癌基因组：疾病体中一个隐藏的信息子网。

Cancerome: A hidden informative subnetwork of the diseasome.

作者信息

Jalili Mahdi, Salehzadeh-Yazdi Ali, Yaghmaie Marjan, Ghavamzadeh Ardeshir, Alimoghaddam Kamran

机构信息

Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran.

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.

出版信息

Comput Biol Med. 2016 Sep 1;76:173-7. doi: 10.1016/j.compbiomed.2016.07.010. Epub 2016 Jul 20.

DOI:10.1016/j.compbiomed.2016.07.010

PMID:27468170

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.

摘要

肿瘤性疾病是全球范围内死亡率和发病率的主要原因。利用高通量生成的数据研究不同癌症之间的关系，可能会阐明癌症病因、诊断和治疗中未被揭示的方面。几项研究已经基于基因、蛋白质、信号通路、基因本体、共病、症状和其他特征描述了不同疾病之间的关系。在本研究中，我们首先基于九个不同的生物学方面构建了一个综合人类疾病网络，包括分子、功能和临床特征。接下来，我们提取了癌基因组作为癌症相关子网。对癌基因组的进一步研究可能揭示癌症的隐藏机制，并有助于开发新的诊断测试和有效的新药。