| Autor: |
Tianyu Qin, Junpeng Fan, Funian Lu, Li Zhang, Chen Liu, Qiyue Xiong, Yang Zhao, Gang Chen, Chaoyang Sun |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of Experimental & Clinical Cancer Research, Vol 41, Iss 1, Pp 1-27 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1756-9966 |
| DOI: |
10.1186/s13046-022-02486-z |
| Popis: |
Abstract Ovarian cancer (OC) is a heterogeneous malignancy with various etiology, histopathology, and biological feature. Despite accumulating understanding of OC in the post-genomic era, the preclinical knowledge still undergoes limited translation from bench to beside, and the prognosis of ovarian cancer has remained dismal over the past 30 years. Henceforth, reliable preclinical model systems are warranted to bridge the gap between laboratory experiments and clinical practice. In this review, we discuss the status quo of ovarian cancer preclinical models which includes conventional cell line models, patient-derived xenografts (PDXs), patient-derived organoids (PDOs), patient-derived explants (PDEs), and genetically engineered mouse models (GEMMs). Each model has its own strengths and drawbacks. We focus on the potentials and challenges of using these valuable tools, either alone or in combination, to interrogate critical issues with OC. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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