An individualized prognostic signature for gastric cancer patients treated with 5-Fluorouracil-based chemotherapy and distinct multi-omics characteristics of prognostic groups.

摘要: // Xiangyu Li 1 , Hao Cai Weicheng Zheng Mengsha Tong Hongdong Lu Ao Jing Guini Hong Mengyao Qingzhou Guan Sheng Yang 2 Da 3 Xu Lin Guo Department of Bioinformatics, Key Laboratory Ministry Education for Gastrointestinal Cancer, The School Basic Medical Sciences, Fujian University, Fuzhou, China Oncology, University Union Hospital, Pharmaceutical Pittsburgh, USA Correspondence to: Guo, e-mail: guoz@ems.hrbmu.edu.cn Lin, linxu@mail.fjmu.edu.cn Yang, dyang@pitt.edu Keywords: gastric cancer, 5-Fluorouracil-based chemotherapy, gene expression, drug resistance, prognostic signature Received: September 26, 2015      Accepted: January 14, 2016      Published: 30, 2016 ABSTRACT 5-Fluorouracil (5-FU)-based chemotherapy is currently the first-line treatment cancer. In this study, using expression profiles a panel cell lines with sensitivity data and two cohorts patients, we extracted consisting pairs ( KCNE2 API5 PRPF3 ) whose within-sample relative orderings (REOs) could robustly predict prognoses cancer patients treated 5-FU-based chemotherapy. This REOs-based was insensitive to experimental batch effects be directly applied samples measured by different laboratories. Taking unique advantage signature, classified Cancer Genome Atlas (TCGA) into groups distinct transcriptional characteristics, circumventing usage confounded TCGA survival data. We further showed that displayed copy number, mutation DNA methylation landscapes multi-omics results provided hints understanding molecular mechanisms determining