OSlihc: An Online Prognostic Biomarker Analysis Tool for Hepatocellular Carcinoma

被引:14
|
作者
An, Yang [1 ]
Wang, Qiang [1 ]
Zhang, Guosen [1 ]
Sun, Fengjie [1 ]
Zhang, Lu [1 ]
Li, Haojie [1 ]
Li, Yingkun [1 ]
Peng, Yanyu [1 ]
Zhu, Wan [2 ]
Ji, Shaoping [1 ]
Guo, Xiangqian [1 ]
机构
[1] Henan Univ, Henan Prov Engn Ctr Tumor Mol Med,Sch Software, Dept Predict Med,Inst Biomed Informat,Sch Basic M, Cell Signal Transduct Lab,Bioinformat Ctr,Kaifeng, Kaifeng, Peoples R China
[2] Stanford Univ, Dept Anesthesia, Stanford, CA 94305 USA
来源
FRONTIERS IN PHARMACOLOGY | 2020年 / 11卷
基金
中国国家自然科学基金;
关键词
liver hepatocellular carcinoma; prognosis biomarker; survival analysis; gene expression profiling; survival outcome; POOR SURVIVAL; OSTEOPONTIN; METASTASIS; EXPRESSION; INVASION; MARKERS; LEVEL; CXCL1;
D O I
10.3389/fphar.2020.00875
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors in the world with an increasing number of fatalities. Identification of novel prognosis biomarker for LIHC may improve treatment and therefore patient outcomes. The availability of public gene expression profiling data offers the opportunity to discover prognosis biomarkers for LIHC. We developed an online consensus survival analysis tool named OSlihc using gene expression profiling and long-term follow-up data to identify new prognosis biomarkers. OSlihc consists of 637 cases from four independent cohorts. As a risk assessment tool, OSlihc generates the Kaplan-Meier survival plot with hazard ratio (HR) and p value to evaluate the prognostic value of a gene of interest. To test the reliability of OSlihc, we analyzed 65 previous reported prognostic biomarkers in OSlihc and showed that all of which have significant prognostic values. Furthermore, we identified four novel potential prognostic biomarkers (ATG9A,WIPI1,CXCL1, andCSNK2A2) for LIHC, the elevated expression of which predict the unfavorable survival outcomes. These genes (ATG9A,WIPI1,CXCL1, andCSNK2A2) may be potentially new biomarkers to identify at-risk LIHC patients when further validated. By OSlihc, users can evaluate the prognostic abilities of genes of their interest, which provides a platform for researchers to identify prognostic biomarkers to further develop targeted therapy strategies for LIHC patients. OSlihc is public and free to the users athttp://bioinfo.henu.edu.cn/LIHC/LIHCList.jsp.
引用
收藏
页数:9
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