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CLEC3B as a Potential Prognostic Biomarker in Hepatocellular Carcinoma.


ABSTRACT: C-Type Lectin Domain Family 3 Member B (CLEC3B) encodes proteins associated with tumor invasion and metastasis. However, the interrelation between CLEC3B gene expression, tumor immunity, and prognosis of patients with hepatocellular carcinoma (HCC) is unclear. This study was conducted to investigate the prognostic potential of CLEC3B and its association with tumor tissue infiltration markers. CLEC3B expression was examined using the TIMER and Oncomine databases, with its prognostic potential assessed using the GEPIA and Kaplan-Meier plotter databases. The relationship between CLEC3B and tumor immune cell infiltration biomarkers was analyzed using TIMER. Here, we revealed that CLEC3B expression was decreased in HCC and was correlated with a poor survival rate in patients with HCC. Additionally, the expression of CLEC3B was negatively correlated with differential immune cell infiltration and various immune biomarkers. These results indicate a potential mechanism by which the expression of CLEC3B might adjust tumor immunity by modulating the infiltration of HCC immune cells. Our study demonstrated that CLEC3B could be a potential prognostic biomarker and might be involved in tumor immune cell infiltration in HCC.

SUBMITTER: Xie XW 

PROVIDER: S-EPMC7855974 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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CLEC3B as a Potential Prognostic Biomarker in Hepatocellular Carcinoma.

Xie Xing-Wei XW   Jiang Shan-Shan SS   Li Xiang X  

Frontiers in molecular biosciences 20210120


C-Type Lectin Domain Family 3 Member B (CLEC3B) encodes proteins associated with tumor invasion and metastasis. However, the interrelation between <i>CLEC3B</i> gene expression, tumor immunity, and prognosis of patients with hepatocellular carcinoma (HCC) is unclear. This study was conducted to investigate the prognostic potential of <i>CLEC3B</i> and its association with tumor tissue infiltration markers. <i>CLEC3B</i> expression was examined using the TIMER and Oncomine databases, with its pro  ...[more]

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