A5045212145- Diabetes and associated disorders
- Immune Cell Function and Interaction
- Cancer, Hypoxia, and Metabolism
- Epigenetics and DNA Methylation
- CAR-T cell therapy research
- Cancer Genomics and Diagnostics
- Phagocytosis and Immune Regulation
- Cutaneous Melanoma Detection and Management
- Melanoma and MAPK Pathways
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- Computational Drug Discovery Methods
- Pancreatic and Hepatic Oncology Research
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
- Amino Acid Enzymes and Metabolism
- Liver Disease Diagnosis and Treatment
- Cancer Research and Treatments
- Gene expression and cancer classification
- CRISPR and Genetic Engineering
- Educational Curriculum and Learning Methods
- Immunotherapy and Immune Responses
- Immune cells in cancer
- vaccines and immunoinformatics approaches
- RNA modifications and cancer
Sungkyunkwan University
2018-2024
Samsung Medical Center
2018-2024
Centers for Disease Control and Prevention
2017-2023
National Cancer Institute
2018-2023
Center for Cancer Research
2019-2023
Island Hospital
2023
National Institutes of Health
2018-2023
District of Columbia Department of Health
2023
Samsung (South Korea)
2020-2023
Stanford University
2023
We have developed a cost-effective and portable graphene-enabled biosensor to detect Zika virus with highly specific immobilized monoclonal antibody. Field Effect Biosensing (FEB) antibodies covalently linked graphene enables real-time, quantitative detection of native viral (ZIKV) antigens. The percent change in capacitance response doses antigen (ZIKV NS1) coincides levels clinical significance buffer at concentrations as low 450 pM. Potential diagnostic applications were demonstrated by...
Therapies to inhibit programmed cell death 1 and its ligand (anti-PD-1/PD-L1) provide significant survival benefits in many cancers, but the efficacy of these treatments varies considerably across different cancer types. Identifying underlying variables associated with this type-specific response remains an important open research challenge.To evaluate systematically a multitude neoantigen-, checkpoint-, immune response-related determine key that accurately predict anti-PD-1/PD-L1 therapy...
Abstract T-cell exhaustion denotes a hypofunctional state of T lymphocytes commonly found in cancer, but how tumor cells drive remains elusive. Here, we find linked to overall survival 675 hepatocellular carcinoma (HCC) patients with diverse ethnicities and etiologies. Integrative omics analyses uncover oncogenic reprograming HCC methionine recycling elevated 5-methylthioadenosine (MTA) S-adenosylmethionine (SAM) be tightly exhaustion. SAM MTA induce dysfunction vitro. Moreover,...
Anticancer therapies have been limited by the emergence of mutations and other adaptations. In bacteria, antibiotics activate SOS response, which mobilizes error-prone factors that allow for continuous replication at cost mutagenesis. We investigated whether treatment lung cancer with EGFR inhibitors (EGFRi) similarly engages hypermutators. cycling drug-tolerant persister (DTP) cells in EGFRi-treated patients presenting residual disease, we observed upregulation GAS6, whereas ablation GAS6's...
While synthetic lethality (SL) holds promise in developing effective cancer therapies, SL candidates found via experimental screens often have limited translational value. Here we present a data-driven approach, ISLE (identification of clinically relevant lethality), that mines TCGA cohort to identify the most likely interactions (cSLi) from given candidate set lab-screened SLi. We first validate benchmark large-scale drug response and by predicting efficacy mouse xenograft models. then...
Abstract Predicting the outcome of immunotherapy treatment in melanoma patients is challenging. Alterations genes involved antigen presentation and interferon gamma (IFNγ) pathway play an important role immune response to tumors. We describe here that overexpression PSMB8 PSMB9 , two major components immunoproteasome, predictive better survival improved immune-checkpoint inhibitors patients. study mechanism underlying this connection by analyzing antigenic peptide repertoire cells...
The heterogeneity of pancreatic ductal adenocarcinoma (PDAC) suggests that successful treatment might rely on simultaneous targeting multiple genes, which can be achieved by RNA interference-based therapeutic strategies. Here we show a potent combination microRNA and siRNA delivered an efficient nanocarrier to PDAC tumors. Using proteomic-microRNA profiles survival data patients from TCGA, found novel signature for prolonged survival. Accordingly, used microRNA-mimic increase miR-34a...
Abstract The tumor microenvironment (TME) is a complex mixture of cell types whose interactions affect growth and clinical outcome. To discover such interactions, we developed CODEFACS (COnfident DEconvolution For All Cell Subsets), tool deconvolving type–specific gene expression in each sample from bulk expression, LIRICS (Ligand–Receptor Interactions between statistical framework prioritizing clinically relevant ligand–receptor the deconvolved data. We first demonstrate superiority versus...
Abstract Combination of anti-cancer drugs is broadly seen as way to overcome the often-limited efficacy single agents. The design and testing combinations are however very challenging. Here we present a uniquely large dataset screening over 5000 targeted agent across 81 non-small cell lung cancer lines. Our analysis reveals profound heterogeneity response tumor models. Notably, rarely result in strong gain range observable with Importantly, activity agents more often when co-targeting...
Background Systemic immune activation, hallmarked by C-reactive protein (CRP) and interleukin-6 (IL-6), can modulate antitumor responses. In this study, we evaluated the role of IL-6 CRP in stratification patients with non-small cell lung cancer (NSCLC) treated checkpoint inhibitors (ICIs). We also interrogated underlying immunosuppressive mechanisms driven IL-6/CRP axis. Methods cohort A (n=308), estimated association baseline objective response rate (ORR), progression-free survival (PFS),...
BackgroundSynthetic lethality (SL) denotes a genetic interaction between two genes whose co-inactivation is detrimental to cells. Because more than 25 years have passed since SL was proposed as promising way selectively target cancer vulnerabilities, it timely comprehensively assess its impact so far and discuss future.MethodsWe systematically analyzed the literature clinical trial data from PubMed Trialtrove databases portray preclinical landscape of oncology.FindingsWe identified 235...
Abstract Acute myeloid leukemia (AML) remains incurable, largely due to its resistance conventional treatments. Here, we find that increased abundance of the ubiquitin ligase RNF5 contributes AML development and survival. High expression in patient specimens correlates with poor prognosis. inhibition decreases cell growth culture, patient-derived xenograft (PDX) samples vivo, delays MLL-AF9–driven leukemogenesis mice, prolonging their causes transcriptional changes overlap those seen upon...
TNF receptor-associated factor 6 (TRAF6)-BECN1 signaling axis plays a pivotal role in autophagy induction through ubiquitination of BECN1, thereby inducing lung cancer migration and invasion response to toll-like receptor 4 (TLR4) stimulation. Herein, we provide novel molecular cellular mechanisms involved the negative effect ubiquitin-specific peptidase 15 (USP15) on progression. Clinical data TCGA primary non-small cell (NSCLC) patients (n = 41) revealed that expression USP15 was...
Abstract Recent studies have reported that genome editing by CRISPR–Cas9 induces a DNA damage response mediated p53 in primary cells hampering their growth. This could lead to selection of with pre-existing mutations. In this study, employing an integrated computational and experimental framework, we systematically investigated the possibility additional cancer driver mutations during CRISPR-Cas9 gene editing. We first confirm previous findings for CRISPR-Cas9. next demonstrate similar ,...
Precision oncology is gradually advancing into mainstream clinical practice, demonstrating significant survival benefits. However, eligibility and response rates remain limited in many cases, calling for better predictive biomarkers.We present ENLIGHT, a transcriptomics-based computational approach that identifies clinically relevant genetic interactions uses them to predict patient's variety of therapies multiple cancer types without training on previous treatment data. We study ENLIGHT two...
Malignant mesothelioma is an aggressive cancer with limited treatment options and poor prognosis. A better understanding of genomics transcriptomics could advance therapies. Here, we present a cohort 122 patients along their germline tumor whole-exome RNA sequencing data as well phenotypic drug response information. We identify 48-gene prognostic signature that highly predictive patient survival, including CCNB1, the expression which survival on its own. In addition, analyze to study immune...