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Activity Number: 366 - SPEED: Recent Advances in Statistical Genomics and Genetics
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 11:15 AM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #332553
Title: Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer
Author(s): Xiaoli Zhang* and Kalpana Ghoshal
Companies: Ohio State University and The Ohio State University
Keywords: liver cancer; glucose metabolic pathway; altered expression in tumor; AJCC stage; overall survvial

Hepatocellular carcinoma (HCC) is the most prevalent primary cancer and a highly aggressive liver malignancy. Liver cancer cells reprogram their metabolic pathways to meet their needs for rapid proliferation and generation of the biomass for tumor growth. The accelerated aerobic glycolysis in tumor has been considered one of the hallmarks that distinguish cancer cells from normal cells. In the present study, liver hepatocellular cancer dataset of the Cancer Genome Atlas (LIHC TCGA) was used to investigate the alterations in expressions of the glycolytic pathway as well as their association with the patient clinical stage and overall survival in liver cancer. The study showed that many genes involved in the glucose metabolic pathway are altered in liver tumor compared to the corresponding normal tissues. More importantly, many differentially expressed genes are associated with advanced AJCC clinical stage, and also are associated with poor prognosis of patient overall survival determined by multivariate Cox proportional hazard models. Therefore, the identified dysregulated genes could be used as potential prognostic markers as well as therapeutic targets for liver cancer.

Authors who are presenting talks have a * after their name.

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