Abstract 1199: Systems-based approach identifies altered carbohydrate metabolism as a predictor of a malignant phenotype in ovarian cancer

Conclusions: Here, we present a novel systems-based approach using altered metabolites and genes to predict a malignant phenotype specific to HGSOC patients. Altered metabolism, coupled with genomic analyses, identified the most interconnected gene-biochemical networks that will lead to novel biomarkers and therapeutic targets.Citation Format: Rebecca A. Previs, Tyler J. Moss, Behrouz Zand, Rajesha Rupaimoole, Heather J. Dalton, Jean M. Hansen, Guillermo Armaiz-Pena, Susan Lutgendorf, Robert L. Coleman, Pratip Bhattacharya, Prahlad Ram, Anil K. Sood. Systems-based approach identifies altered carbohydrate metabolism as a predictor of a malignant phenotype in ovarian cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1199. doi:10.1158/1538-7445.AM2015-1199

Source: Cancer Research - August 2, 2015 Category: Cancer & Oncology Authors: Previs, R. A., Moss, T. J., Zand, B., Rupaimoole, R., Dalton, H. J., Hansen, J. M., Armaiz-Pena, G., Lutgendorf, S., Coleman, R. L., Bhattacharya, P., Ram, P., Sood, A. K. Tags: Molecular and Cellular Biology Source Type: research