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微小 RNA 检测在子宫内膜癌诊断中的应用。

Usefulness of microRNA detection in the diagnostics of endometrial cancer.

机构信息

Royal Cornwall Hospital NHS Trust, Truro, UK.

Department of Obstetrics and Gynecology, Medical Center - University of Freiburg, Freiburg, Germany.

出版信息

Acta Obstet Gynecol Scand. 2021 Jun;100(6):1148-1154. doi: 10.1111/aogs.14141. Epub 2021 Apr 1.

Abstract

INTRODUCTION

MicroRNAs (miRNAs) are noncoding RNAs that regulate gene expression and contribute to the development of cancer. They have been shown to be stable in tissue samples and may be promising diagnostic biomarkers for endometrial cancer.

MATERIAL AND METHODS

A retrospective cohort study of women diagnosed with endometrial cancer between January 2017 and December 2017 was performed at the Royal Cornwall Hospital. Archived formalin-fixed paraffin-embedded samples were obtained from patients with endometrial cancer and healthy women. MicroRNA was isolated and quantitative real-time polymerase chain reaction was used to detect expression levels of miRNAs.

RESULTS

A total of 76 women were included: 36 endometrial cancer patients, 40 healthy controls. A distinct panel of miR-200a, miR-200b, miR-200c, miR-205, and miR-182 showed an area under the curve of 0.958, sensitivity 92%, specificity 89%, positive predictive value of 89% (95% CI 82%-94%) and negative predictive value of 91% (95% CI 85%-96%) in diagnosing endometrial cancer. High miR-182 expression levels were significantly related to high-grade endometrioid tumors compared with low-grade tumors.

CONCLUSIONS

We demonstrated high diagnostic accuracy of miRNA for detecting endometrial cancer. In addition, miRNA contributed to an improvement in distinguishing between high-grade and low-grade endometrioid tumors.

摘要

简介

MicroRNAs (miRNAs) 是一种非编码 RNA,可调节基因表达并促进癌症的发展。研究表明,miRNAs 在组织样本中稳定存在,可能是子宫内膜癌有前途的诊断生物标志物。

材料和方法

对 2017 年 1 月至 2017 年 12 月在皇家康沃尔医院诊断为子宫内膜癌的女性进行了回顾性队列研究。从子宫内膜癌患者和健康女性的存档福尔马林固定石蜡包埋样本中获得了 miRNA。分离 microRNA 并使用定量实时聚合酶链反应检测 miRNA 的表达水平。

结果

共纳入 76 名女性:36 名子宫内膜癌患者,40 名健康对照者。miR-200a、miR-200b、miR-200c、miR-205 和 miR-182 的独特组合显示曲线下面积为 0.958,诊断子宫内膜癌的灵敏度为 92%,特异性为 89%,阳性预测值为 89%(95%CI 82%-94%),阴性预测值为 91%(95%CI 85%-96%)。miR-182 高表达水平与高级别子宫内膜样肿瘤明显相关,而与低级别肿瘤相比。

结论

我们证明了 miRNA 检测子宫内膜癌的高诊断准确性。此外,miRNA 有助于提高鉴别高级别和低级别子宫内膜样肿瘤的能力。

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