Poly-ligand profiling differentiates trastuzumab-treated breast cancer patients according to their outcomes.

ABSTRACT: Assessing the phenotypic diversity underlying tumour progression requires the identification of variations in the respective molecular interaction networks. Here we report proof-of-concept for a platform called poly-ligand profiling (PLP) that surveys these system states and distinguishes breast cancer patients who did or did not derive benefit from trastuzumab. We perform tissue-SELEX on breast cancer specimens to enrich single-stranded DNA (ssDNA) libraries that preferentially interact with molecular components associated with the two clinical phenotypes. Testing of independent sample sets verifies the ability of PLP to classify trastuzumab-treated patients according to their clinical outcomes with ROC-AUC of 0.78. Standard HER2 testing of the same patients gives a ROC-AUC of 0.47. Kapla

SUBMITTER: Domenyuk V 

PROVIDER: S-EPMC5865185 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature