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Identification of the key genes and pathways in prostate cancer

Prostate cancer (PCa) is one of the most common malignancies in men globally. The aim of the present study was to identify the key genes and pathways involved in the occurrence of PCa. Gene expression profile (GSE55945) was downloaded from Gene Expression Omnibus, and the differentially expressed ge...

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Autores principales: Fan, Shutong, Liang, Zumu, Gao, Zhiqin, Pan, Zhiwei, Han, Shaojie, Liu, Xiaoying, Zhao, Chunling, Yang, Weiwei, Pan, Zhifang, Feng, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202544/
https://www.ncbi.nlm.nih.gov/pubmed/30405806
http://dx.doi.org/10.3892/ol.2018.9491
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author Fan, Shutong
Liang, Zumu
Gao, Zhiqin
Pan, Zhiwei
Han, Shaojie
Liu, Xiaoying
Zhao, Chunling
Yang, Weiwei
Pan, Zhifang
Feng, Weiguo
author_facet Fan, Shutong
Liang, Zumu
Gao, Zhiqin
Pan, Zhiwei
Han, Shaojie
Liu, Xiaoying
Zhao, Chunling
Yang, Weiwei
Pan, Zhifang
Feng, Weiguo
author_sort Fan, Shutong
collection PubMed
description Prostate cancer (PCa) is one of the most common malignancies in men globally. The aim of the present study was to identify the key genes and pathways involved in the occurrence of PCa. Gene expression profile (GSE55945) was downloaded from Gene Expression Omnibus, and the differentially expressed genes (DEGs) were identified. Subsequently, Gene ontology analysis, KEGG pathway analysis and protein-protein interaction (PPI) analysis of DEGs were performed. Finally, the identified key genes were confirmed by immunohistochemistry. The GO analysis results showed that the DEGs were mainly participated in cell cycle, cell division, cell development and cell junction. The KEGG pathway analysis showed that the DEGs were mainly enriched in proteoglycans in cancer, endocytosis, focal adhesion and hippo signaling pathway. The PPI analysis results showed that RPS21, FOXO1, BIRC5, POLR2H, RPL22L1 and NPM1 were the key genes involved in the occurrence of PCa, and the Module analysis indicated that the occurrence of PCa was associated with cell cycle, oocyte meiosis and ribosome biogenesis. IHC result showed that the expression of RPS21, BIRC5, POLR2H, RPL22L1 and NPM1 were significantly upregulated in PCa, while the expression of FOXO1 was significantly downregulated in PCa, matching with the bioinformatics analysis. Taken together, several key genes and pathways were identified involved in PCa, which might provide the potential biomarker for prognosis, diagnosis and drug targets.
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spelling pubmed-62025442018-11-07 Identification of the key genes and pathways in prostate cancer Fan, Shutong Liang, Zumu Gao, Zhiqin Pan, Zhiwei Han, Shaojie Liu, Xiaoying Zhao, Chunling Yang, Weiwei Pan, Zhifang Feng, Weiguo Oncol Lett Articles Prostate cancer (PCa) is one of the most common malignancies in men globally. The aim of the present study was to identify the key genes and pathways involved in the occurrence of PCa. Gene expression profile (GSE55945) was downloaded from Gene Expression Omnibus, and the differentially expressed genes (DEGs) were identified. Subsequently, Gene ontology analysis, KEGG pathway analysis and protein-protein interaction (PPI) analysis of DEGs were performed. Finally, the identified key genes were confirmed by immunohistochemistry. The GO analysis results showed that the DEGs were mainly participated in cell cycle, cell division, cell development and cell junction. The KEGG pathway analysis showed that the DEGs were mainly enriched in proteoglycans in cancer, endocytosis, focal adhesion and hippo signaling pathway. The PPI analysis results showed that RPS21, FOXO1, BIRC5, POLR2H, RPL22L1 and NPM1 were the key genes involved in the occurrence of PCa, and the Module analysis indicated that the occurrence of PCa was associated with cell cycle, oocyte meiosis and ribosome biogenesis. IHC result showed that the expression of RPS21, BIRC5, POLR2H, RPL22L1 and NPM1 were significantly upregulated in PCa, while the expression of FOXO1 was significantly downregulated in PCa, matching with the bioinformatics analysis. Taken together, several key genes and pathways were identified involved in PCa, which might provide the potential biomarker for prognosis, diagnosis and drug targets. D.A. Spandidos 2018-11 2018-09-24 /pmc/articles/PMC6202544/ /pubmed/30405806 http://dx.doi.org/10.3892/ol.2018.9491 Text en Copyright: © Fan et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Fan, Shutong
Liang, Zumu
Gao, Zhiqin
Pan, Zhiwei
Han, Shaojie
Liu, Xiaoying
Zhao, Chunling
Yang, Weiwei
Pan, Zhifang
Feng, Weiguo
Identification of the key genes and pathways in prostate cancer
title Identification of the key genes and pathways in prostate cancer
title_full Identification of the key genes and pathways in prostate cancer
title_fullStr Identification of the key genes and pathways in prostate cancer
title_full_unstemmed Identification of the key genes and pathways in prostate cancer
title_short Identification of the key genes and pathways in prostate cancer
title_sort identification of the key genes and pathways in prostate cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202544/
https://www.ncbi.nlm.nih.gov/pubmed/30405806
http://dx.doi.org/10.3892/ol.2018.9491
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