miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China.
miRNA Expression Profiles of HPV-Infected Patients with Cervical Cancer in the Uyghur Population in China.
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中国维吾尔族人群HPV感染宫颈癌患者miRNA表达谱
DOI：
10.1371/journal.pone.0164701
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Wang X
中科院分区：
文献类型：
--
作者：
Gao D;Zhang Y;Zhu M;Liu S;Wang X
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.
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影响因子：
5.8
作者：
Wu Z;Liu K;Wang Y;Xu Z;Meng J;Gu S
通讯作者：
Gu S
影响因子：
64.5
作者：
SCHEFFNER, M;HUIBREGTSE, JM;HOWLEY, PM
通讯作者：
HOWLEY, PM
影响因子：
5.5
作者：
Gardiner AS;Twiss JL;Perrone-Bizzozero NI
通讯作者：
Perrone-Bizzozero NI
影响因子：
6.4
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通讯作者：
Chan, Paul K. S.
影响因子：
11.5
作者：
Lee, Jeong-Won;Choi, Chel Hun;Bae, Duk-Soo
通讯作者：
Bae, Duk-Soo