OScc: an online survival analysis web server to evaluate the prognostic value of biomarkers in cervical cancer.

Abstract

Aim: To establish a web server that can mutually validate prognostic biomarkers of cervical cancer. Methods: 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. Results: 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. Conclusion: The OScc is highly valuable to perform the preliminary assessment and validation of new or interested prognostic biomarkers for cervical cancer.

• Authors: Qiang Wang, Lu Zhang, Zhongyi Yan, Longxiang Xie, Yang An, Huimin Li, Yali Han, Guosen Zhang, Huan Dong, Hong Zheng, Wan Zhu, Yongqiang Li, Yunlong Wang, Xiangqian Guo
• Journal: Future oncology (London, England) (Future Oncol) Vol. 15 Issue 32 Pg. 3693-3699 (Nov 2019) ISSN: 1744-8301 [Electronic] England
• PMID: 31512935 (Publication Type: Journal Article)

Chemical References

• Biomarkers, Tumor

Topics

• Biomarkers, Tumor (genetics)
• Databases, Factual
• Female
• Gene Expression Profiling
• Humans
• Prognosis
• Reproducibility of Results
• Risk Factors
• Software
• Survival Analysis
• Uterine Cervical Neoplasms (genetics, mortality)