Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China.
Department of Anesthesia, Stanford University, Stanford, CA 94305, USA.
Future Oncol. 2019 Nov;15(32):3693-3699. doi: 10.2217/fon-2019-0412. Epub 2019 Sep 12.
To establish a web server that can mutually validate prognostic biomarkers of cervical cancer. Four datasets including expression profiling and relative clinical follow-up data were collected from Gene Expression Omnibus and The Cancer Genome Atlas. The web server was developed by R software. The web server was named OScc including 690 patients and can be accessed at http://bioinfo.henu.edu.cn/CESC/CESCList.jsp. The Kaplan-Meier survival curves with log-rank p-value and hazard ratio will be generated of interested gene in OScc. Compared with previous predictive tools, OScc had the advantages of registration-free, larger sample size and subgroup analysis. The OScc is highly valuable to perform the preliminary assessment and validation of new or interested prognostic biomarkers for cervical cancer.
建立一个能够相互验证宫颈癌预后生物标志物的网络服务器。从基因表达综合数据库和癌症基因组图谱中收集了四个包含表达谱和相关临床随访数据的数据集。该网络服务器由 R 软件开发。网络服务器被命名为 OScc，包含 690 名患者，可以通过 http://bioinfo.henu.edu.cn/CESC/CESCList.jsp 访问。将为 OScc 中感兴趣的基因生成生存曲线和对数秩 p 值和风险比。与之前的预测工具相比，OScc 具有无需注册、更大的样本量和亚组分析的优势。OScc 对于初步评估和验证新的或感兴趣的宫颈癌预后生物标志物具有很高的价值。
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