Work

Common biochemical and topological properties of metabolic genes recurrently dysregulated in tumors

Year: 2019

Type: dataset

Abstract: Although tumors exhibit numerous metabolic alterations, it’s unclear if common objectives and constraints underlie diverse metabolic changes. Here we interpret cancer gene expression, copy number variation, and survival data using a computational model, MetOncoFit. MetOncoFit evaluates142 metabolic features that can impact tumor fitness, including enzyme catalytic activity, pathway association, network topological attributes, and reaction flux. Meta-analysis of tumor databases using MetOncoFit revealed that metabolic enzymes with high catalytic activity were frequently up-regulated in many tumors and associated with poor survival. MetOncoFit also identified metabolites that were hot-spots of dysregulation. MetOncoFit illuminates how enzyme activity and metabolic network architecture influences tumorigenesis.

Source: Figshare

DOI: 10.5281/zenodo.3520695

Authors: Krishnadev Oruganty, Campit, Scott Edward, Sainath Mamde, Lyssiotis, Costas A., Sriram Chandrasekaran

Institutions: University of Michigan, Michigan Medicine, U-M Rogel Cancer Center

Language: English

Topic: Cancer, Hypoxia, and Metabolism

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4393617862

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