An Aptamer‐Based Nanoflow Cytometry Method for the Molecular Detection and Classification of Ovarian Cancers through Profiling of Tumor Markers on Small Extracellular Vesicles

• DOI: 10.1002/ange.202314262
• Publication Date: 2023-11-28T04:41:28Z
• Authors: Jin Li; Yingying Li; Qin Li; Lu Sun; Qingqing Tan; Liyan Zheng; Ye Lu; Jianqing Zhu; Fengli Qu; Weihong Tan
• Keywords: Extracellular Vesicles; Ovarian tumor; Aptamer

Abstract Molecular profiling of protein markers on small extracellular vesicles (sEVs) is a promising strategy for the precise detection and classification ovarian cancers. However, this challenging owing to lack simple practical methods. In work, using an aptamer‐based nanoflow cytometry (nFCM) strategy, rapid method molecular multiple sEVs was developed. The can be easily labeled with aptamer probes then rapidly profiled by nFCM. Seven cancer‐associated markers, including CA125, STIP1, CD24, EpCAM, EGFR, MUC1, HER2, plasma were Profiling these seven enabled cancer high accuracy 94.2 %. addition, combined machine learning algorithms, such as linear discriminant analysis (LDA) random forest (RF), classifications cell lines subtypes achieved overall accuracies 82.9 % 55.4 %, respectively. Therefore, simple, rapid, non‐invasive exhibited considerable potential auxiliary diagnosis cancers in clinical practice.