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Differential Expression of MicroRNAs in Serum and Plasma

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A large number of studies have shown that free miRNAs in serum may be an important marker for cancer diagnosis (Santarelli et al. 2011). Tomasetti et al. (2012) found that miR-126 in the serum of patients with MM was significantly downregulated, and patients with MM could be distinguished from the control population according to the expression level of miR-126. Studies by Kirschner et al. (2012) show that serum miR-625-3p in patients with MM is significantly increased. Receiver operating curve (ROC) analysis shows that the accuracy rate of distinguishing patients with MM from controls by serum miR-625-3p expression level is 82.4%; sensitivity and specificity are 73.33% and 78.58% respectively. When the digital methylation-specific PCR (MSP) method was used to detect quantitatively the methylation level of miR-34b/c in circulating serum from MPM patients, from benign asbestos pleurisy patients, and from healthy people, it was found that the methylation level of miR-34b/c in the serum of MPM patients was significantly increased. Through ROC analysis it was found that the accuracy of detecting the methylation of miR-34b/c in the serum to diagnose MPM was 77%, and the sensitivity and specificity were 67% and 77% (Muraoka et al. 2013) .

The expression level of circulating miR-132-3p in the plasma of MM patients and asbestos-exposed people is different. Its sensitivity and specificity for MM diagnosis are 86% and 61%, and it is not affected by age and smoking. The sensitivity and specificity of miR-126 combined with miR-132-3p in the diagnosis of malignant mesothelioma were 86% and 77%, respectively (Weber et al. 2017). Plasmatic extracellular vesicles-associated miR-103a-3p and miR-30e-3p are able to discriminate MPM subjects from past asbestos exposure (PAE) subjects (Cavalleri et al. 2017).

Serum or plasma miRNA is a rapid, convenient, and relatively non-invasive marker. If multiple miRNAs can be used in combination for diagnosis, the sensitivity and specificity may be further improved, which will be helpful for early diagnosis of MM.

Genomic and Epigenomic Biomarkers of Toxicology and Disease

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