Linked Life Data

19129945

Source:http://linkedlifedata.com/resource/pubmed/id/19129945

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2009-1-8
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1745-7270
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1-15
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
An overview of hepatocellular carcinoma study by omics-based methods.
pubmed:affiliation
TNLIST/Department of Automation, Bioinformatics and Bioinformatics Division, MOE Key Laboratory, Tsinghua University, Beijing, China.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't