Understanding cancer complexome using networks, spectral graph theory and multilayer framework.
Cancer complexome comprises a heterogeneous and multifactorial milieu that varies in cytology, physiology, signaling mechanisms and response to therapy. The combined framework of network theory and spectral graph theory along with the multilayer analysis provides a comprehensive approach to analyze the proteomic data of seven different cancers, namely, breast, oral, ovarian, cervical, lung, colon and prostate. Our analysis demonstrates that the protein-protein interaction networks of the normal and the cancerous tissues associated with the seven cancers have overall similar structural and spectral properties. However, few of these properties implicate unsystematic changes from the normal to the disease networks depicting difference in the interactions and highlighting changes in the complexity of different cancers. Importantly, analysis of common proteins of all the cancer networks reveals few proteins namely the sensors, which not only occupy significant position in all the layers but also have direct involvement in causing cancer. The prediction and analysis of miRNAs targeting these sensor proteins hint towards the possible role of these proteins in tumorigenesis. This novel approach helps in understanding cancer at the fundamental level and provides a clue to develop promising and nascent concept of single drug therapy for multiple diseases as well as personalized medicine.
Centre for Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Simrol, Indore, Madhya Pradesh 453552, India.
Aparna
A
Rai
Complex Systems Lab, Discipline of Physics, Indian Institute of Technology Indore, Simrol, Indore, Madhya Pradesh 453552, India.
Priodyuti
P
Pradhan
Department of Biological Sciences, Birla Institute of Technology and Science, Vidya Vihar, Pilani, Rajasthan 333031, India.
Jyothi
J
Nagraj
Department of Biological Sciences, Birla Institute of Technology and Science, Vidya Vihar, Pilani, Rajasthan 333031, India.
K
K
Lohitesh
Department of Biological Sciences, Birla Institute of Technology and Science, Vidya Vihar, Pilani, Rajasthan 333031, India.
Rajdeep
R
Chowdhury
Centre for Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Simrol, Indore, Madhya Pradesh 453552, India.|Complex Systems Lab, Discipline of Physics, Indian Institute of Technology Indore, Simrol, Indore, Madhya Pradesh 453552, India.
Sarika
S
Jalan