H. Lee Moffitt Cancer Center and Research Institute, Inc.

University of South Florida

Steven Alan Enkemann

Robert J Gillies

David L Morse

Timothy J Yeatman

Dung-Tsa Chen

Steven A Eschrich

Narges Tafreshi

Marilyn M Bui

Amer A Beg

Adam I Riker

William Bradford Carter

Cellular targets on cancer cells have been identified that can be used with targeted molecular imaging to detect the cancer cells in vivo. Non-invasive methods for detecting cancer cells, such as metastasized cancer cells, are therefore provided. Also provided are compositions and kits for use in the disclosed methods.

Molecular imaging of cancer cells in vivo

Methods for predicting NF-kappaB (NF-kB) activity in a tumor, and more particularly to methods for predicting survival and therapeutic outcome, and selecting therapy in subjects with tumors, e.g., adenocarcinomas, e.g., lung adenocarcinomas and melanomas.

Gene signature for the prediction of NF-kappaB activity

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.

Genotypic tumor progression classifier and predictor

Methods and compositions for evaluating gene expression in melanoma samples are provided herein.

Melanoma gene signature

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Lutz, FL, United States of America

Steven Alan Enkemann