TY - JOUR
T1 - Identification of miRNAs in cervical mucus as a novel diagnostic marker for cervical neoplasia
AU - Kawai, Satoshi
AU - Fujii, Takuma
AU - Kukimoto, Iwao
AU - Yamada, Hiroya
AU - Yamamoto, Naoki
AU - Kuroda, Makoto
AU - Otani, Sayaka
AU - Ichikawa, Ryoko
AU - Nishio, Eiji
AU - Torii, Yutaka
AU - Iwata, Aya
N1 - Funding Information:
We would like to thank Asuka Kambayashi, Department of Obstetrics and Gynecology, Noriko Hiramatsu and Hiromi Yamashita, Laboratory of Molecular Biology and Histochemistry Joint Research Support Promotion Facility Center for Research Promotion and Support, Fujita Health University, School of Medicine, for technical assistance. We also thank Yumiko Usui for typing the manuscript. We thank Wendy Bruening, PhD and Angela Morben DVM,ELS, from Edanz Group (www.edanzediting.com/ac), for editing the English text of a draft of this manuscript. This work was partly supported by JSPS KAKENHI Grant Number (JP 26462540) and a Fujita Health University Research Grant-in-Aid.
Publisher Copyright:
© 2018 The Author(s).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - microRNAs (miRNAs) play important roles in regulation of gene expression during cervical carcinogenesis. We investigated expression profiles of miRNAs in cervical cancer and its precursor lesions by utilizing cervical mucus. Cervical mucus was collected from 230 patients with a normal cervix, cervical intraepithelial neoplasia (CIN), squamous cell carcinoma (SCC), or adenocarcinoma (AD). The levels of miRNA in the mucus were quantified by miRNA array and real-time reverse-transcriptase polymerase chain reaction (RT-PCR). The performance for detecting diseases was statistically analysed. The expression of miRNAs was further validated in the surgical tissues of enrolled patients. Four miRNAs (miR-126-3p, -20b-5p, -451a, and -144-3p) were significantly up-regulated in SCC and AD compared with normal, and their expression levels correlated with disease severity and high-risk human papillomavirus infection. Receiver operating characteristic curve analyses revealed that the area under the curve values for miR-126-3p, -20b-5p, -451a, and -144-3p were 0.89, 0.90, 0.94, and 0.93, respectively, for SCC plus AD compared with normal, showing high accuracy of cancer detection. Real-time RT-PCR analyses confirmed the expression of these four miRNAs in frozen tissues from cervical cancer. miR-126-3p, -20b-5p, -451a, and -144-3p in cervical mucus are promising biomarkers for cervical cancer and high-grade CINs.
AB - microRNAs (miRNAs) play important roles in regulation of gene expression during cervical carcinogenesis. We investigated expression profiles of miRNAs in cervical cancer and its precursor lesions by utilizing cervical mucus. Cervical mucus was collected from 230 patients with a normal cervix, cervical intraepithelial neoplasia (CIN), squamous cell carcinoma (SCC), or adenocarcinoma (AD). The levels of miRNA in the mucus were quantified by miRNA array and real-time reverse-transcriptase polymerase chain reaction (RT-PCR). The performance for detecting diseases was statistically analysed. The expression of miRNAs was further validated in the surgical tissues of enrolled patients. Four miRNAs (miR-126-3p, -20b-5p, -451a, and -144-3p) were significantly up-regulated in SCC and AD compared with normal, and their expression levels correlated with disease severity and high-risk human papillomavirus infection. Receiver operating characteristic curve analyses revealed that the area under the curve values for miR-126-3p, -20b-5p, -451a, and -144-3p were 0.89, 0.90, 0.94, and 0.93, respectively, for SCC plus AD compared with normal, showing high accuracy of cancer detection. Real-time RT-PCR analyses confirmed the expression of these four miRNAs in frozen tissues from cervical cancer. miR-126-3p, -20b-5p, -451a, and -144-3p in cervical mucus are promising biomarkers for cervical cancer and high-grade CINs.
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U2 - 10.1038/s41598-018-25310-1
DO - 10.1038/s41598-018-25310-1
M3 - Article
C2 - 29728572
AN - SCOPUS:85046618939
VL - 8
JO - Scientific Reports
JF - Scientific Reports
SN - 2045-2322
IS - 1
M1 - 7070
ER -