Screening of non-invasive miRNA biomarker candidates for metastasis of gastric cancer by small RNA sequencing of plasma exosomes.

Gastric cancer remains one of the most lethal and prevalent malignancies, particularly in China. The majority of patients are diagnosed with gastric cancer at the late stages of the disease. Besides, the high relapse rate also contributes to the high mortality. Therefore, there exists an imperative need for the development of gastric cancer diagnostic techniques as well as novel indicators for gastric cancer metastasis. Exosomes, secreted by a variety of cell types, play critical roles in intercellular communication, which emerge as promising diagnostic biomarkers for gastric cancer. In this study, we present for the first time, at least to the best of our knowledge, the small RNA sequencing spectra of exosomes derived from the gastric cancer patient plasma using next-generation sequencing, focusing on the exploration of metastasis-related biomarkers. The exosomes enriched from patient plasma samples were well characterized by western blotting, transmission electron microscopy and nanoparticle-tracking analysis. In the following bioinformatic analysis of exosomal miRNAs, three candidates were proposed as the biomarkers for metastasis of gastric cancer, namely miR-10b-5p, miR-101-3p and miR-143-5p, for gastric cancer with lymph node metastasis, gastric cancer with ovarian metastasis and gastric cancer with liver metastasis, respectively. RT-qPCR was performed to test the accuracy of these candidates for validation. In conclusion, we successfully isolated and purified exosomes from plasma of patients with gastric cancer and identified several potential exosomal miRNA markers to distinguish gastric cancer patients with various kinds of metastasis.