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Review

In Vitro Models of Ovarian Cancer: Bridging the Gap between Pathophysiology and Mechanistic Models

1
PASTEUR, Département de Chimie, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, 75005 Paris, France
2
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
*
Author to whom correspondence should be addressed.
Biomolecules 2023, 13(1), 103; https://doi.org/10.3390/biom13010103
Submission received: 3 October 2022 / Revised: 23 December 2022 / Accepted: 25 December 2022 / Published: 4 January 2023

Abstract

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.
Keywords: ovarian cancer; epithelial-to-mesenchymal transition; ascites; biological engineering; mechanotransduction; extracellular matrix; shear stress; mechanotransduction; microfluidics; in vitro models ovarian cancer; epithelial-to-mesenchymal transition; ascites; biological engineering; mechanotransduction; extracellular matrix; shear stress; mechanotransduction; microfluidics; in vitro models

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MDPI and ACS Style

Lopez, E.; Kamboj, S.; Chen, C.; Wang, Z.; Kellouche, S.; Leroy-Dudal, J.; Carreiras, F.; Lambert, A.; Aimé, C. In Vitro Models of Ovarian Cancer: Bridging the Gap between Pathophysiology and Mechanistic Models. Biomolecules 2023, 13, 103. https://doi.org/10.3390/biom13010103

AMA Style

Lopez E, Kamboj S, Chen C, Wang Z, Kellouche S, Leroy-Dudal J, Carreiras F, Lambert A, Aimé C. In Vitro Models of Ovarian Cancer: Bridging the Gap between Pathophysiology and Mechanistic Models. Biomolecules. 2023; 13(1):103. https://doi.org/10.3390/biom13010103

Chicago/Turabian Style

Lopez, Elliot, Sahil Kamboj, Changchong Chen, Zixu Wang, Sabrina Kellouche, Johanne Leroy-Dudal, Franck Carreiras, Ambroise Lambert, and Carole Aimé. 2023. "In Vitro Models of Ovarian Cancer: Bridging the Gap between Pathophysiology and Mechanistic Models" Biomolecules 13, no. 1: 103. https://doi.org/10.3390/biom13010103

APA Style

Lopez, E., Kamboj, S., Chen, C., Wang, Z., Kellouche, S., Leroy-Dudal, J., Carreiras, F., Lambert, A., & Aimé, C. (2023). In Vitro Models of Ovarian Cancer: Bridging the Gap between Pathophysiology and Mechanistic Models. Biomolecules, 13(1), 103. https://doi.org/10.3390/biom13010103

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