Gambera Stefano, Patiño-Garcia Ana, Alfranca Arantzazu, Garcia-Castro Javier
Cellular Biotechnology Unit, Instituto de Salud Carlos III, 28220 Madrid, Spain.
Department of Pediatrics, Laboratory of Advanced Therapies for Pediatric Solid Tumors, Solid Tumor Area, CIMA and Instituto de Investigación Sanitaria de Navarra, University Clinic of Navarra, IdiSNA, 31008 Pamplona, Spain.
Cancers (Basel). 2021 Apr 21;13(9):2003. doi: 10.3390/cancers13092003.
Osteosarcoma (OS) is a highly aggressive tumor characterized by malignant cells producing pathologic bone; the disease presents a natural tendency to metastasize. Genetic studies indicate that the OS genome is extremely complex, presenting signs of macro-evolution, and linear and branched patterns of clonal development. However, those studies were based on the phylogenetic reconstruction of next-generation sequencing (NGS) data, which present important limitations. Thus, testing clonal evolution in experimental models could be useful for validating this hypothesis. In the present study, lentiviral LeGO-vectors were employed to generate colorimetric red, green, blue (RGB)-marking in murine, canine, and human OS. With this strategy, we studied tumor heterogeneity and the clonal dynamics occurring in vivo in immunodeficient NOD.Cg-Prkdcscid-Il2rgtm1Wjl/SzJ (NSG) mice. Based on colorimetric label, tumor clonal composition was analyzed by confocal microscopy, flow cytometry, and different types of supervised and unsupervised clonal analyses. With this approach, we observed a consistent reduction in the clonal composition of RGB-marked tumors and identified evident clonal selection at the first passage in immunodeficient mice. Furthermore, we also demonstrated that OS could follow a neutral model of growth, where the disease is defined by the coexistence of different tumor sub-clones. Our study demonstrates the importance of rigorous testing of the selective forces in commonly used experimental models.
骨肉瘤(OS)是一种侵袭性很强的肿瘤,其特征是恶性细胞产生病理性骨;该疾病具有自然转移倾向。遗传学研究表明,骨肉瘤基因组极其复杂,呈现出宏观进化的迹象以及克隆发展的线性和分支模式。然而,这些研究是基于下一代测序(NGS)数据的系统发育重建,存在重要局限性。因此,在实验模型中测试克隆进化可能有助于验证这一假设。在本研究中,慢病毒LeGO载体被用于在小鼠、犬和人骨肉瘤中产生比色红、绿、蓝(RGB)标记。通过这种策略,我们研究了免疫缺陷的NOD.Cg-Prkdcscid-Il2rgtm1Wjl/SzJ(NSG)小鼠体内发生的肿瘤异质性和克隆动态。基于比色标记,通过共聚焦显微镜、流式细胞术以及不同类型的监督和非监督克隆分析来分析肿瘤克隆组成。通过这种方法,我们观察到RGB标记肿瘤的克隆组成持续减少,并在免疫缺陷小鼠的第一代中确定了明显的克隆选择。此外,我们还证明骨肉瘤可以遵循中性生长模型,即该疾病由不同肿瘤亚克隆的共存来定义。我们的研究证明了在常用实验模型中严格测试选择力的重要性。