Govindarajan Meinusha, Wohlmuth Christoph, Waas Matthew, Bernardini Marcus Q, Kislinger Thomas
Department of Medical Biophysics, University of Toronto, Toronto, Canada.
Division of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
J Hematol Oncol. 2020 Oct 9;13(1):134. doi: 10.1186/s13045-020-00971-6.
High-grade serous carcinoma (HGSC) is the most prevalent and aggressive subtype of ovarian cancer. The large degree of clinical heterogeneity within HGSC has justified deviations from the traditional one-size-fits-all clinical management approach. However, the majority of HGSC patients still relapse with chemo-resistant cancer and eventually succumb to their disease, evidence that further work is needed to improve patient outcomes. Advancements in high-throughput technologies have enabled novel insights into biological complexity, offering a large potential for informing precision medicine efforts. Here, we review the current landscape of clinical management for HGSC and highlight applications of high-throughput biological approaches for molecular subtyping and the discovery of putative blood-based biomarkers and novel therapeutic targets. Additionally, we present recent improvements in model systems and discuss how their intersection with high-throughput platforms and technological advancements is positioned to accelerate the realization of precision medicine in HGSC.
高级别浆液性癌(HGSC)是卵巢癌中最常见且侵袭性最强的亚型。HGSC内部存在的高度临床异质性使得有理由偏离传统的一刀切临床管理方法。然而,大多数HGSC患者仍会复发化疗耐药性癌症并最终死于该疾病,这表明需要进一步开展工作以改善患者预后。高通量技术的进步使人们能够对生物复杂性有新的认识,为精准医学努力提供了巨大潜力。在此,我们综述了HGSC临床管理的当前状况,并强调高通量生物学方法在分子亚型分析以及发现假定的血液生物标志物和新型治疗靶点方面的应用。此外,我们介绍了模型系统的最新进展,并讨论它们与高通量平台和技术进步的交叉如何能够加速HGSC精准医学的实现。