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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9035726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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