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OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level
BACKGROUND: Precision oncology pharmacotherapy relies on precise patient-specific alterations that impact drug responses. Due to rapid advances in clinical tumor sequencing, an urgent need exists for a clinical support tool that automatically interprets sequencing results based on a structured knowl...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414679/ https://www.ncbi.nlm.nih.gov/pubmed/32770988 http://dx.doi.org/10.1186/s12885-020-07221-5 |
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author | Xu, Quan Zhai, Jin-Cheng Huo, Cai-Qin Li, Yang Dong, Xue-Jiao Li, Dong-Fang Huang, Ru-Dan Shen, Chuang Chang, Yu-Jun Zeng, Xi-Ling Meng, Fan-Lin Yang, Fang Zhang, Wan-Ling Zhang, Sheng-Nan Zhou, Yi-Ming Zhang, Zhi |
author_facet | Xu, Quan Zhai, Jin-Cheng Huo, Cai-Qin Li, Yang Dong, Xue-Jiao Li, Dong-Fang Huang, Ru-Dan Shen, Chuang Chang, Yu-Jun Zeng, Xi-Ling Meng, Fan-Lin Yang, Fang Zhang, Wan-Ling Zhang, Sheng-Nan Zhou, Yi-Ming Zhang, Zhi |
author_sort | Xu, Quan |
collection | PubMed |
description | BACKGROUND: Precision oncology pharmacotherapy relies on precise patient-specific alterations that impact drug responses. Due to rapid advances in clinical tumor sequencing, an urgent need exists for a clinical support tool that automatically interprets sequencing results based on a structured knowledge base of alteration events associated with clinical implications. RESULTS: Here, we introduced the Oncology Pharmacotherapy Decision Support System (OncoPDSS), a web server that systematically annotates the effects of alterations on drug responses. The platform integrates actionable evidence from several well-known resources, distills drug indications from anti-cancer drug labels, and extracts cancer clinical trial data from the ClinicalTrials.gov database. A therapy-centric classification strategy was used to identify potentially effective and non-effective pharmacotherapies from user-uploaded alterations of multi-omics based on integrative evidence. For each potentially effective therapy, clinical trials with faculty information were listed to help patients and their health care providers find the most suitable one. CONCLUSIONS: OncoPDSS can serve as both an integrative knowledge base on cancer precision medicine, as well as a clinical decision support system for cancer researchers and clinical oncologists. It receives multi-omics alterations as input and interprets them into pharmacotherapy-centered information, thus helping clinicians to make clinical pharmacotherapy decisions. The OncoPDSS web server is freely accessible at https://oncopdss.capitalbiobigdata.com. |
format | Online Article Text |
id | pubmed-7414679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74146792020-08-10 OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level Xu, Quan Zhai, Jin-Cheng Huo, Cai-Qin Li, Yang Dong, Xue-Jiao Li, Dong-Fang Huang, Ru-Dan Shen, Chuang Chang, Yu-Jun Zeng, Xi-Ling Meng, Fan-Lin Yang, Fang Zhang, Wan-Ling Zhang, Sheng-Nan Zhou, Yi-Ming Zhang, Zhi BMC Cancer Software BACKGROUND: Precision oncology pharmacotherapy relies on precise patient-specific alterations that impact drug responses. Due to rapid advances in clinical tumor sequencing, an urgent need exists for a clinical support tool that automatically interprets sequencing results based on a structured knowledge base of alteration events associated with clinical implications. RESULTS: Here, we introduced the Oncology Pharmacotherapy Decision Support System (OncoPDSS), a web server that systematically annotates the effects of alterations on drug responses. The platform integrates actionable evidence from several well-known resources, distills drug indications from anti-cancer drug labels, and extracts cancer clinical trial data from the ClinicalTrials.gov database. A therapy-centric classification strategy was used to identify potentially effective and non-effective pharmacotherapies from user-uploaded alterations of multi-omics based on integrative evidence. For each potentially effective therapy, clinical trials with faculty information were listed to help patients and their health care providers find the most suitable one. CONCLUSIONS: OncoPDSS can serve as both an integrative knowledge base on cancer precision medicine, as well as a clinical decision support system for cancer researchers and clinical oncologists. It receives multi-omics alterations as input and interprets them into pharmacotherapy-centered information, thus helping clinicians to make clinical pharmacotherapy decisions. The OncoPDSS web server is freely accessible at https://oncopdss.capitalbiobigdata.com. BioMed Central 2020-08-08 /pmc/articles/PMC7414679/ /pubmed/32770988 http://dx.doi.org/10.1186/s12885-020-07221-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Xu, Quan Zhai, Jin-Cheng Huo, Cai-Qin Li, Yang Dong, Xue-Jiao Li, Dong-Fang Huang, Ru-Dan Shen, Chuang Chang, Yu-Jun Zeng, Xi-Ling Meng, Fan-Lin Yang, Fang Zhang, Wan-Ling Zhang, Sheng-Nan Zhou, Yi-Ming Zhang, Zhi OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level |
title | OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level |
title_full | OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level |
title_fullStr | OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level |
title_full_unstemmed | OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level |
title_short | OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level |
title_sort | oncopdss: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414679/ https://www.ncbi.nlm.nih.gov/pubmed/32770988 http://dx.doi.org/10.1186/s12885-020-07221-5 |
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