Sarcopenia and modified Glasgow Prognostic Score predict postsurgical outcomes in localized renal cell carcinoma.

BACKGROUND: Body composition and inflammation are gaining importance for prognostication in cancer. This study investigated the individual and combined utility of the preoperative skeletal muscle index (SMI) and the modified Glasgow Prognostic Score (mGPS) for estimating postoperative outcomes in patients with localized renal cell carcinoma (RCC) undergoing nephrectomy. METHODS: The authors performed a retrospective review of 352 patients with localized RCC. SMI was measured via computed tomography or magnetic resonance imaging. Patients met the criteria for sarcopenia by body mass index- and sex-stratified thresholds. Multivariable and Kaplan-Meier analyses of associations of sarcopenia and mGPS with overall survival (OS), recurrence-free survival (RFS), and cancer-specific survival (CSS) were performed. Variables were analyzed independently and combined into risk groups: low risk (nonsarcopenic, low mGPS), medium risk (sarcopenia only), medium risk (inflammation only), and high risk (sarcopenic, high mGPS). Receiver operating characteristic (ROC) curves were used to analyze risk groups in comparison with the Stage, Size, Grade, and Necrosis (SSIGN) score and the modified International Metastatic RCC Database Consortium (IMDC) score. RESULTS: The majority of the patients were at stage pT3 (63%), 39.5% of the patients were sarcopenic, and 19.3% had an elevated mGPS at the baseline. The median follow-up time was 30.4 months. Sarcopenia and mGPS were independently associated with worse OS (hazard ratio for sarcopenia, 1.64; P = .006; hazard ratio for mGPS, 1.72; P = .012), CSS, and RFS. Risk groups had an increasing association with worse RFS (P = .015) and CSS (P = .004) but not OS (P = .087). ROC analyses demonstrated a higher area under the curve for risk groups in comparison with the SSIGN and IMDC scores at 5 years. CONCLUSIONS: Sarcopenia and an elevated mGPS were associated with worse clinical outcomes in this study of patients with localized RCC. This has implications for preoperative prognostication and treatment decision-making. LAY SUMMARY: Kidney cancer is a disease with a wide variety of outcomes. Among patients undergoing surgical removal of the kidney for cancer that has not spread beyond the kidney, many are cured, but some experience recurrence. Physicians are seeking ways to better predict who is at risk for recurrence or death from kidney cancer. This study has evaluated body composition and markers of inflammation before surgery to predict the risk of recurrence or death after surgery. Specifically, low muscle mass and an elevated inflammation score (the modified Glasgow Prognostic Score) have been associated with an increased likelihood of recurrence of kidney cancer and death.

Prognostic Value of Sarcopenia and Albumin in the Surgical Management of Localized Renal Cell Carcinoma.

INTRODUCTION: A universally accepted model for preoperative surgical risk stratification in localized RCC patients undergoing nephrectomy is currently lacking. Both the evaluation of body composition and nutritional status has demonstrated prognostic value for patients with cancer. This study aims to investigate the potential associations between sarcopenia and hypoalbuminemia and survival outcomes in patients with localized kidney cancer treated with partial or radical nephrectomy. MATERIALS AND METHODS: We retrospectively analyzed 473 patients with localized RCC managed with radical and partial nephrectomy. Skeletal muscle index (SMI) was measured from preoperative CT and MRI. Sarcopenic criteria were created using BMI- and sex-stratified thresholds. Relationships between sarcopenia and hypoalbuminemia (Albumin <3.5 g/dL) with overall (OS), recurrence-free (RFS), and cancer-specific survival (CSS) were determined using multivariable and Kaplan-Meier analysis. RESULTS: Of the 473 patients, 42.5% were sarcopenic and 24.5% had hypoalbuminemia. Sarcopenia was significantly associated with shorter OS (HR=1.51, 95% CI 1.07-2.13), however, was nonsignificant in the RFS (HR = 1.33, 95% CI 0.88-2.03) and CSS (HR=1.66, 95% CI 0.96-2.87) models. Hypoalbuminemia predicted shorter OS (HR=1.76, 95% CI 1.22-2.55), RFS (HR=1.86, 95% CI 1.19-2.89), and CSS (HR=1.82, 95% CI 1.03-3.22). Patients were then stratified into low, medium, and high-risk groups based on the severity of sarcopenia and hypoalbuminemia. Risk groups demonstrated an increasing association with shorter OS (all p<0.05). Reduced RFS was observed in the medium risk-hypoalbuminemia (HR=2.18, 95% CI 1.16-4.09) and high-risk groups (HR=2.42, 95% CI 1.34-4.39). Shorter CSS was observed in the medium risk-hypoalbuminemia (HR=2.31, 95% CI 1.00-5.30) and high-risk groups (HR=2.98, 95% CI 1.34-6.61). CONCLUSION: Localized RCC patients with combined preoperative sarcopenia and hypoalbuminemia displayed a two to a three-fold reduction in OS, RFS, and CSS after nephrectomy. These data have implications for guiding prognostication and treatment election in localized RCC patients undergoing extirpative surgery.

Data regarding covariates significantly associated with sarcopenia and varying albumin statuses in patients with renal cell carcinoma.

Poor functional, nutritional, and muscle status is a significant negative predictor for surgical and survival outcomes in patients with cancer, including renal cell carcinoma. This dataset displays results from preoperative muscle composition analysis and albumin levels in a large cohort (n = 473) of patients undergoing surgery for renal cell carcinoma. Data was obtained from retrospective review of prospectively maintained databases and retrospective image analysis. The optimal cut-point for skeletal muscle index (sarcopenia) was determined by a receiver operatic characteristic analysis to optimally stratify cohort, adjusting for BMI and sex. A threshold value of 3.5 g/dL was used to categorize normal versus low serum albumin. Patients were stratified into low risk (non-sarcopenic and normal albumin), medium risk (non-sarcopenic and low albumin, or sarcopenic and normal albumin), and high risk (sarcopenic and low albumin) groups. This data could potentially be used in future studies to determine other relationships between nutrition and musculature in renal cell carcinoma patients.

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos.

Body composition is associated with risk of disease progression and treatment complications in a variety of conditions. Therefore, quantification of skeletal muscle mass and adipose tissues on Computed Tomography (CT) and/or Magnetic Resonance Imaging (MRI) may inform surgery risk evaluation and disease prognosis. This article describes two quantification methods originally described by Mourtzakis et al. and Avrutin et al.: tissue segmentation and linear measurement of skeletal muscle. Patients' cross-sectional image at the midpoint of the third lumbar vertebra was obtained for both measurements. For segmentation, the images were imported into Slice-O-Matic and colored for skeletal muscle, intramuscular adipose tissue, visceral adipose tissue, and subcutaneous adipose tissue. Then, surface areas of each tissue type were calculated using the tag surface area function. For linear measurements, the height and width of bilateral psoas and paraspinal muscles at the level of the third lumbar vertebra are measured and the calculation using these four values yield the estimated skeletal muscle mass. Segmentation analysis provides quantitative, comprehensive information about the patients' body composition, which can then be correlated with disease progression. However, the process is more time-consuming and requires specialized training. Linear measurements are an efficient and clinic-friendly tool for quick preoperative evaluation. However, linear measurements do not provide information on adipose tissue composition. Nonetheless, these methods have wide applications in a variety of diseases to predict surgical outcomes, risk of disease progression and inform treatment options for patients.

Quantification of body composition in renal cell carcinoma patients: Comparing computed tomography and magnetic resonance imaging measurements.

PURPOSE: Body composition measures provide valuable information for prognostication and treatment election in cancer patients. We investigated the novel use of magnetic resonance imaging (MRI) for skeletal muscle and adipose tissue cross-sectional area measurements in preoperative renal cell carcinoma (RCC) patients. MATERIALS AND METHODS: RCC patients with pre-operative CT and MRI abdominal imaging were identified. Semi-automatic segmentation measurement of skeletal muscle area (SMA), intramuscular fat area (IMFA), visceral fat area (VFA), subcutaneous fat area (SFA), linear measurements of psoas, paraspinal muscles were performed. Pearson correlation coefficients, Bland-Altman plot analyses were done. Multivariable regression analysis examined the relationship between patient characteristics and skeletal muscle. RESULTS: Image analysis was performed on 58 RCC patients with preoperative CT and MRI imaging. For segmentation measures, r = 0.99, 0.99, 0.99, and 0.98 for SMA, IMFA, VFA, SFA, respectively, and 0.96 for linear measures of skeletal muscle. Bland-Altman analysis revealed a bias toward larger CT value for SMA (1.35 %), linear muscle measures (2.79 %), and SFA (10.34 %), and toward larger MRI values for IMFA (0.75 %) and VFA (5.81 %). ECOG ≥ 1 was associated with lower skeletal muscle than ECOG 0 for all measurements. CONCLUSIONS: Strong correlation of CT and MRI cross sectional measurements of skeletal muscle and adipose tissues supports the use of axial MRI images for comprehensive measurement of body composition. This has widespread implications for body composition research and cancer patient care.