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Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is a heterogeneous tumor that the underlying molecular mechanisms are largely unclear. This study aimed to elucidate the key candidate genes and pathways in ccRCC by integrated bioinformatics analysis. 1387 differentially expressed genes were identified based...

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Autores principales: Luo, Yongwen, Shen, Dexin, Chen, Liang, Wang, Gang, Liu, Xuefeng, Qian, Kaiyu, Xiao, Yu, Wang, Xinghuan, Ju, Lingao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738436/
https://www.ncbi.nlm.nih.gov/pubmed/31422942
http://dx.doi.org/10.18632/aging.102161
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author Luo, Yongwen
Shen, Dexin
Chen, Liang
Wang, Gang
Liu, Xuefeng
Qian, Kaiyu
Xiao, Yu
Wang, Xinghuan
Ju, Lingao
author_facet Luo, Yongwen
Shen, Dexin
Chen, Liang
Wang, Gang
Liu, Xuefeng
Qian, Kaiyu
Xiao, Yu
Wang, Xinghuan
Ju, Lingao
author_sort Luo, Yongwen
collection PubMed
description Clear cell renal cell carcinoma (ccRCC) is a heterogeneous tumor that the underlying molecular mechanisms are largely unclear. This study aimed to elucidate the key candidate genes and pathways in ccRCC by integrated bioinformatics analysis. 1387 differentially expressed genes were identified based on three expression profile datasets, including 673 upregulated genes and 714 downregulated genes. Then we used weighted correlation network analysis to identify 6 modules associated with pathological stage and grade, blue module was the most relevant module. GO and KEGG pathway analyses showed that genes in blue module were enriched in cell cycle and metabolic related pathways. Further, 25 hub genes in blue module were identified as hub genes. Based on GEPIA database, 9 genes were associated with progression and prognosis of ccRCC patients, including PTTG1, RRM2, TOP2A, UHRF1, CEP55, BIRC5, UBE2C, FOXM1 and CDC20. Then multivariate Cox regression showed that the risk score base on 9 key genes signature was a clinically independent prognostic factor for ccRCC patients. Moreover, we screened out several new small molecule drugs that have the potential to treat ccRCC. Few of them were identified as biomarkers in ccRCC. In conclusion, our research identified 9 potential prognostic genes and several candidate small molecule drugs for ccRCC treatment.
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spelling pubmed-67384362019-09-16 Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma Luo, Yongwen Shen, Dexin Chen, Liang Wang, Gang Liu, Xuefeng Qian, Kaiyu Xiao, Yu Wang, Xinghuan Ju, Lingao Aging (Albany NY) Research Paper Clear cell renal cell carcinoma (ccRCC) is a heterogeneous tumor that the underlying molecular mechanisms are largely unclear. This study aimed to elucidate the key candidate genes and pathways in ccRCC by integrated bioinformatics analysis. 1387 differentially expressed genes were identified based on three expression profile datasets, including 673 upregulated genes and 714 downregulated genes. Then we used weighted correlation network analysis to identify 6 modules associated with pathological stage and grade, blue module was the most relevant module. GO and KEGG pathway analyses showed that genes in blue module were enriched in cell cycle and metabolic related pathways. Further, 25 hub genes in blue module were identified as hub genes. Based on GEPIA database, 9 genes were associated with progression and prognosis of ccRCC patients, including PTTG1, RRM2, TOP2A, UHRF1, CEP55, BIRC5, UBE2C, FOXM1 and CDC20. Then multivariate Cox regression showed that the risk score base on 9 key genes signature was a clinically independent prognostic factor for ccRCC patients. Moreover, we screened out several new small molecule drugs that have the potential to treat ccRCC. Few of them were identified as biomarkers in ccRCC. In conclusion, our research identified 9 potential prognostic genes and several candidate small molecule drugs for ccRCC treatment. Impact Journals 2019-08-18 /pmc/articles/PMC6738436/ /pubmed/31422942 http://dx.doi.org/10.18632/aging.102161 Text en Copyright © 2019 Luo et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 3.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Luo, Yongwen
Shen, Dexin
Chen, Liang
Wang, Gang
Liu, Xuefeng
Qian, Kaiyu
Xiao, Yu
Wang, Xinghuan
Ju, Lingao
Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma
title Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma
title_full Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma
title_fullStr Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma
title_full_unstemmed Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma
title_short Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma
title_sort identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738436/
https://www.ncbi.nlm.nih.gov/pubmed/31422942
http://dx.doi.org/10.18632/aging.102161
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