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Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors

机译:临床前模型中的结直肠癌分子解剖鉴定出可预测对EGFR抑制剂敏感性的生物标志物

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摘要

Colorectal carcinoma represents a heterogeneous entity, with only a fraction of the tumours responding to available therapies, requiring a better molecular understanding of the disease in precision oncology. To address this challenge, the OncoTrack consortium recruited 106 CRC patients (stages I-IV) and developed a pre-clinical platform generating a compendium of drug sensitivity data totalling 44,000 assays testing 16 clinical drugs on patient-derived in vivo and in vitro models. This large biobank of 106 tumours, 35 organoids and 59 xenografts, with extensive omics data comparing donor tumours and derived models provides a resource for advancing our understanding of CRC. Models recapitulate many of the genetic and transcriptomic features of the donors, but defined less complex molecular sub-groups because of the loss of human stroma. Linking molecular profiles with drug sensitivity patterns identifies novel biomarkers, including a signature outperforming RAS/RAF mutations in predicting sensitivity to the EGFR inhibitor cetuximab.
机译:大肠癌代表异质性实体,只有一小部分肿瘤对可用的疗法有反应,需要在精确肿瘤学上对这种疾病有更好的分子理解。为了应对这一挑战,OncoTrack联盟招募了106名CRC患者(I-IV期),并开发了一个临床前平台,该平台生成了药物敏感性数据汇总表,共进行了44,000种测定法,在源自患者的体内和体外模型中测试了16种临床药物。这个拥有106个肿瘤,35个类器官和59个异种移植物的大型生物库,具有广泛的组学数据,比较了供体肿瘤和衍生模型,为增进我们对CRC的理解提供了资源。模型概述了供体的许多遗传和转录组特征,但由于人类基质的缺失,定义了较不复杂的分子亚组。将分子概况与药物敏感性模式相关联可鉴定出新颖的生物标记,包括在预测对EGFR抑制剂西妥昔单抗敏感性方面表现优于RAS / RAF突变的标记。

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