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

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. H...

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Detalles Bibliográficos
Autores principales: Ouyang, Jian, Qin, Guangrong, Liu, Zhenhao, Jian, Xingxing, Shi, Tieliu, Xie, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035726/
https://www.ncbi.nlm.nih.gov/pubmed/35479398
http://dx.doi.org/10.1016/j.isci.2022.104190
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author Ouyang, Jian
Qin, Guangrong
Liu, Zhenhao
Jian, Xingxing
Shi, Tieliu
Xie, Lu
author_facet Ouyang, Jian
Qin, Guangrong
Liu, Zhenhao
Jian, Xingxing
Shi, Tieliu
Xie, Lu
author_sort Ouyang, Jian
collection PubMed
description 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.
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spelling pubmed-90357262022-04-26 ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection Ouyang, Jian Qin, Guangrong Liu, Zhenhao Jian, Xingxing Shi, Tieliu Xie, Lu iScience Article 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. Elsevier 2022-04-04 /pmc/articles/PMC9035726/ /pubmed/35479398 http://dx.doi.org/10.1016/j.isci.2022.104190 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ouyang, Jian
Qin, Guangrong
Liu, Zhenhao
Jian, Xingxing
Shi, Tieliu
Xie, Lu
ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection
title ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection
title_full ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection
title_fullStr ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection
title_full_unstemmed ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection
title_short ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection
title_sort topp: tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035726/
https://www.ncbi.nlm.nih.gov/pubmed/35479398
http://dx.doi.org/10.1016/j.isci.2022.104190
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