이진국 교수
Jin-Ku Lee
서울대학교 · 의학
연구실 소개
이진국 교수의 연구실은 뇌암과 백혈병을 비롯한 치명적인 암 종양의 악성 생물학적 메커니즘을 밝히는 데 초점을 맞추고 있습니다. 특히 GBM(다형성 혈관내피세포종양)의 치료 내성과 암세포 간의 인식 전환을 유도하는 EMT(상피세포에서 만성세포로의 전환) 과정, 그리고 STAT3 및 USP1과 같은 핵심 신호전달 분자들이 암 진행에 미치는 영향을 중심으로 기전을 규명하고 있습니다. 또한, 약물 내성의 분자 기전을 밝혀내는 데 초점을 두고 있으며, 이는 새로운 표적 치료 전략 개발에 기여하고자 합니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Our results show that miRNA deregulation may play an important role in the malignant transformation of cervical squamous cells. In addition, they may offer new candidate targets to be exploited for both prognostic and therapeutic strategies in patients with cervical cancer.
Triboelectric polymer with high charge density is the foundation to promote the wide range of applications of triboelectric nanogenerators. This work develops a method to produce triboelectric polymer based on repeated rheological forging. The fluorinated ethylene propylene film fabricated by repeated forging method not only has excellent mechanical properties and good transmittance, but also can maintain an ultrahigh tribo-charge density. Based on the film with a thickness of 30 μm, the output
Although mutations in the gene encoding the RNA splicing factor SF3B1 are frequent in multiple cancers, their functional effects and therapeutic dependencies are poorly understood. Here, we characterize 98 tumors and 12 isogenic cell lines harboring <i>SF3B1</i> hotspot mutations, identifying hundreds of cryptic 3' splice sites common and specific to different cancer types. Regulatory network analysis revealed that the most common <i>SF3B1</i> mutation activates MYC via effects conserved across
USP1-mediated protein stabilization promotes GSC maintenance and treatment resistance, thereby providing a rationale for USP1 inhibition as a potential therapeutic approach against GBM.
The 1C1-mcMMAF immunoconjugate had antitumor activity in preclinical models of ovarian carcinoma.
Predicting the outcome of cancer therapies using molecular features and clinical observations is a key goal of cancer biology, which has been addressed comprehensively using whole patient datasets without considering the effect of tumor heterogeneity. We hypothesized that molecular features and clinical observations have different prognostic abilities for different cancer subtypes, and made a systematic study using both clinical observations and gene expression data. This analysis revealed that
Triboelectric nanogenerators (TENGs) play a crucial role in attaining sustainable energy for various wearable devices. Polymer materials are essential components of TENGs. Biopolymers are suitable materials for TENGs because of their degradability, natural sourcing, and cost-effectiveness. Herein, the latest progress in commonly used biopolymers and well-designed biomimetic techniques for TENG is summarized. The applications of natural rubber, polysaccharides, protein-based biopolymers, and othe
: A higher K value at baseline DCE-MRI suggested a poor ablation efficacy of MR-HIFU therapy for symptomatic uterine fibroids.
In carefully selected patients, GKS may be a treatment option for ten or more brain metastases.
Glioblastoma multiforme (GBM) is the most common and most lethal primary brain tumor, with tragically little therapeutic progress over the last 30 years. Surgery provides a modest benefit, and GBM cells are resistant to radiation and chemotherapy. Despite significant development of the molecularly targeting strategies, the clinical outcome of GBM patients remains dismal. The challenges inherent in developing effective GBM treatments have become increasingly clear, and include resistance to stand
Lung cancer is the leading cause of death from cancer in the world and its treatment is dependant on the type and stage of cancer detected in the patient. Molecular biomarkers that can characterize the cancer phenotype are thus a key tool in planning a therapeutic response. A common protocol for identifying such biomarkers is to employ genomic microarray analysis to find genes that show differential expression according to disease state or type. Data-mining techniques such as feature selection a
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