脂肪组织
肾细胞癌
骨骼肌
病理
癌
内科学
细胞
肾透明细胞癌
医学
生物
生物化学
作者
Patrick T. Bradshaw,Linnea T. Olsson,Alejandro Sánchez,Andrea Knežević,Oğuz Akın,Jessica M. Scott,A. Ari Hakimi,Paul Russo,Bette J. Caan,Marina Mourtzakis,Helena Furberg
标识
DOI:10.1158/1055-9965.c.7476305
摘要
<div>AbstractBackground:<p>Body composition may be related to survival in patients with clear-cell renal cell carcinoma (ccRCC), but studies have not simultaneously considered adipose and muscle tissue quantity and radiodensity.</p>Methods:<p>We analyzed data from 1,022 patients with ccRCC who underwent nephrectomy between 2000 and 2020 at Memorial Sloan Kettering Cancer Center. Skeletal muscle, visceral adipose tissue, and subcutaneous adipose tissue indexes (cm<sup>2</sup>/m<sup>2</sup>) and radiodensities [Hounsfield units (HU)] were assessed from noncontrast presurgical CT scans; clinical and demographic characteristics were available from the time of surgery. HRs and confidence intervals were estimated for overall (OS) and disease-free survival (DFS) through March 2023 in multivariable models that simultaneously accounted for all body composition measures.</p>Results:<p>The median age of the patients was 58 years, 69% were male, and 90% were White. There were 169 OS events over 8,392 person-years and 253 DFS events over 7,753 person-years of follow-up. In adjusted analyses, poor OS was associated with lower skeletal muscle radiodensity [−10 HU, HR (95% confidence interval), 1.37 (1.05–1.77)] and greater visceral adipose tissue radiodensity [+10 HU, 1.66 (1.06–2.59)], with similar findings for DFS. Poor survival was also associated with greater visceral adipose tissue index [+40 cm<sup>2</sup>/m<sup>2</sup>, OS: 1.32 (0.97, 1.79); DFS: 1.33 (1.04, 1.71)]. Associations with skeletal muscle radiodensity were limited to patients with stage 1/2 disease.</p>Conclusions:<p>Radiodensities of skeletal muscle and visceral adipose tissues may be novel presurgical prognostic factors for patients with ccRCC.</p>Impact:<p>The findings underscore the importance of evaluating the full range of body composition features simultaneously in multivariable models.</p></div>
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