1. Serum and Urine Metabolic Fingerprints Characterize Renal Cell Carcinoma for Classification, Early Diagnosis, and Prognosis.
- Author
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Xu X, Fang Y, Wang Q, Zhai S, Liu W, Liu W, Wang R, Deng Q, Zhang J, Gu J, Huang Y, Liang D, Yang S, Chen Y, Zhang J, Xue W, Zheng J, Wang Y, Qian K, and Zhai W
- Subjects
- Humans, Male, Female, Middle Aged, Prognosis, Aged, Adult, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization methods, Early Detection of Cancer methods, Carcinoma, Renal Cell urine, Carcinoma, Renal Cell diagnosis, Carcinoma, Renal Cell metabolism, Kidney Neoplasms urine, Kidney Neoplasms diagnosis, Kidney Neoplasms metabolism, Biomarkers, Tumor urine
- Abstract
Renal cell carcinoma (RCC) is a substantial pathology of the urinary system with a growing prevalence rate. However, current clinical methods have limitations for managing RCC due to the heterogeneity manifestations of the disease. Metabolic analyses are regarded as a preferred noninvasive approach in clinics, which can substantially benefit the characterization of RCC. This study constructs a nanoparticle-enhanced laser desorption ionization mass spectrometry (NELDI MS) to analyze metabolic fingerprints of renal tumors (n = 456) and healthy controls (n = 200). The classification models yielded the areas under curves (AUC) of 0.938 (95% confidence interval (CI), 0.884-0.967) for distinguishing renal tumors from healthy controls, 0.850 for differentiating malignant from benign tumors (95% CI, 0.821-0.915), and 0.925-0.932 for classifying subtypes of RCC (95% CI, 0.821-0.915). For the early stage of RCC subtypes, the averaged diagnostic sensitivity of 90.5% and specificity of 91.3% in the test set is achieved. Metabolic biomarkers are identified as the potential indicator for subtype diagnosis (p < 0.05). To validate the prognostic performance, a predictive model for RCC participants and achieve the prediction of disease (p = 0.003) is constructed. The study provides a promising prospect for applying metabolic analytical tools for RCC characterization., (© 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH.)
- Published
- 2024
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