Open AccessSarcopenia is negatively associated with long‐term outcomes in locally advanced rectal cancer
Author(s) -
Choi Moon Hyung,
Oh Soon Nam,
Lee In Kyu,
Oh Seong Taek,
Won Daeyoun David
Publication year - 2018
Publication title -
journal of cachexia, sarcopenia and muscle
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.803
H-Index - 66
eISSN - 2190-6009
pISSN - 2190-5991
DOI - 10.1002/jcsm.12234
Subject(s) - sarcopenia , medicine , colorectal cancer , proportional hazards model , sarcopenic obesity , chemoradiotherapy , neoadjuvant therapy , multivariate analysis , cancer , oncology , surgery , breast cancer
Background The association of sarcopenia and visceral obesity to treatment outcome is not clear for locally advanced rectal cancer. This study evaluates the influence of skeletal muscle and visceral fat on short‐term and long‐term outcomes in locally advanced rectal cancer patients treated with neoadjuvant chemoradiation therapy followed by curative resection. Methods A total of 188 patients with locally advanced cancer were included between January 2009 and December 2013. Neoadjuvant chemoradiotherapy was followed by curative resection. Sarcopenia and visceral obesity were identified in initial staging CT by measuring the muscle and visceral fat area at the third lumbar vertebra level. Results Among the 188 included patients, 74 (39.4%) patients were sarcopenic and 97 (51.6%) patients were viscerally obese. Sarcopenia and high levels of preoperative carcinoembryonic antigen were significant prognostic factors for overall survival ( P = 0.013, 0.014, respectively) in the Cox regression multivariate analysis. Visceral obesity was not associated with overall survival; however, it did tend to shorten disease‐free survival ( P = 0.079). Conclusions Sarcopenia is negatively associated with overall survival in locally advanced rectal cancer patients who underwent neoadjuvant chemoradiation therapy and curative resection. Visceral obesity tended to shorten disease‐free survival. Future studies should be directed to optimize patient conditions according to body composition status.