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Conference Paper: Identification of cisplatin-resistance related genes in Ovarian clear cell carcinoma using 3D cell culture model
Title | Identification of cisplatin-resistance related genes in Ovarian clear cell carcinoma using 3D cell culture model |
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Authors | |
Issue Date | 2014 |
Citation | The 19th Research Postgraduate Symposium (RPS 2014), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, 10-11 December 2014. How to Cite? |
Abstract | Ovarian clear cell carcinoma (OCCC) is well known for its higher prevalence in Asian women and poorer prognosis as compared with other histotypes of epithelial ovarian cancer (EOC) due to resistance to platinum based chemotherapy. However, the underlying mechanism has not been fully understood yet. Three-dimensional (3D) cell culture model with extracellular matrix components mimicking the in vivo microenvironment provides more accurate drug responses than two-dimensional (2D) monolayer cell culture. Therefore, we employed (the name of 3D system? ) to test the cisplatin-resistance in a panel of OCCC cell lines and advanced serous ovarian cancer cell lines. Our preliminary data using TUNEL and western blot analyses indicated that 3D spheroids of OCCC cell lines such as OVTOKO and TOV-21G exhibited higher cisplatin-resistance than culturing in traditional 2D system.(Any difference between OCCC and advanced serous cells??) This finding suggests that ovarian cancer cell spheroids formed in 3D cell culture increases chemoresistance and this system supports the concept of cell adhesion mediated drug resistance. To further delineate the cell signalings associated with this drug resistance, the gene profiling analysis using Human Genome U133 Array will be adopted. |
Persistent Identifier | http://hdl.handle.net/10722/217900 |
DC Field | Value | Language |
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dc.contributor.author | Liu, J | - |
dc.contributor.author | Ngan, HYS | - |
dc.contributor.author | Chan, DW | - |
dc.date.accessioned | 2015-09-18T06:17:00Z | - |
dc.date.available | 2015-09-18T06:17:00Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | The 19th Research Postgraduate Symposium (RPS 2014), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, 10-11 December 2014. | - |
dc.identifier.uri | http://hdl.handle.net/10722/217900 | - |
dc.description.abstract | Ovarian clear cell carcinoma (OCCC) is well known for its higher prevalence in Asian women and poorer prognosis as compared with other histotypes of epithelial ovarian cancer (EOC) due to resistance to platinum based chemotherapy. However, the underlying mechanism has not been fully understood yet. Three-dimensional (3D) cell culture model with extracellular matrix components mimicking the in vivo microenvironment provides more accurate drug responses than two-dimensional (2D) monolayer cell culture. Therefore, we employed (the name of 3D system? ) to test the cisplatin-resistance in a panel of OCCC cell lines and advanced serous ovarian cancer cell lines. Our preliminary data using TUNEL and western blot analyses indicated that 3D spheroids of OCCC cell lines such as OVTOKO and TOV-21G exhibited higher cisplatin-resistance than culturing in traditional 2D system.(Any difference between OCCC and advanced serous cells??) This finding suggests that ovarian cancer cell spheroids formed in 3D cell culture increases chemoresistance and this system supports the concept of cell adhesion mediated drug resistance. To further delineate the cell signalings associated with this drug resistance, the gene profiling analysis using Human Genome U133 Array will be adopted. | - |
dc.language | eng | - |
dc.relation.ispartof | Research Postgraduate Symposium, RPS 2014 | - |
dc.title | Identification of cisplatin-resistance related genes in Ovarian clear cell carcinoma using 3D cell culture model | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Ngan, HYS: hysngan@hkucc.hku.hk | - |
dc.identifier.email | Chan, DW: dwchan@hku.hk | - |
dc.identifier.authority | Ngan, HYS=rp00346 | - |
dc.identifier.authority | Chan, DW=rp00543 | - |
dc.identifier.hkuros | 251392 | - |