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Serum miRNAs panel (miR-16-2*, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer
miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse transcript polymerase chain reaction (qRT-PCR) provides a sensitive platform for quantifying miRNAs with a broad dynamic range. Herein, we aim...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4677300/ https://www.ncbi.nlm.nih.gov/pubmed/26656154 http://dx.doi.org/10.1038/srep17942 |
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author | Zhang, Yujuan Zhang, Donghong Wang, Fei Xu, Danfei Guo, Ye Cui, Wei |
author_facet | Zhang, Yujuan Zhang, Donghong Wang, Fei Xu, Danfei Guo, Ye Cui, Wei |
author_sort | Zhang, Yujuan |
collection | PubMed |
description | miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse transcript polymerase chain reaction (qRT-PCR) provides a sensitive platform for quantifying miRNAs with a broad dynamic range. Herein, we aimed to establish a serum miRNA signature for diagnosing cervical cancer (CC). In this study, we recruited a cohort of 184 CC, 186 cervical intraepithelial neoplasia (CIN) patients and 193 healthy control subjects. qRT-PCR was performed with serum samples to screen a pool of 444 miRNAs at the initial phase, 66 miRNAs at the training phase, and 7 miRNAs at the validation phase. The profile of 4 circulating miRNAs (miR-16-2*, miR-195, miR-2861, miR-497) was established for CC diagnosis. By Receiver Operating Characteristic (ROC) curve analysis, this 4-miRNA signature showed high accuracy in discriminating CC (AUC = 0.849), and CIN individuals (AUC = 0.734) from healthy controls. Among these 4 miRNAs, only miR-16-2*, but not miR-195, miR-2861 or miR497, shared a similar pattern in sera of breast cancer and ovarian cancer patients. Overall, our studies have identified a novel noninvasive biomarker constituted with a panel of four miRNAs (miR-16-2*, miR-195, miR-2861, miR-497). |
format | Online Article Text |
id | pubmed-4677300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46773002015-12-17 Serum miRNAs panel (miR-16-2*, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer Zhang, Yujuan Zhang, Donghong Wang, Fei Xu, Danfei Guo, Ye Cui, Wei Sci Rep Article miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse transcript polymerase chain reaction (qRT-PCR) provides a sensitive platform for quantifying miRNAs with a broad dynamic range. Herein, we aimed to establish a serum miRNA signature for diagnosing cervical cancer (CC). In this study, we recruited a cohort of 184 CC, 186 cervical intraepithelial neoplasia (CIN) patients and 193 healthy control subjects. qRT-PCR was performed with serum samples to screen a pool of 444 miRNAs at the initial phase, 66 miRNAs at the training phase, and 7 miRNAs at the validation phase. The profile of 4 circulating miRNAs (miR-16-2*, miR-195, miR-2861, miR-497) was established for CC diagnosis. By Receiver Operating Characteristic (ROC) curve analysis, this 4-miRNA signature showed high accuracy in discriminating CC (AUC = 0.849), and CIN individuals (AUC = 0.734) from healthy controls. Among these 4 miRNAs, only miR-16-2*, but not miR-195, miR-2861 or miR497, shared a similar pattern in sera of breast cancer and ovarian cancer patients. Overall, our studies have identified a novel noninvasive biomarker constituted with a panel of four miRNAs (miR-16-2*, miR-195, miR-2861, miR-497). Nature Publishing Group 2015-12-14 /pmc/articles/PMC4677300/ /pubmed/26656154 http://dx.doi.org/10.1038/srep17942 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhang, Yujuan Zhang, Donghong Wang, Fei Xu, Danfei Guo, Ye Cui, Wei Serum miRNAs panel (miR-16-2*, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer |
title | Serum miRNAs panel (miR-16-2*, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer |
title_full | Serum miRNAs panel (miR-16-2*, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer |
title_fullStr | Serum miRNAs panel (miR-16-2*, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer |
title_full_unstemmed | Serum miRNAs panel (miR-16-2*, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer |
title_short | Serum miRNAs panel (miR-16-2*, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer |
title_sort | serum mirnas panel (mir-16-2*, mir-195, mir-2861, mir-497) as novel non-invasive biomarkers for detection of cervical cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4677300/ https://www.ncbi.nlm.nih.gov/pubmed/26656154 http://dx.doi.org/10.1038/srep17942 |
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