Velletri Tania, Villa Carlo Emanuele, Cilli Domenica, Barzaghi Bianca, Lo Riso Pietro, Lupia Michela, Luongo Raffaele, López-Tobón Alejandro, De Simone Marco, Bonnal Raoul J P, Marelli Luca, Piccolo Stefano, Colombo Nicoletta, Pagani Massimiliano, Cavallaro Ugo, Minucci Saverio, Testa Giuseppe
Department of Experimental Oncology, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy.
Cogentech Società Benefit Srl, Parco Scientifico e Tecnologico della, Sicilia, 95121, Catania, Italy.
Cell Death Differ. 2022 Mar;29(3):614-626. doi: 10.1038/s41418-021-00878-w. Epub 2021 Nov 29.
High Grade Serous Ovarian cancer (HGSOC) is a major unmet need in oncology, due to its precocious dissemination and the lack of meaningful human models for the investigation of disease pathogenesis in a patient-specific manner. To overcome this roadblock, we present a new method to isolate and grow single cells directly from patients' metastatic ascites, establishing the conditions for propagating them as 3D cultures that we refer to as single cell-derived metastatic ovarian cancer spheroids (sMOCS). By single cell RNA sequencing (scRNAseq) we define the cellular composition of metastatic ascites and trace its propagation in 2D and 3D culture paradigms, finding that sMOCS retain and amplify key subpopulations from the original patients' samples and recapitulate features of the original metastasis that do not emerge from classical 2D culture, including retention of individual patients' specificities. By enabling the enrichment of uniquely informative cell subpopulations from HGSOC metastasis and the clonal interrogation of their diversity at the functional and molecular level, this method provides a powerful instrument for precision oncology in ovarian cancer.
高级别浆液性卵巢癌(HGSOC)是肿瘤学中一个尚未得到满足的主要需求,这是由于其早期扩散以及缺乏以患者特异性方式研究疾病发病机制的有意义的人体模型。为了克服这一障碍,我们提出了一种新方法,可直接从患者的转移性腹水中分离并培养单细胞,建立将其作为三维培养物进行增殖的条件,我们将这种三维培养物称为单细胞衍生的转移性卵巢癌球体(sMOCS)。通过单细胞RNA测序(scRNAseq),我们确定了转移性腹水的细胞组成,并追踪其在二维和三维培养模式中的增殖情况,发现sMOCS保留并扩增了原始患者样本中的关键亚群,并重现了原始转移灶中在经典二维培养中未出现的特征,包括保留个体患者的特异性。通过从HGSOC转移灶中富集独特的信息丰富的细胞亚群,并在功能和分子水平上对其多样性进行克隆性研究,该方法为卵巢癌的精准肿瘤学提供了一种强大的工具。