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ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection

Authors :
Jian Ouyang
Guangrong Qin
Zhenhao Liu
Xingxing Jian
Tieliu Shi
Lu Xie
Source :
iScience, Vol 25, Iss 5, Pp 104190- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Summary: Patients with cancer with different molecular characterization and subtypes result in different response to anticancer therapeutics and survival. To identify features that are associated with prognosis is essential to precision medicine by providing clues for target identification, drug discovery. Here, we developed a tumor online prognostic analysis platform (ToPP) which integrated eight multi-omics features and clinical data from 68 cancer projects. It provides multiple approaches for customized prognostic studies, including 1) Prognostic analysis based on multi-omics features and clinical characteristics; 2) Automatic construction of prognostic model; 3) Pancancer prognostic analysis in multi-omics data; 4) Explore the impact of different levels of feature combinations on patient prognosis; 5) More sophisticated prognostic analysis according to regulatory network. ToPP provides a comprehensive source and easy-to-use interface for tumor prognosis research, with one-stop service of multi-omics, subtyping, and online prognostic modeling. The web server is freely available at http://www.biostatistics.online/topp/index.php.

Details

Language :
English
ISSN :
25890042
Volume :
25
Issue :
5
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.8e8aa15f5c9e42e6a7a6541049a4ae88
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2022.104190