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Genomicswhole exome sequencing of Korean hepatocellular carcinomas
Data Access Committee EGAC00001000329
EGAC00001000329 | EGA
UnknownPrognostic significance of high metabolic activity in breast cancer: PET signature in breast cancer.
High metabolic activity, reflected in increased glucose uptake, is one of the hallmarks of many cancers including breast cancer. However, not all cancers avidly take up glucose, suggesting heterogeneity in their metabolic demand. Thus, we aim to generate a genomic signature of glucose hypermetabolis...
S-EPMC8356554 | biostudies-literature
UnknownAssociation of Survival with Radiologic-Pathologic Discordance in Patients with Hepatocellular Carcinoma: A Nationwide Cohort Study Based on the Primary Liver Cancer Registry in Korea.

Background/aims

No studies have investigated the effects of radiologic-pathologic discordance on the outcomes of patients who have undergone resection for hepatocellular carcinoma (HCC). Therefore, we investigated the effects of these discrepancies on the outcomes of such patients.

Method...

S-EPMC12261120 | biostudies-literature
Genomicsena-DATASET-asan-ccgd-27-09-2019-00:22:21:191-59 - samples
231 HCC exome sequencing with Sureselect 50Mb
EGAD00001005361 | EGA
GenomicsThese are from Korean HCC samples with exome sequencing
Hepatic resection is the most curative treatment option for early-stage hepatocellular carcinoma, but is associated with a high recurrence rate, which exceeds 50% at 5 years after surgery. Understanding the genetic basis of hepatocellular carcinoma at surgically curable stages may enable the identif...
EGAS00001000604 | EGA
ProteomicsQuantitative proteomic analysis of CKD urine samples
Urinary proteomics studies have primarily focused on identifying markers of chronic kidney disease (CKD) progression. Here, we aimed to specify CKD-related injury markers through proteomics analysis in urine of patients with CKD. Label-free quantitative proteomics analysis based on liquid chromatogr...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2021-06-15 | MSV000087635 | MassIVE
ProteomicsIdentification of Missing Proteins in Human Olfactory Epithelial Tissue by Liquid Chromatography-Tandem Mass Spectrometry
We performed proteomic analyses of human olfactory epithelial tissue to identify missing proteins using liquid chromatography-tandem mass spectrometry. Using a next-generation proteomic pipeline with a <1.0% false discovery rate at the peptide and protein levels, we identified 3,731 proteins, among ...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2020-11-12 | MSV000086444 | MassIVE
ProteomicsnextPP for chromosome-based proteomic research using neXtProt and GENCODE databases
In this study, we introduce a streamlined pipeline using customized and concatenated GENCODE and neXtProt databases with controlled false discovery rate (FDR) for finding GENCODE ASVs and missing proteins while mapping onto single amino acid variants (SAAVs) from Hippocampal dataset.
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2017-07-25 | MSV000081385 | MassIVE
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