강원기 교수
Won Ki Kang
성균관대학교 의학과 · 의학
연구실 소개
강원기 교수의 연구실은 위암의 치료 및 예후 예측을 위한 신뢰도 높은 생물학적 지표 개발과 신약 타겟 발굴에 초점을 맞추고 있습니다. 특히, 수술 후 복발 위험을 높이는 고위험 환자를 정밀하게 선별하기 위한 유전자 프로파일링 기반 예후 알고리즘(GCPS) 개발과 함께, 항암 면역요법 및 대사 억제 전략(예: MCT 억제제)을 통한 새로운 치료 전략을 모색하고 있습니다. 또한 스타틴의 항암 및 항혈관생성 작용에 대한 기전 연구를 통해 기존 약물의 재창출 가능성을 탐색하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15In patients with curatively D2-resected, stage II/III, node-positive GC, adjuvant SOX or SOXRT was effective in prolonging DFS, when compared with S-1 monotherapy. The addition of radiotherapy to SOX did not significantly reduce the rate of recurrence after D2 gastrectomy.
Despite the benefits from adjuvant chemotherapy or chemoradiotherapy, approximately one-third of stage II gastric cancer (GC) patients developed recurrences. The aim of this study was to develop and validate a prognostic algorithm for gastric cancer (GCPS) that can robustly identify high-risk group for recurrence among stage II patients. A multi-step gene expression profiling study was conducted. First, a microarray gene expression profiling of archived paraffin-embedded tumor blocks was used to
A phase I dose-escalation clinical trial of peritumoral injections of interleukin 12 (IL-12)-transduced autologous fibroblasts was performed in patients with disseminated cancer for whom effective treatment does not exist. The goals of this study were to assess the safety and toxicities as well as the efficacy, and ancillarily the immunomodulatory effects, of peritumoral IL-12 gene transfer. Primary dermal fibroblasts cultured from the patients were transduced with retroviral vector carrying hum
BACKGROUND: Statins, 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors, are commonly prescribed because of their therapeutic and preventive effects on cardiovascular diseases. Even though they have been occasionally reported to have antitumour activity, it is unknown whether statins have anti-angiogenic effect in human colorectal cancer (CRC). METHODS: A total of 11 human CRC cell lines were used to test the effects of bevacizumab, statins, and bevacizumab plus statins on human umbilica
BACKGROUND: Several studies have suggested a cancer risk reduction in statin users although the evidence remains weak for stomach cancer. The purpose of this study was to use an exact-matching case-control design to examine the risk of gastric cancer associated with the use of statins in a cohort of patients with diabetes. METHODS: Cases were defined as patients with incident gastric cancer identified by International Classification of Diseases 16.0 ~ 16.9 recorded at Samsung Medical Center data
Monocarboxylate transporters (MCTs) play a major role in up-regulation of glycolysis and adaptation to acidosis. However, the role of MCTs in gastric cancer (GC) is not fully understood. We investigated the potential utilization of a new cancer therapy for GC. We characterized the expression patterns of the MCT isoforms 1, 2, and 4 and investigated the role of MCT in GC through in vitro and in vivo tests using siRNA targeting MCTs. In GC cell lines, MCT1, 2, and 4 were up-regulated with differen
Abstract Monocarboxylate transporters (MCT) are transmembrane proteins that control the lactate metabolism and are associated with poor prognosis in solid tumors, including colorectal cancer. Here, we aimed to investigate the biological and clinical role of MCTs in colorectal cancer and to assess the potential of therapeutic application. A total of 16 human colorectal cancer cell lines, 11 patient-derived cells from malignant ascites [patient-derived cells (PDC)], and 39 matched pairs of primary
PURPOSE: The aim of this study was to utilize the proteomics-based Collaborative Enzyme Enhanced Reactive (CEER) immunoassay to investigate protein tyrosine phosphorylations as diagnostic markers in gastric cancers (GCs). EXPERIMENTAL DESIGN: Protein lysates from fresh-frozen 434 advanced stage GCs were analyzed for phosphorylation of HER1, HER2, p95HER2, HER3, cMET, IGF1R and PI3K. The pathway activation patterns were segregated based on the tumor HER2 status. Hierarchical clustering was utiliz
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