4.7 Review

Preclinical models of epithelial ovarian cancer: practical considerations and challenges for a meaningful application

Journal

CELLULAR AND MOLECULAR LIFE SCIENCES
Volume 79, Issue 7, Pages -

Publisher

SPRINGER BASEL AG
DOI: 10.1007/s00018-022-04395-y

Keywords

Primary EOC cells; Organoids; Patient-derived EOC explants; Patient-derived EOC xenografts; Humanized mouse models; GEMMs

Funding

  1. Universita Cattolica del Sacro Cuore within the CRUI-CARE Agreement

Ask authors/readers for more resources

This review discusses various experimental models in ovarian cancer research, including cell line cultures, organoids, animal models, and tumor-on-a-chip platforms. Evaluating the strengths and weaknesses of each model will contribute to optimizing their translational value.
Despite many improvements in ovarian cancer diagnosis and treatment, until now, conventional chemotherapy and new biological drugs have not been shown to cure the disease, and the overall prognosis remains poor. Over 90% of ovarian malignancies are categorized as epithelial ovarian cancers (EOC), a collection of different types of neoplasms with distinctive disease biology, response to chemotherapy, and outcome. Advances in our understanding of the histopathology and molecular features of EOC subtypes, as well as the cellular origins of these cancers, have given a boost to the development of clinically relevant experimental models. The overall goal of this review is to provide a comprehensive description of the available preclinical investigational approaches aimed at better characterizing disease development and progression and at identifying new therapeutic strategies. Systems discussed comprise monolayer (2D) and three-dimensional (3D) cultures of established and primary cancer cell lines, organoids and patient-derived explants, animal models, including carcinogen-induced, syngeneic, genetically engineered mouse, xenografts, patient-derived xenografts (PDX), humanized PDX, and the zebrafish and the laying hen models. Recent advances in tumour-on-a-chip platforms are also detailed. The critical analysis of strengths and weaknesses of each experimental model will aid in identifying opportunities to optimize their translational value.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available