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)

The natural course of early HCC is unknown, and its progression to intermediate and advanced HCC can be diverse. Some early stage HCC patients enjoy prolonged disease-free survival, whereas others suffer aggressive relapse to stage IV metastatic cancer within a year. Comparative proteomics of HCC tumor tissues was carried out using 2D-DIGE and MALDI-TOF/TOF MS to identify proteins that can distinguish these two groups of stage I HCC patients. Twelve out of 148 differentially regulated protein spots were found to differ by approximately 2-fold for the relapse versus nonrelapse patient tissues. Four proteins, namely, heat shock 70 kDa protein 1, argininosuccinate synthase, isoform 2 of UTP-glucose-1-phosphate uridylyltransferase, and transketolase, were shown to have the potential to differentiate metastatic relapse (MR) from nonrelapse (NR) HCC patients after validation by western blotting and immunohistochemical assays. Subsequent TMA analysis revealed a three marker panel of HSP70, ASS1, and UGP2 to be statistically significant in stratifying the two groups of HCC patients. This combination panel achieved high levels of sensitivity and specificity, which has potential for clinical use in identifying HCC tumors prone to MR. This stratification will allow development of clinical management, including close follow-up and possibly treatment options, in the near future.
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PMID:Novel proteomic biomarker panel for prediction of aggressive metastatic hepatocellular carcinoma relapse in surgically resectable patients. 2494 62

Numerous studies indicate that long noncoding RNAs (lncRNAs) are dysregulated in hepatocellular carcinoma (HCC) and might serve as potential diagnostic biomarkers and therapeutic targets of HCC. Therefore, it is interesting to globally identify the lncRNAs altered in HCC. In our study, we used microarray to profile the levels of lncRNAs and mRNAs in three pairs of HCC and their adjacent noncancerous samples. We found lncRNA-SVUGP2, which is a splice variant of the UGP2 gene, was down-regulated in HCC samples and correlates with a better prognosis in patients with HCC. Overexpression of lncRNA-SVUGP2 in HepG2 and Hep3B liver cancer cells suppresses cell proliferation in vitro and tumor growth in vivo. Moreover, lncRNA-SVUGP2 suppresses the invasion ability of liver cancer cell lines and downregulates the mRNA and protein levels of MMP2 and 9. Additionally, lncRNA-SVUGP2 positively or negatively correlates with many mRNAs in liver cancer tissues, indicating it is multifunctional in regulating carcinogenesis.
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PMID:LncRNA-SVUGP2 suppresses progression of hepatocellular carcinoma. 3013 57

The systematic investigation of gene mutation and expression is important to discover novel biomarkers and therapeutic targets in cancers. Here, we integrated genomics, transcriptomics, proteomics, and metabolomics to analyze three hepatocellular carcinoma (HCC) cell lines with differential metastatic potentials. The results revealed the profile of the prometastasis metabolism potentially associated with HCC metastasis. The multiomic analysis identified 12 genes with variations at multiple levels from three metabolic pathways, including glycolysis, starch, and sucrose metabolism, and glutathione metabolism. Furthermore, uridine diphosphate (UDP)-glucose pyrophosphorylase 2 (UGP2), was observed to be persistently up-regulated with increased metastatic potential. UGP2 overexpression promoted cell migration and invasion and enhanced glycogenesis in vitro The role of UGP2 in metastasis was further confirmed using a tumor xenograft mouse model. Taken together, the compendium of multiomic data provides valuable insights in understanding the roles of shifted cellular metabolism in HCC metastasis.
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PMID:Multiomics Integration Reveals the Landscape of Prometastasis Metabolism in Hepatocellular Carcinoma. 2937 Dec 91

Alternative splicing (AS) is assumed to be a pivotal determinant for the generation of diverse transcriptional variants in cancer. However, the comprehensive dysregulation of AS and the prospective biological and clinical relevance in hepatocellular carcinoma (HCC) remain obscure. Here, we identified and depicted the AS landscape in HCC by performing reference-based assembly of sequencing reads from over 600 RNA sequencing (RNA-seq) libraries. We detected various differentially spliced ASEs across patients covering not only protein-coding genes, but also considerable numbers of noncoding genes. Strikingly, alternative transcription initiation was found to frequently occur in HCC. These differential ASEs were highly related to "cancer hallmarks" and involved in metabolism-related pathways in particular. In addition, 243 differential ASEs were identified as risk predictors for HCC patient survival. The isoform switch of metabolism-related gene UGP2 (UDP-glucose pyrophosphorylase 2) might play an essential role in HCC. We further constructed regulatory networks between RNA-binding protein (RBP) genes and the corresponding ASEs. Further analysis demonstrated that the regulated networks were enriched in a variety of metabolism-related pathways. Conclusion: Differential ASEs are prevalent in HCC, where alternative transcription initiation was found to frequently occur. We found that genes having differential ASEs were significantly enriched in metabolism-related pathways. The expression variations, binding relations, and even mutations of RBP genes largely influenced differential ASEs in HCC.
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PMID:Transcriptome-Wide Analysis Reveals the Landscape of Aberrant Alternative Splicing Events in Liver Cancer. 3001 19