7月7日 Jinsong Liu: Tumor: Coming back to the very beginning of life


报告题目:Tumor: Coming back to the very beginning of life
报告人:Jinsong Liu, M.D., Ph.D., Professor of Department of Pathology, MD Anderson Cancer Center
主持人:刘明耀 教授
报告时间:2017年7月7日 14:00-15:30
报告地点:闵行生科院534报告厅
主办单位:生命科学学院,科技处
 
报告人简介:
Prof. Jinsong Liu has been an active member of MD Anderson’s world-renowned gynecologic diagnostic pathology team and contributed to multidisciplinary care of patients with gynecologic cancer since 1999. As an investigator, He has extensive experience in ovarian cancer research as demonstrated by >210 publications. His laboratory generated the first genetically defined model from transformed human ovarian epithelial cells, and they were among the first to define the key autocrine and paracrine mechanisms between epithelial cells and senescent stromal cells for ovarian cancer progression. More recently, his laboratory has made the surprising finding that polyploid giant cancer cells (PGCCs), generally believed to be non-dividing senescent cancer cells, can dedifferentiate into blastomere-like cancer stem cells, the earliest stage of embryonic development. The reprogramming is achieved via a novel cellular mechanism they termed the giant cell cycle. PGCCs represent the most archaic cancer stem cells reported to date. He was principal investigator (PI) of a NIH-funded R01 grant and is co-investigator of several other NIH grants related to ovarian cancer. He is also co-PI of the tissue pathology core for MD Anderson’s SPORE in ovarian cancer and PI of multi-investigator grants from the Cancer Prevention Research Institute of Texas. He also directs the core resource for patient-derived xenografts (PDXs) for ovarian cancer and have established a cohort of more than 30 ovarian cancer PDX models. The overall goal of this proposal is to understand the molecular mechanisms regulating the growth and division of PGCCs and identify combinations of novel therapeutic agents to block PGCC growth and division in synergy with paclitaxel in ovarian PDX models.