Modularity of the metabolic gene network as a prognostic biomarker for hepatocellular carcinoma

@article{Ye2017ModularityOT,
  title={Modularity of the metabolic gene network as a prognostic biomarker for hepatocellular carcinoma},
  author={Fengdan Ye and Dongya Jia and Mingyang Lu and Herbert Levine and Michael W. Deem},
  journal={Oncotarget},
  year={2017},
  volume={9},
  pages={15015 - 15026}
}
Abnormal metabolism is an emerging hallmark of cancer. Cancer cells utilize both aerobic glycolysis and oxidative phosphorylation (OXPHOS) for energy production and biomass synthesis. Understanding the metabolic reprogramming in cancer can help design therapies to target metabolism and thereby to improve prognosis. We have previously argued that more malignant tumors are usually characterized by a more modular expression pattern of cancer-associated genes. In this work, we analyzed the… 
4 Citations

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