Yan Zhongyi, Wang Qiang, Sun Xiaoxiao, Ban Bingbing, Lu Zhendong, Dang Yifang, Xie Longxiang, Zhang Lu, Li Yongqiang, Zhu Wan, Guo Xiangqian
Cell Signal Transduction Laboratory, Department of Preventive Medicine, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, China.
Department of Anesthesia, Stanford University, Stanford, CA, United States.
Front Oncol. 2019 Dec 20;9:1349. doi: 10.3389/fonc.2019.01349. eCollection 2019.
Potential prognostic mRNA biomarkers are exploited to assist in the clinical management and treatment of breast cancer, which is the first life-threatening tumor in women worldwide. However, it is technically challenging for untrained researchers to process high dimensional profiling data to screen and validate the potential prognostic values of genes of interests in multiple cohorts. Our aim is to develop an easy-to-use web server to facilitate the screening, developing, and evaluating of prognostic biomarkers in breast cancers. Herein, we collected more than 7,400 cases of breast cancer with gene expression profiles and clinical follow-up information from The Cancer Genome Atlas and Gene Expression Omnibus data, and built an Online consensus Survival analysis web server for Breast Cancers, abbreviated OSbrca, to generate the Kaplan-Meier survival plot with a hazard ratio and log rank -value for given genes in an interactive way. To examine the performance of OSbrca, the prognostic potency of 128 previously published biomarkers of breast cancer was reassessed in OSbrca. In conclusion, it is highly valuable for biologists and clinicians to perform the preliminary assessment and validation of novel or putative prognostic biomarkers for breast cancers. OSbrca could be accessed at http://bioinfo.henu.edu.cn/BRCA/BRCAList.jsp.
潜在的预后mRNA生物标志物被用于辅助乳腺癌的临床管理和治疗,乳腺癌是全球女性中首个危及生命的肿瘤。然而,对于未经训练的研究人员来说,处理高维分析数据以筛选和验证多个队列中感兴趣基因的潜在预后价值在技术上具有挑战性。我们的目标是开发一个易于使用的网络服务器,以促进乳腺癌预后生物标志物的筛选、开发和评估。在此,我们从癌症基因组图谱和基因表达综合数据库中收集了7400多例具有基因表达谱和临床随访信息的乳腺癌病例,并构建了一个乳腺癌在线一致性生存分析网络服务器,简称为OSbrca,以交互式方式生成给定基因的Kaplan-Meier生存曲线以及风险比和对数秩值。为了检验OSbrca的性能,我们在OSbrca中重新评估了128个先前发表的乳腺癌生物标志物的预后效力。总之,对生物学家和临床医生来说,对乳腺癌新的或假定的预后生物标志物进行初步评估和验证具有很高的价值。可通过http://bioinfo.henu.edu.cn/BRCA/BRCAList.jsp访问OSbrca。