Research Papers:

Identify clear cell renal cell carcinoma related genes by gene network

Fangrong Yan, Yue Wang, Chunhui Liu, Huiling Zhao, Liya Zhang, Xiaofan Lu, Chen Chen, Yaoyan Wang, Tao Lu _ and Fei Wang

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Oncotarget. 2017; 8:110358-110366. https://doi.org/10.18632/oncotarget.22769

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Fangrong Yan1,*, Yue Wang1,*, Chunhui Liu2, Huiling Zhao1, Liya Zhang1, Xiaofan Lu1, Chen Chen1, Yaoyan Wang1, Tao Lu3 and Fei Wang1

1Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, P.R. China

2Zhongda Hospital Southeast University, Nanjing, P.R. China

3State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, P.R. China

*These authors have contributed equally to this work

Correspondence to:

Tao Lu, email: [email protected]

Fei Wang, email: [email protected]

Keywords: clear cell renal cell carcinoma; gene network; gene marker; gene selection; gene expression

Received: August 02, 2017    Accepted: September 03, 2017    Published: November 30, 2017


Clear cell renal cell carcinoma (ccRCC) is the most prominent type of kidney cancer in adults. The patients within metastatic ccRCC have a poor 5-year survival rate that is less than 10%. It is essential to identify ccRCC -related genes to help with the understanding of molecular mechanism of ccRCC. In this literature, we aim to identify genes related to ccRCC based on a gene network. We collected gene expression level data of ccRCC from the Cancer Genome Atlas (TCGA) for our analysis. We constructed a co-expression gene network as the first step of our study. Then, the network sparse boosting approach was performed to select the genes which are relevant to ccRCC. Results of our study show there are 15 genes selected from the all genes we collected. Among these genes, 7 of them have been demonstrated to play a key role in development and progression or in drug response of ccRCC. This finding offers clues of gene markers for the treatment of ccRCC.

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