Oncotarget

Research Papers:

Association of cancer mortality with postdiagnosis overweight and obesity using body mass index

Xinsen Xu, Lei Zhou, Runchen Miao, Wei Chen, Yanyan Zhou, Qing Pang, Kai Qu and Chang Liu _

PDF  |  HTML  |  How to cite  |  Order a Reprint

Oncotarget. 2016; 7:5023-5029. https://doi.org/10.18632/oncotarget.6517

Metrics: PDF 1219 views  |   HTML 1819 views  |   ?  


Abstract

Xinsen Xu1, Lei Zhou2, Runchen Miao1, Wei Chen1, Yanyan Zhou1, Qing Pang1, Kai Qu1, Chang Liu1

1Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, China

2Department of Hepatobiliary Surgery, The Affiliated Hospital of Binzhou Medical University, Binzhou 256603, China

Correspondence to:

Chang Liu, e-mail: liuchangdoctor@163.com

Keywords: cancer, prognosis, body mass index, overweight, obesity

Received: September 01, 2015     Accepted: November 22, 2015     Published: December 09, 2015

ABSTRACT

Although overweight and obesity increase cancer risk, it is still controversial with respect to cancer mortality. In the current study, we enrolled 2670 patients of 14 tumor types from the Cancer Genome Atlas (TCGA) project, to identify the prognostic role of overweight and obesity in cancer patients. After dividing the patients into different groups by the body mass index (BMI), we found significant lower mortality in the obesity group. In addition, we also treat BMI value as a binary categorical variable or continuous variable, respectively. We found significant lower mortality in the higher BMI group. Furthermore, when focusing on each tumor type, cervical cancer and bladder cancer showed lower mortality in the patients with higher BMI values. Taken together, our results demonstrate that postdiagnosis obesity might indicate a better prognosis in cancer patients. However, these findings should be interpreted cautiously because of small sample size.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.
PII: 6517