Literature DB >> 26239249

Molecular Genetic Markers in Acute Myeloid Leukemia.

Sophia Yohe1.   

Abstract

Genetics play an increasingly important role in the risk stratification and management of acute myeloid leukemia (AML) patients. Traditionally, AML classification and risk stratification relied on cytogenetic studies; however, molecular detection of gene mutations is playing an increasingly important role in classification, risk stratification, and management of AML. Molecular testing does not take the place of cytogenetic testing results, but plays a complementary role to help refine prognosis, especially within specific AML subgroups. With the exception of acute promyelocytic leukemia, AML therapy is not targeted but the intensity of therapy is driven by the prognostic subgroup. Many prognostic scoring systems classify patients into favorable, poor, or intermediate prognostic subgroups based on clinical and genetic features. Current standard of care combines cytogenetic results with targeted testing for mutations in FLT3, NPM1, CEBPA, and KIT to determine the prognostic subgroup. Other gene mutations have also been demonstrated to predict prognosis and may play a role in future risk stratification, although some of these have not been confirmed in multiple studies or established as standard of care. This paper will review the contribution of cytogenetic results to prognosis in AML and then will focus on molecular mutations that have a prognostic or possible therapeutic impact.

Entities:  

Keywords:  CEBPA; FLT3-ITD; NPM1; acute myeloid leukemia (AML); gene mutation

Year:  2015        PMID: 26239249      PMCID: PMC4470139          DOI: 10.3390/jcm4030460

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


1. Introduction

There is a well-established role for genetic classification of acute myeloid leukemia (AML) into different prognostic groups. Traditionally, this classification has relied on detection of large chromosomal abnormalities by cytogenetics; however, detection of smaller scale mutations is playing an increasingly important role in classification and prognostication of AML. These mutations do not take the place of cytogenetic testing results but play a complementary role to help refine prognosis, especially within specific AML subgroups. With the exception of acute promyelocytic leukemia, therapy for AML is not targeted and the intensity of therapy is driven by the prognostic subgroup. Many prognostic scoring systems classify patients into favorable, poor, or intermediate prognosis based on clinical and cytogenetic features. Research on molecular testing has generally tried to refine the prognosis of intermediate cases or to find mutations that explain why some patients in a favorable prognosis category have resistant disease. If identified, these patient could potential receive more aggressive therapy upfront. This paper will briefly review the contribution of cytogenetic results to prognosis in AML and then will focus on molecular mutations that change prognostic subgrouping. Gene mutations that appear to have prognostic effect but have not been confirmed in multiple studies or established as standard of care will also be explored.

2. Genetics and AML Classification

The current World Health Organization (WHO) 2008 classifies AML based on patient history, morphologic findings, and the presence or absence of specific genetic abnormalities. Genetic abnormalities play the biggest role in two categories: AML with recurrent genetic abnormalities and AML with myelodysplasia related changes (AML-MRC) [1]. (Table 1) AML-MRC can also be diagnosed in patients with a history of a myelodysplastic syndrome (MDS) or based on the presence of significant morphologic dysplasia in two cell lineages at the time of AML diagnosis. However, current treatment guidelines for AML use only a subset of the AML-MRC genetic abnormalities to guide therapy in the absence of a history of MDS (Table 2) [2]. The presence of morphologic dysplasia alone does not affect therapy.
Table 1

Genetic abnormalities that affect acute myeloid leukemia (AML) classification.

AML with Recurrent Genetic AbnormalitiesAML with Myelodysplasia Related Changes
RUNX1-RUNX1T1 t(8;21)(q22;q22) Complex karyotype (≥3 unrelated abnormalities)
CBFB-MYH11 inv(16)(p12.1q22) or t(16;16)(p13.1;q22)−7/del(7q), −5/del(5q)
PML-RARA t(15;17)(q22;q12)−13/del(13q), del(11q), del(12p)/t(12p), del(9q)
MLLT3-MLL/KMT2A t(9;11)(q22;q23)i(17q)/t(17p), idic(X)(q13)
DEK-NUP214 t(6;9)(p23;q34)t(5;12)(q33;p12), t(5;7)(q33;q11.2) t(5;17)(q33;p13), t(5;10)(q33;q21)
RPN-EVI1 inv(3)(q21q26.2) or t(3;3)(q21;q26.2)t(1;3)(p36.3;q21.2), t(3;5)(q25;q34)
RBM15-MKL1 t(1;22)(p13;q13)t(11;16)(q23;p13.3) *, t(3;21)(q26.2;q22.1) *
NPM1 gene mutation (provisional entity)t(2;11)(p21;q23) *
Mutated CEBPA (provisional entity)

* Rule out therapy related AML before using any of these three translocations to make a diagnosis of AML with myelodysplasia related changes.

Table 2

Cytogenetic and molecular findings used in risk stratification for AML.

RiskCytogeneticsMolecular
Favorableinv(16) or t(16;16)Normal cytogenetics with:
t(8;21) Isolated biallelic CEBPA mutation
t(15;17) NPM1 mutation without FLT3 ITD
IntermediateNormal cytogeneticsKIT mutation in core binding factor leukemia: inv(16) or t(16;16) t(8;21)
Isolated +8
t(9;11)
Other non-good and non-poor changes
PoorComplex (≥3 clonal abnormalities) Normal cytogenetics with: FLT3 ITD
Monosomal karyotype *
−5/−5q or −7/−7q
11q23 rearrangements other than t(9;11)
inv(3) or t(3;3)
t(6;9)
t(9;22)

* Monosomal: ≥2 monosomies or 1 monosomy and additional 1 or more structural abnormalities (Breems JCO 2008; 26:4791); ITD: internal tandem duplication. (Adapted with permission from the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®) for Acute Myeloid Leukemia V.1.2015 © National Comprehensive Cancer Network, Inc 2014. All rights reserved. Accessed January 13, 2015. To view the most recent and complete version of the guideline, go online to NCCN.org. NATIONAL COMPREHENSIVE CANCER NETWORK®, NCCN®, NCCN GUIDELINES®, and all other NCCN Content are trademarks owned by the National Comprehensive Cancer Network, Inc.)

3. Cytogenetic Abnormalities and Prognosis

Most of the prognostic cytogenetic abnormalities in AML are either chromosomal rearrangements or large genomic deletions. (Table 2) Acute promyelocytic leukemia with t(15;17) and the core binding factor leukemias with inv(16)/t(16;16) or t(8;21) have a better prognosis. In contrast, complex or monosomal karyotypes, deletions of chromosomes 5 or 7, and some other specific chromosomal rearrangements have a poorer prognosis. Other changes including normal cytogenetics, t(9;11) and isolated +8 have an intermediate prognosis. However, the presence of certain molecular mutations may modify these prognostic groups. Isolated NPM1 or biallelic CEBPA mutations improve the prognosis of AML with normal cytogenetics from intermediate to favorable; whereas a FLT3 ITD changes it to poor. The presence of a KIT mutation in core binding factor leukemia worsens the prognostic category to intermediate. Genetic abnormalities that affect acute myeloid leukemia (AML) classification. * Rule out therapy related AML before using any of these three translocations to make a diagnosis of AML with myelodysplasia related changes. Cytogenetic and molecular findings used in risk stratification for AML. * Monosomal: ≥2 monosomies or 1 monosomy and additional 1 or more structural abnormalities (Breems JCO 2008; 26:4791); ITD: internal tandem duplication. (Adapted with permission from the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®) for Acute Myeloid Leukemia V.1.2015 © National Comprehensive Cancer Network, Inc 2014. All rights reserved. Accessed January 13, 2015. To view the most recent and complete version of the guideline, go online to NCCN.org. NATIONAL COMPREHENSIVE CANCER NETWORK®, NCCN®, NCCN GUIDELINES®, and all other NCCN Content are trademarks owned by the National Comprehensive Cancer Network, Inc.)

4. Established Gene Mutations Associated with Prognosis

Refining the prognosis for AML in the cytogenetic intermediate risk category has received the most attention. As this group is heterogeneous, the best treatment for an individual patient in the intermediate risk category is uncertain. Favorable risk patients are treated with standard chemotherapy while patients in the poor risk category should undergo allogeneic hematopoietic stem cell transplant. However, 40%–50% of adult AML falls into the intermediate category and most of these have a normal karyotype. FLT3, NPM1 and CEBPA mutations were the first to be found useful in helping stratify cytogenetically intermediate risk patients with a normal karyotype. Mutations in KIT help to refine prognosis in core binding factor leukemia.

4.1. FLT3 (Fms-like Tyrosine Kinase 3)

FLT3 is a receptor tyrosine kinase involved in hematopoiesis and commonly mutated in AML. There are two common mutations that occur in FLT3: an internal tandem duplication (ITD) in the juxtamembrane domain and a point mutation of the tyrosine kinase domain (TKD). Both mutations lead to constitutive activation; however only the FLT3 ITD is definitively associated with a poorer prognosis. About 20% of all AMLs harbor a FLT3 ITD mutation, but the mutation is more common in AML with t(15;17) and AML with a normal karyotype (cytogenetically normal AML or CN-AML), accounting for approximately 30% of these cases [3,4]. AML with a normal karyotype and FLT3 ITD mutation has a poorer prognosis [3,4,5]. Testing of patients by PCR followed by size analysis, reveals variability in the size of the FLT3 ITD, the number of FLT3 ITD mutations, and the amount of FLT3 ITD mutation compared to wild type. Some of these have prognostic implications. Studies have shown that patients with a higher FLT3 ITD mutant:wild type allelic ratio have a worse prognosis than patients with a lower ratio [6,7]. Although the ratio may reflect disease burden to a certain extent, a high allelic ratio of >0.5 (or ratio ≥1 using area under the curve) is presumed to be due to biallelic FLT3 ITD mutations in at least a subset of the blasts [7,8]. Despite the prognostic impact, current risk stratification does not include the allelic ratio. Approximately 14%–25% of FLT3 ITD positive patients will have more than one FLT3 ITD mutation, in these cases the mutant:wild type ratio of the most prevalent mutation should be used for the allelic ratio [6,7,9]. Most studies have not shown a prognostic effect of having multiple FLT3 ITD mutations [6,7,8,10]. The FLT3 ITD size can vary from a few base pairs to over 1000 base pairs [7]. A correlation between size and prognosis has been demonstrated in some studies but not others [6,7,11,12,13]. Sequencing of FLT3 ITD reveals that there is also variability in the site and sequence of the mutations, in fact some mutations are not true tandem duplications and not all FLT3 ITD are in the juxtamembrane domain. The term FLT3 length mutation (FLT3 LM) has been proposed as a more accurate term [7]. Only about two-thirds of FLT3 mutations are actual duplications while the remaining third are insertions or complex duplications and insertions [7]. Despite the sequence differences, mutations appear to remain in-frame [7,10]. The insertion site of the FLT3 mutation is highly variable, one study found 91 unique insertion sites in 689 patients [7]. Approximately 30% of FLT3 ITD occur outside the juxtamembrane domain and instead occur in the first tyrosine kinase domain (TKD1), usually in the β1 sheet [7,10,14]. At least some of these FLT3 ITD in the TKD1 domain have been shown to lead to constitutive activation [14]. Kayser et al. in 2009 and Schlenk have shown worse prognosis with insertion in the TKD1 domain, but the 2012 study by Schnittger did not [7,8,9]. The Schnittger study did show a trend to worse prognosis with a more 3’ location of the insertion and the TKD1 domain is more 3’ than the juxtamembrane domain [7]. Further studies are needed to evaluate the different FLT3 mutations and insertion sites to determine whether specific mutations have different prognostic impacts. Allogeneic transplant is usually recommended for FLT3 ITD positive AML with a normal karyotype; however, even with transplant there is a high risk of relapse. There is also interest in targeting FLT3 ITD mutations with FLT3 inhibitors; unfortunately, to date success in this area has been limited [15]. Possible reasons include coexistence or development of FLT3 TKD mutations, activation of downstream signaling molecules, up-regulation of FLT3, or activation of other pathways [15]. The less common FLT3 TKD mutation is found in about 10% of AML and also leads to constitutive activation of FLT3 [3,4]. However, despite a seemingly similar mechanism of action the FLT3 TKD has not clearly been shown to have an effect on prognosis. Some studies suggested an adverse prognostic risk; however, other studies have not confirmed this [3,4]. It is unclear at this time whether this mutation is targetable with FLT3 inhibitors, although some studies suggest that it is not [15].

4.2. NPM1 (Nucleophosmin 1)

NPM1 encodes a phosphoprotein that normally shuttles between the nucleus and cytoplasm and plays a role in ribosome biogenesis, centrosome duplication during mitosis, and cell proliferation and apoptosis through p53 and p19Arf [16]. Mutations in NPM1 occur in the C-terminus of the gene leading to loss of the nucleolar localization signal and gain of a nuclear export signal ultimately leading to cytoplasmic localization of this protein. The most common mutation is a 4 base pair insertion. NPM1 mutations are found in about 30% of all AML and 50%–60% of AML with a normal karyotype making it the most common genetic mutation in AML [3]. NPM1 rarely occurs with the any of the recurrent genetic abnormalities, BCOR, or CEBPA but frequently co-exist with FLT3, DNMT3A, and IDH [17,18,19]. The presence of an NPM1 mutation in AML with normal karyotype in the absence of a FLT3 ITD mutation portends a favorable prognosis similar to the core-binding factor leukemias [5,17]. Some studies have suggested that an NPM1 mutation with a FLT3 ITD mutation has a prognosis intermediate compared to either mutation in isolation; while some studies suggest this may only be the case when the FLT3 ITD mutation load is low [6,20]. There is limited data suggesting that the presence of multi-lineage dysplasia or an adverse karyotype do not affect the favorable prognosis of NPM1 mutations as long as FLT3 ITD is absent [21,22].

4.3. CEBPA (CCAAT Enhancer Binding Protein)

CEBPA is a transcription factor involved in neutrophil differentiation. CEBPA mutations are found in approximately 10% of AML and are more common in AML with a normal karyotype or with 9q deletions [4]. CEBPA mutations in AML may be biallelic, which accounts for approximately two-thirds of cases, or monoallelic, accounting for the remaining cases. In AML with a normal karyotype, isolated biallelic CEBPA mutations clearly confer a better prognosis, whereas a monoallelic mutation likely does not confer the same favorable prognosis [23,24,25]. A recent meta-analysis does not show a better prognosis with monoallelic CEBPA and in long term follow-up, biallelic CEBPA mutations show a longer overall survival (9.6 years) versus monoallelic CEBPA mutations (1.7 years) [23,24]. Biallelic mutations usually include one C-terminus and one N-terminus mutation and lead to absent expression of normal CEBPA [26,27]. The truncating N-terminal mutations result in a shortened CEBPA protein with a dominant negative effect [28]. The C-terminal mutations decrease dimerization or DNA binding [25].

4.4. KIT (v-KIT Hardy-Zuckerman 4 Feline Sa12rcoma Viral Oncogene Homolog)

KIT is a receptor tyrosine kinase involved in proliferation, differentiation, and survival. KIT mutations affect predominantly exons 8 or 17, lead to a gain of function, and occur in 2%–14% of all cases of AML [18,29,30,31]. The incidence of KIT mutations is higher in core-binding factor leukemia, being found in about 7%–46% of cases [32,33,34]. The presence of KIT mutations in core binding factor leukemia is generally accepted to be associated with a worse prognosis [35,36]. However, some studies have shown this to be the case only in t(8;21) AML [37,38] and other studies have failed to show a prognostic effect at all [18,39,40].

5. Other Gene Mutations in AML

With the advent of next generation sequencing, the number of genes found to be mutated in AML has drastically increased. However, the significance of many of these gene mutations is unclear as the genes that are independent predictors of poor outcome differ between studies. (Table 3) Some of these differences may be due to the methods used for mutation detection, but often the statistically significant findings are based on a relatively small subset of patients and therefore may not be reproducible. Additionally, a gene found to be significant in one study may not have been tested in earlier or concurrent studies. Many of these significant genes are also mutated in other myeloid neoplasms; therefore, the presence of one of these mutations is not specific or diagnostic of leukemia.
Table 3

Other gene mutations in AML.

GeneFrequencyEffect
ASXL13%–5% Associated with MDS, AML-MRC. Worse prognosis [19,29,42,43,44].
BCOR4% CN-AMLPossible worse prognosis [45].
DNMT3A20%Possible worse prognosis. May respond to high dose anthracyclines [18,29].
IDH16%–9% adultPossible worse prognosis [29,46,47,48,49].
1% pediatric
IDH28%–12% adultControversial. IDH2 R140 mutation with NPM1 associated with a favorable prognosis in one study [29,46,47,48,49].
1%–2% pediatric
MLL/KMT2A4%–14%MLL PTD shows worse prognosis in CN-AML [18,19,29,30,31].
NRAS8%–13% adult and pediatricNo clear impact on prognosis [50,51].
KRAS2% adultNo clear impact on prognosis [52].
9% pediatric
PHF62%–3%Associated with adverse outcome [29].
RUNX15%–18%Possibly poorer prognosis. May do better with allogeneic transplant [19,29,53].
TET27%–10% adultUnclear, some studies show adverse outcome especially in intermediate risk AML with isolated CEBPA or NPM1 [18,29,54,55].
1.5%–4% pediatric
TP532%–9% adultUnfavorable prognosis [18,19]. Mutations may be germline (Li-Fraumeni syndrome) and this possibility should be considered when testing especially in younger individuals.
1% pediatric
WT14%–11%Poorer outcome, especially in CN-AML [56,57].

MDS: myelodysplastic syndrome, AML-MRC: acute myeloid leukemia with myelodysplasia related changes, PTD: partial tandem duplication, CN-AML: cytogenetically normal acute myeloid leukemia.

All of these genes affect transcription either directly or through epigenetic regulation. (See Figure 1) DNMT3A, TET2, and IDH1/2 are involved in DNA methylation. The DNA methyl transferases (DNMT) add a methyl group to CpG islands leading to DNA methylation, the TET proteins convert the methyl group to a hydroxymethyl group. 5-Hydroxymethylation appears to have different effects than methylation and is also an intermediate step to de-methylation. Isocitrate dehydrogenase inhibits TET proteins through 2-hydroxyglutarate. NRAS, KRAS, BCOR, RUNX1, and WT1 all affect transcription. NRAS and KRAS affect transcription through the MEK/ERK pathway; while BCOR affects transcription by repression of BCL6. RUNX1 and WT1 are transcription factors; in addition, some WT1 isoforms appear to regulate mRNA. ASXL1, KMT2A (MLL), and PHF6 all affect chromatin remodeling. TP53 is a gatekeeper that monitors DNA repair and regulates apoptosis and the cell cycle.
Figure 1

Direct and indirect effects of ASXL1, BCOR, DNMT3A, IDH1, IDH2, KMT2A (MLL), KRAS, NRAS, PHF6, RUNX1, TET2, TP53, and WT1 on DNA transcription.

The role of testing for these other genes is not well established. Although routine testing of all AML cases is not recommended at this time, testing may be useful to better stratify individual patients. Several studies have proposed alternative stratification of AML patients using some of these genes [19,29,41]. These alternative algorithms risk stratify at least as well as the standard risk stratification given in Table 2 and the scheme proposed by Patel et al. appears to perform better than the standard risk stratification [29]. However, these are single studies that need to be confirmed before any of these algorithms are implemented as standard care. Other gene mutations in AML. MDS: myelodysplastic syndrome, AML-MRC: acute myeloid leukemia with myelodysplasia related changes, PTD: partial tandem duplication, CN-AML: cytogenetically normal acute myeloid leukemia.

5.1. ASXL1 (Additional Sex Combs like Transcriptional Regulator 1)

ASXL1 encodes a chromatin binding protein, which may enhance or repress gene transcription in localized areas by modification of chromatin structure. ASXL1 mutations are frequently found in myelodysplastic syndromes (MDS) and in AML but appear to be enriched in secondary AML, AML-MRC, and intermediate risk AML [42,43]. The overall frequency in AML is 3%–5% [18,29,30] but is 11%–17% in intermediate risk AML (including AML with a normal karyotype) [31,58]. ASXL1 mutations also increase with age, being more prevalent in patients over 60 and quite rare in children (approximately 1%) [58,59,60]. Most studies have shown that ASXL1 mutations are associated with a worse prognosis; however, studies have not always controlled for a history of MDS or presence of AML-MRC [19,29,44]. ASXL1 mutation status may change with relapse with both gains and losses of mutations being reported [61]. Direct and indirect effects of ASXL1, BCOR, DNMT3A, IDH1, IDH2, KMT2A (MLL), KRAS, NRAS, PHF6, RUNX1, TET2, TP53, and WT1 on DNA transcription.

5.2. BCOR (BCL6 Corepressor)

The BCOR gene is located on the X chromosome and, as its name suggests, plays a role in repression of BCL6 [62]. The BCOR protein interacts with histone deacetylases (HDAC) which may explain its role in AML. BCOR mutations in AML have been described in a limited number of studies [45,63,64]. BCOR mutations occur in about 4% of CN-AML and frequently coexist with DNMT3A mutations [45]. BCOR mutations have also been described in 25% of AML cases with trisomy 13 [63]. The effect of BCOR mutations in prognosis is unclear at this time. One study showed decreased event free survival but no difference in overall survival in multivariate analysis [45].

5.3. DNMT3A (DNA Methyltransferase 3A)

DNMT3A is a DNA methyltransferase involved in the epigenetic regulation of the genome through methylation. Mutations in DNMT3A are quite common in AML, occurring in approximately 20% of patients. The most common mutation is a substitution of the amino acid arginine at position 882 (R882) [65]. DNMT3A mutations often co-occur with FLT3 ITD, NPM1, IDH1, and IDH2 mutations but are rare with t(15;17) and core binding factor rearrangements [65]. DNMT3A mutations in some studies have been associated with worse prognosis; however, this may be overcome by high dose anthracycline chemotherapy [18,29].

5.4. IDH1 and IDH2 (Isocitrate Dehydrogenase 1 and 2)

IDH1 and IDH2 are genes involved in metabolism that appear to play an epigenetic role in histone and possibly DNA methylation [66]. Mutations in IDH1 and IDH2 occur at the active isocitrate binding site and lead to increased level of 2-hydroxyglutarate [67]. IDH mutations often occur with NPM1 mutations and some studies have shown an impact only with NPM1 but others have not [29,46,68]. When evaluated together, IDH1 and IDH2 mutations have been reported to have a favorable, neutral, and adverse effect on prognosis in AML with a normal karyotype [29,46,47,48]. However, despite an apparently similar biological effect, different mutations may have disparate prognostic impact. This fact makes it difficult to evaluate studies that grouped IDH1 and IDH2 mutations and the different IDH2 mutations together. IDH1 mutations affect either the arginine residue at position 132 or 170 (R132 or R170) and occur in 6%–9% of adult AML cases but only 1% of pediatric AML [29,30,31,46,49,59]. These mutations are exclusive of each other and exclusive of the IDH2 mutation. When evaluated as a separate group, mutations in IDH1 appear to have an unfavorable prognosis [49]. IDH2 mutations may affect either the arginine residue at position 140 or 172 (R140 or R172) and occur in 8%–12% of adult AML cases but only 1%–2% of pediatric cases [29,30,31,46,49,59,69]. However, only the R140 mutation appears to have prognostic significance [29,70]. The R140 mutation in IDH2 has been shown to be associated with a favorable outcome in intermediate risk AML with NPM1 mutation [29].

5.5. MLL/KMT2A (Mixed Lineage Leukemia/Lysine (K)-Specific Methyltransferase 2A)

The MLL gene (recently renamed to KMT2A) is a histone methyltransferase that regulates gene transcription through histone modification. Rearrangements involving MLL are well-known to cause acute lymphoblastic leukemia (ALL), AML, or mixed phenotype acute leukemia. However, partial tandem duplications of MLL (MLL PTD) occur predominantly in AML and are rare in ALL [71]. Approximately 4%–14% of AML cases will have an MLL PTD, which has been associated with a poor prognosis especially in AML with a normal karyotype [18,19,29,30,31].

5.6. NRAS and KRAS (Neuroblastoma RAS Viral (v-ras) Oncogene Homolog and Kirsten Rat Sarcoma Viral Oncogene Homolog)

KRAS and NRAS belong to the RAS GTPase family of genes. NRAS mutations in AML are fairly common being found in 8%–13% of cases in adults and children [17,29,30,31,59]. KRAS mutations are less common in adults being found in only 2% of cases but are more common in children where they account for about 9% of cases [29,59]. RAS mutations are more common in core binding factor leukemia, especially inv(16) [38,72]. Although some smaller studies have suggested a worse outcome; in large adult and pediatric studies, NRAS mutations have had no clear impact on outcome [50,51]. KRAS mutations also do not appear to have an impact on outcome [52].

5.7. PHF6 (Plant Homeodomain Finger 6)

PHF6 is an X-linked gene that appears to play a role in chromatin remodeling although its precise functions have not yet been elucidated [73]. Germline loss of function mutations are associated with X-linked intellectual disability disorders [74]. PHF6 mutations occur in 2%–3% of adult AML and occur more frequently in males than females [29,75,76]. PHF6 mutations are associated with adverse outcome in intermediate risk AML patients who are negative for FLT3 ITD and it has been suggested that mutations in PHF6 as well as other genes may be useful in stratifying this subgroup of AML patients [29]. Although this study result appears promising, further studies are needed as these conclusions were drawn on a limited number of patients. Only 14 patients had PHF6 mutations in the test cohort of 398 patients and only 10 patients had PHF6 mutations and were FLT3 ITD negative (Patel, et al., 2012 supplemental material) [29].

5.8. RUNX1 (Runt Related Transcription Factor 1)

RUNX1 (previously known as AML1) encodes the alpha subunit of core binding factor. Core binding factor is a heterodimer composed of an alpha and beta subunit that is in involved in transcription. Translocations involving RUNX1 are found in AML with recurrent cytogenetic abnormalities (AML with t(8;21), RUNX1-RUNX1T1) and also in ALL. Mutations of RUNX1 also occur in 5%–18% of AML, but are more common in intermediate risk AML and poor risk AML without a complex karyotype [19,29,31,53]. Germline RUNX1 mutations are found in familial platelet disorder which predisposes to AML and less frequently T-lymphoblastic leukemia (TALL) [77]. Although several studies have shown a poorer prognosis with RUNX1, some studies have failed to show an effect [19,29,53]. A study by Gaidzik, et al. suggested that patients with RUNX1 mutations did better with allogeneic transplant compared to autologous transplant or chemotherapy alone [53].

5.9. TET2 (Tet Methylcytosine Dioxygenase 2)

TET2 is an epigenetic modifier that converts methylcytosine to 5-hydroxymethylcytosine and plays a role in myelopoiesis. Mutations in TET2 are found in 7%–10% of adult AML patients and 1.5%–4% of pediatric AML [59,78,79]. Mutations in TET2 are highly variable and include nonsense mutations, deletions (frameshift and non-frameshift), missense mutations, and splice site mutations. All mutations, however, appear to cause loss of function and decreased hydroxymethylation of DNA [78]. NPM1 and TET2 defects are significantly correlated and FLT3-ITD and FLT3-TKD aberrations are often present together with TET2 mutations [54,78]. TET2 and IDH mutations seldom co-existed in the same patient as may be expected since IDH mutations abrogate the activity of TET2 [31,54]. The frequency of TET2 mutations in AML increases with age [31]. Of note, TET2 mutations have been found in elderly females with no clear evidence of hematologic disease [80]. The prognostic effect of TET2 is unclear with some studies showing an inferior survival in AML with a normal karyotype, especially those with favorable genetic mutations (isolated CEBPA and NPM1), and other studies showing no effect [18,29,54,55].

5.10. TP53 (Tumor Protein p53)

TP53 is a well-known tumor suppressor gene that regulates the cell cycle in response to cellular stress. Mutations in TP53 occur in 2%–9% of adult AML and approximately 1% of pediatric AML [18,19,29,59]. TP53 mutations are highly associated with a complex karyotype and rarely occur with CEBPA, NPM1, FLT3 ITD, ASXL1, or RUNX1 mutations [19]. As in other cancers, mutations of TP53 in AML are associated with an unfavorable prognosis [18,19]. The presence of TP53 mutation in a young person with AML brings up the possibility of a germline mutation and underlying Li-Fraumeni syndrome. If testing for TP53 will be performed, the patient should be counselled regarding this possibility.

5.11. WT1 (Wilms Tumor 1)

WT1 encodes a transcription factor that plays an important role in urogenital development and appears to have a tumor suppressor role in renal tissues but an oncogenic role in leukemia [81]. Overexpression of WT1 in AML is linked with poor outcome and relapse in several studies especially in AML with a normal karyotype [82,83]. Monitoring levels of WT1 also has shown usefulness in monitoring for minimal residual disease [84,85]. Mutations in WT1 also occur, being found 4%–11% of AML cases [29,30,31,43,59]. WT1 mutations also appear to have an association with poor outcome in AML with a normal karyotype [56,57].

6. Conclusions

Genetics play an increasingly important role in the risk stratification and management of AML patients. Current standard of care combines cytogenetic results with testing for mutations in FLT3, NPM1, CEBPA, and KIT. The presence of FLT3 ITD, NPM1, or CEBPA mutations refines the prognosis of patient with AML with normal karyotype which is normally intermediate risk. FLT3 ITD modifies the risk to poor, while NPM1 and biallelic CEBPA mutations improve the prognosis to favorable. KIT mutations in one of the core binding factor leukemias worsen the prognosis from good to intermediate. As molecular testing methods advance, routinely testing multiple genes for mutations becomes more feasible and, indeed, gene panels that look for mutations in multiple genes are already available. Mutations in several genes appear to have prognostic impact. However, studies in the literature do not always agree on which mutations have independent prognostic effect and our understanding of the impact of co-existing mutations and the interplay with cytogenetic abnormalities is limited. Mutations in ASXL1, MLL, TP53, and WT1 have been shown in multiple studies to be independently associated with a poorer prognosis. Mutations in BCOR, DNMT3A, IDH1, PHF6, RUNX1 and TET2 are possibly associated with a poorer prognosis but have either not been confirmed in multiple studies or have some conflicting results. KRAS and NRAS mutations do not appear to have an effect on prognosis. As prognosis guides therapy, these gene mutations could play a role in guiding therapy in the future. Two genes appear promising for more specifically guiding therapy in the future. AML with DNMT3A mutations may respond better to high dose anthracyclines and AML with RUNX1 mutations may have better outcomes with allogeneic transplant. These findings are promising that testing for mutations in these additional genes can improve the current risk stratification and patient care; however, they need to be confirmed in additional studies before routine clinical implementation.
  83 in total

1.  Implications of NRAS mutations in AML: a study of 2502 patients.

Authors:  Ulrike Bacher; Torsten Haferlach; Claudia Schoch; Wolfgang Kern; Susanne Schnittger
Journal:  Blood       Date:  2006-01-24       Impact factor: 22.113

2.  TET2 gene mutation is unfavorable prognostic factor in cytogenetically normal acute myeloid leukemia patients with NPM1+ and FLT3-ITD - mutations.

Authors:  Xiaopeng Tian; Yang Xu; Jia Yin; Hong Tian; Suning Chen; Depei Wu; Aining Sun
Journal:  Int J Hematol       Date:  2014-05-24       Impact factor: 2.490

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

Authors:  Vera Grossmann; Enrico Tiacci; Antony B Holmes; Alexander Kohlmann; Maria Paola Martelli; Wolfgang Kern; Ariele Spanhol-Rosseto; Hans-Ulrich Klein; Martin Dugas; Sonja Schindela; Vladimir Trifonov; Susanne Schnittger; Claudia Haferlach; Renato Bassan; Victoria A Wells; Orietta Spinelli; Joseph Chan; Roberta Rossi; Stefano Baldoni; Luca De Carolis; Katharina Goetze; Hubert Serve; Rudolf Peceny; Karl-Anton Kreuzer; Daniel Oruzio; Giorgina Specchia; Francesco Di Raimondo; Francesco Fabbiano; Marco Sborgia; Arcangelo Liso; Laurent Farinelli; Alessandro Rambaldi; Laura Pasqualucci; Raul Rabadan; Torsten Haferlach; Brunangelo Falini
Journal:  Blood       Date:  2011-10-19       Impact factor: 22.113

4.  ASXL1 exon 12 mutations are frequent in AML with intermediate risk karyotype and are independently associated with an adverse outcome.

Authors:  S Schnittger; C Eder; S Jeromin; T Alpermann; A Fasan; V Grossmann; A Kohlmann; T Illig; N Klopp; H-E Wichmann; K-A Kreuzer; C Schmid; P Staib; R Peceny; N Schmitz; W Kern; C Haferlach; T Haferlach
Journal:  Leukemia       Date:  2012-09-11       Impact factor: 11.528

5.  Adverse prognostic significance of KIT mutations in adult acute myeloid leukemia with inv(16) and t(8;21): a Cancer and Leukemia Group B Study.

Authors:  Peter Paschka; Guido Marcucci; Amy S Ruppert; Krzysztof Mrózek; Hankui Chen; Rick A Kittles; Tamara Vukosavljevic; Danilo Perrotti; James W Vardiman; Andrew J Carroll; Jonathan E Kolitz; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2006-08-20       Impact factor: 44.544

6.  Prognostic impact of c-KIT mutations in core binding factor leukemias: an Italian retrospective study.

Authors:  Roberto Cairoli; Alessandro Beghini; Giovanni Grillo; Gianpaolo Nadali; Francesca Elice; Carla Barbara Ripamonti; Patrizia Colapietro; Michele Nichelatti; Laura Pezzetti; Monia Lunghi; Antonio Cuneo; Assunta Viola; Felicetto Ferrara; Mario Lazzarino; Francesco Rodeghiero; Giovanni Pizzolo; Lidia Larizza; Enrica Morra
Journal:  Blood       Date:  2005-12-29       Impact factor: 22.113

Review 7.  Genetic profiling in acute myeloid leukaemia--where are we and what is its role in patient management.

Authors:  Yishai Ofran; Jacob M Rowe
Journal:  Br J Haematol       Date:  2012-12-13       Impact factor: 6.998

Review 8.  Advances in molecular genetics and treatment of core-binding factor acute myeloid leukemia.

Authors:  Krzysztof Mrózek; Guido Marcucci; Peter Paschka; Clara D Bloomfield
Journal:  Curr Opin Oncol       Date:  2008-11       Impact factor: 3.645

Review 9.  Mutational landscape of AML with normal cytogenetics: biological and clinical implications.

Authors:  Maria Paola Martelli; Paolo Sportoletti; Enrico Tiacci; Massimo F Martelli; Brunangelo Falini
Journal:  Blood Rev       Date:  2012-12-20       Impact factor: 8.250

10.  IDH1 and IDH2 mutations are frequent genetic alterations in acute myeloid leukemia and confer adverse prognosis in cytogenetically normal acute myeloid leukemia with NPM1 mutation without FLT3 internal tandem duplication.

Authors:  Peter Paschka; Richard F Schlenk; Verena I Gaidzik; Marianne Habdank; Jan Krönke; Lars Bullinger; Daniela Späth; Sabine Kayser; Manuela Zucknick; Katharina Götze; Heinz-A Horst; Ulrich Germing; Hartmut Döhner; Konstanze Döhner
Journal:  J Clin Oncol       Date:  2010-06-21       Impact factor: 50.717

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  26 in total

Review 1.  Managing myelofibrosis (MF) that "blasts" through: advancements in the treatment of relapsed/refractory and blast-phase MF.

Authors:  Robyn M Scherber; Ruben A Mesa
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

2.  New insights into transcriptional and leukemogenic mechanisms of AML1-ETO and E2A fusion proteins.

Authors:  Jian Li; Chun Guo; Nickolas Steinauer; Jinsong Zhang
Journal:  Front Biol (Beijing)       Date:  2016-09-03

3.  Comprehensive prognostic scoring systems could improve the prognosis of adult acute myeloid leukemia patients.

Authors:  Fan Zhou; Fen Zhou; Mengyi Du; Lin Liu; Tao Guo; Linghui Xia; Runming Jin; Yu Hu; Heng Mei
Journal:  Int J Hematol       Date:  2019-08-22       Impact factor: 2.490

4.  Bone marrow fibrosis at diagnosis predicts survival for primary acute myeloid leukemia.

Authors:  Z Wu; R Chen; L Wu; L Zou; F Ding; M Wang; X Liu
Journal:  Clin Transl Oncol       Date:  2017-06-06       Impact factor: 3.405

5.  Molecular profiling of adult acute myeloid and lymphoid leukemia in a major referral center in Lebanon: a 10-year experience report and review of the literature.

Authors:  Nada Assaf; Jean El-Cheikh; Ali Bazarbachi; Ziad Salem; Chantal Farra; Zaher Chakhachiro; Samer Nassif; Ghazi Zaatari; Rami Mahfouz
Journal:  Mol Biol Rep       Date:  2019-01-30       Impact factor: 2.316

6.  The prevalence and clinical profiles of FLT3-ITD, FLT3-TKD, NPM1, C-KIT, DNMT3A, and CEBPA mutations in a cohort of patients with de novo acute myeloid leukemia from southwest China.

Authors:  Haimei Gou; Juan Zhou; Yuanxin Ye; Xuejiao Hu; Mengqiao Shang; Jingya Zhang; Zhenzhen Zhao; Wu Peng; Yanhong Zhou; Yi Zhou; Xingbo Song; Xiaojun Lu; Binwu Ying
Journal:  Tumour Biol       Date:  2015-12-16

7.  Targeting sphingosine kinase 1 induces MCL1-dependent cell death in acute myeloid leukemia.

Authors:  Jason A Powell; Alexander C Lewis; Wenying Zhu; John Toubia; Melissa R Pitman; Craig T Wallington-Beddoe; Paul A B Moretti; Diana Iarossi; Saumya E Samaraweera; Nik Cummings; Hayley S Ramshaw; Daniel Thomas; Andrew H Wei; Angel F Lopez; Richard J D'Andrea; Ian D Lewis; Stuart M Pitson
Journal:  Blood       Date:  2016-12-12       Impact factor: 22.113

8.  Regulation of Neuronal Survival by Nucleophosmin 1 (NPM1) Is Dependent on Its Expression Level, Subcellular Localization, and Oligomerization Status.

Authors:  Jason A Pfister; Santosh R D'Mello
Journal:  J Biol Chem       Date:  2016-08-10       Impact factor: 5.157

Review 9.  Protein Phosphatase 2A as a Therapeutic Target in Acute Myeloid Leukemia.

Authors:  Elena Arriazu; Raffaella Pippa; María D Odero
Journal:  Front Oncol       Date:  2016-04-06       Impact factor: 6.244

Review 10.  Linking Pesticide Exposure with Pediatric Leukemia: Potential Underlying Mechanisms.

Authors:  Antonio F Hernández; Pablo Menéndez
Journal:  Int J Mol Sci       Date:  2016-03-29       Impact factor: 5.923

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