circRNA basic information
circBase ID: hsa_circ_0003028
Name: hsa_circ_FUT8
Synonym: circFUT8 / hsa_circRNA_101368
Host Gene: FUT8
Genomic location(hg19): chr14:66028054-66028484:+
Genomic location(hg38): chr14:65561336-65561766:+
Subcellular localization: not tested
 
 
 
 
 
 
 
Disease basic information
MONDO ID:
0002691
MONDO name: liver cancer
Disease details: liver cancer
Disease DO ID:
3571
Disease MeSH ID:
-
Disease NCIt ID:
C34803
Disease ICD11 ID:
1605020868
Disease OMIM ID:
-
Species: Human
Species details: Homo sapiens
Tissue specimen:

liver cancer tissues; adjacent normal liver tissues

Cell lines:

-

In vivo animal model:

-

circRNA-disease information
Expression pattern:
UP
Associated gene: associated target genes
Associated microRNA: miR-570-3p, miR-17-3p, miR-552-3p
Biological function: Potential diagnostic biomarker of liver cancer; potentially involved in tumor progression through competitive binding of miRNAs and predicted circRNA-miRNA-mRNA regulation.
Molecular mechanism: Predicted ceRNA mechanism involving competitive binding of miR-570-3p, miR-17-3p, and miR-552-3p with downstream target genes.
Biological pathway or process:

p53 signaling (other); angiogenesis (other); cell cycle (other); ceRNA regulation (other); proliferation (other); invasion (other); metastasis (other)

Detected method:
Q
M
Validation methods:

Microarray; RT-qPCR; Clinical Sample Validation; ROC Analysis; Bioinformatics Analysis

Clinical significance:

circFUT8 could significantly distinguish liver cancer samples, with an AUC of 0.7575, and represents a potentially valuable diagnostic biomarker.

Description:

circFUT8 was significantly up-regulated in liver cancer tissues and validated by qRT-PCR. The study predicted that circFUT8 may competitively bind miR-570-3p, miR-17-3p, and miR-552-3p to affect target genes, and ROC analysis suggested diagnostic biomarker potential.

Confidence score:

0.5047

Other information
Title:

Construction and analysis of circular RNA molecular regulatory networks in liver cancer.

Journal: Cell cycle (Georgetown, Tex.)
Published: 2017
PubMed ID: 28727484
Study type:

combined bioinformatics and clinical study

Data availability: CircInteractome (http://circinteractome.nia.nih.gov/)
Code availability: -