Evaluation of Plasma Extracellular Vesicle MicroRNA Signatures for Lung Adenocarcinoma and Granuloma With Monte-Carlo Feature Selection Method

In this study, the lung adenocarcinoma patients and granuloma patients were treated as positive samples and negative samples, respectively. We used weighted accuracy to evaluate the RIPPER prediction performance, i.e., the average of the accuracies of positive samples and negative samples. Results The Discriminative MicroRNAs Between Lung Adenocarcinoma and Granuloma Patients in Whole Plasma, EV, and EV-Free Plasma The miRNA expression profiles of lung adenocarcinoma and granuloma patients in whole plasma, EV and EV-free plasma were analyzed separately. In whole plasma, the top 10 discriminative miRNAs were hsa-miR-223-3p, hsa-miR-501-5p, hsa-miR-130b-3p, hsa-miR-5010-5p, hsa-miR-330-5p, hsa-miR-378f, hsa-miR-3158-3p, hsa-miR-542-3p, hsa-miR-183-5p and hsa-miR-942-5p. In EV, the top 10 discriminative miRNAs were hsa-miR-23b-3p, hsa-miR-548ac, hsa-miR-3126-3p, hsa-miR-15b-5p, hsa-miR-205-5p, hsa-miR-5010-5p, hsa-miR-331-5p, hsa-miR-1249-3p, hsa-miR-548c-5p, and hsa-miR-1827. In EV-free plasma, the top 10 discriminative miRNAs were hsa-miR-511-3p, hsa-miR-376a-3p, hsa-miR-3150b-3p, hsa-miR-3150b-5p, hsa-miR-3168, hsa-miR-98-5p, hsa-miR-3136-5p, hsa-miR-210-5p, hsa-miR-340-3p, and hsa-miR-636. Figure 1 shows the heatmaps of the top 10 miRNAs in whole plasma, EV and EV-free plasma. The miRNAs and patients were clustered using ward D2 method (Murtagh and Legendre, 2014) based on Euclidean distance. The R package pheatmap1 was applied to plot the heatmaps. It can be seen from Fi...

https://www.frontiersin.org/articles/10.3389/fgene.2019.00367

Source: Frontiers in Genetics - April 26, 2019 Category: Genetics & Stem Cells Source Type: research

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