OSkirc: a web tool for identifying prognostic biomarkers in kidney renal clear cell carcinoma.
Longxiang XieQiang WangYifang DangLinna GeXiaoxiao SunNing LiYali HanZhongyi YanLu ZhangYongqiang LiHaiyu ZhangXiangqian GuoPublished in: Future oncology (London, England) (2019)
Aim: To develop a free and quick analysis online tool that allows users to easily investigate the prognostic potencies of interesting genes in kidney renal clear cell carcinoma (KIRC). Patients & methods: A total of 629 KIRC cases with gene expression profiling data and clinical follow-up information are collected from public Gene Expression Omnibus and The Cancer Genome Atlas databases. Results: One web application called Online consensus Survival analysis for KIRC (OSkirc) that can be used for exploring the prognostic implications of interesting genes in KIRC was constructed. By OSkirc, users could simply input the gene symbol to receive the Kaplan-Meier survival plot with hazard ratio and log-rank p-value. Conclusion: OSkirc is extremely valuable for basic and translational researchers to screen and validate the prognostic potencies of genes for KIRC, publicly accessible at http://bioinfo.henu.edu.cn/KIRC/KIRCList.jsp.
Keyphrases
- genome wide
- genome wide identification
- dna methylation
- gene expression
- bioinformatics analysis
- copy number
- health information
- end stage renal disease
- healthcare
- transcription factor
- social media
- genome wide analysis
- ejection fraction
- newly diagnosed
- chronic kidney disease
- wastewater treatment
- mental health
- machine learning
- clinical practice
- peritoneal dialysis
- lymph node metastasis
- patient reported outcomes
- high throughput
- electronic health record