Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Fairy Meadow, NSW, 2519, Australia.
Arto Hardy Family Biomedical Innovation Hub, Chris O'Brien Lifehouse, Camperdown, NSW, 2050, Australia.
Cancer Metastasis Rev. 2023 Jun;42(2):507-541. doi: 10.1007/s10555-023-10100-7. Epub 2023 Apr 1.
Diffuse high-grade gliomas contain some of the most dangerous human cancers that lack curative treatment options. The recent molecular stratification of gliomas by the World Health Organisation in 2021 is expected to improve outcomes for patients in neuro-oncology through the development of treatments targeted to specific tumour types. Despite this promise, research is hindered by the lack of preclinical modelling platforms capable of recapitulating the heterogeneity and cellular phenotypes of tumours residing in their native human brain microenvironment. The microenvironment provides cues to subsets of glioma cells that influence proliferation, survival, and gene expression, thus altering susceptibility to therapeutic intervention. As such, conventional in vitro cellular models poorly reflect the varied responses to chemotherapy and radiotherapy seen in these diverse cellular states that differ in transcriptional profile and differentiation status. In an effort to improve the relevance of traditional modelling platforms, recent attention has focused on human pluripotent stem cell-based and tissue engineering techniques, such as three-dimensional (3D) bioprinting and microfluidic devices. The proper application of these exciting new technologies with consideration of tumour heterogeneity and microenvironmental interactions holds potential to develop more applicable models and clinically relevant therapies. In doing so, we will have a better chance of translating preclinical research findings to patient populations, thereby addressing the current derisory oncology clinical trial success rate.
弥漫性高级别神经胶质瘤包含一些最危险的人类癌症,这些癌症缺乏有效的治疗方法。世界卫生组织 (WHO) 于 2021 年对神经胶质瘤进行的最新分子分层有望通过开发针对特定肿瘤类型的治疗方法来改善神经肿瘤学患者的预后。尽管有这样的承诺,但由于缺乏能够重现存在于其天然人类大脑微环境中的肿瘤异质性和细胞表型的临床前建模平台,研究受到了阻碍。微环境为胶质瘤细胞的亚群提供了线索,这些线索影响增殖、存活和基因表达,从而改变对治疗干预的敏感性。因此,传统的体外细胞模型很难反映出这些不同的细胞状态对化疗和放疗的不同反应,这些细胞状态在转录谱和分化状态上存在差异。为了提高传统建模平台的相关性,最近的注意力集中在基于人类多能干细胞和组织工程技术上,如三维 (3D) 生物打印和微流控设备。在考虑肿瘤异质性和微环境相互作用的情况下,正确应用这些令人兴奋的新技术有可能开发出更适用的模型和更具临床意义的疗法。通过这样做,我们将有更好的机会将临床前研究结果转化为患者群体,从而解决当前肿瘤学临床试验成功率不佳的问题。