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E-GEOD-30285 GSE30285 transcription profiling by array Homo sapiens

Identification of prognostic gene signatures in AML

·Released April 3, 2012 ·Updated June 25, 2012
93
Samples
93
Assays
1
Array Platforms
1
References
Description

Increased expression levels of miR-181 family members have been shown to be associated with favorable outcome in patients with cytogenetically normal acute myeloid leukemia. Here we show that increased expression of miR-181a and miR-181b is also significantly (P < .05; Cox regression) associated with favorable overall survival in cytogenetically abnormal AML (CA-AML) patients. We further show that up-regulation of a gene signature composed of 4 potential miR-181 targets (including HOXA7, HOXA9, HOXA11, and PBX3), associated with down-regulation of miR-181 family members, is an independent predictor of adverse overall survival on multivariable testing in analysis of 183 CA-AML patients. The independent prognostic impact of this 4-homeobox-gene signature was confirmed in a validation set of 271 CA-AML patients. Furthermore, our in vitro and in vivo studies indicated that ectopic expression of miR-181b significantly promoted apoptosis and inhibited viability/proliferation of leukemic cells and delayed leukemogenesis; such effects could be reversed by forced expression of PBX3. Thus, the up-regulation of the 4 homeobox genes resulting from the down-regulation of miR-181 family members probably contribute to the poor prognosis of patients with nonfavorable CA-AML. Restoring expression of miR-181b and/or targeting the HOXA/PBX3 pathways may provide new strategies to improve survival substantially. In addition, this data set has also been used to identify a common prognostic gene signature in human AML (Li Z. et al., unpublished). 93 human AML samples bearing various cytogenetic and molecular abnormalities are used to identify miR-181 target genes and a common prognostic gene signature.

References
Up-regulation of a HOXA-PBX3 homeobox-gene signature following down-regulation of miR-181 is associated with adverse prognosis in patients with cytogenetically abnormal AML.
Li Z, Huang H, Li Y, Jiang X, Chen P, Arnovitz S, Radmacher MD, Maharry K, Elkahloun A, Yang X, He C, He M, Zhang Z, Dohner K, Neilly MB, Price C, Lussier YA, Zhang Y, Larson RA, Le Beau MM, Caligiuri MA, Bullinger L, Valk PJ, Delwel R, Lowenberg B, Liu PP, Marcucci G, Bloomfield CD, Rowley JD, Chen J
PMID: 22251480
Array Platforms
A-AFFY-143
Affymetrix GeneChip Human Exon 1.0 ST Array version 1, [HuEx-1_0-st-v1](93 items)
Sample Attributes
abnormality
inv(16), MLL-AF9, MLL-ENL, t(15;17), t(8;21)
age (yrs)
12, 18, 19, 22, 24, 25, 26, 28, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 62, 63, 65, 68, 70, 74, 9
disease state
acute myeloid leukemia (AML)
Organism
Homo sapiens
sex
female, male
subtype
AML, Bi-Phenotypic, AML-M2, AML-M3, AML-M4, AML-M5a, AML-M5b
tissue source
bone marrow (BM), peripheral blood (PB)
Experiment Info
Accession
E-GEOD-30285
GEO ID
GSE30285
Type
transcription profiling by array
Organism
Homo sapiens
Released
April 3, 2012
Updated
June 25, 2012
Submitter
Lars Bullinger、 Paul P Liu、 Yuanyuan Li、 Janet D Rowley、 Yanming Zhang、 Bob Lowenberg、 Guido Marcucci、 Chunjiang He、 Zejuan Li、 Jianjun Chen、 Clara D Bloomfield、 Michael D Radmacher、 Richard A Larson、 Michelle M Le Beau、 Konstanze Dohner、 Ruud Delwel、 Hao Huang、 Peter J Valk、 chunjiang he、 Stephen Arnovitz、 Ping Chen、 Zhiyu Zhang、 Mary B Neilly、 Xi Jiang、 Xinan Yang、 Chen Shen、 Michael A Caligiuri、 Kati Maharry、 Abdel Elkahloun
Analysis Services
Analysis Services

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