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Benso A, Di Carlo S, Politano G, Savino A, Hafeezurrehman H. Building gene expression profile classifiers with a simple and efficient rejection option in R. BMC Bioinformatics 2011; 12 Suppl 13:S3. [PMID: 22373214 PMCID: PMC3278843 DOI: 10.1186/1471-2105-12-s13-s3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The collection of gene expression profiles from DNA microarrays and their analysis with pattern recognition algorithms is a powerful technology applied to several biological problems. Common pattern recognition systems classify samples assigning them to a set of known classes. However, in a clinical diagnostics setup, novel and unknown classes (new pathologies) may appear and one must be able to reject those samples that do not fit the trained model. The problem of implementing a rejection option in a multi-class classifier has not been widely addressed in the statistical literature. Gene expression profiles represent a critical case study since they suffer from the curse of dimensionality problem that negatively reflects on the reliability of both traditional rejection models and also more recent approaches such as one-class classifiers. RESULTS This paper presents a set of empirical decision rules that can be used to implement a rejection option in a set of multi-class classifiers widely used for the analysis of gene expression profiles. In particular, we focus on the classifiers implemented in the R Language and Environment for Statistical Computing (R for short in the remaining of this paper). The main contribution of the proposed rules is their simplicity, which enables an easy integration with available data analysis environments. Since in the definition of a rejection model tuning of the involved parameters is often a complex and delicate task, in this paper we exploit an evolutionary strategy to automate this process. This allows the final user to maximize the rejection accuracy with minimum manual intervention. CONCLUSIONS This paper shows how the use of simple decision rules can be used to help the use of complex machine learning algorithms in real experimental setups. The proposed approach is almost completely automated and therefore a good candidate for being integrated in data analysis flows in labs where the machine learning expertise required to tune traditional classifiers might not be available.
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Affiliation(s)
- Alfredo Benso
- Control and Computer Engineering Department, Politecnico di Torino, Corso Duca degli Abruzzi 24,10129, Torino, Italy
| | - Stefano Di Carlo
- Control and Computer Engineering Department, Politecnico di Torino, Corso Duca degli Abruzzi 24,10129, Torino, Italy
| | - Gianfranco Politano
- Control and Computer Engineering Department, Politecnico di Torino, Corso Duca degli Abruzzi 24,10129, Torino, Italy
| | - Alessandro Savino
- Control and Computer Engineering Department, Politecnico di Torino, Corso Duca degli Abruzzi 24,10129, Torino, Italy
| | - Hafeez Hafeezurrehman
- Control and Computer Engineering Department, Politecnico di Torino, Corso Duca degli Abruzzi 24,10129, Torino, Italy
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Abstract
Core-binding factor acute myeloid leukemia (AML) is cytogenetically defined by the presence of t(8;21)(q22;q22) or inv(16)(p13q22)/t(16;16)(p13;q22), commonly abbreviated as t(8;21) and inv(16), respectively. In both subtypes, the cytogenetic rearrangements disrupt genes that encode subunits of core-binding factor, a transcription factor that functions as an essential regulator of normal hematopoiesis. The rearrangements t(8;21) and inv(16) involve the RUNX1/RUNX1T1 (AML1-ETO) and CBFB/MYH11 genes, respectively. These 2 subtypes are categorized as AML with recurrent genetic abnormalities, and hence the cytogenetic fusion transcripts are considered diagnostic of acute leukemia even when the marrow blast count is less than 20%. The t(8;21) and inv(16) subtypes of AML have been usually grouped and reported together in clinical studies; however, recent studies have demonstrated genetic, clinical, and prognostic differences, supporting the notion that they represent 2 distinct biologic and clinical entities. This review summarizes the spectrum of this subset of AMLs, with particular emphasis on molecular genetics and pathologic findings.
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Lück SC, Russ AC, Botzenhardt U, Paschka P, Schlenk RF, Döhner H, Fulda S, Döhner K, Bullinger L. Deregulated apoptosis signaling in core-binding factor leukemia differentiates clinically relevant, molecular marker-independent subgroups. Leukemia 2011; 25:1728-38. [PMID: 21701487 DOI: 10.1038/leu.2011.154] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Core-binding factor (CBF) leukemias, characterized by translocations t(8;21) or inv(16)/t(16;16) targeting the CBF, constitute acute myeloid leukemia (AML) subgroups with favorable prognosis. However, about 40% of patients relapse and the current classification system does not fully reflect this clinical heterogeneity. Previously, gene expression profiling (GEP) revealed two distinct CBF leukemia subgroups displaying significant outcome differences and identified apoptotic signaling, MAPKinase signaling and chemotherapy-resistance mechanisms among the most significant differentially regulated pathways. We now tested different inhibitors of the respective pathways in a cell line model (six cell lines reflecting the CBF subgroup-specific gene expression alterations), and found apoptotic signaling to be differentiating between the CBF subgroup models. In accordance, primary samples from newly diagnosed CBF AML patients (n=23) also showed differential sensitivity to in vitro treatment with a Smac mimetic such as BV6, an antagonist of inhibitor of apoptosis (IAP) proteins, and ABT-737, a BCL2 inhibitor. Furthermore, GEP revealed the BV6-resistant cases to resemble the previously identified unfavorable CBF subgroup. Thus, our current findings show deregulated IAP expression and apoptotic signaling to differentiate clinically relevant CBF subgroups, which were independent of known molecular markers, thereby providing a starting point for novel therapeutic approaches.
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Affiliation(s)
- S C Lück
- Department of Internal Medicine III, University Hospital Ulm, Ulm, Germany
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54
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Acute myeloid leukemia with the t(8;21) translocation: clinical consequences and biological implications. J Biomed Biotechnol 2011; 2011:104631. [PMID: 21629739 PMCID: PMC3100545 DOI: 10.1155/2011/104631] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2010] [Revised: 01/31/2011] [Accepted: 02/22/2011] [Indexed: 12/20/2022] Open
Abstract
The t(8;21) abnormality occurs in a minority of acute myeloid leukemia (AML) patients. The translocation results in an in-frame fusion of two genes, resulting in a fusion protein of one N-terminal domain from the AML1 gene and four C-terminal domains from the ETO gene. This protein has multiple effects on the regulation of the proliferation, the differentiation, and the viability of leukemic cells. The translocation can be detected as the only genetic abnormality or as part of more complex abnormalities. If t(8;21) is detected in a patient with bone marrow pathology, the diagnosis AML can be made based on this abnormality alone. t(8;21) is usually associated with a good prognosis. Whether the detection of the fusion gene can be used for evaluation of minimal residual disease and risk of leukemia relapse remains to be clarified. To conclude, detection of t(8;21) is essential for optimal handling of these patients as it has both diagnostic, prognostic, and therapeutic implications.
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55
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Benso A, Di Carlo S, Politano G. A cDNA microarray gene expression data classifier for clinical diagnostics based on graph theory. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2011; 8:577-591. [PMID: 20855919 DOI: 10.1109/tcbb.2010.90] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Despite great advances in discovering cancer molecular profiles, the proper application of microarray technology to routine clinical diagnostics is still a challenge. Current practices in the classification of microarrays' data show two main limitations: the reliability of the training data sets used to build the classifiers, and the classifiers' performances, especially when the sample to be classified does not belong to any of the available classes. In this case, state-of-the-art algorithms usually produce a high rate of false positives that, in real diagnostic applications, are unacceptable. To address this problem, this paper presents a new cDNA microarray data classification algorithm based on graph theory and is able to overcome most of the limitations of known classification methodologies. The classifier works by analyzing gene expression data organized in an innovative data structure based on graphs, where vertices correspond to genes and edges to gene expression relationships. To demonstrate the novelty of the proposed approach, the authors present an experimental performance comparison between the proposed classifier and several state-of-the-art classification algorithms.
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Affiliation(s)
- Alfredo Benso
- Control and Computer Engineering Department, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129, Torino, Italy.
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56
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Otto N, Manukjan G, Göhring G, Hofmann W, Scherer R, Luna JC, Lehmann U, Ganser A, Welte K, Schlegelberger B, Steinemann D. ICSBP promoter methylation in myelodysplastic syndromes and acute myeloid leukaemia. Leukemia 2011; 25:1202-7. [PMID: 21475251 DOI: 10.1038/leu.2011.61] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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57
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Odenike O, Thirman MJ, Artz AS, Godley LA, Larson RA, Stock W. Gene Mutations, Epigenetic Dysregulation, and Personalized Therapy in Myeloid Neoplasia: Are We There Yet? Semin Oncol 2011; 38:196-214. [DOI: 10.1053/j.seminoncol.2011.01.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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58
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Theilgaard-Mönch K, Boultwood J, Ferrari S, Giannopoulos K, Hernandez-Rivas JM, Kohlmann A, Morgan M, Porse B, Tagliafico E, Zwaan CM, Wainscoat J, Van den Heuvel-Eibrink MM, Mills K, Bullinger L. Gene expression profiling in MDS and AML: potential and future avenues. Leukemia 2011; 25:909-20. [PMID: 21445077 DOI: 10.1038/leu.2011.48] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Today, the classification systems for myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) already incorporate cytogenetic and molecular genetic aberrations in an attempt to better reflect disease biology. However, in many MDS/AML patients no genetic aberrations have been identified yet, and even within some cytogenetically well-defined subclasses there is considerable clinical heterogeneity. Recent advances in genomics technologies such as gene expression profiling (GEP) provide powerful tools to further characterize myeloid malignancies at the molecular level, with the goal to refine the MDS/AML classification system, incorporating as yet unknown molecular genetic and epigenetic pathomechanisms, which are likely reflected by aberrant gene expression patterns. In this study, we provide a comprehensive review on how GEP has contributed to a refined molecular taxonomy of MDS and AML with regard to diagnosis, prediction of clinical outcome, discovery of novel subclasses and identification of novel therapeutic targets and novel drugs. As many challenges remain ahead, we discuss the pitfalls of this technology and its potential including future integrative studies with other genomics technologies, which will continue to improve our understanding of malignant transformation in myeloid malignancies and thereby contribute to individualized risk-adapted treatment strategies for MDS and AML patients.
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Affiliation(s)
- K Theilgaard-Mönch
- Biotech Research and Innovation Centre & Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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59
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Chen W, Drakos E, Grammatikakis I, Schlette EJ, Li J, Leventaki V, Staikou-Drakopoulou E, Patsouris E, Panayiotidis P, Medeiros LJ, Rassidakis GZ. mTOR signaling is activated by FLT3 kinase and promotes survival of FLT3-mutated acute myeloid leukemia cells. Mol Cancer 2010; 9:292. [PMID: 21067588 PMCID: PMC2993677 DOI: 10.1186/1476-4598-9-292] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2010] [Accepted: 11/10/2010] [Indexed: 11/10/2022] Open
Abstract
Activating mutations of the FLT3 gene mediate leukemogenesis, at least in part, through activation of PI3K/AKT. The mammalian target of rapamycin (mTOR)-Raptor signaling pathway is known to act downstream of AKT. Here we show that the mTOR effectors, 4EBP1, p70S6K and rpS6, are highly activated in cultured and primary FLT3-mutated acute myeloid leukemia (AML) cells. Introduction of FLT3-ITD expressing constitutively activated FLT3 kinase further activates mTOR and its downstream effectors in BaF3 cells. We also found that mTOR signaling contributes to tumor cell survival, as demonstrated by pharmacologic inhibition of PI3K/AKT/mTOR, or total silencing of the mTOR gene. Furthermore, inhibition of FLT3 kinase results in downregulation of mTOR signaling associated with decreased survival of FLT3-mutated AML cells. These findings suggest that mTOR signaling operates downstream of activated FLT3 kinase thus contributing to tumor cell survival, and may represent a promising therapeutic target for AML patients with mutated-FLT3.
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Affiliation(s)
- Weina Chen
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd, Houston, Texas 77030, USA
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60
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Rücker FG, Bullinger L, Gribov A, Sill M, Schlenk RF, Lichter P, Döhner H, Döhner K. Molecular characterization of AML with ins(21;8)(q22;q22q22) reveals similarity to t(8;21) AML. Genes Chromosomes Cancer 2010; 50:51-8. [DOI: 10.1002/gcc.20830] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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61
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Fortier JM, Payton JE, Cahan P, Ley TJ, Walter MJ, Graubert TA. POU4F1 is associated with t(8;21) acute myeloid leukemia and contributes directly to its unique transcriptional signature. Leukemia 2010; 24:950-7. [PMID: 20376082 PMCID: PMC2868953 DOI: 10.1038/leu.2010.61] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The t(8;21)(q22;q22) translocation, present in ~5% of adult acute myeloid leukemia (AML) cases, produces the AML1/ETO fusion protein. Dysregulation of the POU domain-containing transcription factor POU4F1 is a recurring abnormality in t(8;21) AML. Here, we show that POU4F1 over-expression is highly correlated with, but not caused by AML1/ETO. AML1/ETO markedly increases the self-renewal capacity of myeloid progenitors from murine bone marrow or fetal liver and drives expansion of these cells in liquid culture. POU4F1 is neither necessary nor sufficient for these AML1/ETO-dependent properties, suggesting that it contributes to leukemia through novel mechanisms. To identify targets of POU4F1, we performed gene expression profiling in primary mouse cells with genetically defined levels of POU4F1 and identified 140 differentially expressed genes. This expression signature was significantly enriched in human t(8;21) AML samples and was sufficient to cluster t(8;21) AML samples in an unsupervised hierarchical analysis. Among the most highly differentially expressed genes, half are known AML1/ETO targets, implying that the unique transcriptional signature of t(8;21) AML is, in part, attributable to POU4F1 and not AML1/ETO itself. These genes provide novel candidates for understanding the biology and developing therapeutic approaches for t(8;21) AML.
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Affiliation(s)
- J M Fortier
- Department of Internal Medicine, Division of Oncology, Stem Cell Biology Section, Washington University, St Louis, MO 63110, USA
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62
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Miller BG, Stamatoyannopoulos JA. Integrative meta-analysis of differential gene expression in acute myeloid leukemia. PLoS One 2010; 5:e9466. [PMID: 20209125 PMCID: PMC2830886 DOI: 10.1371/journal.pone.0009466] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2010] [Accepted: 02/10/2010] [Indexed: 11/30/2022] Open
Abstract
Background Acute myeloid leukemia (AML) is a heterogeneous disease with an overall poor prognosis. Gene expression profiling studies of patients with AML has provided key insights into disease pathogenesis while exposing potential diagnostic and prognostic markers and therapeutic targets. A systematic comparison of the large body of gene expression profiling studies in AML has the potential to test the extensibility of conclusions based on single studies and provide further insights into AML. Methodology/Principal Findings In this study, we systematically compared 25 published reports of gene expression profiling in AML. There were a total of 4,918 reported genes of which one third were reported in more than one study. We found that only a minority of reported prognostically-associated genes (9.6%) were replicated in at least one other study. In a combined analysis, we comprehensively identified both gene sets and functional gene categories and pathways that exhibited significant differential regulation in distinct prognostic categories, including many previously unreported associations. Conclusions/Significance We developed a novel approach for granular, cross-study analysis of gene-by-gene data and their relationships with established prognostic features and patient outcome. We identified many robust novel prognostic molecular features in AML that were undetected in prior studies, and which provide insights into AML pathogenesis with potential diagnostic, prognostic, and therapeutic implications. Our database and integrative analysis are available online (http://gat.stamlab.org).
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Affiliation(s)
- Brady G. Miller
- Department of Hematology, University of Washington, Seattle, Washington, United States of America
| | - John A. Stamatoyannopoulos
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
- * E-mail:
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63
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Lück SC, Russ AC, Du J, Gaidzik V, Schlenk RF, Pollack JR, Döhner K, Döhner H, Bullinger L. KITmutations confer a distinct gene expression signature in core binding factor leukaemia. Br J Haematol 2010; 148:925-37. [DOI: 10.1111/j.1365-2141.2009.08035.x] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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64
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Jones D, Yao H, Romans A, Dando C, Pierce S, Borthakur G, Hamilton A, Bueso-Ramos C, Ravandi F, Garcia-Manero G, Kantarjian H. Modeling interactions between leukemia-specific chromosomal changes, somatic mutations, and gene expression patterns during progression of core-binding factor leukemias. Genes Chromosomes Cancer 2010; 49:182-91. [PMID: 19908318 DOI: 10.1002/gcc.20732] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
In cancer genomes, changes observed during tumor progression can be difficult to separate from nonspecific accumulation of cytogenetic changes due to cancer-associated genetic instability. We studied genetic changes occurring over time in cancers presenting with a relatively simple karyotype, namely two related core-binding factor (CBF) acute myeloid leukemias (AMLs), to assess how specific chromosomal changes are selected based on tumor subtype and acquired somatic mutations. Expression profiles for DNA replication/repair genes and the mutation status of KRAS, NRAS, FLT3, and KIT were compared with the karyotypic changes at diagnosis and relapse(s) in 94 cases of inv(16)(p13.1q22)-AML and 82 cases of t(8;21)(q22;q22)-AML. The majority of both AML types demonstrated a simple aneuploid pattern of cytogenetic progression, with highly distinctive patterns of chromosome copy number changes, such as +22 and +13 exclusively in inv(16)-AML and -Y and -X in t(8;21)-AML. Selection of certain cytogenetic changes correlated with particular somatic mutations, such as +8 with RAS mutation, and absence of kinase pathway mutations in t(8;21)-AML with localized deletions at chromosome band 9q22. Alterations in transcript levels of mitotic spindle kinases such as CHEK1, AURKA, and AURKB were associated with the aneuploid progression pattern, particularly in t(8;21) cases. Despite the similarity in the initiating genetics of the two CBF AML types, highly tumor-specific patterns of limited aneuploidy are noted that persist and continue to accumulate at relapse. Thus, activation of genetic instability, possibly through mitotic spindle dysregulation, leads rapidly to the selection of advantageous single chromosome aneuploidy.
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Affiliation(s)
- Dan Jones
- Department of Hematopathology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, USA.
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65
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AML with CBFB-MYH11 rearrangement demonstrate RAS pathway alterations in 92% of all cases including a high frequency of NF1 deletions. Leukemia 2010; 24:1065-9. [PMID: 20164853 DOI: 10.1038/leu.2010.22] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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66
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Cilloni D, Carturan S, Maffè C, Messa F, Arruga F, Messa E, Pradotto M, Pautasso M, Zanone C, Fornaciari P, Defilippi I, Rotolo A, Greco E, Iacobucci I, Martinelli G, Lo-Coco F, Bracco E, Saglio G. WITHDRAWN: Proteinase 3 (PR3) gene is highly expressed in CBF leukemias and codes for a protein with abnormal nuclear localization that confers drug sensitivity. Leukemia 2010:leu2009207. [PMID: 20072158 DOI: 10.1038/leu.2009.207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Core-binding factor (CBF) leukemias are characterized by a high degree of sensitivity to high-dose cytarabine (ARA-C) treatment and by a relatively favorable prognosis compared with most other forms of adult acute myeloid leukemia (AML). The molecular basis of the response to chemotherapy is still being analyzed. The proteinase 3 (PR3) gene codes for a serine protease with a broad spectrum of proteolytic activity. PR3 is involved in the control of proliferation of myeloid leukemia cells, and when it is abnormally expressed, it confers factor-independent growth to hematopoietic cells. In this study, we analyzed the expression levels of PR3 in 113 AML patients. PR3 is highly expressed in AML, mainly in CBF leukemias in which PR3 is not only expressed, but also abnormally localized within the nuclear compartment. Nuclear PR3 results in cleavage of nuclear factor (NF)-kappaB p65 into an inactive p56 subunit lacking any transcriptional activity. The nuclear localization of PR3 is responsible for increased proliferation, apoptosis arrest and increased sensitivity to high-dose ARA-C. This study provides a new molecular mechanism that is responsible for NF-kappaB inactivation and increased sensitivity to chemotherapy in CBF leukemias.Leukemia advance online publication, 14 January 2010; doi:10.1038/leu.2009.207.
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Affiliation(s)
- D Cilloni
- Division of Hematology and Internal Medicine, Department of Clinical and Biological Sciences of the University of Turin, Turin, Italy
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Liddiard K, Hills R, Burnett AK, Darley RL, Tonks A. OGG1 is a novel prognostic indicator in acute myeloid leukaemia. Oncogene 2009; 29:2005-12. [PMID: 20023702 DOI: 10.1038/onc.2009.462] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OGG1 (8-oxoguanine DNA glycosylase) constitutes a key component of the DNA base excision repair pathway, catalysing the removal of 8-oxoguanine nucleotides from DNA, thereby suppressing mutagenesis and cell death. We found that OGG1 expression was significantly downregulated by the RUNX1-ETO fusion protein product of the t(8;21) chromosome translocation in normal haematopoietic progenitor cells and in patients with acute myeloid leukaemia (AML). Further examination of OGG1 expression in 174 AML trial patients using Affymetrix microarrays showed that the prevalence rate of OGG1 expression was 33% and correlated strongly with adverse cytogenetics. OGG1-expressing patients had a worse relapse-free survival and overall survival and an increased risk of relapse at 5-years of follow-up. There remained a trend towards increased relapse rate among OGG1-expressing patients, even after adjusting for other known risk factors in comprehensive stratified analyses. We also determined a trend for OGG1 expression to have a more adverse impact on disease outcome in the context of the FLT3-ITD mutation. This study highlights OGG1 as a valuable prognostic marker that could be used to sub-stratify AML patients to predict those likely to fail conventional chemotherapies but those likely to benefit from novel therapeutic approaches that modulate DNA repair activity.
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Affiliation(s)
- K Liddiard
- Department of Haematology, School of Medicine, Cardiff University, Cardiff, UK
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68
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MicroRNA expression profiling in acute myeloid and chronic lymphocytic leukaemias. Best Pract Res Clin Haematol 2009; 22:239-48. [PMID: 19698931 DOI: 10.1016/j.beha.2009.05.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Altered expression of microRNAs, a new class of noncoding RNAs that regulate messenger RNA and protein expression of target genes, has been recently demonstrated to have an essential role in the process of leukaemogenesis. Distinctive patterns of activation and/or silencing of multiple microRNAs (microRNA signatures) associated with certain cytogenetic and molecular subsets of leukaemia have been identified using genome-wide high-throughput profiling assays. This has led not only to the discovery of new molecular pathways implicated in leukaemogenesis, but also supplied prognostic information complementing that gained from cytogenetics, gene mutations and altered gene expression in acute and chronic leukaemias. We review herein results of current studies analysing changes of microRNA expression in acute myeloid leukaemia and chronic lymphocytic leukaemia, and discuss their potential biologic, diagnostic and prognostic relevance.
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Abstract
PURPOSE OF REVIEW Acute myeloid leukemia (AML) is characterized by a high degree of heterogeneity with respect to chromosome abnormalities, gene mutations and changes in expression of multiple genes and microRNAs. In this article, we review the results of recent studies of AML that used microarray-based genome-wide gene-expression and microRNA-expression profiling. RECENT FINDINGS Genome-wide analyses of gene expression and microRNA expression have revealed AML signatures that are closely associated with some, but not all, cytogenetic and molecular genetic subsets, helped in identification of novel biologic subtypes and led to characterization of molecular pathways involved in leukemogenesis. For some AML categories, namely core-binding factor AML and/or cytogenetically normal AML, gene-expression and microRNA-expression profiling provided prognostic information additional to that obtained from cytogenetics and analyses of gene mutations and single gene expression changes. SUMMARY Gene-expression and microRNA-expression profiling not only has the potential to enhance our understanding of the disease biology, but also appears to constitute an applicable approach for outcome prediction and identification of novel therapeutic targets.
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70
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Abstract
MicroRNAs (miRNAs) are short non-coding RNAs that have key functions in a wide array of critical cell processes, including haematopoiesis by regulating the expression of multiple genes. Aberrant miRNA expression has been described in acute myeloid leukaemia suggesting a role in leukaemogenesis. In this review we summarise the current knowledge.
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Affiliation(s)
- V Havelange
- Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
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Giannopoulos K, Dmoszynska A, Kowal M, Wasik-Szczepanek E, Bojarska-Junak A, Rolinski J, Döhner H, Stilgenbauer S, Bullinger L. Thalidomide exerts distinct molecular antileukemic effects and combined thalidomide/fludarabine therapy is clinically effective in high-risk chronic lymphocytic leukemia. Leukemia 2009; 23:1771-8. [PMID: 19440214 DOI: 10.1038/leu.2009.98] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Thalidomide represents a promising immunomodulatory drug that targets both leukemia cells and the tumor microenvironment. We treated patients with chronic lymphocytic leukemia (CLL) with a combined thalidomide/fludarabine regimen and monitored cellular and molecular changes induced by thalidomide in vivo before fludarabine treatment. Thalidomide was given daily (100 mg p.o. per day) and fludarabine was administered on days 7-11 (25 mg/m(2) i.v. per day) within each 4-week cycle (maximum of 6 cycles). Twenty patients received thalidomide/fludarabine as first-line therapy and 20 patients were previously treated. Unmutated IgVH mutation status was found in 36 cases and 13 had high-risk cytogenetic aberrations (del17p, del11q). The overall response rate was 80 and 25% for untreated and previously treated patients, respectively. Although thalidomide reduced the number of CLL cells, the number of CD3 lymphocytes showed no significant change, but the number of CD4(+)CD25(hi)FOXP3(+) regulatory T cells (Tregs) was significantly decreased. Gene expression profiling revealed a thalidomide-induced signature containing both targets known to have a function in immunomodulatory drug action as well as novel candidate genes. Combined thalidomide/fludarabine therapy demonstrated efficacy in high-risk patients with CLL. Furthermore, our study provides novel biological insights into thalidomide effect, which might act by enhancing apoptosis of CLL cells and reducing Tregs, thereby enabling T-cell-dependent antitumor effect.
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Affiliation(s)
- K Giannopoulos
- Department of Clinical Immunology, Medical University of Lublin, Lublin, Poland
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Bacher U, Haferlach C, Schnittger S, Kern W, Kroeger N, Zander AR, Haferlach T. Interactive diagnostics in the indication to allogeneic SCT in AML. Bone Marrow Transplant 2009; 43:745-56. [DOI: 10.1038/bmt.2009.54] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Gökbuget N, Hoelzer D. Bedeutung von Multicenterstudiengruppen für die klinische Forschung in der Hämatologie und Onkologie. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2009; 52:417-24. [DOI: 10.1007/s00103-009-0830-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Bacher U, Kohlmann A, Haferlach T. Current status of gene expression profiling in the diagnosis and management of acute leukaemia. Br J Haematol 2009; 145:555-68. [PMID: 19344393 DOI: 10.1111/j.1365-2141.2009.07656.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Gene expression profiling (GEP) enables the simultaneous investigation of the expression of tens of thousands of genes and was successfully introduced in leukaemia research a decade ago. Aiming to better understand the diversity of genetic aberrations in acute myeloid leukaemia (AML) and acute lymphoblastic leukaemia (ALL), pioneer studies investigated and confirmed the predictability of many cytogenetic and molecular subclasses in AML and ALL. In addition, GEP can define new prognostic subclasses within distinct leukaemia subgroups, as illustrated in AML with normal karyotype. Another approach is the development of treatment-specific sensitivity assays, which might contribute to targeted therapy studies. Finally, GEP might enable the detection of new molecular targets for therapy in patients with acute leukaemia. Meanwhile, large multicentre studies, e.g. the Microarray Innovations in LEukaemia (MILE) study, prepare for a standardised introduction of GEP in leukaemia diagnostic algorithms, aiming to translate this novel methodology into clinical routine for the benefit of patients with the complex disorders of AML and ALL.
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Affiliation(s)
- Ulrike Bacher
- Department of Stem Cell Transplantation, University Cancer Center Hamburg, Hamburg
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Core binding factor acute myeloid leukemia (CBF-AML): is high-dose Ara-C (HDAC) consolidation as effective as you think? Curr Opin Hematol 2009; 16:92-7. [DOI: 10.1097/moh.0b013e3283257b18] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Ayala RM, Martínez-López J, Albízua E, Diez A, Gilsanz F. Clinical significance of Gata-1, Gata-2, EKLF, and c-MPL expression in acute myeloid leukemia. Am J Hematol 2009; 84:79-86. [PMID: 19097174 DOI: 10.1002/ajh.21332] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The aim of this study was to evaluate the biological correlation and prognostic impact of Gata-1, Gata-2, EKLF, and c-MPL transcript level in a group of 41 acute myeloid leukemia (AML) patients. Gata-1 overexpression was related to advanced age and a low percentage of bone marrow blasts and was associated with the expression of CD34 antigen and lymphoid T markers. The negative impact of Gata-1 expression on the probability of achieving complete remission has been confirmed. Gata-2 overexpression was associated with a low percentage of blasts in BM and males. Expression of c-MPL was associated with CD34+ AML and M2 FAB AML subtype. A higher expression of EKLF was found in secondary AML versus primary AML. Nevertheless, patients expressing EKLF had a longer overall survival and event free survival than those patients that did not express EKLF. Our study has identified expression of EKLF as a factor with a favorable impact on prognosis in AML.
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MESH Headings
- Adolescent
- Adult
- Aged
- Bone Marrow/pathology
- Chromosome Aberrations
- Disease-Free Survival
- Erythropoiesis/genetics
- GATA1 Transcription Factor/analysis
- GATA1 Transcription Factor/physiology
- GATA2 Transcription Factor/analysis
- GATA2 Transcription Factor/physiology
- Gene Expression Regulation, Neoplastic
- Humans
- Kruppel-Like Transcription Factors/analysis
- Kruppel-Like Transcription Factors/physiology
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/metabolism
- Leukemia, Myeloid, Acute/mortality
- Leukemia, Myeloid, Acute/pathology
- Middle Aged
- Neoplasm Proteins/analysis
- Neoplasm Proteins/physiology
- Neoplasms, Second Primary/genetics
- Neoplasms, Second Primary/metabolism
- Neoplasms, Second Primary/mortality
- Neoplasms, Second Primary/pathology
- Prognosis
- Receptors, Thrombopoietin/analysis
- Receptors, Thrombopoietin/physiology
- Survival Analysis
- Young Adult
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Affiliation(s)
- Rosa M Ayala
- Servicio de Hematologia, Hospital Universitario 12 de Octubre, Madrid, España.
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Clinical implications of molecular genetic aberrations in acute myeloid leukemia. J Cancer Res Clin Oncol 2009; 135:491-505. [PMID: 19125300 DOI: 10.1007/s00432-008-0524-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2008] [Accepted: 11/25/2008] [Indexed: 01/05/2023]
Abstract
The role of different cytogenetic changes has been extensively evaluated in patients with acute myeloid leukemia (AML), and cytogenetic analysis of AML blasts is essential to form prognostic subgroups in order to stratify for the extent of therapy. Nevertheless, 40-45% of AML patients lack such cytogenetic markers, i.e., cytogenetically normal AML (CN-AML). In the past decade, different molecular aberrations were identified in AML and especially CN-AML can now be discriminated into certain prognostic subgroups. This review considers the latest advances to define the prognostic impact of molecular aberrations in AML and gives insights how such molecular markers can be applied for analysis of minimal residual disease. Furthermore, therapeutic implications as well as the potential role of new methodological techniques in analyzing expression patterns of AML blasts are discussed.
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Hematopoietic stem cell transplantation for core binding factor acute myeloid leukemia: t(8;21) and inv(16) represent different clinical outcomes. Blood 2009; 113:2096-103. [PMID: 19126873 DOI: 10.1182/blood-2008-03-145862] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
We analyzed 338 adult patients with acute myeloid leukemia (AML) with t(8;21) and inv(16) undergoing stem cell transplantation (SCT) who were registered in the Japan Society for Hematopoietic Cell Transplantation database. At 3 years, overall survival (OS) of patients with t(8;21) and inv(16) was 50% and 72%, respectively (P= .002). Although no difference was observed when restricted to allogeneic SCT in first complete remission (CR; 84% and 74%), OS of patients with t(8;21) and inv(16) undergoing allogeneic SCT in second or third CR (45% and 86% at 3 years; P= .008) was different. OS was not different between patients in first CR who received allogeneic SCT and those who received autologous SCT for both t(8;21) AML (84% vs 77%; P= .49) and inv(16) AML (74% vs 59%; P= .86). Patients with inv(16) not in CR did better after allogeneic SCT than those with t(8;21) (70% and 18%; P= .03). Patients with t(8;21) and inv(16) should be managed differently as to the application of SCT. SCT in first CR is not necessarily recommended for inv(16). For t(8;21) patients in first CR, a prospective trial is needed to clarify the significance of autologous SCT and allogeneic SCT over chemotherapy.
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Dimopoulos MA, Gertz MA, Kastritis E, Garcia-Sanz R, Kimby EK, LeBlond V, Fermand JP, Merlini G, Morel P, Morra E, Ocio EM, Owen R, Ghobrial IM, Seymour J, Kyle RA, Treon SP. Update on Treatment Recommendations From the Fourth International Workshop on Waldenström's Macroglobulinemia. J Clin Oncol 2009; 27:120-6. [DOI: 10.1200/jco.2008.17.7865] [Citation(s) in RCA: 164] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Waldenström macroglobulinemia (WM) is a distinct B-cell lymphoproliferative disorder characterized by lymphoplasmacytic bone marrow infiltration along with an immunoglobulin M (IgM) monoclonal gammopathy. Patients with disease-related cytopenias, bulky adenopathy or organomegaly, symptomatic hyperviscosity, severe neuropathy, amyloidosis, cryoglobulinemia, cold agglutinin disease, or evidence of disease transformation should be considered for immediate therapy. Initiation of therapy should not be based on serum IgM levels alone, and asymptomatic patients should be observed. Individual patient considerations should be considered when deciding on a first-line agent including the presence of cytopenias, need for rapid disease control, age, and candidacy for autologous transplantation. Therapeutic outcomes should be evaluated using updated criteria. As part of the Fourth International Workshop on Waldenström's Macroglobulinemia, a consensus panel updated its recommendations on both first-line and salvage therapy in view of recently published and ongoing clinical trials. The panel considered encouraging results from recent studies of first-line combinations such as rituximab with nucleoside analogs with or without alkylating agents or with cyclophosphamide-based therapies (eg, cyclophosphamide, doxorubicin, vincristine, and prednisone or cyclophosphamide and dexamethasone) or the combination of rituximab with thalidomide. Such therapeutic approaches are likely to yield responses at least as good as, if not better than, monotherapy with any of the alkylating agents, nucleoside analogs, or rituximab. In the salvage setting, reuse of a first-line regimen or use of a different regimen should be considered along with bortezomib, alemtuzumab, autologous transplantation, and, in selected circumstances, allogeneic transplantation. Finally, the panel reaffirmed its encouragement of the active enrollment of patients with WM onto innovative clinical trials whenever possible.
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Affiliation(s)
- Meletios Athanasios Dimopoulos
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Morie A. Gertz
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Efstathios Kastritis
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Ramon Garcia-Sanz
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Eva K. Kimby
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Veronique LeBlond
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Jean-Paul Fermand
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Giampaolo Merlini
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Pierre Morel
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Enrica Morra
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Enrique M. Ocio
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Roger Owen
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Irene M. Ghobrial
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - John Seymour
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Robert A. Kyle
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
| | - Steven P. Treon
- From the University of Athens School of Medicine, Athens, Greece; Hospital Universitario de Salamanca, Salamanca, Spain; Karolinska Institute, Stockholm, Sweden; Hopital Pitie Salpetriere; Hopital Saint Louis, Paris; Hospitalier Schaffner, Lens, France; Scientific Institute Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia; Niguarda Ca'Granda Hospital, Milano, Italy; Leeds General Infirmary, Leeds, United Kingdom; Department of Hematology, Mayo School of Medicine,
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81
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Bacher U, Kohlmann A, Haferlach C, Kern W, Schnittger S, Haferlach T. Gene expression analyses in acute myeloid leukaemia (AML): current status and perspectives. MEMO-MAGAZINE OF EUROPEAN MEDICAL ONCOLOGY 2008. [DOI: 10.1007/s12254-008-0077-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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Mrózek K, Marcucci G, Paschka P, Bloomfield CD. Advances in molecular genetics and treatment of core-binding factor acute myeloid leukemia. Curr Opin Oncol 2008; 20:711-8. [PMID: 18841055 PMCID: PMC3677535 DOI: 10.1097/cco.0b013e32831369df] [Citation(s) in RCA: 73] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
PURPOSE OF REVIEW Core-binding factor (CBF) acute myeloid leukemia (AML) is among the most common cytogenetic subtypes of AML, being detected in approximately 13% of adults with primary disease. Although CBF-AML is associated with a relatively favorable prognosis, only one-half of the patients are cured. Herein we review recent discoveries of genetic and epigenetic alterations in CBF-AML that may represent novel prognostic markers and therapeutic targets and lead to improvement of the still disappointing clinical outcome of these patients. RECENT FINDINGS Several acquired gene mutations and gene-expression and microRNA-expression changes that occur in addition to t(8;21)(q22;q22) and inv(16)(p13q22)/t(16;16)(p13;q22), the cytogenetic hallmarks of CBF-AML, have been recently reported. Alterations that may represent cooperative events in CBF-AML leukemogenesis include mutations in the KIT, FLT3, JAK2 and RAS genes, haploinsufficiency of the putative tumor suppressor genes TLE1 and TLE4 in t(8;21)-positive patients with del(9q), MN1 overexpression in inv(16) patients, and epigenetic and posttranscriptional silencing of CEBPA. Genome-wide gene-expression and microRNA-expression profiling identifying subgroups of CBF-AML patients with distinct molecular signatures, different clinical outcomes, or both, have also been reported. SUMMARY Progress has been made in delineating the genetic basis of CBF-AML that will likely result in improved prognostication and development of novel, risk-adapted therapeutic approaches.
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Affiliation(s)
- Krzysztof Mrózek
- Division of Hematology and Oncology, Department of Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210-1228, USA.
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83
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Loss of MLL5 results in pleiotropic hematopoietic defects, reduced neutrophil immune function, and extreme sensitivity to DNA demethylation. Blood 2008; 113:1432-43. [PMID: 18854576 DOI: 10.1182/blood-2008-06-162263] [Citation(s) in RCA: 83] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
MLL5 is a divergent member of the Drosophila Trithorax-related (SET) domain and plant homeodomain (PHD) domain-containing chromatin regulators that are involved in the regulation of transcriptional "memory" during differentiation. Human MLL5 is located on chromosome 7q22, which frequently is deleted in myeloid leukemias, suggesting a possible role in hemopoiesis. To address this question, we generated a loss-of-function allele (Mll5(tm1Apa)) in the murine Mll5 locus. Unlike other Mll genes, Mll5(tm1Apa) homozygous mice are viable but display defects in immunity and hematopoiesis. First, Mll5(tm1Apa) homozygous mice show increased susceptibility to spontaneous eye infections, associated with a cell-autonomous impairment of neutrophil function. Second, Mll5(tm1Apa/tm1Apa) mice exhibit a mild impairment of erythropoiesis. Third, Mll5(tm1Apa/tm1Apa) hematopoietic stem cells (HSCs) have impaired competitive repopulating capacity both under normal conditions and when subjected to self-renewal stimulation by NUP98-HOXA10. Fourth, Mll5(tm1Apa) homozygous HSCs show a dramatic sensitivity to DNA demethylation-induced differentiation (5-azadeoxycytidine). Taken together, our data show that MLL5 is involved in terminal myeloid differentiation and the regulation of HSC self-renewal by a mechanism that involves DNA methylation. These data warrant investigation of MLL5 expression levels as a predictive marker of demethylating-agent response in patients with myelodysplastic syndromes and leukemias and identify MLL5 as a key regulator of normal hematopoiesis.
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84
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Verhaak RGW, Wouters BJ, Erpelinck CAJ, Abbas S, Beverloo HB, Lugthart S, Löwenberg B, Delwel R, Valk PJM. Prediction of molecular subtypes in acute myeloid leukemia based on gene expression profiling. Haematologica 2008; 94:131-4. [PMID: 18838472 DOI: 10.3324/haematol.13299] [Citation(s) in RCA: 258] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
We examined the gene expression profiles of two independent cohorts of patients with acute myeloid leukemia [n=247 and n=214 (younger than or equal to 60 years)] to study the applicability of gene expression profiling as a single assay in prediction of acute myeloid leukemia-specific molecular subtypes. The favorable cytogenetic acute myeloid leukemia subtypes, i.e., acute myeloid leukemia with t(8;21), t(15;17) or inv(16), were predicted with maximum accuracy (positive and negative predictive value: 100%). Mutations in NPM1 and CEBPA were predicted less accurately (positive predictive value: 66% and 100%, and negative predictive value: 99% and 97% respectively). Various other characteristic molecular acute myeloid leukemia subtypes, i.e., mutant FLT3 and RAS, abnormalities involving 11q23, -5/5q-, -7/7q-, abnormalities involving 3q (abn3q) and t(9;22), could not be correctly predicted using gene expression profiling. In conclusion, gene expression profiling allows accurate prediction of certain acute myeloid leukemia subtypes, e.g. those characterized by expression of chimeric transcription factors. However, detection of mutations affecting signaling molecules and numerical abnormalities still requires alternative molecular methods.
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Affiliation(s)
- Roel G W Verhaak
- Erasmus University Medical Center Rotterdam, Department of Hematology, Rotterdam, The Netherlands
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Abstract
The MYC oncogene, which is commonly mutated/amplified in tumors, represents an important regulator of cell growth because of its ability to induce both proliferation and apoptosis. Recent evidence links MYC to altered miRNA expression, thereby suggesting that MYC-regulated miRNAs might contribute to tumorigenesis. To further analyze the impact of MYC-regulated miRNAs, we investigated a murine lymphoma model harboring the MYC transgene in a Tet-off system to control its expression. Microarray-based miRNA expression profiling revealed both known and novel MYC targets. Among the miRNAs repressed by MYC, we identified the potential tumor suppressor miR-26a, which possessed the ability to attenuate proliferation in MYC-dependent cells. Interestingly, miR-26a was also found to be deregulated in primary human Burkitt lymphoma samples, thereby probably being of clinical relevance. Although today only few miRNA targets have been identified in human disease, we could show that ectopic expression of miR-26a influenced cell cycle progression by targeting the bona fide oncogene EZH2, a Polycomb protein and global regulator of gene expression yet unknown to be regulated by miRNAs. Thus, in addition to directly targeting protein-coding genes, MYC modulates genes important to oncogenesis via deregulation of miRNAs, thereby vitally contributing to MYC-induced lymphomagenesis.
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86
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A decade of genome-wide gene expression profiling in acute myeloid leukemia: flashback and prospects. Blood 2008; 113:291-8. [PMID: 18703705 DOI: 10.1182/blood-2008-04-153239] [Citation(s) in RCA: 77] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The past decade has shown a marked increase in the use of high-throughput assays in clinical research into human cancer, including acute myeloid leukemia (AML). In particular, genome-wide gene expression profiling (GEP) using DNA microarrays has been extensively used for improved understanding of the diagnosis, prognosis, and pathobiology of this heterogeneous disease. This review discusses the progress that has been made, places the technologic limitations in perspective, and highlights promising future avenues.
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87
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Grubach L, Juhl-Christensen C, Rethmeier A, Olesen LH, Aggerholm A, Hokland P, Østergaard M. Gene expression profiling of Polycomb, Hox and Meis genes in patients with acute myeloid leukaemia. Eur J Haematol 2008; 81:112-22. [DOI: 10.1111/j.1600-0609.2008.01083.x] [Citation(s) in RCA: 72] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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88
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89
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Transcriptional repression of the RUNX3/AML2 gene by the t(8;21) and inv(16) fusion proteins in acute myeloid leukemia. Blood 2008; 112:3391-402. [PMID: 18663147 DOI: 10.1182/blood-2008-02-137083] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
RUNX3/AML2 is a Runt domain transcription factor like RUNX1/AML1 and RUNX2/AML3. Regulated by 2 promoters P1 and P2, RUNX3 is frequently inactivated by P2 methylation in solid tumors. Growing evidence has suggested a role of this transcription factor in hematopoiesis. However, genetic alterations have not been reported in blood cancers. In this study on 73 acute myeloid leukemia (AML) patients (44 children and 29 adults), we first showed that high RUNX3 expression among childhood AML was associated with a shortened event-free survival, and RUNX3 was significantly underexpressed in the prognostically favorable subgroup of AML with the t(8;21) and inv(16) translocations. We further demonstrated that this RUNX3 repression was mediated not by P2 methylation, but RUNX1-ETO and CBFbeta-MYH11, the fusion products of t(8;21) and inv(16), via a novel transcriptional mechanism that acts directly or indirectly in collaboration with RUNX1, on 2 conserved RUNX binding sites in the P1 promoter. In in vitro studies, ectopically expressed RUNX1-ETO and CBFbeta-MYH11 also inhibited endogenous RUNX3 expression. Taken together, RUNX3 was the first transcriptional target found to be commonly repressed by the t(8;21) and inv(16) fusion proteins and might have an important role in core-binding factor AML.
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90
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MicroRNA expression profiling in relation to the genetic heterogeneity of acute myeloid leukemia. Blood 2008; 111:5078-85. [PMID: 18337557 DOI: 10.1182/blood-2008-01-133355] [Citation(s) in RCA: 313] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Acute myeloid leukemia (AML) is a highly diverse disease characterized by various cytogenetic and molecular abnormalities. MicroRNAs are small noncoding RNAs that show variable expression during myeloid differentiation. MicroRNA expression in marrow blasts in 215 cases of newly diagnosed and (cyto)genetically defined AML was assessed using quantitative reverse-transcription-polymerase chain reaction (RT-PCR) for 260 human microRNAs. In the same series, mRNA gene expression profiles were established, allowing a direct comparison between microRNA and mRNA expression. We show that microRNA expression profiling following unsupervised analysis reveals distinctive microRNA signatures that correlate with cytogenetic and molecular subtypes of AML (ie, AMLs with t(8;21), t(15;17), inv(16), NPM1, and CEBPA mutations). Significantly differentially expressed microRNAs for genetic subtypes of AML were identified. Specific microRNAs with established oncogenic and tumor suppressor functions, such as microRNA-155, microRNA-21, and let-7, appear to be associated with particular subtypes. Combinations of selected sets of microRNAs could predict cytogenetically normal AML with mutations in the genes of NPM1 and CEBPA and FLT3-ITD with similar accuracy as mRNA probe set combinations defined by gene expression profiling. MicroRNA expression apparently bears specific relationships to the heterogeneous pathobiology of AML. Distinctive microRNA signatures appear of potential value in the clinical diagnosis of AML.
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91
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Yoo C, Gernaey KV. Classification and Diagnostic Output Prediction of Cancer Using Gene Expression Profiling and Supervised Machine Learning Algorithms. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 2008. [DOI: 10.1252/jcej.08we042] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Changkyoo Yoo
- College of Environment and Applied Chemistry, Green Energy Center/Center for Environmental Studies, Kyung Hee University
| | - Krist V. Gernaey
- Department of Chemical Engineering, Technical University of Denmark
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92
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p53 signaling in response to increased DNA damage sensitizes AML1-ETO cells to stress-induced death. Blood 2007; 111:2190-9. [PMID: 17975013 DOI: 10.1182/blood-2007-06-093682] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Chromosomal translocation (8;21) is present in 10% to 15% of patients with acute myeloid leukemia. Expression of the AML1-ETO (AE) fusion protein alone is not sufficient to induce leukemia, but the nature of the additional genetic alterations is unknown. It is unclear whether AE facilitates acquisition of these cooperating events. We show that AE down-regulates genes involved in multiple DNA repair pathways, potentially through a mechanism involving direct binding at promoter elements, and increases the mutation frequency in vivo. AE cells display increased DNA damage in vitro and have an activated p53 pathway. This results in increased basal apoptosis and enhanced sensitivity to DNA damaging agents. Intriguingly, microarray data indicate that t(8;21) patient samples exhibit decreased expression of DNA repair genes and increased expression of p53 response genes compared with other acute myeloid leukemia (AML) patient samples. Inhibition of the p53 pathway by RNAi increases the resistance of AE cells to DNA damage. We thus speculate that AML1-ETO may facilitate accumulation of genetic alterations by suppressing endogenous DNA repair. It is possible that the superior outcome of t(8;21) patients is partly due to an activated p53 pathway, and that loss of the p53 response pathway is associated with disease progression.
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93
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Frankfurt O, Licht JD, Tallman MS. Molecular characterization of acute myeloid leukemia and its impact on treatment. Curr Opin Oncol 2007; 19:635-49. [PMID: 17906465 DOI: 10.1097/cco.0b013e3282f10e55] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE OF REVIEW Molecular aberrations are playing an ever increasing role in guiding classification, prognosis, and therapeutic strategies in patients with acute myeloid leukemia. This review outlines recent strides in our understanding of the molecular characteristics of acute myeloid leukemia. RECENT FINDINGS We highlight the novel concept of preferential co-expression of certain mutations, summarize recent data on the clinically relevant prognostic role of known and novel molecular aberrations, and emphasize the emerging role of gene expression profiling and minimal residual disease monitoring. SUMMARY We review the molecular heterogeneity within already established categories of acute myeloid leukemia and discuss how these data may translate into prognostic, molecular-based therapy stratification to improve patient outcome.
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Affiliation(s)
- Olga Frankfurt
- Division of Hematology and Oncology, Northwestern University Feinberg School of Medicine, Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, Illinois 60611, USA.
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