Suppr超能文献

全面的药物反应谱分析和泛组学分析确定了亚洲胆管癌的治疗候选药物和预后生物标志物。

Comprehensive drug response profiling and pan-omic analysis identified therapeutic candidates and prognostic biomarkers for Asian cholangiocarcinoma.

作者信息

Jamnongsong Supawan, Kueanjinda Patipark, Buraphat Pongsakorn, Sakornsakolpat Phuwanat, Vaeteewoottacharn Kulthida, Okada Seiji, Jirawatnotai Siwanon, Sampattavanich Somponnat

机构信息

Siriraj Center of Research Excellence for Systems Pharmacology, Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.

Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.

出版信息

iScience. 2022 Sep 23;25(10):105182. doi: 10.1016/j.isci.2022.105182. eCollection 2022 Oct 21.

Abstract

Cholangiocarcinoma (CCA) is rare cancer with the highest incidence in Eastern and Southeast Asian countries. Advanced CCA patients rely on chemotherapeutic regimens that offer unsatisfied clinical outcomes. We developed a comprehensive drug response profiling to investigate potential new drugs using CCA cell lines from Thai and Japanese patients against 100 approved anti-cancer drugs. We identified two major CCA subgroups that displayed unique molecular pathways from our integrative pan-omic and ligand-induced pathway activation analyses. MEK and Src inhibitors specifically killed the CCA1 subgroup without causing cytotoxicity to the normal cholangiocyte. Next, we developed the CCA45 signature to classify CCA patients based on their transcriptomic data. Our CCA45 signature could accurately predict prognosis, especially for Asian CCA patients. Our study provides a comprehensive public resource for drug repurposing in CCA and introduces analytical strategies for prioritizing cancer therapeutic agents for other rare cancer.

摘要

胆管癌(CCA)是一种罕见的癌症,在东亚和东南亚国家发病率最高。晚期CCA患者依赖的化疗方案临床效果不尽人意。我们开发了一种全面的药物反应谱,使用来自泰国和日本患者的CCA细胞系,针对100种已批准的抗癌药物,研究潜在的新药。通过整合泛组学和配体诱导的通路激活分析,我们确定了两个主要的CCA亚组,它们显示出独特的分子通路。MEK和Src抑制剂能特异性杀死CCA1亚组,而对正常胆管细胞无细胞毒性。接下来,我们开发了CCA45特征,根据转录组数据对CCA患者进行分类。我们的CCA45特征能够准确预测预后,尤其是对亚洲CCA患者。我们的研究为CCA的药物再利用提供了全面的公共资源,并介绍了为其他罕见癌症确定癌症治疗药物优先级的分析策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/259e/9563539/59d1523d17cc/fx1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验