loading

Detail Search Results


Basic Information
Disease Name : Malignant glioma
Regulator : HOXA11-AS
Target : miR-140-5p
Clinical application :
Regulator dysregulation in Circulating Tumor Cells :
Target dysregulation in Circulating Tumor Cells :
Regulatory Type : binding/interaction
Level Of Regulation : RNA-RNA
Regulation Direction : negatively-F
Experimental method for lncRNA-target : luciferase reporter assay;RNAi
Expression Pattern : upregulation
Experimental method for lncRNA expression : qPCR
Data Accession :
Influenced Function : tumorigenesis(+)
Regulatory Mechanism : sponge
Drugs :
Cancer Stem Cell :
Hallmark :
Disease Category : Cancer
Disease Name2 : Brain glioma
Regulator Type : lncRNA
Target Type : miRNA
Regulator EnsembleID : ENSG00000240990
Target EnsembleID :
Regulator EntrezID : 221883
Target EntrezID:
RegulatorAlias : HOXA-AS5|HOXA11-AS1|HOXA11AS|HOXA11S|NCRNA00076
TargetAlias :
Regulator Location : GRCh38_7:27184507-27189298
Target Location :
Evidence : Long Noncoding RNA HOXA11-AS Functions as miRNA Sponge to Promote the Glioma tumorigenesis Through Targeting miR-140-5p;Bioinformatics prediction forecast that miR-140-5p directly targeted HOXA11-AS at 3'-UTR, which was confirmed by luciferase reporter assay;In vitro rescue experiment assays, miR-140-5p inhibitor transfection, could reverse the function of HOXA11-AS knockdown on the proliferation, cell cycle arrest, and apoptosis
PubMedID :  28832185
Differential Expression Across TCGA
Cancer Type(Tumour VS Normal) HOXA11-AS miR-140-5p
Mean Expression log2FoldChange FDR Mean Expression log2FoldChange FDR
BLCA(414 vs 19) 5.99644655 -0.646221521 0.123066692 NA NA NA
BRCA(1142 vs 114) 0.585994699 1.413713297 1.53e-14 NA NA NA
CESC(306 vs 3) 4.305793932 -2.464538099 0.039739904 NA NA NA
CHOL(36 vs 9) 0.237821927 2.538278537 0.070345516 NA NA NA
COAD(505 vs 41) 16.70122817 -0.051829466 0.829663877 NA NA NA
ESCA(185 vs 13) 2.966320372 2.383333983 0.000794526 NA NA NA
GBM(170 vs 5) 1.315368863 8.04661709 1.11e-08 NA NA NA
HNSC(522 vs 44) 0.714959673 4.623922516 4.14e-32 NA NA NA
KICH(66 vs 25) 3.39017003 0.861142659 0.044350822 NA NA NA
KIRC(546 vs 72) 0.784804166 -1.316599371 4.43e-13 NA NA NA
KRIP(291 vs 32) 1.891637586 -0.342746437 0.477789077 NA NA NA
LIHC(374 vs 50) 0.246463613 4.949600743 3.73e-22 NA NA NA
LUAD(542 vs 59) 0.372353217 4.008716371 2.51e-17 NA NA NA
LUSC(504 vs 51) 1.301451556 6.235710512 3.91e-70 NA NA NA
PAAD(179 vs 4) 1.223067318 2.87549756 0.157179803 NA NA NA
PCPG(184 vs 3) 0.454624793 -1.880486916 0.328935542 NA NA NA
PRAD(506 vs 52) 57.07931304 0.824046147 5.91e-08 NA NA NA
READ(167 vs 10) 15.29943582 0.18966394 0.754429453 NA NA NA
SARC(263 vs 2) 7.339992625 -1.023868826 0.759376034 NA NA NA
SKCM(472 vs 1) 2.324511658 2.555662817 0.999958931 NA NA NA
STAD(416 vs 37) 3.146020421 3.63825029 3.17e-18 NA NA NA
THCA(513 vs 59) 0.176132299 3.448179082 1.98e-17 NA NA NA
THYM(120 vs 2) 0.077780159 0.403209995 0.937612178 NA NA NA
UCEC(558 vs 35) 6.650659658 -1.237521882 0.000170051 NA NA NA
Boxplot Display

Copyright © 2019 College of Bioinformatics Science and Technology, Harbin Medical University All rights reserved.

黑ICP备2022004059号