Literature DB >> 30820959

IDUA, NDST1, SAP30L, CRYBA4, and SI as novel prognostic signatures clear cell renal cell carcinoma.

Ming-Hui Zeng1, Jian-Guo Qiu2, Yong Xu3, Xue-Hua Zhang4.   

Abstract

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.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  TCGA; clear cell; prognosis; renal cell carcinoma

Year:  2019        PMID: 30820959     DOI: 10.1002/jcp.28297

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  4 in total

1.  DNA Methylation-Based Panel Predicts Survival of Patients With Clear Cell Renal Cell Carcinoma and Its Correlations With Genomic Metrics and Tumor Immune Cell Infiltration.

Authors:  Xiao-Ping Liu; Lingao Ju; Chen Chen; Tongzu Liu; Sheng Li; Xinghuan Wang
Journal:  Front Cell Dev Biol       Date:  2020-10-15

2.  The Involvement of Insulin-Like Growth Factor 2 Messenger Ribonucleic Acid-Binding Protein 2 in the Regulation of the Expression of Breast Cancer-Related Genes.

Authors:  Chao Gao; Li Li; Xixin Jin; Xinyu Song; Huiling Li; Xiaoli Xu; Chao Dong; Binlin Ma
Journal:  Breast Cancer (Dove Med Press)       Date:  2022-10-10

3.  Identification of a three-m6A related gene risk score model as a potential prognostic biomarker in clear cell renal cell carcinoma.

Authors:  Yiqiao Zhao; Zijia Tao; Xiaonan Chen
Journal:  PeerJ       Date:  2020-03-18       Impact factor: 2.984

4.  Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma.

Authors:  Zihao He; Tuo Deng; Xiaolu Duan; Guohua Zeng
Journal:  Biosci Rep       Date:  2020-09-30       Impact factor: 3.840

  4 in total

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