RESUMO
BACKGROUND: Ovarian cancer (OC) is associated with high mortality in gynecological oncology; this is mainly due to the low diagnosis rate. Exosomal miRNA has demonstrated potential as a tumor biomarker. We aimed to explore the diagnostic potential of serum exosomal miR-1307 and miR-375 for OC. METHODS: The first six candidate miRNAs were selected from the previous literature. The relative quantification of qRT-PCR was used to screen for the stability of exosomal miRNAs, followed by validation of the cohort. ROC analysis was employed to analyze the specificity and sensitivity of exosomal miRNA. RESULTS: MiR-1307 and miR-375 were confirmed stably existing in serum exosomes of OC. Moreover, miR-1307 and miR-375 were both significantly up-regulated in serum exosomes of OC compared to ovarian benign and healthy groups. The overexpressed miRNAs showed independent diagnostic power and enhanced the diagnostic accuracy of traditional biomarkers when combined with CA-125 and HE4. MiR-1307 was associated with tumor staging, and miR-375 was associated with lymph node metastasis of OC. CONCLUSION: Our results suggest that serum exosomal miR-1307 and miR-375 could serve as potential tumor biomarkers to improve diagnostic efficiency for OC.
Assuntos
Biomarcadores Tumorais/sangue , Exossomos/genética , MicroRNAs/sangue , Neoplasias Ovarianas/diagnóstico , Adulto , Idoso , Idoso de 80 Anos ou mais , Biomarcadores Tumorais/genética , Feminino , Humanos , Metástase Linfática/genética , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Neoplasias Ovarianas/sangue , Neoplasias Ovarianas/genética , Neoplasias Ovarianas/patologia , Regulação para Cima , Adulto JovemRESUMO
Based on the concentrations of heavy metals from 95 topsoil samples, the spatial distribution characteristics and sources of the heavy metals in soil of the surrounding area of Fenhe Reservoir were analyzed with a method combining multivariate statistics and geo-statistics. The results showed that the average concentrations of the Cr, Cu, Ni, Pb, and Zn in soil of study area were 38.45, 19.09, 24.02, 11.98 and 55.01 mg x kg(-1), respectively, and all were lower than the first class standard of the national soil environment and the background values of soil in Shanxi Province. For all heavy metals, there were some samples with concentrations higher than the background values of soil in Shanxi Province, especially for Pb, Cr, and Cu, exceeding by 28%, 14%, and 13%, respectively. The results of correlation analysis and factor analysis showed that the sources of the excess of these heavy metals could be divided into three categories, Cu, Ni and Zn as one class, Cr and Pb as the other two classes. Spatial structure analysis showed the excess of Cu, Ni, and Zn came mainly from daily life and production activities, and the excess of Cr and Pb came mainly from agricultural activities and transportation.