Xie Longxiang, Wang Qiang, Yan Zhongyi, Han Yali, Ma Xiaoyu, Li Huimin, Zhang Lu, Li Xianzhe, Guo Xiangqian
Department of Preventive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China.
Department of Thoracic Surgery, The Affiliated Nanshi Hospital of Henan University, Nanyang, China.
Front Oncol. 2022 Mar 11;12:856988. doi: 10.3389/fonc.2022.856988. eCollection 2022.
Evaluating the prognostic value of genes of interest in different populations of gastric cancer (GC) is difficult and time-consuming for basic and translational researchers even though many datasets are available in public dataset depositories. In the current study, we developed a robust web-based portal called OSgc (Online consensus Survival analysis of gastric cancer) that enables easy and swift verification of known and novel biomarker candidates in GC. OSgc is composed of gene expression profiling data and clinical follow-up information of 1,824 clinical GC cases, which are collected from 7 public independent datasets derived from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). By OSgc, users input the official gene symbol and will promptly retrieve the Kaplan-Meier survival plot with hazard ratio (HR) and log rank value on the output webpage, by which users could assess the prognostic value of interesting genes for GC patients. Five survival end points containing overall survival, progression-free survival, progression-free interval, relapse-free survival, and disease-free survival could be measured in OSgc. OSgc can greatly help cancer biologists and clinicians to explore the effect of gene expression on patient survival. OSgc is freely available without restrictions at http://bioinfo.henu.edu.cn/GC/GCList.jsp.
对于基础研究人员和转化研究人员而言，评估胃癌（GC）不同人群中感兴趣基因的预后价值既困难又耗时，尽管公共数据集存储库中有许多可用数据集。在本研究中，我们开发了一个强大的基于网络的平台，称为OSgc（胃癌在线共识生存分析），它能够轻松快速地验证GC中已知和新的生物标志物候选物。OSgc由1824例临床GC病例的基因表达谱数据和临床随访信息组成，这些数据来自从基因表达综合数据库（GEO）和癌症基因组图谱（TCGA）获得的7个公共独立数据集。通过OSgc，用户输入官方基因符号，将在输出网页上迅速检索到带有风险比（HR）和对数秩值的Kaplan-Meier生存图，用户可以据此评估感兴趣基因对GC患者的预后价值。OSgc可以测量五个生存终点，包括总生存期、无进展生存期、无进展间期、无复发生存期和无病生存期。OSgc可以极大地帮助癌症生物学家和临床医生探索基因表达对患者生存的影响。OSgc可在http://bioinfo.henu.edu.cn/GC/GCList.jsp上免费无限制获取。
