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Table 1 AML gene expression datasets used to prioritize the gene expression signatures

From: Development and validation of GMI signature based random survival forest prognosis model to predict clinical outcome in acute myeloid leukemia

Data Set

Country

Control group

Experimental Group

Author

Title

Journal

Reference

GSE14924

United Kingdom

21

20

(Le et al. 2009)

Peripheral blood T cells in acute myeloid leukemia (AML) patients at diagnosis have abnormal phenotype and genotype and form defective immune synapses with AML blasts

Blood

[21]

GSE68172

Germany

5

72

(Schneider et al. 2015)

Leukemic progenitor cells are susceptible to targeting by stimulated cytotoxic T cells against immunogenic leukemia-associated antigens

International Journal of Cancer

[22]

GSE84881

Germany

4

19

(Ek et al. 2016)

Molecular alterations in bone marrow mesenchymal stromal cells derived from acute myeloid leukemia patients

Leukemia

[23]

GSE14858

Italy

20

20

(Bresolin et al. 2010)

Gene expression-based classification as an independent predictor of clinical outcome in juvenile myelomonocytic leukemia

Journal of Clinical Oncology

[24]

GSE12662

USA

15

91

(Payton et al. 2009)

High throughput digital quantification of mRNA abundance in primary human acute myeloid leukemia samples

Journal of Clinical Investigation

[25]

GSE10746

USA

3

8

(Mougeot et al. 2011)

Microarray analyses of oral punch biopsies from acute myeloid leukemia (AML) patients treated with chemotherapy

Oral Surgery Oral Medicine Oral Pathology Oral Radiology & Endodontology

[26]

GSE17054

USA

4

9

(Majeti et al. 2009)

Dysregulated gene expression networks in human acute myelogenous leukemia stem cells

Proceedings of the National Academy of Sciences of the United States of America

[27]

GSE8023

USA

3

9

(Krejci et al. 2008)

p53 signaling in response to increased DNA damage sensitizes AML1-ETO cells to stress-induced death

Blood

[28]

GSE17061

Netherlands

0

35

(Silva et al. 2009)

Gene expression profiling of minimally differentiated acute myeloid leukemia: M0 is a distinct entity subdivided by RUNX1 mutation status

Blood

[29]

GSE70124

Germany

0

46

(Papaemmanuil et al. 2016)

Genomic Classification and Prognosis in Acute Myeloid Leukemia

New England Journal of Medicine

[14]

GSE10258

Austria

0

15

(Zatkova et al. 2009)

AML/MDS with 11q/MLL amplification show characteristic gene expression signature and interplay of DNA copy number changes

Genes Chromosomes & Cancer

[30]

GSE35159

Japan

0

12

(Saito et al. 2011)

CD52 as a molecular target for immunotherapy to treat acute myeloid leukemia with high EVI1 expression

Leukemia

[31]

GSE50928

France

0

13

(Khaznadar et al. 2015)

Defective NK Cells in Acute Myeloid Leukemia Patients at Diagnosis Are Associated with Blast Transcriptional Signatures of Immune Evasion

Journal of Immunology

[32]

GSE34885

France

0

14

(Khaznadar et al. 2015)

Defective NK Cells in Acute Myeloid Leukemia Patients at Diagnosis Are Associated with Blast Transcriptional Signatures of Immune Evasion

Journal of Immunology

[32]

GSE52891

Netherlands

0

23

(Bachas et al. 2015)

Gene Expression Profiles Associated with Pediatric Relapsed AML

Plos One

[33]

GSE22056

Netherlands

0

98

(de Jonge et al. 2010)

High VEGFC expression is associated with unique gene expression profiles and predicts adverse prognosis in pediatric and adult acute myeloid leukemia

Blood

[34]

GSE59808

USA

0

32

(Guo et al. 2014)

PIM inhibitors target CD25-positive AML cells through concomitant suppression of STAT5 activation and degradation of MYC oncogene

Blood

[35]

GSE12326

China

0

10

(Cheung et al. 2009)

A comparative study of bone marrow and peripheral blood CD34+ myeloblasts in acute myeloid leukaemia

British Journal of Haematology

[36]

GSE44857

United Kingdom

0

18

(Leonard et al. 2014)

Sequential Treatment with Cytarabine and Decitabine Has an Increased Anti-Leukemia Effect Compared to Cytarabine Alone in Xenograft Models of Childhood Acute Myeloid Leukemia

Plos One

[37]

GSE30903

Italy

0

24

(Salvestrini et al. 2012)

Purinergic signaling inhibits human acute myeloblastic leukemia cell proliferation, migration, and engraftment in immunodeficient mice

Blood

[38]

GSE22845

Netherlands

0

154

(Taskesen et al. 2011)

Prognostic impact, concurrent genetic mutations, and gene expression features of AML with CEBPA mutations in a cohort of 1182 cytogenetically normal AML patients: further evidence for CEBPA double mutant AML as a distinctive disease entity

Blood

[39]

GSE18018

USA

0

19

(Falini et al. 2010)

Multilineage dysplasia has no impact on biologic, clinicopathologic, and prognostic features of AML with mutated nucleophosmin (NPM1)

Blood

[40]

GSE21261

USA

0

79

(Miesner et al. 2010)

Multilineage dysplasia (MLD) in acute myeloid leukemia (AML) correlates with MDS-related cytogenetic abnormalities and a prior history of MDS or MDS/MPN but has no independent prognostic relevance: a comparison of 408 cases classified as “AML not otherwise specified” (AML-NOS) or “AML with myelodysplasia-related changes” (AML-MRC)

Blood

[41]

GSE56237

Denmark

0

10

(Mora-Jensen et al. 2015)

Cellular origin of prognostic chromosomal aberrations in AML patients

Leukemia

[42]

GSE30442

USA

0

11

(Grossmann et al. 2011)

Whole-exome sequencing identifies somatic mutations of BCOR in acute myeloid leukemia with normal karyotype

Blood

[43]