4.7 Article

Network medicine in ovarian cancer: topological properties to drug discovery

期刊

BRIEFINGS IN BIOINFORMATICS
卷 23, 期 3, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bib/bbac085

关键词

ovarian cancer; fractal; hierarchical network; topological properties; provincial hubs

资金

  1. Department of Biotechnology, Government of India (DBT-COE)
  2. Department of Health Research, Ministry of Health and Family Welfare, Government of India

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This study investigates the topological properties of ovarian cancer network (OCN) and the roles of hubs to understand OCN organization and disease complexity. The OCN exhibits self-organizing behavior with fractal properties and follows scaling laws at all levels of organization. The key regulators, including provincial and connector hubs, are responsible for maintaining the integrity and organization of the network. These key regulators are overexpressed and positively correlated with immune infiltrates. Additionally, potential drugs related to the key regulators are identified.
Network medicine provides network theoretical tools, methods and properties to study underlying laws governing human interactome to identify disease states and disease complexity leading to drug discovery. Within this framework, we investigated the topological properties of ovarian cancer network (OCN) and the roles of hubs to understand OCN organization to address disease states and complexity. The OCN constructed from the experimentally verified genes exhibits fractal nature in the topological properties with deeply rooted functional communities indicating self-organizing behavior. The network properties at all levels of organization obey one parameter scaling law which lacks centrality lethality rule. We showed that < k > can be taken as a scaling parameter, where, power law exponent can be estimated from the ratio of network diameters. The betweenness centrality C-B shows two distinct behaviors one shown by high degree hubs and the other by segregated low degree nodes. The C-B power law exponent is found to connect the exponents of distributions of high and low degree nodes. OCN showed the absence of rich-club formation which leads to the missing of a number of attractors in the network causing formation of weakly tied diverse functional modules to keep optimal network efficiency. In OCN, provincial and connector hubs, which includes identified key regulators, take major responsibility to keep the OCN integrity and organization. Further, most of the key regulators are found to be over expressed and positively correlated with immune infiltrates. Finally, few potential drugs are identified related to the key regulators.

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