Shahzad Uswa, Taccone Michael S, Kumar Sachin A, Okura Hidehiro, Krumholtz Stacey, Ishida Joji, Mine Coco, Gouveia Kyle, Edgar Julia, Smith Christian, Hayes Madeline, Huang Xi, Derry W Brent, Taylor Michael D, Rutka James T
Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Canada.
Arthur and Sonia Labatt Brain Tumor Research Center, Hospital for Sick Children, Toronto, Canada.
Neuro Oncol. 2021 May 5;23(5):718-731. doi: 10.1093/neuonc/noaa306.
For decades, cell biologists and cancer researchers have taken advantage of non-murine species to increase our understanding of the molecular processes that drive normal cell and tissue development, and when perturbed, cause cancer. The advent of whole-genome sequencing has revealed the high genetic homology of these organisms to humans. Seminal studies in non-murine organisms such as Drosophila melanogaster, Caenorhabditis elegans, and Danio rerio identified many of the signaling pathways involved in cancer. Studies in these organisms offer distinct advantages over mammalian cell or murine systems. Compared to murine models, these three species have shorter lifespans, are less resource intense, and are amenable to high-throughput drug and RNA interference screening to test a myriad of promising drugs against novel targets. In this review, we introduce species-specific breeding strategies, highlight the advantages of modeling brain tumors in each non-mammalian species, and underscore the successes attributed to scientific investigation using these models. We conclude with an optimistic proposal that discoveries in the fields of cancer research, and in particular neuro-oncology, may be expedited using these powerful screening tools and strategies.
几十年来,细胞生物学家和癌症研究人员利用非鼠类物种来增进我们对驱动正常细胞和组织发育的分子过程的理解,以及当这些过程受到干扰时引发癌症的理解。全基因组测序的出现揭示了这些生物体与人类的高度基因同源性。在果蝇、秀丽隐杆线虫和斑马鱼等非鼠类生物体中的开创性研究确定了许多与癌症相关的信号通路。在这些生物体中的研究比哺乳动物细胞或鼠类系统具有明显优势。与鼠类模型相比,这三个物种寿命较短,资源需求较少,并且适合进行高通量药物和RNA干扰筛选,以测试针对新靶点的大量有前景的药物。在这篇综述中,我们介绍了物种特异性育种策略,强调了在每种非哺乳动物物种中建立脑肿瘤模型的优势,并强调了使用这些模型进行科学研究所取得的成功。我们以一个乐观的提议作为结论,即利用这些强大的筛选工具和策略可能会加速癌症研究领域,特别是神经肿瘤学领域的发现。