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Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study
Papillary renal cell carcinoma (pRCC) is the second most prevalent subtype of kidney cancers. In the current study, we analyzed the global microRNA (miRNA) expression profiles in pRCC, with the aim to evaluate the relationship of miRNA expression with the progression and prognosis of pRCC. A total o...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602701/ https://www.ncbi.nlm.nih.gov/pubmed/25906110 http://dx.doi.org/10.1097/MD.0000000000000767 |
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author | Ge, Yu-Zheng Xu, Lu-Wei Xu, Zheng Wu, Ran Xin, Hui Zhu, Meng Lu, Tian-Ze Geng, Li-Guo Liu, Hao Zhou, Chang-Cheng Yu, Peng Zhao, You-Cai Hu, Zhi-Kai Zhao, Yan Zhou, Liu-Hua Wu, Jian-Ping Li, Wen-Cheng Zhu, Jia-Geng Jia, Rui-Peng |
author_facet | Ge, Yu-Zheng Xu, Lu-Wei Xu, Zheng Wu, Ran Xin, Hui Zhu, Meng Lu, Tian-Ze Geng, Li-Guo Liu, Hao Zhou, Chang-Cheng Yu, Peng Zhao, You-Cai Hu, Zhi-Kai Zhao, Yan Zhou, Liu-Hua Wu, Jian-Ping Li, Wen-Cheng Zhu, Jia-Geng Jia, Rui-Peng |
author_sort | Ge, Yu-Zheng |
collection | PubMed |
description | Papillary renal cell carcinoma (pRCC) is the second most prevalent subtype of kidney cancers. In the current study, we analyzed the global microRNA (miRNA) expression profiles in pRCC, with the aim to evaluate the relationship of miRNA expression with the progression and prognosis of pRCC. A total of 163 treatment-naïve primary pRCC patients were identified from the Cancer Genome Atlas dataset and included in this retrospective observational study. The miRNA expression profiles were graded by tumor-node-metastasis information, and compared between histologic subtypes. Furthermore, the training-validation approach was applied to identify miRNAs of prognostic values, with the aid of Kaplan–Meier survival, and univariate and multivariate Cox regression analyses. Finally, the online DAVID (Database for Annotation, Visualization, and Integrated Discover) program was applied for the pathway enrichment analysis with the target genes of prognosis-associated miRNAs, which were predicted by 3 computational algorithms (PicTar, TargetScan, and Miranda). In the progression-related miRNA profiles, 26 miRNAs were selected for pathologic stage, 28 for pathologic T, 16 for lymph node status, 3 for metastasis status, and 32 for histologic types, respectively. In the training stage, the expression levels of 12 miRNAs (mir-134, mir-379, mir-127, mir-452, mir-199a, mir-200c, mir-141, mir-3074, mir-1468, mir-181c, mir-1180, and mir-34a) were significantly associated with patient survival, whereas mir-200c, mir-127, mir-34a, and mir-181c were identified by multivariate Cox regression analyses as potential independent prognostic factors in pRCC. Subsequently, mir-200c, mir-127, and mir-34a were confirmed to be significantly correlated with patient survival in the validation stage. Finally, target gene prediction analysis identified a total of 113 target genes for mir-200c, 37 for mir-127, and 180 for mir-34a, which further generated 15 molecular pathways. Our results identified the specific miRNAs associated with the progression and aggressiveness of pRCC, and 3 miRNAs (mir-200c, mir-127, and mir-34a) as promising prognostic factors of pRCC. |
format | Online Article Text |
id | pubmed-4602701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-46027012015-10-27 Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study Ge, Yu-Zheng Xu, Lu-Wei Xu, Zheng Wu, Ran Xin, Hui Zhu, Meng Lu, Tian-Ze Geng, Li-Guo Liu, Hao Zhou, Chang-Cheng Yu, Peng Zhao, You-Cai Hu, Zhi-Kai Zhao, Yan Zhou, Liu-Hua Wu, Jian-Ping Li, Wen-Cheng Zhu, Jia-Geng Jia, Rui-Peng Medicine (Baltimore) 7300 Papillary renal cell carcinoma (pRCC) is the second most prevalent subtype of kidney cancers. In the current study, we analyzed the global microRNA (miRNA) expression profiles in pRCC, with the aim to evaluate the relationship of miRNA expression with the progression and prognosis of pRCC. A total of 163 treatment-naïve primary pRCC patients were identified from the Cancer Genome Atlas dataset and included in this retrospective observational study. The miRNA expression profiles were graded by tumor-node-metastasis information, and compared between histologic subtypes. Furthermore, the training-validation approach was applied to identify miRNAs of prognostic values, with the aid of Kaplan–Meier survival, and univariate and multivariate Cox regression analyses. Finally, the online DAVID (Database for Annotation, Visualization, and Integrated Discover) program was applied for the pathway enrichment analysis with the target genes of prognosis-associated miRNAs, which were predicted by 3 computational algorithms (PicTar, TargetScan, and Miranda). In the progression-related miRNA profiles, 26 miRNAs were selected for pathologic stage, 28 for pathologic T, 16 for lymph node status, 3 for metastasis status, and 32 for histologic types, respectively. In the training stage, the expression levels of 12 miRNAs (mir-134, mir-379, mir-127, mir-452, mir-199a, mir-200c, mir-141, mir-3074, mir-1468, mir-181c, mir-1180, and mir-34a) were significantly associated with patient survival, whereas mir-200c, mir-127, mir-34a, and mir-181c were identified by multivariate Cox regression analyses as potential independent prognostic factors in pRCC. Subsequently, mir-200c, mir-127, and mir-34a were confirmed to be significantly correlated with patient survival in the validation stage. Finally, target gene prediction analysis identified a total of 113 target genes for mir-200c, 37 for mir-127, and 180 for mir-34a, which further generated 15 molecular pathways. Our results identified the specific miRNAs associated with the progression and aggressiveness of pRCC, and 3 miRNAs (mir-200c, mir-127, and mir-34a) as promising prognostic factors of pRCC. Wolters Kluwer Health 2015-04-24 /pmc/articles/PMC4602701/ /pubmed/25906110 http://dx.doi.org/10.1097/MD.0000000000000767 Text en Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the Creative Commons Attribution-NonCommercial License, where it is permissible to download, share and reproduce the work in any medium, provided it is properly cited. The work cannot be used commercially. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 7300 Ge, Yu-Zheng Xu, Lu-Wei Xu, Zheng Wu, Ran Xin, Hui Zhu, Meng Lu, Tian-Ze Geng, Li-Guo Liu, Hao Zhou, Chang-Cheng Yu, Peng Zhao, You-Cai Hu, Zhi-Kai Zhao, Yan Zhou, Liu-Hua Wu, Jian-Ping Li, Wen-Cheng Zhu, Jia-Geng Jia, Rui-Peng Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study |
title | Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study |
title_full | Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study |
title_fullStr | Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study |
title_full_unstemmed | Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study |
title_short | Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study |
title_sort | expression profiles and clinical significance of micrornas in papillary renal cell carcinoma: a strobe-compliant observational study |
topic | 7300 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602701/ https://www.ncbi.nlm.nih.gov/pubmed/25906110 http://dx.doi.org/10.1097/MD.0000000000000767 |
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