meier methods and adjusted Cox modeling. Meta-analyses were performed to combine the adjusted hazard ratios.

Results: In the pooled analysis, obesity was significantly associated with improved OS in patients receiving chemotherapy (hazard ratios [HR] = 0.84, 95% confidence interval (CI) 0.76-0.93), but there was no association with PFS (HR = 0.91, 95% CI 0.82-1.02). The association of BMI with OS for patients receiving chemotherapy differed by sex, with an inverse association in men (HR = 0.74, 95% CI 0.64-0.84), but no association observed in women (HR = 0.96, 95% CI 0.81-1.13, Pinteraction = 0.018). No impact of BMI on OS or PFS was detected in patients receiving immunotherapy or chemoimmunotherapy. Obese patients had the lowest level of tumor mutational burden, similar level of programmed death-ligand 1 expression and ESTIMATE scores.

Conclusions: Obesity may be associated with an increased overall survival among male patients treated with chemotherapy, whereas not associated with the outcomes in patients treated with immunotherapy or chemoimmunotherapy.

Keywords: Body mass index; Non-small cell lung cancer; Obesity; Survival.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Progression-free survival and overall survival by BMI category. Progression-free survival in patients in the A CGDB-Chemo cohort, B CGDB-Immu cohort, C CGDB-Chemoimmu cohort. Overall survival in patients in the D CGDB-Chemo cohort, E CGDB-Immu cohort, F CGDB-Chemoimmu cohort
Fig. 2
Fig. 2
Overall survival by BMI category and sex. Overall survival in male patients in the A CGDB-Chemo cohort, B CGDB-Immu cohort, C CGDB-Chemoimmu cohort. Overall survival in female patients in the D CGDB-Chemo cohort, E CGDB-Immu cohort, F CGDB-Chemoimmu cohort
Fig. 3
Fig. 3
Progression-free survival by BMI category and sex. Progression-free survival in male patients in the A CGDB-Chemo cohort, B CGDB-Immu cohort, C CGDB-Chemoimmu cohort. Progression-free survival in female patients in the D CGDB-Chemo cohort, E CGDB-Immu cohort, F CGDB-Chemoimmu cohort
Fig. 4
Fig. 4
Pooled analysis. Forest plots of average adjusted hazard ratios (HRs) for patients with obese BMI compared with normal BMI by treatment type and sex for progression-free survival and overall survival
Fig. 5
Fig. 5
The level of biomarker by BMI category. Association between BMI and A tissue tumor mutational burden and B PD-L1 expression in CGDB cohorts. Association between BMI and C ESTIMATE score, D ESTIMATE Immune Score, and E ESTIMATE Stromal Score

References

    1. Samuel M, Park RY, Eastwood SV, et al. Trends in weight gain recorded in English primary care before and during the Coronavirus-19 pandemic: n observational cohort study using the OpenSAFELY platform. PLoS Med. 2024;21(6): e1004398. - PMC - PubMed
    1. Shepshelovich D, Xu W, Lu L, et al. Body Mass Index (BMI), BMI Change, and overall survival in patients with SCLC and NSCLC: a pooled analysis of the international lung cancer consortium. J Thorac Oncol. 2019;14(9):1594–607. - PMC - PubMed
    1. Oswalt C, Liu Y, Pang H, et al. Associations between body mass index, weight loss and overall survival in patients with advanced lung cancer. J Cachexia Sarcopenia Muscle. 2022;13(6):2650–60. - PMC - PubMed
    1. Petrelli F, Cortellini A, Indini A, et al. Association of obesity with survival outcomes in patients with cancer: a systematic review and meta-analysis. JAMA Netw Open. 2021;4(3): e213520. - PMC - PubMed
    1. Cortellini A, Ricciuti B, Tiseo M, et al. Baseline BMI and BMI variation during first line pembrolizumab in NSCLC patients with a PD-L1 expression ≧50%: a multicenter study with external validation. J Immunother Cancer. 2020;8(2): e001403. - PMC - PubMed

Publication types

Substances