C12Q 1/6886(20130101), C12Q 2600/118(20130101), C12Q 2600/158(20130101)
Actively dividing tumors appear to progress to a life threatening condition more rapidly than slowly dividing tumors. Assessing actively dividing tumors currently involves a manual assessment of the number of mitotic cells in a histological slide prepared from the tumor and assessed by a trained pathologist. Disclosed is a method for using cumulative information from a series of expressed genes to determine tumor prognosis. This cumulative information can be used to categorize tumor samples into high mitotic states or low mitotic states using a mathematical algorithm and gene expression data derived from microarrays or quantitative-Polymerase Chain Reaction (Q-PCR) data. The specific mathematical description outlines how the algorithm assesses the most informative subset of genes from the full list of genes during the assessment of each sample.
Yeatman, Timothy; Enkemann, Steven Alan; and Eschrich, Steven, "Genotypic tumor progression classifier and predictor" (2015). USF Patents. 23.
University of South Florida