BACKGROUND: Computed tomography-derived body composition parameters are emerging prognostic factors in colorectal cancer. OBJECTIVE: This study aimed to determine the roles of sarcopenia, myosteatosis, and obesity as independent and overlapping parameters in stage I to III colorectal cancer. DESIGN: This is a retrospective cohort study from a prospectively collected database. Multivariate Cox proportional hazards models were performed to assess the associations between body composition parameters and survival. SETTINGS: All patients were seen in a tertiary care cancer center. PATIENTS: Adult patients with stage I to III colorectal cancer, undergoing curative resection from 2007 to 2009, were included. INTERVENTION: Computed tomography-derived quantification of skeletal muscle and adipose tissues was used to determine population-specific cutoffs for sarcopenia, myosteatosis, and total adiposity. MAIN OUTCOME MEASURES: Primary outcome measures were overall, recurrence-free, and cancer-specific survival. RESULTS: In the 968 patients included, there were a total of 254 disease recurrences and 350 deaths. Body mass index and CT-derived measures of adiposity did not result in worse survival outcomes. Sarcopenia was independently predictive of worse overall (HR, 1.45; 95% CI, 1.16-1.84), recurrence-free (HR, 1.32; 95% CI, 1.00–1.75), and cancer-specific survival (HR, 1.46; 95% CI, 1.09–1.94) in a multivariate model. Myosteatosis was also independently predictive of overall survival (HR, 1.53; 95% CI, 1.19–1.97). In a model considering joint effects of sarcopenia and myosteatosis, the presence of both predicted the worst overall (HR, 2.23; 95% CI, 1.62–3.06), recurrence-free (HR, 1.53; 95% CI, 1.06–2.21), and cancer-specific survival (HR, 2.40; 95% CI, 1.69–3.42) in a multivariate model. LIMITATIONS: The limitations of this study are inherent in retrospective observational studies. CONCLUSIONS: Sarcopenia and myosteatosis are independent predictors of worse survival in stage I to III colorectal cancer, and their joint effect is highly predictive of reduced overall, recurrence-free, and cancer-specific survival. See Video Abstract at http://links.lww.com/DCR/A923.

The findings showed that CT-defined multidimensional body habitus is independently associated with LOS and hospital readmission.

Body surface area dosing of chemotherapeutic agents is based on limited scientific data, and often results in unpredictable plasma drug levels. Cross-sectional computed tomography (CT) imaging provides an accurate measurement of lean mass. This review summarizes emerging roles of lean mass in predicting pharmacokinetics and drug toxicities in cancer patients. Areas covered: A concise review of body composition measurement with CT cross-sectional imaging and its relationship to drug pharmacokinetics and toxicities. A comprehensive review of the predictive value of low lean mass (sarcopenia) in dose-limiting toxicities is also included. Expert commentary: Drug dosing in medical oncology faces many challenges, including heterogeneous body composition profiles. The emerging role of sarcopenia in predicting lean mass may provide the tool needed to more accurately dose patients and prevent dose-limiting toxicities.

Head and neck cancer (HNC) patients have variable prognoses even within the same clinical stage and while receiving similar treatments. The number of studies of genetic polymorphisms as prognostic factors of HNC outcomes is growing. Candidate polymorphisms have been evaluated in DNA repair, cell cycle, xenobiotic metabolism, and growth factor pathways. Polymorphisms of XRCC1, FGFR, and CCND1 have been consistently associated with HNC survival in at least two studies, whereas most of the other polymorphisms have either conflicting data or were from single studies. Heterogeneity and lack of description of patient populations and lack of accounting for multiple comparisons were common problems in a significant proportion of studies. Despite a large number of exploratory studies, large replication studies in wellcharacterized HNC populations are warranted. (Cancer Epidemiol Biomarkers Prev 2008;17(3):490 -9)