Serum and Urine Metabolic Fingerprints Characterize Renal Cell Carcinoma for Classification, Early Diagnosis, and Prognosis

Serum and Urine Metabolic Fingerprints Characterize Renal Cell Carcinoma for Classification, Early Diagnosis, and Prognosis

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...

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Bibliographic Details
Main Authors: Xiaoyu Xu, Yuzheng Fang, Qirui Wang, Shuanfeng Zhai, Wanshan Liu, Wanwan Liu, Ruimin Wang, Qiuqiong Deng, Juxiang Zhang, Jingli Gu, Yida Huang, Dingyitai Liang, Shouzhi Yang, Yonghui Chen, Jin Zhang, Wei Xue, Junhua Zheng, Yuning Wang, Kun Qian, Wei Zhai
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:Advanced Science
Subjects:
mass spectrometry
metabolic fingerprinting
prognosis
renal diagnosis
subtype classification
Online Access:https://doi.org/10.1002/advs.202401919
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