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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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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. |
format | Online Article Text |
id | pubmed-6202544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
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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