Sik Yoon

Sik Yoon, Ph.D.
Professor, Department of Anatomy
Pusan National University School of Medicine
sikyoon@pusan.ac.kr

Biography:
Dr. Yoon is a professor at the Department of Anatomy, Pusan National University School of Medicine, Korea. He is currently the Director of Immune Reconstitution Center of the Pusan National University Medical Research Institute. He is also serving as the Secretary-General of Korean Association of Anatomists since 2017. He completed his doctorate in Medical Anatomy with the role of thymic epithelial cells in thymus regneration at the Pusan National University, Korea in 1993. He studied imune cell biology in Washington University School of Medicine, USA as a Visiting Scientist. His current research interests include Nano-engineering of cells for biomedical applications, Development and application of 3D cell culture technology for drug discovery and diagnostic tools, Synthetic biology for T cell regeneration, and Development of therapeutic strategies to combat antitumor drug resistance and to modulate immune function.

Topic title:Biomimetic 3D Cell Culture Model of Ovarian Cancer Malignancy and Progression
Abstract:Current in vitro drug testing models based on 2D cell culture lack natural tissue-like structural organization and result in disappointing clinical outcomes. The development of efficient drug testing models using 3D cell culture that more accurately reflects in vivo behaviors is vital. Our aim was to establish an efficient in vitro 3D ovarian cancer model that can imitate the in vivo human ovarian cancer microenvironment. Using this model, we explored strategies to evaluate ovarian cancer malignancy and progression. Cancer cells grown in this model exhibited excellent biomimetic properties compared to conventional 2D culture including (1) enhanced chemotherapy resistance, (2) suppressed rate of apoptosis, (3) upregulated expression of drug resistance genes, (4) elevated levels of tumor aggressiveness factors, and (5) enrichment of a cancer stem cells. Therefore, our data suggest that our 3D ovarian cancer model is a promising in vitro research platform for studying human ovarian cancer biology and therapeutic approaches.

 
Key Dates
Key Dates
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Deadline for Submission of Abstract:

October 31, 2019

Notification of abstract acceptance:
November 15, 2019




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