Figure 3.

Schematic representation of the workflow for developing multi-cancer early detection tests. Data mining of big datasets, such as TCGA, are great tools for selecting biomarkers with utility for cancer detection. Liquid biopsies provide a minimally invasive way to obtain cancer-related information, namely, circulating tumor cells (CTCs), circulating nucleic acids (cfDNA and cfRNA), extracellular vesicles (EVs), and tumor-educated platelets (TEPs). The molecular analysis of these biomarkers combined with machine learning classifiers shows great potential for detecting multiple cancers simultaneously and discriminating tissue of origin (TOO). Created with BioRender.com.