title: Network Topologies Decoding Cervical Cancer.
abstract: According to the GLOBOCAN statistics, cervical cancer is one of the leading causes of death among women worldwide. It is found to be gradually increasing in the younger population, specifically in the developing countries. We analyzed the protein-protein interaction networks of the uterine cervix cells for the normal and disease states. It was found that the disease network was less random than the normal one, providing an insight into the change in complexity of the underlying network in disease state. The study also portrayed that, the disease state has faster signal processing as the diameter of the underlying network was very close to its corresponding random control. This may be a reason for the normal cells to change into malignant state. Further, the analysis revealed VEGFA and IL-6 proteins as the distinctly high degree nodes in the disease network, which are known to manifest a major contribution in promoting cervical cancer. Our analysis, being time proficient and cost effective, provides a direction for developing novel drugs, therapeutic targets and biomarkers by identifying specific interaction patterns, that have structural importance.
authors: Centre for Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, 452017, India; Complex Systems Lab, Discipline of Physics, School of Basic Sciences, Indian Institute of Technology Indore, Indore, 452017, India.
authors: Sarika
authors: S
authors: Jalan
authors: Centre for Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, 452017, India.
authors: Krishna
authors: K
authors: Kanhaiya
authors: Centre for Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, 452017, India.
authors: Aparna
authors: A
authors: Rai
authors: Molecular Medicine Partnership Unit, EMBL-University of Heidelberg, Heidelberg, Im Neuenheimer Feld 350, Heidelberg, Germany.
authors: Obul Reddy
authors: OR
authors: Bandapalli
authors: Complex Systems Lab, Discipline of Physics, School of Basic Sciences, Indian Institute of Technology Indore, Indore, 452017, India.
authors: Alok
authors: A
authors: Yadav
mesh_terms: D019295:Computational Biology; D005260:Female; D006801:Humans; D009363:Neoplasm Proteins / Q000378:metabolism; D060066:Protein Interaction Maps; D002583:Uterine Cervical Neoplasms / Q000378:metabolism* / Q000473:pathology
chemical_list: D009363:Neoplasm Proteins