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miRNA-204、CA125 和 CA19.9 作为卵巢癌诊断生物标志物的敏感性和特异性。

Sensitivity and specificity of microRNA-204, CA125, and CA19.9 as biomarkers for diagnosis of ovarian cancer.

机构信息

Faculty of Science, Department of Biochemistry, Ain Shams University, Cairo, Egypt.

Faculty of Medicine, Department of Medicine, Ain Shams University, Cairo, Egypt.

出版信息

PLoS One. 2022 Aug 3;17(8):e0272308. doi: 10.1371/journal.pone.0272308. eCollection 2022.

Abstract

BACKGROUND

Ovarian cancer is usually detected at later stages and no effective screening approach, has been identified. Therefore, sensitive and specific biomarkers for detecting ovarian cancer are urgently needed.

OBJECTIVE

This study aimed to investigate the efficacy of six biomarkers for the early clinical diagnosis of ovarian cancer.

SUBJECTS & METHODS: The study included 120 patients (benign ovarian tumors and early and late ovarian carcinoma) and 30 control healthy volunteers. MiRNA-204, CA125, CA19.9, hepcidin, microfibril-associated glycoprotein 2, and ferroportin levels were determined in all patients and control volunteers.

RESULTS

The combined area under the receiver operating characteristic curves for miRNA-204, CA125, and CA19.9 were 0.938, 1.000, and 0.998 for benign tumors and early and late ovarian carcinomas, respectively. The sensitivities of miRNA-204, CA125, and CA19.9 were 98.04%, 100.00%, and 96.19% and the specificities were 58.33%, 62.50%, and 57.78%, respectively.

CONCLUSION

The positive predictivity of miRNA-204, CA125, and CA19.9 for ovarian cancer is high (59.57%, 58.24%, and 61.67%, respectively). Thus, the combination of these three biomarkers is a good diagnostic tool for ovarian cancer.

摘要

背景

卵巢癌通常在晚期才被发现,目前尚无有效的筛查方法。因此,急需寻找用于诊断卵巢癌的敏感和特异的生物标志物。

目的

本研究旨在探讨六种生物标志物用于早期临床诊断卵巢癌的效果。

受试者与方法

本研究共纳入 120 例患者(良性卵巢肿瘤、早期和晚期卵巢癌)和 30 例健康对照志愿者。检测所有患者和对照志愿者的 miRNA-204、CA125、CA19.9、hepcidin、微纤维相关糖蛋白 2 和亚铁传递蛋白的水平。

结果

miRNA-204、CA125 和 CA19.9 联合的受试者工作特征曲线下面积,对良性肿瘤和早期及晚期卵巢癌的诊断效能分别为 0.938、1.000 和 0.998。miRNA-204、CA125 和 CA19.9 的敏感度分别为 98.04%、100.00%和 96.19%,特异度分别为 58.33%、62.50%和 57.78%。

结论

miRNA-204、CA125 和 CA19.9 对卵巢癌的阳性预测值较高(分别为 59.57%、58.24%和 61.67%)。因此,这三种生物标志物的联合应用是卵巢癌诊断的一种较好的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a74e/9348731/d9ce7584fbd4/pone.0272308.g001.jpg

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