222
Views
7
CrossRef citations to date
0
Altmetric
Oncology

Impact of body mass index on survival and serious adverse events in advanced non-small cell lung cancer treated with bevacizumab: a meta-analysis of randomized clinical trials

ORCID Icon, , & ORCID Icon
Pages 811-817 | Received 27 Oct 2020, Accepted 04 Mar 2021, Published online: 24 Mar 2021
 

Abstract

Purpose

Lung cancer accounts for 28% of all cancer deaths, more deaths than any other cancer in the United States. The influence of body composition has been evaluated in several studies, specifically, the influence of obesity on lung cancer survival. Outcomes have been mixed, with some studies demonstrating a paradoxical beneficial effect in early lung cancer where survival is improved in obese patients. The study aim was to evaluate the impact of obesity on overall survival (OS), progression free survival (PFS), and occurrence of serious adverse events (SAE) in clinical trials evaluating bevacizumab for advanced non-small cell lung cancer (NSCLC).

Methods

We performed a post hoc analysis combining available individual level data from bevacizumab randomized clinical trials available through the Clinical Study Data Request database. The primary outcome measured in our analysis was the influence of bevacizumab on OS stratified by body mass index (BMI). In addition to OS, both PFS and the occurrence of SAE requiring therapy interruption were evaluated. All endpoints were evaluated in patients who were obese (BMI ≥30.0 kg/m2) compared with non-obese (BMI <30.0 kg/m2). As a sensitivity analysis, endpoints were also evaluated in patients who were overweight (BMI ≥25.0 kg/m2) compared with non-overweight (BMI <25.0 kg/m2). In addition to analysis of each individual study, a meta-analysis was performed in order to calculate pooled hazard ratios (HR). Hazard ratios for both OS and PFS were calculated using multivariable Cox proportional hazards models. Odds ratios for SAE were calculated using multivariable logistic regression. The validity of the regression models was tested using a log-log plot and overall fit using the goodness of fit test.

Results

After adjusting for covariates using a Cox proportional hazards model and combining the resulting adjusted hazard ratios using meta-analysis, there was no significant difference between obese and non-obese groups for OS or PFS. In addition, when treatment discontinuation due to an adverse event was assessed, none of the trials showed a significant difference between the obese and non-obese groups.

Conclusion

In this analysis of clinical trial data, obesity was not associated with worse survival versus non-obese individuals in advanced NSCLC. In addition, serious adverse events were similar between patients with and without obesity.

Transparency

Declaration of funding

This paper was not funded.

Declaration of financial/other relationship

Authors have received grant funding from CSL Behring, Innovative Research, Astellas and consulting fees from Horizon Blue Cross Blue Shield of New Jersey. A reviewer on this manuscript has disclosed attending editorial activities sponsored by BMS and Roche. Peer reviewers on this manuscript have no other relevant financial relationships or otherwise to disclose.

Acknowledgements

None stated.

Availability of data and material

Data are available through request from www.ClinicalStudyDataRequest.com.

Code availability

The authors will evaluate requests and make our analysis code available on a case by case basis.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.