| Field |
Value |
Language |
|
dc.contributor.author |
Zakarya, R
https://orcid.org/0000-0002-9259-9369
|
|
|
dc.contributor.author |
Howell, VM |
|
|
dc.contributor.author |
Colvin, EK |
|
|
dc.date.accessioned |
2024-01-16T02:11:49Z |
|
|
dc.date.available |
2020-07-05 |
|
|
dc.date.available |
2024-01-16T02:11:49Z |
|
|
dc.date.issued |
2020-07-07 |
|
|
dc.identifier.citation |
International Journal of Molecular Sciences, 2020, 21, (13), pp. E4806 |
|
|
dc.identifier.issn |
1422-0067 |
|
|
dc.identifier.issn |
1422-0067 |
|
|
dc.identifier.uri |
http://hdl.handle.net/10453/174546
|
|
|
dc.description.abstract |
<jats:p>High-grade serous epithelial ovarian cancer (HGSC) is the most aggressive subtype of epithelial ovarian cancer. The identification of germline and somatic mutations along with genomic information unveiled by The Cancer Genome Atlas (TCGA) and other studies has laid the foundation for establishing preclinical models with high fidelity to the molecular features of HGSC. Notwithstanding such progress, the field of HGSC research still lacks a model that is both robust and widely accessible. In this review, we discuss the recent advancements and utility of HGSC genetically engineered mouse models (GEMMs) to date. Further analysis and critique on alternative approaches to modelling HGSC considers technological advancements in somatic gene editing and modelling prototypic organs, capable of tumorigenesis, on a chip.</jats:p> |
|
|
dc.format |
Electronic |
|
|
dc.language |
eng |
|
|
dc.publisher |
MDPI AG |
|
|
dc.relation.ispartof |
International Journal of Molecular Sciences |
|
|
dc.relation.isbasedon |
10.3390/ijms21134806 |
|
|
dc.rights |
info:eu-repo/semantics/openAccess |
|
|
dc.subject |
0399 Other Chemical Sciences, 0604 Genetics, 0699 Other Biological Sciences |
|
|
dc.subject.classification |
Chemical Physics |
|
|
dc.subject.classification |
3101 Biochemistry and cell biology |
|
|
dc.subject.classification |
3107 Microbiology |
|
|
dc.subject.classification |
3404 Medicinal and biomolecular chemistry |
|
|
dc.subject.mesh |
Animals |
|
|
dc.subject.mesh |
Animals, Genetically Modified |
|
|
dc.subject.mesh |
Carcinogenesis |
|
|
dc.subject.mesh |
Carcinoma, Ovarian Epithelial |
|
|
dc.subject.mesh |
Disease Models, Animal |
|
|
dc.subject.mesh |
Female |
|
|
dc.subject.mesh |
Gene Editing |
|
|
dc.subject.mesh |
Humans |
|
|
dc.subject.mesh |
Mice |
|
|
dc.subject.mesh |
Ovarian Neoplasms |
|
|
dc.subject.mesh |
Animals |
|
|
dc.subject.mesh |
Animals, Genetically Modified |
|
|
dc.subject.mesh |
Humans |
|
|
dc.subject.mesh |
Mice |
|
|
dc.subject.mesh |
Ovarian Neoplasms |
|
|
dc.subject.mesh |
Disease Models, Animal |
|
|
dc.subject.mesh |
Female |
|
|
dc.subject.mesh |
Carcinogenesis |
|
|
dc.subject.mesh |
Gene Editing |
|
|
dc.subject.mesh |
Carcinoma, Ovarian Epithelial |
|
|
dc.subject.mesh |
Animals |
|
|
dc.subject.mesh |
Animals, Genetically Modified |
|
|
dc.subject.mesh |
Carcinogenesis |
|
|
dc.subject.mesh |
Carcinoma, Ovarian Epithelial |
|
|
dc.subject.mesh |
Disease Models, Animal |
|
|
dc.subject.mesh |
Female |
|
|
dc.subject.mesh |
Gene Editing |
|
|
dc.subject.mesh |
Humans |
|
|
dc.subject.mesh |
Mice |
|
|
dc.subject.mesh |
Ovarian Neoplasms |
|
|
dc.title |
Modelling Epithelial Ovarian Cancer in Mice: Classical and Emerging Approaches |
|
|
dc.type |
Journal Article |
|
|
utslib.citation.volume |
21 |
|
|
utslib.location.activity |
Switzerland |
|
|
utslib.for |
0399 Other Chemical Sciences |
|
|
utslib.for |
0604 Genetics |
|
|
utslib.for |
0699 Other Biological Sciences |
|
|
pubs.organisational-group |
/University of Technology Sydney |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Science |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Science/School of Life Sciences |
|
|
utslib.copyright.status |
open_access |
* |
|
dc.date.updated |
2024-01-16T02:10:58Z |
|
|
pubs.issue |
13 |
|
|
pubs.publication-status |
Published online |
|
|
pubs.volume |
21 |
|
|
utslib.citation.issue |
13 |
|
