Mining Prognostic Biomarkers of Hepatocellular Carcinoma Based on Immune-Associated Genes.


:This research aims to investigate the immune-associated gene signature from databases to improve the prognostic value in hepatocellular carcinoma (HCC) by multidimensional methods using various bioinformatic methods. Fifty-one immune-associated genes were mined out, which were associated with clinical characters through univariate and multivariate Cox regression analyses, and 51 immune-associated genes could be well-divided HCC samples into high-risk and low-risk clusters. Next, we performed least absolute shrinkage and selection operator (LASSO) Cox regression method to reveal 18 immune-associated genes' signature and calculate risk score of each gene for receiver operating characteristic (ROC) analysis. Comparing with low-risk cluster, high-risk cluster had higher risk score with unfavorable prognosis. Then, multivariate Cox regression analysis showed that risk score of 18 immune-associated genes' signature was associated with tumor invasion and tumor-node-metastasis (TNM) stage. ROC analysis indicated combined TNM stage, and risk score performed more sensitive and specific than single TNM stage or risk score in survival prediction. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis found that the pathways enriched in tumorigenesis were related to risk score, and those pathways could separate HCC samples into high and low clusters. In addition, the survival prediction of 18 immune-associated genes' signature was well validated in independent test data set, external data set, and Real-time Quantitative PCR (RT-qPCR) experiment. The 18 immune-associated genes' signature was constructed, which could be used in effective prediction of HCC prognosis.


DNA Cell Biol


DNA and cell biology


Chen W,Tang D,Ou M,Dai Y




Has Abstract


2020-04-01 00:00:00












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    journal_title:DNA and cell biology

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    authors: Lu CK,Lai YC,Chen HR,Chiang MK

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    journal_title:DNA and cell biology

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    authors: Konermann C,Kresse A,Beuter-Gunia C,Würthner J,Degrandi D,Pfeffer K,Beer S

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  • Sox9 Functions as a Master Regulator of Antler Growth by Controlling Multiple Cell Lineages.

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    journal_title:DNA and cell biology

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    authors: Yao B,Zhang M,Liu M,Wang Q,Liu M,Zhao Y

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    journal_title:DNA and cell biology

    pub_type: 杂志文章


    authors: Dickinson DP,Thiesse M,Hicks MJ

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    journal_title:DNA and cell biology

    pub_type: 杂志文章


    authors: Huang H,Keohavong P

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    journal_title:DNA and cell biology

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    authors: Doran J,Strauss WM

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    authors: Kassem AM,El-Guendy N,Tantawy M,Abdelhady H,El-Ghor A,Abdel Wahab AH

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    pub_type: 杂志文章


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    authors: Gong X,Hou L,Bai C,Jin D,He X,Guan W,Ma Y

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    pub_type: 杂志文章


    authors: Hasnain SE,Nakhai B,Ehtesham NZ,Sridhar P,Ranjan A,Talwar GP,Jha PK

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    pub_type: 杂志文章,评审


    authors: Guo J,Wang H,Hu X

    更新日期:2013-10-01 00:00:00

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    journal_title:DNA and cell biology

    pub_type: 杂志文章


    authors: Ahn WS,Huh SW,Bae SM,Lee IP,Lee JM,Namkoong SE,Kim CK,Sin JI

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    journal_title:DNA and cell biology

    pub_type: 杂志文章,评审


    authors: Song W,Xie J,Li J,Bao C,Xiao Y

    更新日期:2020-06-01 00:00:00

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    journal_title:DNA and cell biology

    pub_type: 杂志文章,评审


    authors: Burton EA,Fink DJ,Glorioso JC

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