Entry Detail


General Information

Database ID:exR0316340
RNA Name:hsa-miR-3960
RNA Type:miRNA
Chromosome:chr9
Starnd:+
Coordinate:
Start Site(bp):127785879End Site(bp):127785898
External Links:hsa-miR-3960



Disease Information

Disease Name:Benign Breast Disease
Disease Category:Other Diseases
MeSH ID:D001941
Type:Diseases Category/Skin and Connective Tissue Diseases
Alias:Breast Diseases//Breast Disease//Disease, Breast//Diseases, Breast//Endocrine Breast Diseases//Breast Disease, Endocrine//Breast Diseases, Endocrine//Disease, Endocrine Breast//Diseases, Endocrine Breast//Endocrine Breast Disease



Expression Detail

GEO ID:GSE73002
Description:A circulating microRNA panel to diagnose breast cancer
Experimental Design:Disease vs Control
Case Disease Type:Benign Breast Disease
Case Disease SubType:NA
Case Sample:Benign Breast Disease
Control Sample:Non-Cancer
Number of Case:54
Number of Control:2686
Number of Samples:2740





Regulatory Relationship

mRNA targets:
Gene SymbolChromosomeStart Site(bp)End Site(bp)Strand
ANP32B
chr9
97983341
98015943
+
PPP6C
chr9
125146573
125189939
-
PTMA
chr2
231706895
231713541
+
AC010422.3
chr19
12643831
12648397
-
PPM1G
chr2
27381195
27409591
-
miRNA targets:NA
circRNA targets:NA
lncRNA targets:NA
Display:



Experiment Detail

GEO ID:GSE73002
Sample Source:Blood
Source Fraction:Serum
Platform:GPL18941
Method:Microarray
Num of detected RNA Type:1
Num of detected RNAs of this Type:2512
Sample treatment protocol:NA
RNA Extract protocol:Total RNA was extracted each from 300uL serum samples using 3D-Gene® RNA extraction reagent from liquid sample kit (Toray Industries, Inc.).
RNA library preparation protocol:miRNA was labeled using 3D-Gene® miRNA Labeling kit in accordance with the manufacturer's instructions.



Reference

PMID:26749252
Title:Novel combination of serum microRNA for detecting breast cancer in the early stage
Author:Shimomura A, Shiino S, Kawauchi J, Takizawa S, Sakamoto H, Matsuzaki J, Ono M, Takeshita F, Niida S, Shimizu C, Fujiwara Y, Kinoshita T, Tamura K, Ochiya T
Journal:Cancer Sci. 2016 Mar;107(3):326-34.
Description:we examined the expression profiles of serum miRNA in several large cohorts to identify novel miRNA that can be used to detect early stage breast cancer.