Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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
_version_ 1783569018330808320
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
work_keys_str_mv AT xuquan oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT zhaijincheng oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT huocaiqin oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT liyang oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT dongxuejiao oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT lidongfang oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT huangrudan oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT shenchuang oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT changyujun oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT zengxiling oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT mengfanlin oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT yangfang oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT zhangwanling oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT zhangshengnan oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT zhouyiming oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel
AT zhangzhi oncopdssanevidencebasedclinicaldecisionsupportsystemforoncologypharmacotherapyattheindividuallevel