OncoPDSS

OncoPDSS 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.OncoPDSS 整合了来自多个知名数据源的可操作循证证据，从抗癌药物说明书中提炼药物适应症，并从ClinicalTrials.gov数据库中提取癌症临床试验数据。该数据集采用以治疗为中心的分类策略，基于整合后的循证证据，从用户上传的多组学（multi-omics）变异数据中识别出潜在有效与无效的药物治疗方案。针对每一种潜在有效的治疗方案，数据集会列出带有研究机构信息的临床试验，助力患者及其医护人员找到最适配的治疗选择。