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However, existing methods involve lengthy isolation procedures and exhibit poor detection performance due to severe interference from excessive impurities. In this study, we constructed a dual\u2010target electrochemical (EC) sensing platform based on cascade aggregation effects. Combined with a facile filter\u2010based isolation strategy, this enables rapid and convenient dual\u2010marker (epithelial cell adhesion molecule (EpCAM) and HER2) analysis of breast cancer\u2010derived sEVs. This mechanism relies on the target\u2010triggered disassembly of DNA nanospheres to release Ag\n                    <jats:sup>+<\/jats:sup>\n                    \/Hg\n                    <jats:sup>2+<\/jats:sup>\n                    for EC signaling. Subsequently, colistin specifically binds to G\u2010quadruplexes on unreacted nanospheres and induces their aggregation, sequestering background signal sources and preventing ion leakage. This noise\u2010silencing strategy improved matrix tolerance and reduced background leakage under a standardized diluted\u2010plasma workflow, enabling reliable detection of sEVs\u2010associated signals in filtration\u2010derived clinical samples. A proof\u2010of\u2010concept clinical study involving 63 breast cancer patients and 22 nonmalignant controls successfully demonstrated the platform's capability to distinguish cancer patients from controls. Furthermore, the platform achieved a 88.9% accuracy in differentiating HER2 status within this cohort. Overall, this streamlined \u201cfiltration\u2010to\u2010detection\u201d platform offers a promising strategy for analyzing breast cancer\u2010specific sEVs signals and conducting exploratory HER2\u2010status assessments.\n                  <\/jats:p>","DOI":"10.1002\/advs.77177","type":"journal-article","created":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T09:04:06Z","timestamp":1786698246000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Controllable Cascade Aggregation Ion Programmed Nanomachines and Simple Isolation Enable Tumor\u2010Derived Small Extracellular Vesicles Detection for Enhanced Breast Cancer Assessment"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3607-3151","authenticated-orcid":false,"given":"Zhihao","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Laboratory Medicine Med+X Center for Manufacturing Department of General Surgery State 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