Dissortativity and duplications in Oral cancer

TL;DR

This study analyzes protein-protein interaction networks in oral cancer to identify structural changes, revealing insights into the disease's complexity through network dissortativity, duplications, and spectral properties.

Contribution

It introduces a comparative network analysis of normal and oral cancer tissues, highlighting structural differences and spectral characteristics related to disease complexity.

Findings

Structural changes in hub protein interactions

Differences in degree-degree correlations

Distinct spectral degeneracy patterns

Abstract

More than 300,000 new cases worldwide are being diagnosed with oral cancer annually. Complexity of oral cancer renders designing drug targets very difficult. We analyse protein-protein interaction network for the normal and oral cancer tissue and detect crucial changes in the structural properties of the networks in terms of the interactions of the hub proteins and the degree-degree correlations. Further analysis of the spectra of both the networks, while exhibiting universal statistical behavior, manifest distinction in terms of the zero degeneracy, providing insight to the complexity of the underlying system.