Literature DB >> 32151712

Polymer-Based Precipitation of Extracellular Vesicular miRNAs from Serum Improve Gastric Cancer miRNA Biomarker Performance.

Ka Yan Chung1, Jia Min Quek2, Shu Hui Neo2, Heng Phon Too3.   

Abstract

Circulating miRNAs are promising liquid biopsy biomarkers for noninvasive cancer detection. However, detection of subtle, but meaningful differences in circulating miRNA quantities between diseased and healthy samples remains a key challenge in clinical settings because biomarker signal/noise ratios are often low. Because extracellular vesicles (EVs) are key sources of circulating miRNAs in serum, it was hypothesized that isolating EVs would enrich miRNA biomarkers, leading to enhanced diagnostic ability and improved biomarker performance. This research assessed the performance of EV-miRNAs against serum miRNAs as biomarkers for gastric cancer (GC). It was first determined that polymer-based precipitation (PBP) gave the highest EV-miRNA recovery when compared with ultracentrifugation, column affinity, peptide affinity, and immunobead affinity EV purification. Four PBP reagents were used to isolate EV-miRNAs from 15 GC and 15 healthy controls and 133 GC-related miRNAs were profiled from EV fractions and total serum using real-time quantitative PCR. A PBP reagent that generated the most EV-miRNA biomarkers was selected and used to validate 11 EV-miRNAs in an independent set of 20 GC and 20 controls. Eight of these EV-miRNA biomarkers were found to give better GC detection accuracy (area under the curve, approximately 0.8). Overall, data suggest that EV miRNAs can improve GC detection performance compared with serum miRNAs and led to the identification of eight EV-miRNAs as potential noninvasive biomarkers for GC.
Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32151712     DOI: 10.1016/j.jmoldx.2020.01.016

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  4 in total

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Authors:  Ge Li; Haifan Yang; Yong Cheng; Xin Zhao; Xu Li; Rui Jiang
Journal:  Cancer Cell Int       Date:  2020-07-16       Impact factor: 5.722

2.  Clinical value of lncRNA CCAT1 in serum extracellular vesicles as a potential biomarker for gastric cancer.

Authors:  Ke Xiao; Zhaogang Dong; Ding Wang; Min Liu; Juan Ding; Wendan Chen; Ziqi Shang; Congbo Yue; Yi Zhang
Journal:  Oncol Lett       Date:  2021-04-06       Impact factor: 2.967

3.  microRNA-15b-5p encapsulated by M2 macrophage-derived extracellular vesicles promotes gastric cancer metastasis by targeting BRMS1 and suppressing DAPK1 transcription.

Authors:  Yi Cao; Yi Tu; Jianbo Xiong; Shengxing Tan; Lianghua Luo; Ahao Wu; Xufeng Shu; Zhigang Jie; Zhengrong Li
Journal:  J Exp Clin Cancer Res       Date:  2022-04-22

4.  Differential microRNA profiles of intramuscular and secreted extracellular vesicles in human tissue-engineered muscle.

Authors:  Christopher G Vann; Xin Zhang; Alastair Khodabukus; Melissa C Orenduff; Yu-Hsiu Chen; David L Corcoran; George A Truskey; Nenad Bursac; Virginia B Kraus
Journal:  Front Physiol       Date:  2022-08-25       Impact factor: 4.755

  4 in total

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