Your browser doesn't support javascript.
loading
The association of body composition phenotypes before chemotherapy with epithelial ovarian cancer mortality.
Davis, Evan W; Attwood, Kristopher; Prunier, Joseph; Paragh, Gyorgy; Joseph, Janine M; Klein, André; Roche, Charles; Barone, Nancy; Etter, John Lewis; Ray, Andrew D; Trabert, Britton; Schabath, Matthew B; Peres, Lauren C; Cannioto, Rikki.
  • Davis EW; Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, 14263, NY, USA.
  • Attwood K; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, 14263, NY, USA.
  • Prunier J; Lake Erie College of Osteopathic Medicine, Elmira, 14901, NY, USA.
  • Paragh G; Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, 14263, NY, USA.
  • Joseph JM; Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, 14263, NY, USA.
  • Klein A; Department of Research Information Technology, Roswell Park Comprehensive Cancer Center, Buffalo, 14263, NY, USA.
  • Roche C; Department of Diagnostic Radiology, Roswell Park Comprehensive Cancer Center, Buffalo, 14263, NY, USA.
  • Barone N; Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, 14263, NY, USA.
  • Etter JL; Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, 14623, NY, USA.
  • Ray AD; Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, 14263, NY, USA.
  • Trabert B; Department of Rehabilitation, Roswell Park Comprehensive Cancer Center, Buffalo, 14263, NY, USA.
  • Schabath MB; Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, 84112, UT, USA.
  • Peres LC; Huntsman Cancer Institute at the University of Utah, Cancer Control and Population Sciences, Salt Lake City, 84112, UT, USA.
  • Cannioto R; Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, 33612, FL, USA.
J Natl Cancer Inst ; 2024 May 28.
Article en En | MEDLINE | ID: mdl-38802116
ABSTRACT

BACKGROUND:

The association of body composition with epithelial ovarian carcinoma (EOC) mortality is poorly understood. To date, evidence suggests high adiposity associates with decreased mortality (an obesity paradox), but the impact of muscle on this association has not been investigated. Herein, we define associations of muscle and adiposity joint-exposure body composition phenotypes with EOC mortality.

METHODS:

Body composition from 500 women in The Body Composition and Epithelial Ovarian Cancer Survival Study was dichotomized as normal/low skeletal muscle index (SMI), a proxy for sarcopenia and high/low adiposity. Four phenotypes were classified as fit/reference (normal SMI/low adiposity; 16.2%), overweight/obese (normal SMI/high adiposity; 51.2%), sarcopenia/overweight-obese (low SMI/high adiposity; 15.6%), and sarcopenia/cachexia (low SMI/low adiposity; 17%). We used multivariable Cox models to estimate associations of each phenotype with mortality for EOC overall and high-grade serous ovarian carcinoma (HGSOC).

RESULTS:

Overweight/obesity was associated with up to 51% and 104% increased mortality in EOC and HGSOC (HR = 1.51, 95% CI 1.05-2.19 and HR = 2.04, 95% CI 1.29-3.21). Sarcopenia/overweight-obesity was associated with up to 66% and 67% increased mortality in EOC and HGSOC (HR = 1.66, 95% CI 1.13-2.45 and HR = 1.67, 95% CI 1.05-2.68). Sarcopenia/cachexia was associated with up to 73% and 109% increased mortality in EOC and HGSOC (HR = 1.73, 95% CI 1.14-2.63 and HR = 2.09, 95% CI 1.25-3.50).

CONCLUSIONS:

Overweight/obesity, sarcopenia/overweight-obesity and sarcopenia/cachexia phenotypes were each associated with increased mortality in EOC and HGSOC. Exercise and dietary interventions could be leveraged as ancillary treatment strategies for improving outcomes in the most fatal gynecological malignancy with no previously established modifiable prognostic factors.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article