化学
前列腺癌
胞外囊泡
生物标志物
细胞外小泡
小RNA
尿
管道(软件)
生物标志物发现
前列腺
液体活检
色谱法
微泡
计算生物学
癌症
内科学
计算机科学
生物化学
细胞生物学
基因
生物
医学
程序设计语言
蛋白质组学
作者
Yufeng Liu,Guiyuan Zhang,Wei Dong,Hao Zhang,Anton Iliuk,Zhuoying Xie,Yanhong Gu,Zhongze Gu,Ying Zhang,Yefei Zhu
标识
DOI:10.1021/acs.analchem.4c04807
摘要
Extracellular vesicles (EVs) offer promising noninvasive alternatives for convenient and noninvasive prostate cancer (PCa) diagnosis, but inefficient EV enrichment and cargo extraction hinder discovery and validation for their clinical applications. Here, we present an integrated pipeline based on functionalized magnetic beads to streamline and enhance the efficiency of urinary EV miRNA analysis. EVs are first enriched on amphiphilic magnetic beads through chemical affinity, followed by EV lysis and the isolation of miRNAs through solid phase extraction. The new pipeline demonstrated a more than 10-fold increase in urine EV miRNA extraction efficiency compared to the traditional ultracentrifugation combined TRIzol method while reducing the sample processing time to within 1 h. The one-bead strategy further allowed us to automate the procedure on a 96-channel instrument. We applied the pipeline to analyze urine samples from 108 benign prostatic hyperplasia (BPH) controls and 92 PCa cases. Among 195 miRNA biomarkers from the literature, we prioritized 18 miRNAs for quantification and successfully validated 12 miRNAs with a ratio-based normalized method. The quantification data from BPH controls and PCa cases in the training set were subjected to a machine learning analysis of Random Forest, through which we generated a five-miRNA panel consisting of miR-148a-5p, miR-21-5p, miR-181a-5p, miR-222-3p, and miR-100-5p. This panel showed high sensitivity (89%) and specificity (72%) in the test set, highlighting immense potential of this streamlined pipeline for noninvasive diagnosis.
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