Estrogen receptor positive breast cancer patient–derived xenograft models in translational research
| Autor: | Davendra Segara, Neil Portman, Kee Ming Chia, Allegra Freelander, Andrew Parker, Elgene Lim, Sanjeev Kumar |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
business.industry Endocrinology Diabetes and Metabolism Immune microenvironment Estrogen receptor 030209 endocrinology & metabolism Translational research Disease medicine.disease 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Breast cancer medicine Cancer research In patient Treatment resistance business Tumor xenograft |
| Zdroj: | Current Opinion in Endocrine and Metabolic Research. 15:31-36 |
| ISSN: | 2451-9650 |
| DOI: | 10.1016/j.coemr.2020.10.004 |
| Popis: | Estrogen receptor (ER) positive patient–derived xenograft (PDX) models of breast cancer are important translational tools in our pursuit for a better understanding of treatment resistance and for the preclinical evaluation of novel therapies. PDX modelling of ER+ breast cancer is traditionally associated with caveats such as low engraftment rates and absence of an immune microenvironment, leading to a paucity of ER+ models and an inability to assess immune-related effects. Furthermore, with the increased demand for modelling of therapy-resistant metastatic ER+ disease, our approach to propagating these models needs to evolve to ensure accurate recapitulation of the clinical features observed in patients with treatment-resistant breast cancer. In this review, we discuss recent major advancements in this field and the increasing utility of these models for high throughput screening of novel therapeutics. |
| Databáze: | OpenAIRE |
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