Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0019204 (hepatocellular carcinoma)
71,386 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Axin, an important regulator of beta-catenin, is frequently mutated in human hepatocellular carcinomas (HCCs), and transduction of the wild-type Axin gene (AXIN1) induces apoptosis in HCC cells as well as in colon cancer cells. To investigate the detailed biological function of Axin, we searched on a cDNA microarray for genes whose expression was altered by transfer of wild-type AXIN1 into colon-cancer cell line LoVo. Among the genes showing altered expression, we focused on one, termed AXUD1 (AXIN1 up-regulated), that revealed enhanced expression in response to exogenously expressed AXIN1 but not to LacZ, a control gene. The AXUD1 gene consists of five exons and encodes a transcript with an open reading frame of 1767 bp. A 3.2-kb transcript of AXUD1 was expressed in all human tissues examined, most abundantly in lung, placenta, skeletal muscle, pancreas and leukocyte. By radiation-hybrid mapping we assigned its chromosomal location at 3p22, a region where frequent loss of heterozygosity has been reported in lung, renal, prostate, breast and cervical cancers. AXUD1 was frequently down-regulated in lung, kidney, liver and colon cancers compared with their corresponding normal tissues, suggesting that AXUD1 may have a tumor-suppressor function in those organs.
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PMID:Identification of AXUD1, a novel human gene induced by AXIN1 and its reduced expression in human carcinomas of the lung, liver, colon and kidney. 1152 92

Hepatocellular carcinoma (HCC) is the most common subtype in liver cancer whose prognosis is affected by malignant progression associated with complex gene interactions. However, there is currently no available biomarkers associated with HCC progression in clinical application. In our study, RNA sequencing expression data of 50 normal samples and 374 tumor samples was analyzed and 9225 differentially expressed genes were screened. Weighted gene coexpression network analysis was then conducted and the blue module we were interested was identified by calculating the correlations between 17 gene modules and clinical features. In the blue module, the calculation of topological overlap was applied to select the top 30 genes and these 30 genes were divided into the green group (11 genes) and the yellow group (19 genes) through searching whether these genes were validated by in vitro or in vivo experiments. The genes in the green group which had never been validated by any experiments were recognized as hub genes. These hub genes were subsequently validated by a new data set GSE76427 and KM Plotter Online Tool, and the results indicated that 10 genes (FBXO43, ARHGEF39, MXD3, VIPR1, DNASE1L3, PHLDA1, CSRNP1, ADR2B, C1RL, and CDC37L1) could act as prognosis and progression biomarkers of HCC. In summary, 10 genes who have never been mentioned in HCC were identified to be associated with malignant progression and prognosis of patients. These findings may contribute to the improvement of the therapeutic decision, risk stratification, and prognosis prediction for HCC patients.
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PMID:Prognostic genes of hepatocellular carcinoma based on gene coexpression network analysis. 3077 1