Investigator
Project Scientist · Cedars-Sinai Medical Center, Computational Biomedicine
Ovarian tumor cells gain competitive advantage by actively reducing the cellular fitness of microenvironment cells
Cell competition and fitness comparison between cancer and tumor microenvironment (TME) cells determine oncogenic fate. Our previous study established a role for human Flower isoforms as fitness fingerprints, where the expression of Flower Win isoforms in tumor cells leads to growth advantage over TME cells expressing Lose isoforms. Here we demonstrate that the expression of Flower Lose and reduced microenvironment fitness is not a pre-existing condition but, rather, a cancer-induced phenomenon. Cancer cells actively reduce TME fitness by the exosome-mediated release of a cancer-specific long non-coding RNA, Tu-Stroma, which controls the splicing of the Flower gene in the TME cells and expression of Flower Lose isoform, which leads to reduced fitness status. This mechanism controls cancer growth, metastasis and host survival in ovarian cancer. Targeting Flower protein with humanized monoclonal antibody (mAb) in mice significantly reduces cancer growth and metastasis and improves survival. Pre-treatment with Flower mAb protects intraperitoneal organs from developing lesions despite the presence of aggressive tumor cells.
Project Scientist
Cedars-Sinai Medical Center · Computational Biomedicine
Postdoctoral Scientist
Postdoctoral Researcher
University of Copenhagen · Biotech Research & Innovation Center (BRIC)
National Autonomous University of Mexico · Center for Complexity Sciences (C3)
Doctor of Philosophy in Systems Science
Binghamton University · Systems Science and Industrial Engineering
Master of Science in Bio and Brain Engineering
Korea Advanced Institute of Science and Technology · Bio and Brain Engineering
Bachelor of Science in Mechanical Engineering
Pusan National University · Mechanical Engineering