A5043551302- Ferroptosis and cancer prognosis
- Cancer Genomics and Diagnostics
- BRCA gene mutations in cancer
- Bioinformatics and Genomic Networks
- Thyroid Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Cancer, Lipids, and Metabolism
- RNA modifications and cancer
- Pancreatic and Hepatic Oncology Research
- Acute Myeloid Leukemia Research
- Circular RNAs in diseases
- Peptidase Inhibition and Analysis
- Liver Disease Diagnosis and Treatment
- Neuroendocrine Tumor Research Advances
- Gene expression and cancer classification
- Cancer, Hypoxia, and Metabolism
- RNA Research and Splicing
- Renal cell carcinoma treatment
- Global Cancer Incidence and Screening
- Cancer Mechanisms and Therapy
- Sarcoma Diagnosis and Treatment
- Cancer-related molecular mechanisms research
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- Genetic factors in colorectal cancer
Korea University
2017-2018
Statistics Korea
2017-2018
High rates of glucose transport via solute carrier (SLC2A, GLUT) family members are required to satisfy the high metabolic demands cancer cells, and because this characteristic cells 2-18fluoro-deoxy-D-glucose (18FDG)-PET has become a powerful diagnostic tool. However, its sensitivity for hepatocellular carcinoma (HCC) is lower than other malignancies, which suggests SLC2A differentially expressed in HCC. In present study, expression patterns tumor tissues their associations with HCC...
Abstract There is a growing need for the discovery of new prognostic factors cases where scoring and staging system hepatocellular carcinoma (HCC) does not result in clear definition. We analyzed whether AP‐2 complex subunit mu (AP2M1) expression could be marker HCC based on roles AP2M1 influencing hepatocyte growth factor (HGF) promoter regulation hepatitis C virus (HCV) assembly. Patient data were extracted from cohorts Gene Expression Omnibus (GSE10186), International Cancer Genome...
Prognostic genes or gene signatures have been widely used to predict patient survival and aid in making decisions pertaining therapeutic actions. Although some web-based analysis tools developed, they several limitations.Taking these limitations into account, we developed ESurv (Easy, Effective, Excellent Survival tool), a tool that can perform advanced analyses using user-derived data from The Cancer Genome Atlas (TCGA). Users conduct univariate grouped variable selections multiomics...
Zinc fingers and homeoboxes (ZHX) is a transcription repressor family that contains three members; ZHX1, ZHX2, ZHX3. Although ZHX members have been associated with the progression of cancer, their values as prognostic factors in cancer patients poorly examined. Renal cell carcinoma (RCC) highly heterogeneous, aggressive responds variably to treatment. Thus, molecular markers are required evaluate disease improve survival. In clear RCC (ccRCC), ZHX1 ZHX3 expression were found be...
Abstract With the recent emphasis on importance of personalized genomic medicine, studies have performed prognostic stratification using gene signatures in cancers. However, these not considered networks with clinical data. Therefore, this study aimed to develop a novel score grouped variable selection for patients osteosarcoma. We assessed messenger RNA (mRNA) expression and data from Gene Expression Omnibus scoring system Variable Network‐Regularized high‐dimensional Cox‐regression...
Accurate prediction of prognosis is critical for therapeutic decisions regarding cancer patients. Many previously developed prognostic scoring systems have limitations in reflecting recent progress the field biology such as microarray, next-generation sequencing, and signaling pathways. To develop a new system patients, we used mRNA expression clinical data various independent breast cohorts (n=1214) from Molecular Taxonomy Breast Cancer International Consortium (METABRIC) Gene Expression...
Abstract Generating accurate prognoses is extremely important for treating patients with cancer. Prognostic prediction based on messenger RNA (mRNA) expression has shown superior clinical value to other markers some cancers but not currently used acute myeloid leukemia (AML). Lipid metabolism associated biological aspects of cancer progression, including massive proliferation, and abnormal signaling. Moreover, abnormalities in lipid have prognostic significance. Patients AML display...
Abstract As the importance of personalized therapeutics in aggressive papillary thyroid cancer (PTC) increases, accurate risk stratification is required. To develop a novel prognostic scoring system for patients with PTC (n = 455), we used mRNA expression and clinical data from The Cancer Genome Atlas. We performed variable selection using Network‐Regularized high‐dimensional Cox‐regression gene network pathway databases. score was calculated linear combination regression coefficients...
Advances in genomics have greatly improved the survival rate cancer patients. However, due to genetic heterogeneity, pancreatic ductal adenocarcinoma (PDAC) is still difficult diagnose early, and its extremely low. Therefore, we identified biomarkers that predict prognosis of PDAC patients using independent cohort data.To develop a novel prognostic biomarker, used gene expression clinical data from The Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO). Kaplan-Meier curve median values...
The present study investigated the dynamics and prognostic role of messenger RNA (mRNA) expression responsible for ¹⁸F-fluorodeoxyglucose (FDG) uptake in FDG positron emission tomography (PET) radioactive iodine (¹³¹I) whole-body scans (WBS) papillary thyroid cancer (PTC) patients. primary processed data were downloaded from Genomic Data Commons Portal. Expression sodium/iodide symporter (solute carrier family 5 member 5, SLC5A5), hexokinase (HK1-3), glucose-6-phosphate dehydrogenase (G6PD),...
Certain nuclear envelope proteins are associated with important cancer cell characteristics, including migration and proliferation. Abnormal expression of genetic changes in have been reported acute myeloid leukemia (AML) patients. Transmembrane protein 18 (TMEM18), a protein, is involved neural stem tumorigenicity.To examine the prognostic significance TMEM18 AML patients, we analyzed an cohort from The Cancer Genome Atlas (TCGA, n = 142).Kaplan-Meier survival analysis revealed that...
<sec> <title>BACKGROUND</title> Prognostic genes or gene signatures have been widely used to predict patient survival and aid in making decisions pertaining therapeutic actions. Although some web-based analysis tools developed, they several limitations. </sec> <title>OBJECTIVE</title> Taking these limitations into account, we developed ESurv (Easy, Effective, Excellent Survival tool), a tool that can perform advanced analyses using user-derived data from The Cancer Genome Atlas (TCGA). Users...
Background: The advances of genomics have greatly improved the survival rate cancer patients. However, due to genetic heterogeneity, pancreatic ductal adenocarcinoma (PDAC) is still difficult diagnose early and extremely low. Therefore, we identified biomarkers that predict prognosis PDAC patients by using independent cohort data. Methods: To develop a novel prognostic biomarker, used gene expression clinical data from Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO). In Kaplan-Meier...
<sec> <title>BACKGROUND</title> Prognostic genes or gene signatures have been widely used to predict patients’ survival and aid the decision of therapeutic options. Although few web-based analysis tools identify them developed, they only provide limited information. </sec> <title>OBJECTIVE</title> To overcome limitations previous comprehensive analysis, we developed GIANT, an online resource for identifying prognostic biomarkers in pan-cancer from The Cancer Genome Atlas (TCGA)....