微泡
小RNA
前列腺癌
外体
计算生物学
生物
液体活检
癌症生物标志物
癌症研究
癌症
基因
遗传学
生物化学
作者
Yan‐Mei Lei,Xiaochen Fei,Yue Ding,Guihua Zhang,Jia Song,Ying Zhuo,Wei Xue,Peng Zhang,Chaoyong Yang
出处
期刊:Research Square - Research Square
日期:2023-02-02
标识
DOI:10.21203/rs.3.rs-2404819/v1
摘要
Abstract MicroRNAs (miRNAs) have been extensively studied as non-invasive biomarkers for cancer diagnosis and prognosis, while the clinical application was constrained by the heterogeneous miRNA sources in plasma and the tedious assay processes. Here we developed a one-pot assay called dual-Surface-protein-guided Orthogonal Recognition of Tumor-derived Exosomes and in-situ profiling of microRNAs (SORTER) for rapid and precise diagnosis of prostate cancer. The SORTER utilizes the orthogonal barcoding of two allosteric aptamers against exosomal marker CD63 and tumor marker EpCAM to recognize and sort tumor-derived exosome subtypes. Furthermore, the labeled barcode on tumor-derived exosomes guided the targeted fusion with liposome miRNA detection probes, enabling in-situ profiling of tumor-derived exosomal miRNAs. With a signature of six miRNAs, SORTER differentiated prostate cancer and benign prostatic hyperplasia with a sensitivity, specificity, and accuracy of 100% in the training and validation cohorts. The SORTER provides a promising tool to advance the clinical adaptability of miRNA-based liquid biopsy.
科研通智能强力驱动
Strongly Powered by AbleSci AI