Automated analysis of immunohistochemistry images identifies candidate location biomarkers for cancers.

ABSTRACT: Molecular biomarkers are changes measured in biological samples that reflect disease states. Such markers can help clinicians identify types of cancer or stages of progression, and they can guide in tailoring specific therapies. Many efforts to identify biomarkers consider genes that mutate between normal and cancerous tissues or changes in protein or RNA expression levels. Here we define location biomarkers, proteins that undergo changes in subcellular location that are indicative of disease. To discover such biomarkers, we have developed an automated pipeline to compare the subcellular location of proteins between two sets of immunohistochemistry images. We used the pipeline to compare images of healthy and tumor tissue from the Human Protein Atlas, ranking hundreds of proteins in breast

SUBMITTER: Kumar A 

PROVIDER: S-EPMC4280586 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature