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Co-expression Network Analysis Identified Six Hub Genes in Association with Progression and Prognosis in Human Clear Cell Renal Cell Carcinoma (ccRCC)

Overview
Journal Genom Data
Specialty Genetics
Date 2017 Nov 22
PMID 29159069
Citations 52
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Abstract

Human clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignant adult kidney tumors. We constructed a weighted gene co-expression network to identify gene modules associated with clinical features of ccRCC ( = 97). Six hub genes (, , , , and ) were identified in both co-expression and protein-protein interaction (PPI) networks, which were highly correlated with pathologic stage. The significance of expression of the hub genes in ccRCC was ranked top 4 among all cancers and correlated with poor prognosis. Functional analysis revealed that the hub genes were significantly enriched in cell cycle regulation and cell division. Gene set enrichment analysis suggested that the samples with highly expressed hub gene were correlated with cell cycle and p53 signaling pathway. Taken together, six hub genes were identified to be associated with progression and prognosis of ccRCC, and they might lead to poor prognosis by regulating p53 signaling pathway.

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References
1.
Loussouarn D, Campion L, Leclair F, Campone M, Charbonnel C, Ricolleau G . Validation of UBE2C protein as a prognostic marker in node-positive breast cancer. Br J Cancer. 2009; 101(1):166-73. PMC: 2713693. DOI: 10.1038/sj.bjc.6605122. View

2.
Tang Z, Li C, Kang B, Gao G, Li C, Zhang Z . GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017; 45(W1):W98-W102. PMC: 5570223. DOI: 10.1093/nar/gkx247. View

3.
Subramanian A, Tamayo P, Mootha V, Mukherjee S, Ebert B, Gillette M . Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005; 102(43):15545-50. PMC: 1239896. DOI: 10.1073/pnas.0506580102. View

4.
Stratton M, Campbell P, Futreal P . The cancer genome. Nature. 2009; 458(7239):719-24. PMC: 2821689. DOI: 10.1038/nature07943. View

5.
Karra H, Repo H, Ahonen I, Loyttyniemi E, Pitkanen R, Lintunen M . Cdc20 and securin overexpression predict short-term breast cancer survival. Br J Cancer. 2014; 110(12):2905-13. PMC: 4056061. DOI: 10.1038/bjc.2014.252. View