Literature DB >> 19129945

An overview of hepatocellular carcinoma study by omics-based methods.

Yunfei Pei1, Ting Zhang, Victor Renault, Xuegong Zhang.   

Abstract

Hepatocellular carcinoma (HCC) is one of the most deadly malignancies worldwide. Scientists have been studying the molecular mechanism of HCC for years, but the understanding of it remains incomplete and scattered across the literature at different molecular levels. Chromosomal aberrations, epigenetic abnormality and changes of gene expression have been reported in HCC. High-throughput omics technologies have been widely applied, aiming at the discovery of candidate biomarkers for cancer staging, prediction of recurrence and prognosis, and treatment selection. Large amounts of data on genetic and epigenetic abnormalities, gene expression profiles, microRNA expression profiles and proteomics have been accumulating, and bioinformatics is playing a more and more important role. In this paper, we review the current omics-based studies on HCC at the levels of genomics, transcriptomics and proteomics. Integrating observations from multiple aspects is an essential step toward the systematic understanding of the disease.

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Year:  2009        PMID: 19129945     DOI: 10.1093/abbs/gmn001

Source DB:  PubMed          Journal:  Acta Biochim Biophys Sin (Shanghai)        ISSN: 1672-9145            Impact factor:   3.848


  21 in total

Review 1.  Is That Possible to Stop or Cease the NASH to Turn into HCC?

Authors:  Ahmet Uygun
Journal:  J Gastrointest Cancer       Date:  2017-09

2.  Human liver tissue metabolic profiling research on hepatitis B virus-related hepatocellular carcinoma.

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Journal:  World J Gastroenterol       Date:  2013-06-14       Impact factor: 5.742

3.  Identifying hepatocellular carcinoma-related genes and pathways by system biology analysis.

Authors:  P Wang; L Ouyang; L Zheng; Z Wang
Journal:  Ir J Med Sci       Date:  2014-04-18       Impact factor: 1.568

4.  Decaprenyl diphosphate synthase subunit 2 as a prognosis factor in hepatocellular carcinoma.

Authors:  Wei Huang; Fei Gao; Kang Li; Wen Wang; Ya-Rou Lai; Shao-Hui Tang; Dong-Hua Yang
Journal:  World J Gastroenterol       Date:  2015-03-14       Impact factor: 5.742

5.  Hsa-miR-195 targets PCMT1 in hepatocellular carcinoma that increases tumor life span.

Authors:  Marwa Amer; M Elhefnawi; Eman El-Ahwany; A F Awad; Nermen Abdel Gawad; Suher Zada; F M Abdel Tawab
Journal:  Tumour Biol       Date:  2014-08-14

6.  Aberrant lipid metabolism in hepatocellular carcinoma revealed by plasma metabolomics and lipid profiling.

Authors:  Andrew D Patterson; Olivier Maurhofer; Diren Beyoglu; Christian Lanz; Kristopher W Krausz; Thomas Pabst; Frank J Gonzalez; Jean-François Dufour; Jeffrey R Idle
Journal:  Cancer Res       Date:  2011-09-07       Impact factor: 12.701

7.  "Drivers" of translational cancer epidemiology in the 21st century: needs and opportunities.

Authors:  Tram Kim Lam; Margaret Spitz; Sheri D Schully; Muin J Khoury
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-01-15       Impact factor: 4.254

8.  Array-based profiling of the differential methylation status of CpG islands in hepatocellular carcinoma cell lines.

Authors:  Bin-Bin Liu; Dan Zheng; Yin-Kun Liu; Xiao-Nan Kang; Lu Sun; Kun Guo; Rui-Xia Sun; Jie Chen; Yan Zhao
Journal:  Oncol Lett       Date:  2010-09-01       Impact factor: 2.967

9.  Proteomic differences between hepatocellular carcinoma and nontumorous liver tissue investigated by a combined gel-based and label-free quantitative proteomics study.

Authors:  Dominik A Megger; Thilo Bracht; Michael Kohl; Maike Ahrens; Wael Naboulsi; Frank Weber; Andreas-Claudius Hoffmann; Christian Stephan; Katja Kuhlmann; Martin Eisenacher; Jörg F Schlaak; Hideo A Baba; Helmut E Meyer; Barbara Sitek
Journal:  Mol Cell Proteomics       Date:  2013-03-05       Impact factor: 5.911

10.  MiR-214 targets β-catenin pathway to suppress invasion, stem-like traits and recurrence of human hepatocellular carcinoma.

Authors:  Hongping Xia; London Lucien P J Ooi; Kam M Hui
Journal:  PLoS One       Date:  2012-09-04       Impact factor: 3.240

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