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Research article
Wei xuan
China-Japan Union Hospital of Jilin University
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Hepatocellular carcinoma (HCC) has a poor prognosis, while the diagnosis biomarkers or treatment targets for HCC are still lacking. Recently, mining strategies on public access databases has been successfully used to discover novel and sensitive biomarkers. In this study, bioinformatics analysis of the genomic and transcriptome data of HCC PBMC samples obtained from the Gene Expression Omnibus datasets. The analysis results showed that thrombospondin-1 (THBS-1) was dysregulated in HCC, and might be as biomarkers as it is a secretory protein and found to participate in liver dysfunction including HCC development. THBS-1 related micro RNAs are identified by bioinformatics analysis and tested as biomarkers as they are altered in many tumors and stable in circulation. The results showed that plasma THBS-1 and miR-194 were down-regulated in HCC patients and their correlations were positive. Whereas plasma level of miR-338-3p was significantly increased in the HCC patients and negatively correlated with THBS-1 and they showed a highly significant diagnostic value in discriminating HCC. In addition, THBS-1 and miR-338-3p combination displayed higher predictive power than them alone, and addition of miR-338-3p might enhance predictive power of AFP for HCC. Our data showed that THBS-1 and miR-338-3p displayed a highly significant diagnostic value in discriminating between HCC patients and control subjects. Addition of miR-338-3p might enhance the predictive potency of AFP for HCC.
Keywords
Thrombospondin-1, miR-194, miR-338-3p, Biomarker, Hepatocellular carcinoma，Bioinformatics analysis
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This is a preprint. It has not completed peer review.
Research article
Wei xuan
China-Japan Union Hospital of Jilin University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 16 Jul, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Hepatocellular carcinoma (HCC) has a poor prognosis, while the diagnosis biomarkers or treatment targets for HCC are still lacking. Recently, mining strategies on public access databases has been successfully used to discover novel and sensitive biomarkers. In this study, bioinformatics analysis of the genomic and transcriptome data of HCC PBMC samples obtained from the Gene Expression Omnibus datasets. The analysis results showed that thrombospondin-1 (THBS-1) was dysregulated in HCC, and might be as biomarkers as it is a secretory protein and found to participate in liver dysfunction including HCC development. THBS-1 related micro RNAs are identified by bioinformatics analysis and tested as biomarkers as they are altered in many tumors and stable in circulation. The results showed that plasma THBS-1 and miR-194 were down-regulated in HCC patients and their correlations were positive. Whereas plasma level of miR-338-3p was significantly increased in the HCC patients and negatively correlated with THBS-1 and they showed a highly significant diagnostic value in discriminating HCC. In addition, THBS-1 and miR-338-3p combination displayed higher predictive power than them alone, and addition of miR-338-3p might enhance predictive power of AFP for HCC. Our data showed that THBS-1 and miR-338-3p displayed a highly significant diagnostic value in discriminating between HCC patients and control subjects. Addition of miR-338-3p might enhance the predictive potency of AFP for HCC.
Figure 1
Figure 2
Figure 3
Figure 4
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