Gene expression profiling of acute myeloid leukemia samples from adult patients with AML-M1 and -M2 through boutique microarrays, real-time PCR and droplet digital PCR
- PMID: 29286103
- PMCID: PMC5807040
- DOI: 10.3892/ijo.2017.4233
Gene expression profiling of acute myeloid leukemia samples from adult patients with AML-M1 and -M2 through boutique microarrays, real-time PCR and droplet digital PCR
Abstract
Acute myeloid leukemia (AML) is the most common and severe form of acute leukemia diagnosed in adults. Owing to its heterogeneity, AML is divided into classes associated with different treatment outcomes and specific gene expression profiles. Based on previous studies on AML, in this study, we designed and generated an AML-array containing 900 oligonucleotide probes complementary to human genes implicated in hematopoietic cell differentiation and maturation, proliferation, apoptosis and leukemic transformation. The AML-array was used to hybridize 118 samples from 33 patients with AML of the M1 and M2 subtypes of the French-American‑British (FAB) classification and 15 healthy volunteers (HV). Rigorous analysis of the microarray data revealed that 83 genes were differentially expressed between the patients with AML and the HV, including genes not yet discussed in the context of AML pathogenesis. The most overexpressed genes in AML were STMN1, KITLG, CDK6, MCM5, KRAS, CEBPA, MYC, ANGPT1, SRGN, RPLP0, ENO1 and SET, whereas the most underexpressed genes were IFITM1, LTB, FCN1, BIRC3, LYZ, ADD3, S100A9, FCER1G, PTRPE, CD74 and TMSB4X. The overexpression of the CPA3 gene was specific for AML with mutated NPM1 and FLT3. Although the microarray-based method was insufficient to differentiate between any other AML subgroups, quantitative PCR approaches enabled us to identify 3 genes (ANXA3, S100A9 and WT1) whose expression can be used to discriminate between the 2 studied AML FAB subtypes. The expression levels of the ANXA3 and S100A9 genes were increased, whereas those of WT1 were decreased in the AML-M2 compared to the AML-M1 group. We also examined the association between the STMN1, CAT and ABL1 genes, and the FLT3 and NPM1 mutation status. FLT3+/NPM1- AML was associated with the highest expression of STMN1, and ABL1 was upregulated in FLT3+ AML and CAT in FLT3- AML, irrespectively of the NPM1 mutation status. Moreover, our results indicated that CAT and WT1 gene expression levels correlated with the response to therapy. CAT expression was highest in patients who remained longer under complete remission, whereas WT1 expression increased with treatment resistance. On the whole, this study demonstrates that the AML-array can potentially serve as a first-line screening tool, and may be helpful for the diagnosis of AML, whereas the differentiation between AML subgroups can be more successfully performed with PCR-based analysis of a few marker genes.
Conflict of interest statement
The authors declare that they have no competing interests.
Figures






Similar articles
-
Single nucleotide polymorphism in the mutational hotspot of WT1 predicts a favorable outcome in patients with cytogenetically normal acute myeloid leukemia.J Clin Oncol. 2010 Feb 1;28(4):578-85. doi: 10.1200/JCO.2009.23.0342. Epub 2009 Dec 28. J Clin Oncol. 2010. PMID: 20038731
-
Use of Wilms Tumor 1 Gene Expression as a Reliable Marker for Prognosis and Minimal Residual Disease Monitoring in Acute Myeloid Leukemia With Normal Karyotype Patients.Clin Lymphoma Myeloma Leuk. 2017 May;17(5):312-319. doi: 10.1016/j.clml.2016.12.006. Epub 2017 Jan 11. Clin Lymphoma Myeloma Leuk. 2017. PMID: 28163010
-
Favorable prognostic impact of NPM1 mutations in older patients with cytogenetically normal de novo acute myeloid leukemia and associated gene- and microRNA-expression signatures: a Cancer and Leukemia Group B study.J Clin Oncol. 2010 Feb 1;28(4):596-604. doi: 10.1200/JCO.2009.25.1496. Epub 2009 Dec 21. J Clin Oncol. 2010. PMID: 20026798 Free PMC article.
-
Gene expression profiling in acute myeloid leukaemia.Neth J Med. 2011 Apr;69(4):167-76. Neth J Med. 2011. PMID: 21527803 Review.
-
Genes predictive of outcome and novel molecular classification schemes in adult acute myeloid leukemia.Cancer Treat Res. 2010;145:67-83. doi: 10.1007/978-0-387-69259-3_5. Cancer Treat Res. 2010. PMID: 20306246 Review.
Cited by
-
CRNDE enhances the expression of MCM5 and proliferation in acute myeloid leukemia KG-1a cells by sponging miR-136-5p.Sci Rep. 2021 Aug 18;11(1):16755. doi: 10.1038/s41598-021-96156-3. Sci Rep. 2021. PMID: 34408205 Free PMC article.
-
Weighted gene correlation network analysis identifies microenvironment-related genes signature as prognostic candidate for Grade II/III glioma.Aging (Albany NY). 2020 Nov 7;12(21):22122-22138. doi: 10.18632/aging.104075. Epub 2020 Nov 7. Aging (Albany NY). 2020. PMID: 33186124 Free PMC article.
-
Identification of an Immune-Related Gene Signature Based on Immunogenomic Landscape Analysis to Predict the Prognosis of Adult Acute Myeloid Leukemia Patients.Front Oncol. 2020 Nov 20;10:574939. doi: 10.3389/fonc.2020.574939. eCollection 2020. Front Oncol. 2020. PMID: 33330048 Free PMC article.
-
Association between the CEBPA and c-MYC genes expression levels and acute myeloid leukemia pathogenesis and development.Med Oncol. 2020 Nov 10;37(12):109. doi: 10.1007/s12032-020-01436-z. Med Oncol. 2020. PMID: 33170359 Free PMC article.
-
Diagnostic value of procalcitonin and hemocyte parameters in neonates with bloodstream infection: Role of activated hemocyte-related genes.Pediatr Discov. 2024 May 23;2(4):e56. doi: 10.1002/pdi3.56. eCollection 2024 Dec. Pediatr Discov. 2024. PMID: 40626122 Free PMC article.
References
-
- Döhner H, Estey EH, Amadori S, Appelbaum FR, Büchner T, Burnett AK, Dombret H, Fenaux P, Grimwade D, Larson RA, et al. European LeukemiaNet Diagnosis and management of acute myeloid leukemia in adults: Recommendations from an international expert panel, on behalf of the European LeukemiaNet. Blood. 2010;115:453–474. doi: 10.1182/blood-2009-07-235358. - DOI - PubMed
-
- Vardiman JW, Thiele J, Arber DA, Brunning RD, Borowitz MJ, Porwit A, Harris NL, Le Beau MM, Hellström-Lindberg E, Tefferi A, et al. The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: Rationale and important changes. Blood. 2009;114:937–951. doi: 10.1182/blood-2009-03-209262. - DOI - PubMed
-
- Döhner H. Hematology Am Soc Hematol Educ Program. Washington, DC: 2007. Implication of the molecular characterization of acute myeloid leukemia; pp. 412–419. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Molecular Biology Databases
Miscellaneous