Title of article :
Evaluation of liver cirrhosis and hepatocellular carcinoma using Protein-Protein Interaction Networks
Author/Authors :
Ehsani Ardakani, Mohammad Javad Gastroenterology and Liver Diseases Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Safaei, Akram Proteomics Research Center - Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Arefi Oskouie, Afsaneh Department of Basic Sciences - Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Haghparast, Hesam Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Haghazali, Mehrdad Behbood Gastroenterology and Liver Diseases Research Center -Shahid Beheshti University of Medical Sciences, Tehran, Iran , Mohaghegh Shalmani, Hamid Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Peyvandi, Hassan Hearing Disorders Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Naderi, Nosratollah Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Zali, Mohammad Reza Gastroenterology and Liver Diseases Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran
Pages :
9
From page :
14
To page :
22
Abstract :
Aim: In the current study, we analysised only the articles that investigate serum proteome profile of cirrhosis patients or HCC patients versus healthy controls. Background: Increased understanding of cancer biology has enabled identification of molecular events that lead to the discovery of numerous potential biomarkers in diseases. Protein-protein interaction networks is one of aspect that could elevate the understanding level of molecular events and protein connections that lead to the identification of genes and proteins associated with diseases. Methods: Gene expression data, including 63 gene or protein names for hepatocellular carcinoma and 29 gene or protein names for cirrhosis, were extracted from a number of previous investigations. The networks of related differentially expressed genes were explored using Cytoscape and the PPI analysis methods such as MCODE and ClueGO. Centrality and cluster screening identified hub genes, including APOE, TTR, CLU, and APOA1 in cirrhosis. Results: CLU and APOE belong to the regulation of positive regulation of neurofibrillary tangle assembly. HP and APOE involved in cellular oxidant detoxification. C4B and C4BP belong to the complement activation, classical pathway and acute inflammation response pathway. Also, it was reported TTR, TFRC, VWF, CLU, A2M, APOA1, CKAP5, ZNF648, CASP8, and HSP27 as hubs in HCC. In HCC, these include A2M that are corresponding to platelet degranulation, humoral immune response, and negative regulation of immune effector process. CLU belong to the reverse cholesterol transport, platelet degranulation and human immune response. APOA1 corresponds to the reverse cholesterol transport, platelet degranulation and humoral immune response, as well as negative regulation of immune effector process pathway. Conclusion: In conclusion, this study suggests that there is a common molecular relationship between cirrhosis and hepatocellular cancer that may help with identification of target molecules for early treatment that is essential in cancer therapy.
Keywords :
Cirrhosis , Hepatocellular carcinoma , Protein-Protein Interaction Network , Gene ontology
Journal title :
Gastroenterology and Hepatology From Bed to Bench
Serial Year :
2016
Record number :
2515828
Link To Document :
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