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Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis
Prostate adenocarcinoma (PCa) is the most common cause of death due to malignancy among men, and bone metastasis is the leading cause of mortality in patients with PCa. Therefore, identifying the causes and molecular mechanism of bone metastasis is important for early detection, diagnosis and person...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137804/ https://www.ncbi.nlm.nih.gov/pubmed/32027093 http://dx.doi.org/10.1002/2211-5463.12805 |
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author | Zhu, Zhiguo Wen, Yaoan Xuan, Chunxiang Chen, Qingping Xiang, Qian Wang, Jiamin Liu, Yangzhou Luo, Lianmin Zhao, Shankun Deng, Yihan Zhao, Zhigang |
author_facet | Zhu, Zhiguo Wen, Yaoan Xuan, Chunxiang Chen, Qingping Xiang, Qian Wang, Jiamin Liu, Yangzhou Luo, Lianmin Zhao, Shankun Deng, Yihan Zhao, Zhigang |
author_sort | Zhu, Zhiguo |
collection | PubMed |
description | Prostate adenocarcinoma (PCa) is the most common cause of death due to malignancy among men, and bone metastasis is the leading cause of mortality in patients with PCa. Therefore, identifying the causes and molecular mechanism of bone metastasis is important for early detection, diagnosis and personalized therapy. In this study, we systematically analyzed molecular correlates of bone metastasis by bioinformatics analysis. A total of 12 differentially expressed microRNAs (miRNAs) and 102 differentially expressed genes were identified. Five miRNAs had prognostic significance in biochemical recurrence‐free survival (miR‐636, miR‐491‐5p, miR‐199b‐5p, miR‐199b‐3p, miR‐28‐3p). The differentially expressed genes were significantly enriched in extracellular matrix, cell‐substrate adhesion, collagen and integrin. Seven hub genes (VCAN, COL3A1, COL1A1, APOE, COL1A2, SDC1, THY1) with worse biochemical recurrence‐free survival and one hub gene (MMP9) with worse overall survival were detected. miR‐636, a novel oncogene, was found to be up‐regulated in bone metastatic PCa tissues and also predominately up‐regulated in human PCa cell lines. miR‐636 promoted cellular invasion and migration, and may promote bone metastasis via targeting MBNL2, TNS1 and STAB1. In conclusion, we have successfully defined molecular signatures of bone metastasis in PCa. |
format | Online Article Text |
id | pubmed-7137804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71378042020-04-08 Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis Zhu, Zhiguo Wen, Yaoan Xuan, Chunxiang Chen, Qingping Xiang, Qian Wang, Jiamin Liu, Yangzhou Luo, Lianmin Zhao, Shankun Deng, Yihan Zhao, Zhigang FEBS Open Bio Research Articles Prostate adenocarcinoma (PCa) is the most common cause of death due to malignancy among men, and bone metastasis is the leading cause of mortality in patients with PCa. Therefore, identifying the causes and molecular mechanism of bone metastasis is important for early detection, diagnosis and personalized therapy. In this study, we systematically analyzed molecular correlates of bone metastasis by bioinformatics analysis. A total of 12 differentially expressed microRNAs (miRNAs) and 102 differentially expressed genes were identified. Five miRNAs had prognostic significance in biochemical recurrence‐free survival (miR‐636, miR‐491‐5p, miR‐199b‐5p, miR‐199b‐3p, miR‐28‐3p). The differentially expressed genes were significantly enriched in extracellular matrix, cell‐substrate adhesion, collagen and integrin. Seven hub genes (VCAN, COL3A1, COL1A1, APOE, COL1A2, SDC1, THY1) with worse biochemical recurrence‐free survival and one hub gene (MMP9) with worse overall survival were detected. miR‐636, a novel oncogene, was found to be up‐regulated in bone metastatic PCa tissues and also predominately up‐regulated in human PCa cell lines. miR‐636 promoted cellular invasion and migration, and may promote bone metastasis via targeting MBNL2, TNS1 and STAB1. In conclusion, we have successfully defined molecular signatures of bone metastasis in PCa. John Wiley and Sons Inc. 2020-03-19 /pmc/articles/PMC7137804/ /pubmed/32027093 http://dx.doi.org/10.1002/2211-5463.12805 Text en © 2020 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Zhu, Zhiguo Wen, Yaoan Xuan, Chunxiang Chen, Qingping Xiang, Qian Wang, Jiamin Liu, Yangzhou Luo, Lianmin Zhao, Shankun Deng, Yihan Zhao, Zhigang Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis |
title | Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis |
title_full | Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis |
title_fullStr | Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis |
title_full_unstemmed | Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis |
title_short | Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis |
title_sort | identifying the key genes and micrornas in prostate cancer bone metastasis by bioinformatics analysis |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137804/ https://www.ncbi.nlm.nih.gov/pubmed/32027093 http://dx.doi.org/10.1002/2211-5463.12805 |
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