Evidence map›Paper›PMID 18932288›Full record

ArticleWorld journal of gastroenterology2008

Distinct expression patterns in hepatitis B virus- and hepatitis C virus-infected hepatocellular carcinoma.

Chun-Feng Lee, Zhi-Qiang Ling, Ting Zhao, Kuan-Rong Lee

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chun-Feng LeeInstitute of Molecular Medicine, National Tsing Hua University, Taiwan 30013, China.
Zhi-Qiang Ling
Ting Zhao
Kuan-Rong Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify biomarkers indicating virus-specific hepatocarcinogenic process, differential mRNA expression in 32 patients with hepatitis B virus (HBV)-/hepatitis C virus (HCV)-associated hepatocellular carcinoma (HCC) were investigated by means of cDNA microarrays comprising of 886 genes.

methodsThirty two HCC patients were divided into two groups based on viral markers: hepatitis B virus positive and HCV positive. The expression profiles of 32 pairs of specimens (tumorous and surrounding non-tumorous liver tissues), consisting of 886 genes were analyzed.

resultsSeven up-regulated genes in HBV-associated HCC comprised genes involved in protein synthesis (RPS5), cytoskeletal organization (KRT8), apoptosis related genes (CFLAR), transport (ATP5F1), cell membrane receptor related genes (IGFBP2), signal transduction or transcription related genes (MAP3K5), and metastasis-related genes (MMP9). The up-regulated genes in HCV-infected group included 4 genes: VIM (cell structure), ACTB (cell structure), GAPD (glycolysis) and CD58 (cell adhesion). The expression patterns of the 11 genes, identified by cDNA microarray, were confirmed by quantitative RT-PCR in 32 specimens.

conclusionThe patterns of all identified genes were classified based on the viral factor involved in HBV- and HCV-associated HCC. Our results strongly suggest that the pattern of gene expression in HCC is closely associated with the etiologic factor. The present study indicates that HBV and HCV cause hepatocarcinogenesis by different mechanisms, and provide novel tools for the diagnosis and treatment of HBV- and HCV-associated HCC.

Indexed as

HepacivirusHepatitis B virusAdultAgedBiomarkers, TumorCarcinoma, HepatocellularCASP8 and FADD-Like Apoptosis Regulating ProteinCD58 AntigensFemaleGene Expression Regulation, NeoplasticGlyceraldehyde-3-Phosphate DehydrogenasesHumansKeratin-8Liver NeoplasmsMaleMiddle AgedBiomarkers, TumorCASP8 and FADD-Like Apoptosis Regulating ProteinCD58 AntigensCFLAR protein, humanGlyceraldehyde-3-Phosphate DehydrogenasesKeratin-8KRT8 protein, humanRibosomal Proteinsribosomal protein S5RNA, Messenger

Identifiers

PMID18932288
PMCPMC2760187

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.