精密医学
医学
癌症医学
临床试验
癌症
个性化医疗
透视图(图形)
临床实习
肿瘤科
生物信息学
内科学
生物
家庭医学
病理
计算机科学
人工智能
作者
Annette T. Byrne,Denis Alférez,Frédéric Amant,Daniela Annibali,Joaquı́n Arribas,Andrew V. Biankin,Alejandra Bruna,Eva Budínská,Carlos Caldas,David K. Chang,Robert B. Clarke,Hans Clevers,George Coukos,Virginie Dangles‐Marie,S. Gail Eckhardt,Eva González‐Suárez,Els Hermans,Manuel Hidalgo,Monika A. Jarzabek,Steven de Jong
摘要
This Opinion article discusses progress and challenges in using patient-derived xenograft (PDX) models in cancer precision medicine. It is primarily co-authored by members of the EurOPDX Consortium and as such highlights the merits of shared PDX resources. Patient-derived xenografts (PDXs) have emerged as an important platform to elucidate new treatments and biomarkers in oncology. PDX models are used to address clinically relevant questions, including the contribution of tumour heterogeneity to therapeutic responsiveness, the patterns of cancer evolutionary dynamics during tumour progression and under drug pressure, and the mechanisms of resistance to treatment. The ability of PDX models to predict clinical outcomes is being improved through mouse humanization strategies and the implementation of co-clinical trials, within which patients and PDXs reciprocally inform therapeutic decisions. This Opinion article discusses aspects of PDX modelling that are relevant to these questions and highlights the merits of shared PDX resources to advance cancer medicine from the perspective of EurOPDX, an international initiative devoted to PDX-based research.
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