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Title: Companion diagnostic approach in gastric cancer by using systems biology

Abstract

The translation from massive expression data to biologically significant information still remains to be a barrier. We have developed a novel algorithm, PATHOME (pathway and transcriptome), for identifying statistically significant biological pathways underlined in disease pathogenesis. This algorithm utilized statistical tests to evaluate the significance of regulations between the neighboring entries along subpathways. We applied it to gene expression data sets of gastric cancer (GC), and compared the PATHOME performance with those of other leading programs that used gene set analysis. Based on a literature-driven cancer pathway reference set, PATHOME result showed greater agreement with the cancer pathway reference set. For the WNT pathway subset uniquely detected by PATHOME, we demonstrated the pathway as a GC relating signal through both in vitro and in vivo experiments. We further showed HNF4¥á-WNT5A regulation as a cross-talk point between the AMPK metabolic pathway and the WNT signaling pathway. In our subsequent study, the HNF4¥á-WNT5A regulation showed clinical outcomes, indicating poor prognosis in the diffuse type gastric cancer patients. In summary, PATHOME successfully not only identified a new GC therapeutic signaling but also provided a clue for GC companion diagnostics.

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Education

Ph.D., Interdisciplinary Program in Bioinformatics, Aug 2008, Seoul National University, Korea

M.S. Interdisciplinary Program in Bioinformatics, Aug 2004, Seoul National University, Korea

B.S. Chemistry, Aug 2002, Seoul National University, Korea

Experience

Apr 2011-present: Senior researcher, National Cancer Center, Goyang, Korea

Dec 2009-Apr 2011: Senior researcher, Supercomputing Center, Korea Institute of Science and Technology Information (KISTI), Daejeon, Korea

Sep 2008-Feb 2010: Postdoctoral fellow, Medical Sciences Program, Indiana University School of Medicine, Bloomington, IN, U.S.

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Recent Publications

1. Lee YS, Kim BH, Kim BC, Shin A, Kim JS, Hong SH, Hwang JA, Lee JA, Nam S, Lee SH, Park J, Park JW, SLC15A2 genomic variation is associated with the extraordinary response of sorafenib treatment: whole-genome analysis in patients with hepatocellular carcinoma. Oncotarget, 6(18):16449-16460, 2015 (SCIE IF: 6.627)

2. Park S, Yu SJ, Cho Y, Balch C, Lee J, Kim YH, Nam S+, Network Comparison of Inflammation in Colorectal Cancer and Alzheimer¡¯s Disease, BioMed Research International, Article ID 205247, 2015 (SCIE IF: 2.706) (+corresponding author)

3. Nam S, Chagn HR, Jung HR, Gim Y, Kim NY, Grailhe R, Seo HR, Park HS, Balch C, Lee J, Park I, Jung SY, Jeong KC, Powis G, Liang H, Lee ES, Ro J, Kim YH, A Pathway-Based Approach for Identifying Biomarkers of Tumor Progression to

Trastuzumab-Resistant Breast Cancer, Cancer Letters, 356 (2 Pt B):880-890, 2015 (SCI IF: 5.016)

4. Chang HR#, Nam S#, Kook MC#, Kim KT, Liu X, Yao H, Jung HR, Lemos R, Seo HH, Park HS, Gim Y, Hong D, Huh I, Kim YW, Tan D, Liu CG, Powis G, Park T, Liang H, Kim YH, HNF4¥á is a therapeutic target that links AMPK to WNT signaling in early-stage gastric cancer, GUT, Epub ahead of print, 2014, (#joint first authors) (SCI IF: 13.319)

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