Department of Biomedical Sciences, SNU

Faculty

Faculty

Research

Research Field
Outcomes of anticancer therapy vary dramatically among patients, and this may be caused by the specific molecular alterations in each patient’s tumor. Precision oncology aims to predict optimal therapies for each tumor based on its particular molecular characteristics. Surrogate systems to characterize and measure patient-specific responses include patient-derived xenografts (PDXs) and tumor-derived cells (PDCs). PDC-and/or patient-deried orgaonid (PDO) based screening systems allow high-throughput generation of reliable drug-response parameters. PDCs provide a rapid and efficient way to probe the unique biology and drug response of individual patients’ tumors. We aim to investigate the clinical relevance of PDCs/PDOs based drug screening and comprehensive analysis with cancer genomic profiles to suggest the best target therapy for an individual cancer patient.
Pure Link
Keyword
Patient-derived Organoid, 3D drug screening, Precision Oncology, Translational Medicine

Education

  • 2009-2013, PhD, Seoul National University College of Medicine, Seoul, South Korea (Biomedical Science)
  • 2007-2009, MS, Seoul National University College of Medicine, Seoul, South Korea (Pharmacology)
  • 1997-2003, MD, Seoul National University College of Medicine, Seoul, South Korea (Medicine)

Career

  • 2021- Editorial board member, Experimental and Molecular Medicine
  • 2020- Associate Professor, Department of Biomedical Science, Anatomy and Cell Biology, Seoul National University College of Medicine, Seoul, Korea
  • 2018-2020 Assistant Professor, Department of Biochemistry, Ajou University School of Medicine, Suwon, Korea
  • 2013-2018 Senior Scientist, Samsung Medical Center, Seoul, Korea
  • 2003-2006 Public Health Doctor, Tangjeong health care center, Asan, Korea

Publication

  1. Sa JK*, Hwang JR*, Cho TY*,,,,,, Lee JK#, Nam DH#, Lee JW#, Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers. Genome Biol., 2019, 20, Article number: 253 Epub 26 Nov 2019. (Co-corresponding author)
  2. Han S*, Shin H*, Lee JK*, Liu Z, Rabadan R, Lee J, Shin J, Lee C, Yang H, Kim D, Kim SH, Kim J, Oh JW, Kong DS, Lee JI, Seol, HJ, Choi JW, Kang HJ, Nam DH. Secretome analysis of patient-derived GBM sphere identifies Midkine as a potent therapeutic target, Exp. Mol. Med., 2019,51:147. (Co-first author)
  3. Lee JK*, Liu. Z*, Sa JK*, Shin S*, Wang J*, et al. Pharmacogenomic landscape of patient-derived tumor cells informs precision oncology therapy. Nat. Genet., 2018 Oct;50(10):1399-1411 (First author)
  4. Lee JK*, Wang J*, Sa JK*, Ladewig E*, Lee HO, Lee IH, et al. Spatiotemporal genomic architecture informs precision oncology in glioblastoma. Nat Genet. 2017;49:594-9. (First author)
  5. Lee JK*, Chang N*, Yoon Y*, Yang H, Cho H, Kim E, et al. USP1 targeting impedes GBM growth by inhibiting stem cell maintenance and radioresistance. Neuro Oncol., 2016;18(1):37-47. (First author)