Meanwhile, Tian et al. distinguished metastatic breast cancer patients from non-metastatic breast cancer patients and healthy controls based on the expression levels of eight protein markers on plasma-derived EVs (CA 15-3, CA 125, CEA, HER2, EGFR, PSMA, EpCAM, and VEGF) using machine learning assisted-thermophoretic aptasensor (TAS) [45]. Here, ERBB2 is linked to breast cancer.