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

Conclusion Extracellular Vesicle is a promising technology for non-invasive diagnosis. miRNAs processed by exosomes can be detected by liquid biopsy and used as biomarkers. To evaluate the discriminative ability of miRNAs from whole plasma, EV and EV-free plasma, we analyzed the miRNA expression profiles in whole plasma, EV and EV-free plasma of lung adenocarcinoma and granuloma patients. We found that the top discriminative miRNAs in whole plasma, EV and EV-free plasma were quite different, and the classification rules also varied. The prediction performance of whole plasma was the best but the EV outperformed EV-free plasma. Our results suggested that EV can be used as a lung cancer biomarker but EV may be less stable or difficult to detect than whole plasma, therefore, the whole plasma was still a good choice as lung cancer signatures. Author Contributions XC and YJ did the conception and design, performed the sample collection, analyzed and interpreted the data, and wrote, reviewed, and/or revised the manuscript. XC oversaw the developmental methodology. All authors read and approved the final manuscript. Conflict of Interest Statement XC was employed by company Rongze Biotechnology Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Supplementary Material The Supplementary Material for this article can be found online at: ht...
Source: Frontiers in Genetics - Category: Genetics & Stem Cells Source Type: research