PASTEUR, Département de Chimie, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, 75005 Paris, France.
Equipe de Recherche sur les Relations Matrice Extracellulaire-Cellules, ERRMECe, EA1391, Groupe Matrice Extracellulaire et Physiopathologie (MECuP), Institut des Matériaux, I-MAT (FD4122), CY Cergy Paris Université, CEDEX, 95031 Neuville sur Oise, France.
Biomolecules. 2023 Jan 4;13(1):103. doi: 10.3390/biom13010103.
Ovarian cancer (OC) is a disease of major concern with a survival rate of about 40% at five years. This is attributed to the lack of visible and reliable symptoms during the onset of the disease, which leads over 80% of patients to be diagnosed at advanced stages. This implies that metastatic activity has advanced to the peritoneal cavity. It is associated with both genetic and phenotypic heterogeneity, which considerably increase the risks of relapse and reduce the survival rate. To understand ovarian cancer pathophysiology and strengthen the ability for drug screening, further development of relevant in vitro models that recapitulate the complexity of OC microenvironment and dynamics of OC cell population is required. In this line, the recent advances of tridimensional (3D) cell culture and microfluidics have allowed the development of highly innovative models that could bridge the gap between pathophysiology and mechanistic models for clinical research. This review first describes the pathophysiology of OC before detailing the engineering strategies developed to recapitulate those main biological features.
卵巢癌 (OC) 是一种严重的疾病,其五年生存率约为 40%。这归因于疾病发病初期缺乏明显和可靠的症状,导致超过 80%的患者被诊断为晚期。这意味着转移活动已经进展到腹腔。它与遗传和表型异质性有关,这大大增加了复发的风险并降低了生存率。为了了解卵巢癌的病理生理学并加强药物筛选的能力,需要进一步开发能够再现 OC 微环境复杂性和 OC 细胞群体动态的相关体外模型。在这方面,最近的三维 (3D) 细胞培养和微流控技术的进展使得开发高度创新的模型成为可能,这些模型可以弥合病理生理学和用于临床研究的机制模型之间的差距。本文首先描述了 OC 的病理生理学,然后详细介绍了为再现这些主要生物学特征而开发的工程策略。