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miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China
The study aimed to investigate the state of human papillomavirus (HPV) infection in patients with cervical cancer in the Uyghur population in China and to identify miRNA as biomarker for cervical cancer and HPV infection. We also performed genotyping to determine the variation in the types of HPV. U...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5072605/ https://www.ncbi.nlm.nih.gov/pubmed/27764149 http://dx.doi.org/10.1371/journal.pone.0164701 |
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author | Gao, Dongmei Zhang, Yuanyuan Zhu, Mingyue Liu, Shuang Wang, Xinling |
author_facet | Gao, Dongmei Zhang, Yuanyuan Zhu, Mingyue Liu, Shuang Wang, Xinling |
author_sort | Gao, Dongmei |
collection | PubMed |
description | The study aimed to investigate the state of human papillomavirus (HPV) infection in patients with cervical cancer in the Uyghur population in China and to identify miRNA as biomarker for cervical cancer and HPV infection. We also performed genotyping to determine the variation in the types of HPV. Using microRNA (miRNA) microarray technology, differential miRNA expression between HPV-infected cervical cancer and uninfected normal cervical tissues was determined; the microarray results were verified by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) using 20 samples of both the tissues. The infection rate of HPV in patients with cervical cancer was 96.7% (29 of 30), and the main subtype identified was HPV16 (29 of 29). HPV16 integration assay demonstrated that the majority of infectious cases were of the integrated form (26 of 29). Analysis of 140 miRNAs demonstrated greater than two-fold change in miRNA expression in HPV-infected cervical cancer tissue as compared to that in uninfected cervical tissue. The qRT-PCR analysis verified that the expression of miR-15a-5p, miR-17-5p, miR-20a-5p, miR-21-5p, miR-96, miR-106b-5p, and miR-3653 was higher, while the expression of miR-497-5p was lower in cancer tissues than in normal tissues. The results demonstrate significant changes in miRNA expression in cervical cancer tissues associated with HPV infection as compared to that in normal tissues. These molecular markers may be useful for an early diagnosis and prognosis of cervical cancer in specific human populations. |
format | Online Article Text |
id | pubmed-5072605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50726052016-10-27 miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China Gao, Dongmei Zhang, Yuanyuan Zhu, Mingyue Liu, Shuang Wang, Xinling PLoS One Research Article The study aimed to investigate the state of human papillomavirus (HPV) infection in patients with cervical cancer in the Uyghur population in China and to identify miRNA as biomarker for cervical cancer and HPV infection. We also performed genotyping to determine the variation in the types of HPV. Using microRNA (miRNA) microarray technology, differential miRNA expression between HPV-infected cervical cancer and uninfected normal cervical tissues was determined; the microarray results were verified by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) using 20 samples of both the tissues. The infection rate of HPV in patients with cervical cancer was 96.7% (29 of 30), and the main subtype identified was HPV16 (29 of 29). HPV16 integration assay demonstrated that the majority of infectious cases were of the integrated form (26 of 29). Analysis of 140 miRNAs demonstrated greater than two-fold change in miRNA expression in HPV-infected cervical cancer tissue as compared to that in uninfected cervical tissue. The qRT-PCR analysis verified that the expression of miR-15a-5p, miR-17-5p, miR-20a-5p, miR-21-5p, miR-96, miR-106b-5p, and miR-3653 was higher, while the expression of miR-497-5p was lower in cancer tissues than in normal tissues. The results demonstrate significant changes in miRNA expression in cervical cancer tissues associated with HPV infection as compared to that in normal tissues. These molecular markers may be useful for an early diagnosis and prognosis of cervical cancer in specific human populations. Public Library of Science 2016-10-20 /pmc/articles/PMC5072605/ /pubmed/27764149 http://dx.doi.org/10.1371/journal.pone.0164701 Text en © 2016 Gao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gao, Dongmei Zhang, Yuanyuan Zhu, Mingyue Liu, Shuang Wang, Xinling miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China |
title | miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China |
title_full | miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China |
title_fullStr | miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China |
title_full_unstemmed | miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China |
title_short | miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China |
title_sort | mirna expression profiles of hpv-infected patients with cervical cancer in the uyghur population in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5072605/ https://www.ncbi.nlm.nih.gov/pubmed/27764149 http://dx.doi.org/10.1371/journal.pone.0164701 |
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