Methods for identifying and selecting algorithms
usable for detecting tumors and / or cancers
in patient samples are provided. In some embodiments, the methods include determining
gene expression levels of one or more of FGFR1OP2, CDH1, TP53, PIK3CA, S100A8, FAXDC2, CLEC12A, DMTN, MUC1, PSPH, MALAT1, and MKI67 present in a biological sample isolated from the subject that has one or more tumor educated cells that have been contacted directly or indirectly by the tumor and / or the
cancer. Disclosed methods include, but are not limited to, generating
gene expression profiles predictive of diseases and / or disorders, inhibiting
gene expression changes resulting from
initiation and / or progression of diseases and / or disorders, inhibiting proliferation and / or survival of target cells, inhibiting
epithelial mesenchymal transition (EMT), inhibiting
platelet aggregation, and inhibiting loss of immune
cell targeting ability, among others. Also provided are systems for use in the presently disclosed methods.