title: Cancerome: A hidden informative subnetwork of the diseasome.
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.
authors.affiliation: Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran.
authors.forename: Mahdi
authors.initials: M
authors.lastname: Jalili
authors.affiliation: Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran; Department of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany.
authors.forename: Ali
authors.initials: A
authors.lastname: Salehzadeh-Yazdi
authors.affiliation: Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran.
authors.forename: Marjan
authors.initials: M
authors.lastname: Yaghmaie
authors.affiliation: Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran.
authors.forename: Ardeshir
authors.initials: A
authors.lastname: Ghavamzadeh
authors.affiliation: Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: alimgh@tums.ac.ir.
authors.forename: Kamran
authors.initials: K
authors.lastname: Alimoghaddam
mesh_terms: D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling; D006801:Humans; D009369:Neoplasms / Q000737:chemistry / Q000235:genetics / Q000378:metabolism / Q000503:physiopathology; D025941:Protein Interaction Mapping
keywords: Cancerome; Disease similarity network; Disease–disease network; Diseasome; Integrated human disease network