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Differential expression of MicroRNA in cervical cancer and precancerous lesions |
ZHAO Wenjiao, LIU Fang, YAN Qiongqiong |
Department of Obstetrics and Gynecology, Xi'an Central Hospital, Xi'an 710001, China |
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Abstract Objective To investigate the expression of miRNAs in the blood of patients with squamous cell carcinoma (SCC) and high-grade squamous intraepithelial lesion (HSIL) of the cervix and to determine the impact of these miRNAs in the clinical course of cervical cancer development. Methods Between January 2020 and January 2022, a total of 35 patients with HSIL and 35 patients with cervical SCC and 30 healthy controls were enrolled in the study. Blood specimens from patients were collected and the relative miRNA expression levels of miR-409, miR-32, miR-454, miR-17, miR-520 and miR-373 in serum were analyzed by qRT-PCR. Receiver operating characteristic curve (ROC) was used to analyze the diagnostic potential of differentially expressed miRNAs. Results Compared with healthy controls, miR-409 was found to be significantly down-regulated, and miR-32, miR-454, and miR-17 were significantly up-regulated in HSIL and cervical SCC tissues. In addition, miR-409 was significantly downregulated, and miR-32, miR-454, and miR-17 were significantly upregulated in the cervical SCC group compared with the HSIL group. roC analysis showed that miR-409(AUC=0.972), miR-32(AUC=0.942), and miR-454(AUC=0.905), and miR-17(AUC=0.969) had high specificity and sensitivity in distinguishing the control and SCC groups. miR-409(AUC=0.921) and miR-17(AUC=0.851) had high specificity and sensitivity in distinguishing the HSIL and SCC groups. In addition, miR-32 and miR-454 were less sensitive in distinguishing HSIL group from SCC group. Conclusion In this study, four miRNAs (miR-409, miR-32, miR-454, miR-17) differentially expressed in the sera of normal controls, HSIL and SCC patients are identified, and these miRNAs show good sensitivity and specificity in distinguishing normal from SCC. Among them, miR-409 and miR-17 could also be used as potential markers to distinguish HSIL from SCC.
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Received: 01 November 2022
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