Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Division of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, CA, USA.
J Cachexia Sarcopenia Muscle. 2024 Apr;15(2):726-734. doi: 10.1002/jcsm.13429. Epub 2024 Jan 24.
Most studies on body composition in kidney cancer have been conducted among patients with metastatic disease. Given that aggressive tumours can adversely impact body composition and even non-metastatic tumours can be aggressive, we evaluated associations between pre-surgical body composition features and tumour pathological features in patients with non-metastatic clear cell renal cell cancer (ccRCC).
The Resolve Cohort consists of 1239 patients with non-metastatic ccRCC who underwent nephrectomy at Memorial Sloan Kettering Cancer Center between 2000 and 2020. The cross-sectional areas and radiodensities of skeletal muscle, visceral adipose, and subcutaneous adipose tissues were determined from pre-surgical computed tomography (CT) scans at the third lumbar vertebrae using Automatica software. Pearson's correlation coefficients describe inter-relationships among BMI and body composition variables, while odds ratios (OR) and 95% confidence intervals (CI) estimate associations between continuous body composition features (per 1-standard deviation) and advanced stage (Stage III vs. Stages I-II) and high Fuhrman grade (Grades 3-4 vs. 1-2) from multivariable logistic regression models that considered the potential impact of biological sex, contrast enhanced CTs, and early age at onset of ccRCC.
The cohort was predominantly male (69%), white (89%), and had a median age of 58. The proportion of patients presenting with advanced stage and high-grade disease were 31% and 51%, respectively. In models that adjusted for demographics and all body composition variables simultaneously, decreasing skeletal muscle radiodensity (i.e., more fat infiltration) but increasing visceral adipose tissue radiodensity (i.e., more lipid depletion) were associated with advanced tumour features. Per 8.4 HU decrease in skeletal muscle radiodensity, the odds of presenting with advanced stage was 1.61 (95% CI: 1.34-1.93). Per 7.22 HU increase in visceral adipose tissue radiodensity, the odds of presenting with advanced stage was 1.45 (95% CI: 1.22-1.74). Skeletal muscle index (i.e., sarcopenia) was not associated with either tumour feature. Similar associations were observed for Fuhrman grade, a more direct marker of tumour aggressiveness. Associations did not differ by sex, contrast use, or age at onset of ccRCC.
Lipid infiltrated skeletal muscle, but lipid depleted visceral adipose tissue were independently associated with advanced tumour features in non-metastatic ccRCC. Findings highlight the importance of evaluating the full range of body composition features simultaneously in multivariable models. Interpreting pre-surgical CTs for body composition for patients may be a novel and non-invasive way to identify patients with aggressive renal tumours, which is clinically relevant as renal biopsies are not routinely performed.
大多数关于肾癌患者身体成分的研究都是在转移性疾病患者中进行的。由于侵袭性肿瘤可能会对身体成分产生不利影响,即使是非转移性肿瘤也可能具有侵袭性,因此我们评估了非转移性透明细胞肾细胞癌(ccRCC)患者术前身体成分特征与肿瘤病理特征之间的关系。
Resolve 队列包括 1239 名在 Memorial Sloan Kettering Cancer Center 接受肾切除术的非转移性 ccRCC 患者,这些患者在 2000 年至 2020 年期间接受了手术。使用 Automatica 软件从第三腰椎的术前计算机断层扫描(CT)中确定骨骼肌、内脏脂肪和皮下脂肪组织的横截面积和放射密度。Pearson 相关系数描述 BMI 和身体成分变量之间的相互关系,而比值比(OR)和 95%置信区间(CI)则估计连续身体成分特征(每标准差)与晚期(III 期与 I-II 期)和高 Fuhrman 分级(3-4 级与 1-2 级)之间的关联,这些关联来自多变量逻辑回归模型,该模型考虑了生物学性别、增强 CT 和 ccRCC 发病年龄的潜在影响。
队列中主要为男性(69%)、白人(89%),中位年龄为 58 岁。晚期和高分级疾病患者的比例分别为 31%和 51%。在同时调整人口统计学和所有身体成分变量的模型中,骨骼肌放射密度降低(即更多脂肪浸润)而内脏脂肪组织放射密度增加(即更多脂质耗竭)与肿瘤特征的进展有关。骨骼肌放射密度每降低 8.4HU,出现晚期的几率为 1.61(95%CI:1.34-1.93)。内脏脂肪组织放射密度每增加 7.22HU,出现晚期的几率为 1.45(95%CI:1.22-1.74)。骨骼肌指数(即肌肉减少症)与任何肿瘤特征均无关。在 Fuhrman 分级方面也观察到了类似的关联,这是肿瘤侵袭性的更直接标志物。这些关联在性别、对比剂使用或 ccRCC 发病年龄方面没有差异。
脂质浸润的骨骼肌,但脂质耗竭的内脏脂肪与非转移性 ccRCC 中的晚期肿瘤特征独立相关。这些发现强调了在多变量模型中同时评估身体成分的全部特征的重要性。对患者的术前 CT 进行身体成分分析可能是识别侵袭性肾肿瘤患者的一种新颖且非侵入性的方法,这在临床上很重要,因为常规不进行肾活检。