Transcriptome Analysis of CELSR2 in HCC

The LinkedOmics database (http://www.linkedomics.org/login.php) is an open access online biometrics platform whose resource comes from 11,158 patients from the TCGA [17 (link)]. In this study, we analyzed genes differentially expressed in correlation with CELSR2 in the TCGA HCC cohort (n = 371), committed to finding and assessing the correlation between genes by Pearson’s correlation coefficient. Similarly, the Web-based GEne SeT AnaLysis Toolkit (WebGestalt) [18 (link)] was then used to perform GO (CC, BP and MF), KEGG pathway, kinase-target enrichment, miRNA-target enrichment and transcription factor-target enrichment analyses of these related genes.

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Xu M., Zhu S., Xu R, & Lin N. (2020). Identification of CELSR2 as a novel prognostic biomarker for hepatocellular carcinoma. BMC Cancer, 20, 313.

Publication 2020

GEne SeT AnaLysis Toolkit

Celsr2 Gene Kinase Mirna Patients Target genes analyses Transcription factor

Corresponding Organization :

Other organizations : Third Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University

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Variable analysis

independent variables

CELSR2

dependent variables

Genes differentially expressed in correlation with CELSR2

control variables

TCGA HCC cohort (n = 371)

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