Search ENG in pancancer (All cancer types)

Summary
SymbolENG
Nameendoglin
Location9q34.11
Locus Groupprotein-coding gene
Entrez GeneID2022
AliasesEND|HHT1|CD105
External LinksEnsembl, HGNC, Uniprot

CpGs located in ENG

 

 Group: different genomic regions, including TSS1500, TSS200, 5'UTR, 1stExon and 3'UTR
         TSS200: region from -200 nt upstream to the transcription start site (TSS) itself
         TSS1500: sequence region from -200 to -1,500 nt upstream of the TSS
         1stExon: the first exon
         Body: gene body region

 Relation To Island: CpG island, CpG island shores (2 kb regions upstream and downstream of the CpG islands) and shelves (2 kb regions upstream and downstream of the CpG island shores)
         CpG island (CGI): 200bp in length, GC percentage >50%, Observed/expected CpG ratio >60%
         Shore: Up to 2kb from CpG island, including N_shore (0-2 kb upstream from CGI) and S_shore (0-2 kb downstream from CGI)
         Shelf: 2-4 kb from CpG island, including N_shelf (2-4 kb upstream from CGI) and S_shelf (2-4 kb downstream from CGI)
         Open Sea: Isolated CpGs in the genome
 Differentially methylated genes (promoter region).

Differentially Methylated Genes for ENG in pancancer

 

Definition of differentially methylated genes: |difference|>0.2 & indepedent Student's t-test adjusted p-value <= 0.05, Hypermethylation: beta difference > 0.2 & adjusted p-value<=0.05, Hypomethylation: beta difference < -0.2 & adjusted p-value<=0.05



 Pearson and Spearman correlation between methylation of gene promoter and FPKM is calculated.

Methylation-Expression correlation for ENG in pancancer

 


 Functional Epigenetic Modules (FEM) of protein-protein interactions (PPI) are calculated by FEM algorithm.

Functional Epigenetic Modules involving ENG in pancancer

 

FEM was generated by FEM algorithm



The statistic (stat(DNAm)) and P-value (P(DNAm)) of differential methylation,
the statistic (stat(mRNA)) and P-value (P(mRNA)) of differential expression and the overall statistic stat(Int)
are provided in the table.

 Functional Epigenetic Modules (FEM) of Co-Occurrence and Mutual Exclusive (COME) network for genes are calculated by FEM algorithm, and COME is detected by DISCOVER (Discrete Independence Statistic Controlling for Observations with Varying Event Rates) algorithm.

Functional Epigenetic Modules involving ENG in pancancer

 

FEM was generated by FEM algorithm



The statistic (stat(DNAm)) and P-value (P(DNAm)) of differential methylation,
the statistic (stat(mRNA)) and P-value (P(mRNA)) of differential expression and the overall statistic stat(Int)
are provided in the table.

 Kaplan-Meier survival analysis.

Show records that are significant in pancancer

 

There are two different ways to divide samples into different groups.
(1) Using median DNA methylation beta values as threshold to divide samples into High and Low group.
(2) Using DNA methylation beta values of 0.3 and 0.7 as cutoff to divide samples into Low, Middle and High groups.

There are three different endpoint.
(1) OS: Overall Survival time.
(1) DFI: Disease-free Interval.
(1) PFI: Progression-free Interval.
P-value is calculated with Log rank test




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Citation: [1] Ding, Wubin, Geng Chen, and Tieliu Shi. "Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis." Epigenetics 14.1 (2019): 67-80.[ Full Text ]

Citation: [2] Wubin Ding, Jiwei Chen, Guoshuang Feng, Geng Chen, Jun Wu, Yongli Guo, Xin Ni, Tieliu Shi, DNMIVD: DNA methylation interactive visualization database, Nucleic Acids Research, 48(D1), D856-D862.[ Full Text ]

Citation: [3] Ding, W., Feng, G., Hu, Y., Chen, G., & Shi, T. (2020). Co-occurrence and mutual exclusivity analysis of DNA methylation reveals distinct subtypes in multiple cancers. Frontiers in cell and developmental biology, 8, 20.[ Full Text ]