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Cancerome: A Hidden Informative Subnetwork of the Diseasome Publisher Pubmed



Jalili M1 ; Salehzadehyazdi A1, 2 ; Yaghmaie M1 ; Ghavamzadeh A1 ; Alimoghaddam K1
Authors
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Authors Affiliations
  1. 1. Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, 18051, Germany

Source: Computers in Biology and Medicine Published:2016


Abstract

Neoplastic disorders are a leading cause of mortality and morbidity worldwide. Studying the relationships between different cancers using high throughput-generated data may elucidate undisclosed aspects of cancer etiology, diagnosis, and treatment. Several studies have described relationships between different diseases based on genes, proteins, pathways, gene ontology, comorbidity, symptoms, and other features. In this study, we first constructed an integrated human disease network based on nine different biological aspects, including molecular, functional, and clinical features. Next, we extracted the cancerome as a cancer-related subnetwork. Further investigation of cancerome could reveal hidden mechanisms of cancer and could be useful in developing new diagnostic tests and effective new drugs. © 2016