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Corticotropin releasing hormone binding protein (CRHBP) mediates the reaction between corticotropin releasing hormone (CRH) and corticotropin releasing hormone receptors (CRHRs). It is expressed in a number of organs, and the expression of CRHBP is associated with tumorigenesis and cancer progression. The aim of the present study was to investigate CRHBP expression levels in hepatocellular carcinoma (HCC) and its association with patient clinicopathological characteristics as well as prognosis. The expression of CRHBP was examined by immunohistochemistry in 169 HCC tissues and 151 adjacent non-tumorous tissues. The results were validated by western blotting using patient tissues and liver cancer cell lines. The association of CRHBP expression with clinicopathological patient characteristics and survival rate was analyzed statistically. Expression of CRHBP was detected in 142/151 (94.0%) non-tumorous liver tissues, and 84/169 (49.7%) HCC tissues (P<0.001). The expression of CRHBP was negatively associated with tumor size (P=0.013), Edmondson Grade (P=0.002), hepatitis B virus antigen (P=0.020), and α-fetoprotein levels (P=0.014). Patients exhibiting low CRHBP expression were associated with shorter survival time compared with those exhibiting high CRHBP expression (P=0.012). The results of western blotting analysis suggest that reduced CRHBP expression is frequently observable in patients with HCC. Low CRHBP expression in HCC tissues may be a predictor of clinical prognosis and a potential therapeutic target for HCC.
Pubmed ID: 30127978
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Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013)
View all literature mentionsOncomine Research Platform is a partially-commercial suite of products for online cancer gene expression analysis dedicated to the academic and non-profit research community. Oncomine combines a rapidly growing compendium of 20,000+ cancer transcriptome profiles with a sophisticated analysis engine and a powerful web application for data-mining and visualization. Oncomine facilitates rapid and reliable biomarker and therapeutic target discovery, validation and prioritization. Oncomine was developed by physicians, scientists, and software engineers at the University of Michigan and is now fully supported for the academic and non-profit research community by Compendia Bioscience.
View all literature mentionsIntegrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.
View all literature mentionsSoftware used for Bio-Rad imaging systems to acquire, quantitate, and analyze a variety of data. The software allows automatic configuration of imaging systems with appropriate filters, lasers, LEDs, and other illumination sources. It also contains tools for automated analysis of tests and assays such as 1-D electrophoretic gels, western blots, and colony counts.
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View all literature mentionsCell line Hep-G2 is a Cancer cell line with a species of origin Homo sapiens (Human)
View all literature mentions