Comprehensive Review of Web Servers and Bioinformatics Tools for Cancer Prognosis Analysis

Frontiers in Oncology

Guosen Zhang¹  Yang An¹  Lu Zhang¹  Yongqiang Li¹  Zhongyi Yan¹  Xiangqian Guo¹  Huan Dong¹  Huimin Li¹  Hong Zheng¹  Longxiang Xie¹  Qiang Wang¹  Yali Han¹  Wan Zhu² 

[1]Cell Signal Transduction Laboratory, Bioinformatics Center, School of Basic Medical Sciences, School of Software, Institute of Biomedical Informatics, Henan University, Kaifeng, China

[2]Department of Anesthesia, Stanford University, Stanford, CA, United States

关键词: web server;    tool;    prognosis;    survival;    cancer;   

DOI  :  10.3389/fonc.2020.00068

来源: DOAJ

【 摘 要 】

Prognostic biomarkers are of great significance to predict the outcome of patients with cancer, to guide the clinical treatments, to elucidate tumorigenesis mechanisms, and offer the opportunity of identifying therapeutic targets. To screen and develop prognostic biomarkers, high throughput profiling methods including gene microarray and next-generation sequencing have been widely applied and shown great success. However, due to the lack of independent validation, only very few prognostic biomarkers have been applied for clinical practice. In order to cross-validate the reliability of potential prognostic biomarkers, some groups have collected the omics datasets (i.e., epigenetics/transcriptome/proteome) with relative follow-up data (such as OS/DSS/PFS) of clinical samples from different cohorts, and developed the easy-to-use online bioinformatics tools and web servers to assist the biomarker screening and validation. These tools and web servers provide great convenience for the development of prognostic biomarkers, for the study of molecular mechanisms of tumorigenesis and progression, and even for the discovery of important therapeutic targets. Aim to help researchers to get a quick learning and understand the function of these tools, the current review delves into the introduction of the usage, characteristics and algorithms of tools, and web servers, such as LOGpc, KM plotter, GEPIA, TCPA, OncoLnc, PrognoScan, MethSurv, SurvExpress, UALCAN, etc., and further help researchers to select more suitable tools for their own research. In addition, all the tools introduced in this review can be reached at http://bioinfo.henu.edu.cn/WebServiceList.html.

【 授权许可】

Unknown