Predictive Value of Plasma Long Noncoding RNA Associated With Microvascular Invasion in Hepatic Carcinoma for Preeclampsia

Autor: Ying Li, Ning Yang, Yuming Li, Xiao-yi Zou, Maoti Wei, Yuan-bing Li, Xin Zhang
Rok vydání: 2020
Předmět:
Zdroj: American Journal of Hypertension. 33:791-791
ISSN: 1941-7225
0895-7061
DOI: 10.1093/ajh/hpaa080
Popis: Background To investigate plasma levels of long noncoding RNA associated with microvascular invasion in hepatic carcinoma (LncRNA MVIH) in patients with preeclampsia (PE) and to explore its predictive value for PE either alone or in combination with other indicators. Methods Plasma samples were obtained from patients in a prospective pregnancy cohort at 7–16 weeks of gestation. Patients were divided into PE and control groups according to pregnancy outcomes. Real-time polymerase chain reaction was used to detect plasma levels of LncRNA MVIH. A univariate analysis was conducted on all indicators. Logistic regression analysis was performed on indexes with statistical differences. The receiver operating characteristic curve was used to evaluate the predict value of each independent risk factor and regression model. Results Before 16 weeks of pregnancy, body mass index, systolic blood pressure, diastolic blood pressure, mean arterial pressure, white blood cell (WBC), hemoglobin, alanine aminotransferase (ALT), uric acid (UA), and urine protein were positively correlated with PE while LncRNA MVIH was negatively correlated with PE. Independent markers with predictive value were LncRNA MVIH, UA, WBC, ALT, and urine protein, with the area under curve (AUC) in predicting PE of 0.763, 0.741, 0.663, 0.666, and 0.601, respectively. After combining these indexes, the AUC increased to 0.890 with sensitivity, specificity, and accuracy of 86.4%, 83.1%, and 84.7% respectively. Conclusions Plasma levels of LncRNA MVIH are negatively correlated with PE and have a predictive value for PE. The combination of LncRNA MVIH, UA, WBC, ALT, and urine protein has a greater predictive value.
Databáze: OpenAIRE