当前位置: X-MOL 学术Stem. Cell Rep. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Developing Organoids from Ovarian Cancer as Experimental and Preclinical Models.
Stem Cell Reports ( IF 5.9 ) Pub Date : 2020-04-02 , DOI: 10.1016/j.stemcr.2020.03.004
Nina Maenhoudt 1 , Charlotte Defraye 1 , Matteo Boretto 1 , Ziga Jan 2 , Ruben Heremans 3 , Bram Boeckx 4 , Florian Hermans 5 , Ingrid Arijs 4 , Benoit Cox 1 , Els Van Nieuwenhuysen 6 , Ignace Vergote 6 , Anne-Sophie Van Rompuy 7 , Diether Lambrechts 4 , Dirk Timmerman 6 , Hugo Vankelecom 1
Affiliation  

Ovarian cancer (OC) represents the most dismal gynecological cancer. Pathobiology is poorly understood, mainly due to lack of appropriate study models. Organoids, defined as self-developing three-dimensional in vitro reconstructions of tissues, provide powerful tools to model human diseases. Here, we established organoid cultures from patient-derived OC, in particular from the most prevalent high-grade serous OC (HGSOC). Testing multiple culture medium components identified neuregulin-1 (NRG1) as key factor in maximizing OC organoid development and growth, although overall derivation efficiency remained moderate (36% for HGSOC patients, 44% for all patients together). Established organoid lines showed patient tumor-dependent morphology and disease characteristics, and recapitulated the parent tumor's marker expression and mutational landscape. Moreover, the organoids displayed tumor-specific sensitivity to clinical HGSOC chemotherapeutic drugs. Patient-derived OC organoids provide powerful tools for the study of the cancer's pathobiology (such as importance of the NRG1/ERBB pathway) as well as advanced preclinical tools for (personalized) drug screening and discovery.



中文翻译:

从卵巢癌发展类器官作为实验和临床前模型。

卵巢癌(OC)代表最严重的妇科癌症。病理生物学了解甚少,主要是由于缺乏合适的研究模型。类器官,定义为体外自我发展的三维组织的重建,为模拟人类疾病提供了强大的工具。在这里,我们从患者来源的OC,特别是从最普遍的高级浆液性OC(HGSOC)建立类器官培养物。测试多种培养基成分将神经调节蛋白1(NRG1)视为最大程度地促进OC类器官发育和生长的关键因素,尽管总体推导效率仍然中等(HGSOC患者为36%,所有患者加在一起为44%)。建立的类器官线显示了患者肿瘤依赖性的形态和疾病特征,并概括了亲本肿瘤的标志物表达和突变态势。此外,类器官对临床HGSOC化疗药物表现出肿瘤特异性敏感性。源自患者的OC类器官为癌症的研究提供了强大的工具

更新日期:2020-04-02
down
wechat
bug