Premium
IDUA, NDST1, SAP30L, CRYBA4 , and SI as novel prognostic signatures clear cell renal cell carcinoma
Author(s) -
Zeng MingHui,
Qiu JianGuo,
Xu Yong,
Zhang XueHua
Publication year - 2019
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.28297
Subject(s) - clear cell renal cell carcinoma , proportional hazards model , gene signature , renal cell carcinoma , oncology , gene expression profiling , gene , univariate , biology , survival analysis , medicine , framingham risk score , gene expression , disease , multivariate statistics , genetics , statistics , mathematics
Carcinoma of the kidney is one of the most prevalent carcinoma worldwide. The majority types of carcinoma are clear cell renal cell carcinoma (CCRCC), which consist more than 80% of the cases. As a genetically diverse disease, identification of prognosis‐related genes has utmost importance in the early diagnosis and prognosis of the CCRCC. In this study, we performed gene expression profiling to identify prognosis‐related genes for CCRCC. In addition, we developed and validated a gene signature‐based risk score to comprehensively assess the prognostic function of differentially expressed genes. Furthermore, we performed a ROC analysis to identify the optimal cut‐off point for classification risk level of the patients. Univariate Cox regression models were used to assess the association between differentially expressed genes in relation to the prognosis of patients with different stages of CCRCC. Five genes were identified significantly differentially expressed in CCRCC and associated with their survival time, namely: IDUA, NDST1, SAP30L, CRYBA4, and SI. A 5‐gene signature‐based risk score was developed based on the Cox coefficient of the individual genes. The prognostic value of this risk score was validated in an internal testing data set. In summary, a gene‐based risk score was identified and validated, which can predict CCRCC patient survival. The potential functions of this gene expression signature and individual differentially expressed gene as prognostic targets of CCRCC were revealed by this study. Furthermore, these findings may have important implications in the understanding of the potential therapeutic method for the CCRCC patients.