Survival differences of CIMP subtypes integrated with CNA information in human breast cancer

摘要: // Huihan Wang 1, * , Weili Yan 2, Shumei Zhang Yue Gu 1 Yihan Yanjun Wei Hongbo Liu Fang Qiong Wu 2 and College of Bioinformatics Science Technology, Harbin Medical University, Harbin, 150081, China School Life State Key Laboratory Urban Water Resource Environment, Institute 150001, Joint first authors Correspondence to: Zhang, email: tyozhang@ems.hrbmu.edu.cn Keywords: CpG island methylator phenotype (CIMP), breast cancer, copy number alteration (CNA), prognosis, biomarker Received: June 29, 2016      Accepted: March 01, 2017      Published: 14, 2017 ABSTRACT cancer is associated with widespread aberrant methylation at specified islands distinct patient outcomes. However, the influence contributing to prognosis tumors different phenotypes still unclear. We analyzed both genetic (copy number) epigenetic alterations in 765 cancers from The Cancer Genome Atlas data portal got a panel 15 biomarkers for status evaluation. gene identified two groups corresponding profiles. In mere-loss number, patients were faced greater risk if they presented higher pattern panels. But samples presenting merely-gained level was improved viability. all, integration information enhanced classification power on prognosis. Moreover, we found molecular subtypes distributions phenotypes. Generated by same set human 450K data, additional could provide insights into survival prediction less heterogeneity might help determine diagnosis treatment more personalized approach.