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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphar.2017.00897</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Gene Mutations as Emerging Biomarkers and Therapeutic Targets for Relapsed Acute Myeloid Leukemia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Aziz</surname> <given-names>Habsah</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/457801/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ping</surname> <given-names>Chow Y.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Alias</surname> <given-names>Hamidah</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/461969/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ab Mutalib</surname> <given-names>Nurul-Syakima</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/355856/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jamal</surname> <given-names>Rahman</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/465671/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia</institution>, <addr-line>Kuala Lumpur</addr-line>, <country>Malaysia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Paediatrics, Faculty of Medicine, Universiti Kebangsaan Malaysia</institution>, <addr-line>Kuala Lumpur</addr-line>, <country>Malaysia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Moyra Smith, University of California, Irvine, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Naval Daver, University of Texas MD Anderson Cancer Center, United States; Yunbao Pan, Wuhan University, China</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Rahman Jamal <email>rahmanj&#x00040;ppukm.ukm.edu.my</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Cancer Molecular Targets and Therapeutics, a section of the journal Frontiers in Pharmacology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>897</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>07</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>11</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Aziz, Ping, Alias, Ab Mutalib and Jamal.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Aziz, Ping, Alias, Ab Mutalib and Jamal</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>It is believed that there are key differences in the genomic profile between adult and childhood acute myeloid leukemia (AML). Relapse is the significant contributor of mortality in patients with AML and remains as the leading cause of cancer death among children, posing great challenges in the treatment of AML. The knowledge about the genomic lesions in childhood AML is still premature as most genomic events defined in children were derived from adult cohorts. However, the emerging technologies of next generation sequencing have narrowed the gap of knowledge in the biology of AML by the detection of gene mutations for each sub-type which have led to the improvement in terms of prognostication as well as the use of targeted therapies. In this review, we describe the recent understanding of the genomic landscape including the prevalence of mutation, prognostic impact, and targeted therapies that will provide an insight into the pathogenesis of AML relapse in both adult and childhood cases.</p></abstract>
<kwd-group>
<kwd>acute myeloid leukemia</kwd>
<kwd>mutation</kwd>
<kwd>adult</kwd>
<kwd>childhood</kwd>
<kwd>relapse</kwd>
<kwd>biomarker</kwd>
</kwd-group>
<contract-num rid="cn001">DIP-2014-036</contract-num>
<contract-sponsor id="cn001">Universiti Kebangsaan Malaysia<named-content content-type="fundref-id">10.13039/501100004515</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="134"/>
<page-count count="14"/>
<word-count count="12276"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Acute myeloid leukemia (AML) is a blood cancer which characterized by the infiltration of proliferative, clonal, abnormally differentiated, and occasionally poorly differentiated cells of the hematopoietic system (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>), as a consequence of arrested myeloid differentiation. The biology of AML is associated with its age variation, as evidenced by the significant variability of genomic alterations in AML from infancy to adulthood. There is also a significant age-based incidence, with elevated incidence reported in both infants and older adults (Meshinchi and Arceci, <xref ref-type="bibr" rid="B82">2007</xref>; Pui et al., <xref ref-type="bibr" rid="B96">2011</xref>; Jay and Schiffer, <xref ref-type="bibr" rid="B57">2012</xref>; Tasian et al., <xref ref-type="bibr" rid="B121">2014</xref>; Tarlock and Meshinchi, <xref ref-type="bibr" rid="B120">2015</xref>).</p>
<p>AML is frequently diagnosed in very young children and comprises of nearly 25% of childhood leukemias. Nearly 800 cases of children and adolescents are diagnosed with AML in the United States annually (Meshinchi and Arceci, <xref ref-type="bibr" rid="B82">2007</xref>; Pui et al., <xref ref-type="bibr" rid="B96">2011</xref>; Tasian et al., <xref ref-type="bibr" rid="B121">2014</xref>). Adults have a higher incidence and AML is generally considered as a disease of the elderly with a median age at diagnosis of around 70 years (Jay and Schiffer, <xref ref-type="bibr" rid="B57">2012</xref>; Tarlock and Meshinchi, <xref ref-type="bibr" rid="B120">2015</xref>). The incidence increases with age, evidenced by 1.3 per 100 000 population in patients aged less than 65 years old as compared to 12.2 per 100 000 population in patients aged over 65 years old (De Kouchkovsky and Abdul-Hay, <xref ref-type="bibr" rid="B23">2016</xref>). Approximately 19,950 new AML cases were diagnosed and 10,430 patients succumbed to the disease in the USA in 2016 (Howlader et al., <xref ref-type="bibr" rid="B52">2017</xref>). In Malaysia, 2,477 cases with 1,330 new cases of AML were reported for a period of 5 years beginning 2007 until 2011 (Ab Manan et al., <xref ref-type="bibr" rid="B1">2016</xref>). As such, new treatment strategies are urgently needed to improve the patients&#x00027; survival outcome.</p>
<p>The treatment of AML has not changed drastically since 30 years ago (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B26">2010</xref>), and only 60&#x02013;70% of childhood AML patients achieved long-term cure with the current intensive cytotoxic chemotherapy regimens (Pui et al., <xref ref-type="bibr" rid="B96">2011</xref>; Moore et al., <xref ref-type="bibr" rid="B86">2013</xref>). The percentage of survival is even lower in adult patients aged 60 years or younger, ranging from 35 to 40%. The cure rate is only 5 to 15% for patients aged above 60 years (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B26">2010</xref>, <xref ref-type="bibr" rid="B27">2015</xref>). Morbidity and mortality in patients with AML is significantly contributed by the primary chemo-refractory disease and relapses. Hence better understanding of the genetic lesions underpinning refractory and relapsed AML is pivotal for developing new therapeutic strategies.</p>
</sec>
<sec id="s2">
<title>Relapsed acute myeloid leukemia</title>
<p>Relapse after achieving remission remains as one of the major obstacles in improving the patients&#x00027; overall survival rate and to achieve long term survival for patients with AML. In adult AML, recurrence usually occurs within 3 years post-treatment in most patients (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>). Based on the study carried out by the Eastern Cooperative Oncology Group (ECOG) between 1983 and 1997 on newly diagnosed adult AML patients aged &#x0003E;55 years, 65% of them relapsed and had a median survival of 4.7 months, with only 6% who survived more than 5 years. In contrast, better outcome was reported in younger adult patients (aged &#x0003C; 55 years) in which only 35% of them relapsed (Rowe et al., <xref ref-type="bibr" rid="B103">2005</xref>). The poorer outcome in older patients may be partly attributed to their lower tolerance to side effects induced by intensive chemotherapies (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>).</p>
<p>Meanwhile, the median time to relapse in childhood AML has been rather stable for consecutive decades (1976&#x02013;1991:0.93 years, 1991&#x02013;1997:0.76 years, 2002&#x02013;2008:0.8 years), (Rubnitz et al., <xref ref-type="bibr" rid="B105">2014</xref>) and relapsed AML remains as the leading cause of cancer deaths among children accounting for more than 50% of childhood leukemia-related deaths (Moore et al., <xref ref-type="bibr" rid="B86">2013</xref>). The response rate to induction chemotherapy in children with AML is relatively higher than adults. This may be due to the children having a higher tolerance level against intensive chemotherapy, lower prevalence of co-morbidities and more intensive supportive care measures (Tasian et al., <xref ref-type="bibr" rid="B121">2014</xref>).</p>
<p>The differences between childhood and adult AML can be explained by the distinct inherent biology of the disease which is inclusive of the discordant incidences of leukemia-associated genetic alterations, pattern of epigenetic changes, and rates of remission induction (Radhi et al., <xref ref-type="bibr" rid="B98">2010</xref>; Creutzig et al., <xref ref-type="bibr" rid="B19">2012</xref>; Puumala et al., <xref ref-type="bibr" rid="B97">2013</xref>; Schuback et al., <xref ref-type="bibr" rid="B108">2013</xref>). The data derived from studies involving both groups of AML patients suggested that there is a pressing need to decrease the number of cases who will relapse and to improve cure rates.</p>
<p>Certainly, major improvement in the treatment strategies is required to improve the success rate for relapsed AML. There is no specific tailored therapy that suitable for every patient. The treatment of relapsed AML is rather varied and dependent on several factors such as age, general health status, remission duration, and genetic aberrations. In the adult setting, most of the relapsed AML patients will be administered with intensified salvage regimens such as MEC (mitoxantrone, etoposide, cytarabine), or FLAG-IDA (fludarabine, granulocyte colony-stimulating factor, idarubicin) followed by allogeneic hematopoietic stem cell transplant (HSCT) whereas low intensity therapy or best supportive care will be offered to adult patients who are physically weak and could not tolerate high dose therapies (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>). For children with relapsed AML, reinduction with chemotherapy using FLAG is commonly practiced with good early response by adding the liposomal daunorubicin to FLAG (Kaspers et al., <xref ref-type="bibr" rid="B62">2013</xref>; Creutzig et al., <xref ref-type="bibr" rid="B20">2014</xref>). Remarkably, CBF-AML relapsed patients who received FLAG plus liposomal daunorubicin had a significantly better 4-year overall survival (82 vs. 58%) as compared to those who received FLAG alone (Kaspers et al., <xref ref-type="bibr" rid="B62">2013</xref>). Similar to adult AML, allogeneic HSCT is offered when suitable matched donor is available and the patient is in remission.</p>
<p>Thus far, the prognosis of relapsed AML remains dismal even with allogeneic HSCT (Thol et al., <xref ref-type="bibr" rid="B124">2015</xref>). It is believed that the leukemia stem cells (LSCs) are the source of chemotherapy resistance and likely responsible for the relapse. The LSCs are similar in characteristics to hematopoietic stem cells (HSCs) but they give rise to undifferentiated leukemic blasts (Guzman et al., <xref ref-type="bibr" rid="B39">2007a</xref>). Liran et al. identified pre-leukemic HSCs in the remission sample of an AML patient that harbored <italic>DNMT3A</italic> mutation. Unlike the AML blasts, these pre-leukemic HSCs survived the induction chemotherapy (Shlush et al., <xref ref-type="bibr" rid="B114">2014</xref>). Few agents, including parthenolide (PTL) (Guzman et al., <xref ref-type="bibr" rid="B40">2005</xref>, <xref ref-type="bibr" rid="B41">2007b</xref>), 4-benzyl-2-methyl-1,2,4-thiadiazolidine-3,5-dione (TDZD-8) (Guzman et al., <xref ref-type="bibr" rid="B39">2007a</xref>), and Fenretinide (Zhang et al., <xref ref-type="bibr" rid="B134">2013</xref>) have been shown to be effective in eradicating LSCs by targeting the LSCs enriched CD34<sup>&#x0002B;</sup>CD38<sup>&#x02212;</sup> population. Further studies are warranted to evaluate the effectiveness of these agents as the treatment regimens for relapsed AML.</p>
<p>The genome profiling of matched de novo and relapsed AML by whole genome sequencing (WGS) has revealed the existence of two major patterns of clonal evolution underlying AML progression. The first pattern suggested that the founding clone gained additional mutations and evolved into the relapse clone, whereas the second pattern suggested that the subclone of the founding clone which survived initial therapy gained additional mutations and expanded at relapse (Ding et al., <xref ref-type="bibr" rid="B25">2012</xref>). Therefore, understanding of the AML genome and development of targeted therapies which capable to eliminate both founding clones and subclones is key to improving the survival of relapsed AML.</p>
</sec>
<sec id="s3">
<title>Commonly mutated genes in AML and relapse prognosis</title>
<p>Cytogenetic profiling remains as the gold standard for guiding risk-adapted treatment plan in AML patients. However, the high relapse risk among AML patients suggested that a more defined risk stratification strategy and better treatment regimens are needed. In recent years, a long list of mutated genes was identified through various sequencing and genotyping approaches. In this review, we describe the prevalence and prognostic impact of genes which are frequently mutated in both childhood and adult AML according to the gene function categories. The prevalence and prognostic impact from various studies are illustrated in Tables <xref ref-type="table" rid="T1">1</xref>, <xref ref-type="table" rid="T2">2</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>The Prevalence of gene mutation in AML according to functional categories.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Gene</bold></th>
<th valign="top" align="left"><bold>Technique (n)</bold></th>
<th valign="top" align="left"><bold>Sample size (<italic>n</italic>)</bold></th>
<th valign="top" align="left" colspan="2" style="border-bottom: thin solid #000000;"><bold>Frequency of mutation (%)</bold></th>
<th valign="top" align="left"><bold>Region</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>Adult</bold></th>
<th valign="top" align="center"><bold>Childhood</bold></th>
<th/>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bbbdc0"><bold>NUCLEOPLASMIN</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>NPMI</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">300</td>
<td valign="top" align="center">48.0</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">D&#x000F6;hner et al., <xref ref-type="bibr" rid="B28">2005</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">295</td>
<td/>
<td valign="top" align="center">7.8</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Brown et al., <xref ref-type="bibr" rid="B14">2007</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (1) Genotyping (187)</td>
<td valign="top" align="left">188</td>
<td valign="top" align="center">23.9</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Mardis et al., <xref ref-type="bibr" rid="B79">2009</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Targeted Sequencing</td>
<td valign="top" align="left">195</td>
<td/>
<td valign="top" align="center">11.3</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Damm et al., <xref ref-type="bibr" rid="B22">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Direct Sequencing (190) &#x00026; Amplicon Deep Sequencing (810)</td>
<td valign="top" align="left">1000</td>
<td valign="top" align="center">29.2</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">27.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">4.0</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">216</td>
<td/>
<td valign="top" align="center">4.2</td>
<td valign="top" align="left">Argentina</td>
<td valign="top" align="left">Rubio et al., <xref ref-type="bibr" rid="B104">2016</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WES (22) &#x00026; Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">3.4</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bbbdc0"><bold>DNA METHYLATION</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>DNMT3A</italic></td>
<td valign="top" align="left">WGS (1) Targeted Sequencing (280)</td>
<td valign="top" align="left">281</td>
<td valign="top" align="center">22.1</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Ley et al., <xref ref-type="bibr" rid="B74">2010</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">180</td>
<td/>
<td valign="top" align="center">0</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Ho et al., <xref ref-type="bibr" rid="B47">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">195</td>
<td/>
<td valign="top" align="center">1.0</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Thol et al., <xref ref-type="bibr" rid="B123">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">1.2</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">26.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Direct Sequencing</td>
<td valign="top" align="left">71</td>
<td valign="top" align="center">24.0</td>
<td/>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Shlush et al., <xref ref-type="bibr" rid="B114">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>IDH1</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">61</td>
<td valign="top" align="center">7.6</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Paschka et al., <xref ref-type="bibr" rid="B91">2010</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (1) Genotyping (187)</td>
<td valign="top" align="left">188</td>
<td valign="top" align="center">8.5</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Mardis et al., <xref ref-type="bibr" rid="B79">2009</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">257</td>
<td valign="top" align="center">4.4</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Ho et al., <xref ref-type="bibr" rid="B46">2010</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">274</td>
<td/>
<td valign="top" align="center">0</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Ho et al., <xref ref-type="bibr" rid="B46">2010</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">227</td>
<td/>
<td valign="top" align="center">1.3</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Andersson et al., <xref ref-type="bibr" rid="B7">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">1.1</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>IDH2</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">70</td>
<td valign="top" align="center">8.7</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Paschka et al., <xref ref-type="bibr" rid="B91">2010</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">227</td>
<td/>
<td valign="top" align="center">2.2</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Andersson et al., <xref ref-type="bibr" rid="B7">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">180</td>
<td/>
<td valign="top" align="center">2.2</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Ho et al., <xref ref-type="bibr" rid="B47">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">0.6</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>IDH1 &#x00026; IDH2</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">459</td>
<td/>
<td valign="top" align="center">4.0</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Damm et al., <xref ref-type="bibr" rid="B22">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">20.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>TET2</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">169</td>
<td/>
<td valign="top" align="center">6.5</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Kutny et al., <xref ref-type="bibr" rid="B69">2015</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">104</td>
<td/>
<td valign="top" align="center">3.8</td>
<td valign="top" align="left">Netherlands</td>
<td valign="top" align="left">Langemeijer et al., <xref ref-type="bibr" rid="B70">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Amplicon Deep Sequencing</td>
<td valign="top" align="left">318</td>
<td valign="top" align="center">27.4</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Weissmann et al., <xref ref-type="bibr" rid="B128">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">1.7</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">8.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bbbdc0"><bold>ACTIVATED SIGNALING PATHWAY</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3-ITD</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">160</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">21</td>
<td valign="top" align="left">Netherlands</td>
<td valign="top" align="left">Cloos et al., <xref ref-type="bibr" rid="B18">2006</xref>&#x02014;Diagnosis Sample</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">37</td>
<td valign="top" align="center">19</td>
<td valign="top" align="left">Netherlands</td>
<td valign="top" align="left">Cloos et al., <xref ref-type="bibr" rid="B18">2006</xref>&#x02014;Relapse Sample</td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3-ITD</italic></td>
<td valign="top" align="left">Targeted sequencing</td>
<td valign="top" align="left">195</td>
<td/>
<td valign="top" align="center">12.8</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Thol et al., <xref ref-type="bibr" rid="B123">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3-ITD</italic></td>
<td valign="top" align="left">Direct Ssequencing (190) &#x00026; Amplicon Deep Sequencing (810)</td>
<td valign="top" align="left">1000</td>
<td valign="top" align="center">15.9</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3-ITD</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td valign="top" align="center">15</td>
<td/>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3-TKD</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">7.4</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3</italic></td>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">28.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3-ITD/FLT3-TKD</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">216</td>
<td/>
<td valign="top" align="center">17.9</td>
<td valign="top" align="left">Argentina</td>
<td valign="top" align="left">Rubio et al., <xref ref-type="bibr" rid="B104">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3-ITD</italic></td>
<td valign="top" align="left">WES (22) and Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">10.8</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>NRAS</italic></td>
<td valign="top" align="left">WGS(1) Genotyping (187)</td>
<td valign="top" align="left">188</td>
<td valign="top" align="center">9.3</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Mardis et al., <xref ref-type="bibr" rid="B79">2009</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>NRAS</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">12.0</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>K-RAS</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">6.9</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>NRAS OR KRAS</italic></td>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">12.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>NRAS</italic></td>
<td valign="top" align="left">WES (22) and Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">12.7</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>K-RAS</italic></td>
<td valign="top" align="left">WES (22) and Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">3.4</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>KIT</italic></td>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">4.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">12.0</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WES (22) and Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">20.1</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bbbdc0"><bold>MYELOID TRANSCRIPTION FACTOR</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>CEBPA</italic></td>
<td valign="top" align="left">Direct Sequencing (190) &#x00026; Amplicon Deep Sequencing (810)</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">7.5</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">6.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">7.0</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">216</td>
<td/>
<td valign="top" align="center">1.9</td>
<td valign="top" align="left">Argentina</td>
<td valign="top" align="left">Rubio et al., <xref ref-type="bibr" rid="B104">2016</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WES (22) and Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">11</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>RUNX1</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">945</td>
<td valign="top" align="center">5.6</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Gaidzik et al., <xref ref-type="bibr" rid="B33">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Direct Sequencing (190) &#x00026; Amplicon Deep Sequencing (810)</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">17.9</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">10.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">1.3</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">178</td>
<td/>
<td valign="top" align="center">5.6</td>
<td valign="top" align="left">Iraq &#x00026; jordan</td>
<td valign="top" align="left">Al-Kzayer et al., <xref ref-type="bibr" rid="B5">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bbbdc0"><bold>CHROMATIN REMODELING</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>ASXL1</italic></td>
<td valign="top" align="left">Direct Sequencing (190) &#x00026; Amplicon Deep Sequencing (810)</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">15.4</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">740</td>
<td valign="top" align="center">17.2</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Schnittger et al., <xref ref-type="bibr" rid="B107">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">1.1</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>ASXL2</italic></td>
<td valign="top" align="left">WES (3) &#x00026; Target Sequencing (110)</td>
<td valign="top" align="left">35</td>
<td/>
<td valign="top" align="center">25.7</td>
<td valign="top" align="left">France</td>
<td valign="top" align="left">Micol et al., <xref ref-type="bibr" rid="B83">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>ASXL2</italic></td>
<td valign="top" align="left">WES (3) &#x00026; Target Sequencing (110)</td>
<td valign="top" align="left">75</td>
<td valign="top" align="center">21.3</td>
<td/>
<td valign="top" align="left">France</td>
<td valign="top" align="left">Micol et al., <xref ref-type="bibr" rid="B83">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>ASXL1/ASXL2</italic></td>
<td valign="top" align="left">WES (22) and Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">8.8</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>BCOR</italic></td>
<td valign="top" align="left">WES (1), Amplicon Deep-Sequencing (200) &#x00026; Direct Sequencing (353)</td>
<td valign="top" align="left">553</td>
<td valign="top" align="center">3.8</td>
<td/>
<td valign="top" align="left">Germany (200) &#x00026; italy (353)</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B38">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WES (22) &#x00026; Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">3.4</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>MLL-PTD</italic></td>
<td valign="top" align="left">Direct Sequencing (190) &#x00026; Amplicon Deep Sequencing (810)</td>
<td valign="top" align="left">1000</td>
<td valign="top" align="center">6.0</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR And Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">1.9</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>EZH2</italic></td>
<td valign="top" align="left">WES (22) and Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">0.98</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Direct Sequencing</td>
<td valign="top" align="left">128</td>
<td valign="top" align="center">2.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Khan et al., <xref ref-type="bibr" rid="B65">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bbbdc0"><bold>COHESIN COMPLEX</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>RAD21, SMC3 &#x00026; STAG2</italic></td>
<td valign="top" align="left">WES (22) and Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">8.3</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>SMC3</italic></td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left">16</td>
<td/>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Ding et al., <xref ref-type="bibr" rid="B25">2012</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bbbdc0"><bold>TUMOUR SUPPRESSOR</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>TP53</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">235</td>
<td valign="top" align="center">14</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Haferlach et al., <xref ref-type="bibr" rid="B43">2008</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Direct Sequencing (190) &#x00026; Amplicon Deep Sequencing (810)</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">11.5</td>
<td/>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">8.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">1.1</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">67</td>
<td valign="top" align="center" colspan="2">7.8</td>
<td valign="top" align="center">China</td>
<td valign="top" align="left">Kao et al., <xref ref-type="bibr" rid="B60">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>WT1</italic></td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left">24</td>
<td valign="top" align="center">12.5</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Welch et al., <xref ref-type="bibr" rid="B129">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS (50) &#x00026; WES (150)</td>
<td valign="top" align="left">200</td>
<td valign="top" align="center">6.0</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">206</td>
<td/>
<td valign="top" align="center">5.8</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Liang et al., <xref ref-type="bibr" rid="B76">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WES (22) and Targeted Deep Sequencing (182)</td>
<td valign="top" align="left">204</td>
<td/>
<td valign="top" align="center">7.8</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>PHF6</italic></td>
<td valign="top" align="left">PCR &#x00026; Direct Sequencing</td>
<td valign="top" align="left">353</td>
<td valign="top" align="center">3</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Van Vlierberghe et al., <xref ref-type="bibr" rid="B127">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left">24</td>
<td valign="top" align="center">8.3</td>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Welch et al., <xref ref-type="bibr" rid="B129">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left">16</td>
<td/>
<td/>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Ding et al., <xref ref-type="bibr" rid="B25">2012</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Prognostic impact of mutated gene in AML.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Gene</bold></th>
<th valign="top" align="left"><bold>Prognostic impact</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>NPMI</italic></td>
<td valign="top" align="left">Favorable prognosis with a reduced risk of relapse</td>
<td valign="top" align="left">D&#x000F6;hner et al., <xref ref-type="bibr" rid="B28">2005</xref>; Papaemmanuil et al., <xref ref-type="bibr" rid="B90">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>DNMT3A</italic></td>
<td valign="top" align="left">Unfavorable outcomes and higher relapse rates Worse prognosis was observed in CN-AML patients</td>
<td valign="top" align="left">Markov&#x000E1; et al., <xref ref-type="bibr" rid="B80">2012</xref>; Patel et al., <xref ref-type="bibr" rid="B93">2012</xref>; Shivarov et al., <xref ref-type="bibr" rid="B113">2013</xref>; Tie et al., <xref ref-type="bibr" rid="B125">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>IDH1</italic> and <italic>IDH2</italic></td>
<td valign="top" align="left">Unfavorable outcomes in patients with <italic>IDH1</italic> mutations compared to with <italic>IDH2</italic> mutations Shorter relapse free survival in patients with double positive <italic>IDH</italic> and <italic>IDH</italic> and <italic>NPM1</italic> mutations, but <italic>FLT3</italic>-ITD-negative</td>
<td valign="top" align="left">Abbas et al., <xref ref-type="bibr" rid="B2">2010</xref>; Paschka et al., <xref ref-type="bibr" rid="B91">2010</xref>; Patel et al., <xref ref-type="bibr" rid="B93">2012</xref>; Aref et al., <xref ref-type="bibr" rid="B8">2015</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>TET2</italic></td>
<td valign="top" align="left">The prognostic effect remains controversial.</td>
<td valign="top" align="left">Gaidzik et al., <xref ref-type="bibr" rid="B34">2012</xref>; Patel et al., <xref ref-type="bibr" rid="B93">2012</xref>; Ahn et al., <xref ref-type="bibr" rid="B4">2015</xref>; Kutny et al., <xref ref-type="bibr" rid="B69">2015</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3-ITD</italic></td>
<td valign="top" align="left">Poor outcomes and high relapse rate</td>
<td valign="top" align="left">Kottaridis et al., <xref ref-type="bibr" rid="B68">2002</xref>; Shih et al., <xref ref-type="bibr" rid="B112">2002</xref>; Cloos et al., <xref ref-type="bibr" rid="B18">2006</xref>; Alvarado et al., <xref ref-type="bibr" rid="B6">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>FLT3-TKD</italic></td>
<td valign="top" align="left">Prognosis value remains unclear and contradicting</td>
<td valign="top" align="left">Martelli et al., <xref ref-type="bibr" rid="B81">2013</xref>; Ofran and Rowe, <xref ref-type="bibr" rid="B88">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>NRAS</italic></td>
<td valign="top" align="left">No difference outcomes in patients with mutant and wild-type NRAS</td>
<td valign="top" align="left">Bowen et al., <xref ref-type="bibr" rid="B13">2005</xref>; Bacher et al., <xref ref-type="bibr" rid="B10">2006</xref>; Berman et al., <xref ref-type="bibr" rid="B11">2011</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>KIT</italic></td>
<td valign="top" align="left">Conferred increased relapse risk in adult CBF-AML with t(8;21) but no significant impact on childhood CBF-AML patients</td>
<td valign="top" align="left">Pollard et al., <xref ref-type="bibr" rid="B95">2010</xref>; Chen et al., <xref ref-type="bibr" rid="B17">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>CEBPA</italic></td>
<td valign="top" align="left">Good prognosis marker with significant longer relapse free overall survival especially in CN-AML Prolonged survival after relapse if patients acquired <italic>CEBPA</italic> mutation during relapse</td>
<td valign="top" align="left">Renneville et al., <xref ref-type="bibr" rid="B101">2009a</xref>; Pastore et al., <xref ref-type="bibr" rid="B92">2014</xref>; Li et al., <xref ref-type="bibr" rid="B75">2015</xref>; Tawana et al., <xref ref-type="bibr" rid="B122">2015</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>RUNX1</italic></td>
<td valign="top" align="left">Unfavorable outcome, predictive of chemotherapy resistance and increased relapse rate</td>
<td valign="top" align="left">Gaidzik et al., <xref ref-type="bibr" rid="B33">2011</xref>; Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>; Ismael et al., <xref ref-type="bibr" rid="B55">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>ASXL1</italic> and <italic>ASXL2</italic></td>
<td valign="top" align="left">Predictive of inferior prognosis specifically to male adults with MDS, age and positive <italic>RUNX1</italic> mutations Prognostic implication remains inconclusive in childhood AML</td>
<td valign="top" align="left">Schnittger et al., <xref ref-type="bibr" rid="B107">2012</xref>; Micol et al., <xref ref-type="bibr" rid="B83">2014</xref>; D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>; Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>BCOR</italic></td>
<td valign="top" align="left">Associated with poorer prognosis in adult AML Similar 3-year overall survival in childhood AML with or without <italic>BCOR</italic> mutation</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B38">2011</xref>; Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>KMT2A/MLL-PTD</italic></td>
<td valign="top" align="left">Conferred an inferior prognosis, especially those with CN-AML Worst prognosis in patients with double positive <italic>IDH</italic> and <italic>DNMT3A</italic> mutations</td>
<td valign="top" align="left">D&#x000F6;hner et al., <xref ref-type="bibr" rid="B29">2002</xref>; Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>; Kao et al., <xref ref-type="bibr" rid="B61">2015</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>EZH2</italic></td>
<td valign="top" align="left">Poor prognosis and inferior survival</td>
<td valign="top" align="left">Kawahara et al., <xref ref-type="bibr" rid="B64">2012</xref>; Larsson et al., <xref ref-type="bibr" rid="B71">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>SMC3, RAD21</italic> and <italic>STAG2</italic></td>
<td valign="top" align="left">No association between the mutations and overall survival rate</td>
<td valign="top" align="left">Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>TP53</italic></td>
<td valign="top" align="left">Associated with inferior prognosis and higher relapse risk, the worst prognosis in AML</td>
<td valign="top" align="left">Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>; Hou et al., <xref ref-type="bibr" rid="B50">2015</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>WT1</italic></td>
<td valign="top" align="left">Adverse outcomes in both childhood and adult AML, low overall survival rate and high relapse rate</td>
<td valign="top" align="left">Hollink et al., <xref ref-type="bibr" rid="B48">2009</xref>; Renneville et al., <xref ref-type="bibr" rid="B102">2009b</xref>; Hou et al., <xref ref-type="bibr" rid="B51">2010</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>PHF6</italic></td>
<td valign="top" align="left">Poor outcomes in intermediate risk group AML patients Predictive biomarker for relapse SMC3relapse</td>
<td valign="top" align="left">Ding et al., <xref ref-type="bibr" rid="B25">2012</xref>; Patel et al., <xref ref-type="bibr" rid="B93">2012</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
<sec>
<title>Nucleophosmin</title>
<p>The nucleophosmin (NPM1) gene encodes for a phosphoprotein (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>; Tarlock and Meshinchi, <xref ref-type="bibr" rid="B120">2015</xref>) which is involved in the biogenesis of ribosome, duplication of centrosome during mitosis, cell proliferation, and apoptosis induction through p53 and p19Arf (Falini et al., <xref ref-type="bibr" rid="B30">2007</xref>). <italic>NPM1</italic> mutants have been shown to cause aberrant cytoplasmic localization of <italic>NPM1</italic> and NPM1-interacting proteins, as well as impaired function of the nucleolar wild-type NPM1 protein (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>; Tarlock and Meshinchi, <xref ref-type="bibr" rid="B120">2015</xref>). <italic>NPM1</italic> was found commonly mutated in both adult and childhood AML patients, with a higher incidence reported in adults (24&#x02013;29%) (Mardis et al., <xref ref-type="bibr" rid="B79">2009</xref>; Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>; Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>) than in children (3&#x02013;11%) (Brown et al., <xref ref-type="bibr" rid="B14">2007</xref>; Thol et al., <xref ref-type="bibr" rid="B123">2011</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Rubio et al., <xref ref-type="bibr" rid="B104">2016</xref>; Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>). The incidence appeared to be higher in cytogenetically normal AML (CN-AML), with 48% in adults (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B28">2005</xref>) and 15% in childhood AML (Rubio et al., <xref ref-type="bibr" rid="B104">2016</xref>). <italic>NPM1</italic> mutations have also been shown to be predictive of a favorable prognosis with a reduced risk of relapse in AML patients (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B28">2005</xref>; Papaemmanuil et al., <xref ref-type="bibr" rid="B90">2016</xref>).</p>
</sec>
<sec>
<title>DNA methylation</title>
<p>DNA methyltransferase 3 alpha (<italic>DNMT3A</italic>), isocitrate dehydrogenase 1 and 2 (<italic>IDH1</italic> and <italic>IDH2</italic>) and tet methylcytosine dioxygenase 2 (<italic>TET2</italic>) are involved in regulating the methylation of the genome (Langemeijer et al., <xref ref-type="bibr" rid="B70">2011</xref>; Shah and Licht, <xref ref-type="bibr" rid="B109">2011</xref>; Lu et al., <xref ref-type="bibr" rid="B77">2012</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Aslanyan et al., <xref ref-type="bibr" rid="B9">2014</xref>; Ibrahem et al., <xref ref-type="bibr" rid="B54">2014</xref>). DNA methyltransferases (DNMTs) act as a catalyst to convert cytosine to 5-methylcytosine (Shah and Licht, <xref ref-type="bibr" rid="B109">2011</xref>). <italic>DNMT3A</italic> mutation was first identified in an AML patient by WGS (Ley et al., <xref ref-type="bibr" rid="B74">2010</xref>). This mutation is rare in childhood AML, ranging from 0 to 2% (Ho et al., <xref ref-type="bibr" rid="B47">2011</xref>; Thol et al., <xref ref-type="bibr" rid="B123">2011</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>) but the occurrence rate has been reported in 22&#x02013;26% of adult cases (Ley et al., <xref ref-type="bibr" rid="B74">2010</xref>; Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>; Shlush et al., <xref ref-type="bibr" rid="B114">2014</xref>). Patients who harbored <italic>DNMT3A</italic> mutations showed unfavorable outcomes and higher relapse rates (Markov&#x000E1; et al., <xref ref-type="bibr" rid="B80">2012</xref>). An even worse prognosis was observed in CN-AML patients with this mutation and high dose of anthracycline chemotherapy has been recommended for this subgroup of patients (Markov&#x000E1; et al., <xref ref-type="bibr" rid="B80">2012</xref>; Patel et al., <xref ref-type="bibr" rid="B93">2012</xref>; Shivarov et al., <xref ref-type="bibr" rid="B113">2013</xref>). A meta-analysis involving 12 studies with a total of 6,377 patients with <italic>DNMT3A</italic> mutations showed poor prognostic impact on the overall survival, relapse free survival, and event free survival (Tie et al., <xref ref-type="bibr" rid="B125">2014</xref>).</p>
<p><italic>IDH1</italic> mutations that affect the arginine residue at position R132 or R170, and <italic>IDH2</italic> at R140 or R172 (Abbas et al., <xref ref-type="bibr" rid="B2">2010</xref>; Radhi et al., <xref ref-type="bibr" rid="B98">2010</xref>; Green et al., <xref ref-type="bibr" rid="B36">2011</xref>; Rakheja et al., <xref ref-type="bibr" rid="B99">2012</xref>; Shih et al., <xref ref-type="bibr" rid="B111">2012</xref>) will impair histone demethylation (Lu et al., <xref ref-type="bibr" rid="B77">2012</xref>). <italic>IDH1</italic> mutation was first discovered in 2009 by the WGS in an adult AML genome (Mardis et al., <xref ref-type="bibr" rid="B79">2009</xref>). <italic>IDH1</italic> and <italic>IDH2</italic> mutations were rarely detected in childhood AML, with a frequency of 0&#x02013;1 and 1&#x02013;2% respectively, but a higher incidence was seen in children with CN-AML (Ho et al., <xref ref-type="bibr" rid="B46">2010</xref>, <xref ref-type="bibr" rid="B47">2011</xref>; Andersson et al., <xref ref-type="bibr" rid="B7">2011</xref>; Damm et al., <xref ref-type="bibr" rid="B22">2011</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>). In contrast, <italic>IDH1</italic> and <italic>IDH2</italic> were detected more commonly in adult AML, with a prevalence of 4&#x02013;9 and 8&#x02013;19% respectively (Mardis et al., <xref ref-type="bibr" rid="B79">2009</xref>; Ho et al., <xref ref-type="bibr" rid="B46">2010</xref>; D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>). Remarkably, a higher frequency of <italic>IDH1/IDH2</italic> (20%) was detected in adult AML via the WGS and WES approach (Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>), suggesting NGS could be a more sensitive approach in detecting subclonal mutations in heterogenous AML blast cells. Notably, patients with <italic>IDH1</italic> mutations appeared to have more unfavorable outcomes compared to those with <italic>IDH2</italic> mutations (Abbas et al., <xref ref-type="bibr" rid="B2">2010</xref>; Patel et al., <xref ref-type="bibr" rid="B93">2012</xref>) and shorter overall survival compared to patients without IDH mutation (Aref et al., <xref ref-type="bibr" rid="B8">2015</xref>). Moreover, patients with double positive <italic>IDH</italic> and <italic>NPM1</italic> mutations, but <italic>FLT3</italic>-ITD-negative, showed a shorter relapse free survival (Paschka et al., <xref ref-type="bibr" rid="B91">2010</xref>).</p>
<p><italic>TET2</italic> converts methylcytosine to 5-hydroxymethylcytosine and has a role in regulating myelopoiesis (Shih et al., <xref ref-type="bibr" rid="B111">2012</xref>). Loss of function mutation in <italic>TET2</italic> decreased DNA hydroxymethylation (Aslanyan et al., <xref ref-type="bibr" rid="B9">2014</xref>). <italic>TET2</italic> was shown to be frequently mutated in adult AML (8&#x02013;28%) as compared to childhood AML (1&#x02013;7%) (Langemeijer et al., <xref ref-type="bibr" rid="B70">2011</xref>; Weissmann et al., <xref ref-type="bibr" rid="B128">2012</xref>; Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Kao et al., <xref ref-type="bibr" rid="B60">2014</xref>; Kutny et al., <xref ref-type="bibr" rid="B69">2015</xref>). The prognostic effect of <italic>TET2</italic> mutation remains controversial. No significant impact on relapse free survival was observed in a large cohort of younger adult AML patients (Gaidzik et al., <xref ref-type="bibr" rid="B34">2012</xref>) and no difference in relapse incidence at 5 years in CN-AML patients with or without <italic>TET2</italic> mutations (Ahn et al., <xref ref-type="bibr" rid="B4">2015</xref>), whilst other studies demonstrated that <italic>TET2</italic> mutations were correlated with inferior outcomes in favorable-risk CN-AML (Patel et al., <xref ref-type="bibr" rid="B93">2012</xref>) and failure to achieve complete remission in childhood AML (Kutny et al., <xref ref-type="bibr" rid="B69">2015</xref>).</p>
</sec>
<sec>
<title>Activated signaling pathway</title>
<p>Fms-like Tyrosine Kinase 3 (<italic>FLT3</italic>) encodes for a receptor tyrosine kinase which is a membrane-bound receptor with an intrinsic tyrosine kinase domain. Internal tandem duplication (ITD) of the juxtamembrane domain and point mutations of the tyrosine kinase domain (TKD) in <italic>FLT3</italic> have been shown to result in the constitutive activation of the receptor kinase activity (Nakao et al., <xref ref-type="bibr" rid="B87">1996</xref>; Tarlock and Meshinchi, <xref ref-type="bibr" rid="B120">2015</xref>). In both adult and childhood AML, the incidence of <italic>FLT3 ITD</italic> (15&#x02013;37 and 10&#x02013;21% respectively) was higher compared to <italic>FLT3 TKD</italic> (10 and 7%) (Cloos et al., <xref ref-type="bibr" rid="B18">2006</xref>; Thol et al., <xref ref-type="bibr" rid="B123">2011</xref>; Damm et al., <xref ref-type="bibr" rid="B21">2012</xref>; Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>; Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Kao et al., <xref ref-type="bibr" rid="B60">2014</xref>; Rubio et al., <xref ref-type="bibr" rid="B104">2016</xref>; Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>). <italic>FLT3-ITD</italic> was associated with poor outcomes and high relapse rate, and the duplication has been shown to persist in both diagnosis and relapse samples with no significant changes in frequency (Kottaridis et al., <xref ref-type="bibr" rid="B68">2002</xref>; Shih et al., <xref ref-type="bibr" rid="B112">2002</xref>; Cloos et al., <xref ref-type="bibr" rid="B18">2006</xref>). Even though allogeneic stem cell transplant or the use of FLT3 inhibitors has been proposed as promising treatment approaches for patients harboring <italic>FLT3</italic> mutations, the results have been disappointing due to the high relapse rate (Alvarado et al., <xref ref-type="bibr" rid="B6">2014</xref>). Recently, some studies showed that patients with <italic>FLT3-ITD</italic> AML should be offered allogeneic stem cell transplant when feasible as the preferred post-remission treatment for better survival outcomes (Ho et al., <xref ref-type="bibr" rid="B44">2016</xref>; Oran et al., <xref ref-type="bibr" rid="B89">2016</xref>). Meanwhile, mutations in <italic>FLT3-TKD</italic> appeared to be less commonly detected and its prognosis value remains unclear and contradicting (Martelli et al., <xref ref-type="bibr" rid="B81">2013</xref>; Ofran and Rowe, <xref ref-type="bibr" rid="B88">2013</xref>).</p>
<p>Neuroblastoma RAS Viral (v-ras) Oncogene Homolog (<italic>NRAS</italic>) and Kirsten Rat Sarcoma Viral Oncogene Homolog (<italic>KRAS</italic>) belong to the RAS GTPase family that encode a membrane-associated guanosine nucleotide phosphate (GTP) binding proteins, and are involved in regulating signal transduction upon binding of ligand to a variety of membrane receptors (Bowen et al., <xref ref-type="bibr" rid="B13">2005</xref>; Berman et al., <xref ref-type="bibr" rid="B11">2011</xref>). The occurrence of <italic>NRAS</italic> mutations has been reported among adult (9&#x02013;12%) and childhood AML (12&#x02013;13%) but <italic>KRAS</italic> mutations appeared to be more prevalent in adult AML than childhood AML (12 vs. 3&#x02013;7%) (Mardis et al., <xref ref-type="bibr" rid="B79">2009</xref>; Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Kao et al., <xref ref-type="bibr" rid="B60">2014</xref>; Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>). Larger cohort studies have shown that the clinical outcomes of patients who harbored mutant and wild-type NRAS did not differ, as evidenced by similar complete remission (Bowen et al., <xref ref-type="bibr" rid="B13">2005</xref>; Bacher et al., <xref ref-type="bibr" rid="B10">2006</xref>; Berman et al., <xref ref-type="bibr" rid="B11">2011</xref>) and relapse rates (Bowen et al., <xref ref-type="bibr" rid="B13">2005</xref>; Bacher et al., <xref ref-type="bibr" rid="B10">2006</xref>; Berman et al., <xref ref-type="bibr" rid="B11">2011</xref>).</p>
<p>Proto-Oncogene Receptor Tyrosine Kinase (<italic>KIT</italic>) is involved in hematopoiesis as well as proliferation and regulation of cell survival. The frequency of <italic>KIT</italic> mutation in adult AML was reported lower as compared to childhood AML (4 vs. 12&#x02013;20%) (Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>). A higher frequency was reported in core-binding factor acute myeloid leukemia (CBF-AML) with inv(16) and t(8;21), in both children (19&#x02013;44%) and adults (16&#x02013;46%) (Jones et al., <xref ref-type="bibr" rid="B58">2010</xref>; Pollard et al., <xref ref-type="bibr" rid="B95">2010</xref>). Based on the meta-analysis conducted by Chen et al. <italic>KIT</italic> mutations conferred increased relapse risk in adult CBF-AML with t(8;21) (Chen et al., <xref ref-type="bibr" rid="B17">2016</xref>). In contrast, <italic>KIT</italic> mutations did not show significant impact on relapse risk in childhood CBF-AML patients (Pollard et al., <xref ref-type="bibr" rid="B95">2010</xref>). <italic>In vitro</italic> studies demonstrated that the use of a tyrosine kinase inhibitor was effective against leukemic cells harboring <italic>KIT</italic> mutations and served as promising therapeutic approach for AML patients.</p>
</sec>
<sec>
<title>Myeloid transcription factor</title>
<p>CCAAT Enhancer Binding Protein Alpha (<italic>CEBPA</italic>) is a transcription factor that is involved in regulating the differentiation of neutrophils. <italic>CEBPA</italic> mutations were mostly located at the N-terminal domain (NTD) and bZip domain (Ho et al., <xref ref-type="bibr" rid="B45">2009</xref>). The frequency of <italic>CEBPA</italic> mutations reported in childhood AML is generally double that seen in adult AML (2&#x02013;12 vs. 6&#x02013;7.5%) (Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>; Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Rubio et al., <xref ref-type="bibr" rid="B104">2016</xref>; Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>). Biallelic <italic>CEBPA</italic> mutations are associated with favorable prognosis in CN-AML whilst monoallelic mutations showed contradicting outcomes in patients (Pastore et al., <xref ref-type="bibr" rid="B92">2014</xref>; Li et al., <xref ref-type="bibr" rid="B75">2015</xref>). Several lines of evidence have shown that the <italic>CEBPA</italic> mutation served as a good prognosis marker of AML in which patients with <italic>CEBPA</italic> mutation had significantly longer relapse free overall survival (Renneville et al., <xref ref-type="bibr" rid="B101">2009a</xref>). More strikingly, patients who acquired <italic>CEBPA</italic> mutation during relapse (absent in diagnostic sample) had favorable outcomes with prolonged survival after relapse, with a 67% 10-year overall survival rate (Tawana et al., <xref ref-type="bibr" rid="B122">2015</xref>).</p>
<p>Runt Related Transcription Factor (<italic>RUNX1</italic>) encodes for a core-binding factor which binds to the core element of many enhancers and promoters. <italic>RUNX1</italic> mutations are more prevalent in AML without complex karyotype, with 5&#x02013;18% in adult AML (Gaidzik et al., <xref ref-type="bibr" rid="B33">2011</xref>; Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>; Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>) and 1&#x02013;6% in childhood AML (Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Al-Kzayer et al., <xref ref-type="bibr" rid="B5">2014</xref>). <italic>RUNX1</italic> mutation is associated with unfavorable outcome, is predictive of chemotherapy resistance with a refractory rate of 30% and also an increased relapse rate (Gaidzik et al., <xref ref-type="bibr" rid="B33">2011</xref>; Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>). Clonal evolution of <italic>RUNX1</italic> mutation was reported in the relapsed samples of childhood AML cases (Ismael et al., <xref ref-type="bibr" rid="B55">2014</xref>). Clinical analysis has proven that patients with <italic>RUNX1</italic> mutations who received allogeneic HSCT had a 52% 4-year relapse free survival as compared to those treated with conventional intensive post-remission therapy (0% 4-year relapse free survival) (Gaidzik et al., <xref ref-type="bibr" rid="B33">2011</xref>). Hence, allogeneic hematopoietic stem cell transplant (HSCT) is highly recommended for patients harboring RUNX1 mutation as compared to conventional consolidation therapy.</p>
</sec>
<sec>
<title>Chromatin remodeling</title>
<p>Additional Sex Combs Like 1 Transcriptional Regulator (<italic>ASXL1</italic>) and Additional Sex Combs Like 2 Transcriptional Regulator (<italic>ASXL2</italic>) encodes a dual-function chromatin-binding protein, which acts as a transcription activator or repressor (Katoh and Katoh, <xref ref-type="bibr" rid="B63">2003</xref>). <italic>ASXL1</italic> mutation is frequently associated with secondary AML evolving from myelodysplastic syndrome (MDS) (Devillier et al., <xref ref-type="bibr" rid="B24">2012</xref>) with a 5&#x02013;17% occurrence in adult AML, with a higher frequency in cases with intermediate risk cytogenetics (31%) and CN-AML (13%) (Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>; Schnittger et al., <xref ref-type="bibr" rid="B107">2012</xref>; D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>). The incidence of <italic>ASXL1</italic> mutation is rare (1%) in childhood AML and increases with age (Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>). However, the prevalence of <italic>ASXL2</italic> mutation in both adult (22%) and childhood (26%) AML is almost similar (Micol et al., <xref ref-type="bibr" rid="B83">2014</xref>). In childhood AML, the prognostic implication of <italic>ASXL1</italic> and <italic>ASXL2</italic> mutations remains inconclusive. Shiba et al. (<xref ref-type="bibr" rid="B110">2016</xref>) did not observe the association with inferior outcome, whilst Micol et al. (<xref ref-type="bibr" rid="B83">2014</xref>) reported that the mutations were associated with increased relapse risk. Thus, a larger study cohort is needed to confirm the prognostic effect of <italic>ASXL1</italic> and <italic>ASXL2</italic> in childhood AML. Meanwhile, <italic>ASXL1</italic> mutations were predictive of inferior prognosis and contributed significantly to leukemogenesis in male adults with AML with MDS, those older in age and those harboring <italic>RUNX1</italic> mutations (Schnittger et al., <xref ref-type="bibr" rid="B107">2012</xref>; D&#x000F6;hner et al., <xref ref-type="bibr" rid="B27">2015</xref>).</p>
<p>BCL6 Corepressor (<italic>BCOR</italic>) encodes a POZ/zinc finger transcriptional repressor (Huynh et al., <xref ref-type="bibr" rid="B53">2000</xref>), and its loss-of-function mutation has led to the inhibition of proliferation and differentiation of myeloid cells (Cao et al., <xref ref-type="bibr" rid="B16">2016</xref>). The occurrence rate of <italic>BCOR</italic> mutation in both childhood and adult AML was found to be almost similar, namely 3.4 and 3.8% (Grossmann et al., <xref ref-type="bibr" rid="B38">2011</xref>; Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>) respectively by using the WES technique. The frequency of <italic>BCOR</italic> mutations was higher in CN-AML adult patients (17%), and associated with poorer prognosis, with an overall 2-year survival rate of 25.6% (Grossmann et al., <xref ref-type="bibr" rid="B38">2011</xref>). In contrast, the 3-year overall survival was similar for childhood AML patients with or without <italic>BCOR</italic> mutation (71 vs. 72%) (Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>).</p>
<p>Lysine (K) Methyltransferase 2A (<italic>KMT2A</italic>) or formerly known as Mixed-Lineage Leukemia (<italic>MLL</italic>) is involved in regulating gene expression during early development and hematopoiesis. <italic>MLL-PTD</italic> was found mutated in 6% of adult AML patients (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B29">2002</xref>; Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>) and a lower frequency of <italic>MLL-PTD</italic> (2%) was reported in childhood AML (Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>). <italic>MLL-PTD</italic> conferred an inferior prognosis, in which the 3-year event free survival was only 10.5% (Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>), and 69% of CN-AML patients with <italic>MLL-PTD</italic> relapsed after achieving remission (D&#x000F6;hner et al., <xref ref-type="bibr" rid="B29">2002</xref>). Therefore, <italic>MLL-PTD</italic> is associated with inferior outcomes in AML patients especially those with CN-AML. In addition, inferior event free survival (median 0 vs. 6.8 months) was noted in <italic>MLL</italic>-PTD AML patients with <italic>DNMT3A</italic> mutations compared to those without <italic>DNMT3A</italic> mutations (Kao et al., <xref ref-type="bibr" rid="B61">2015</xref>).</p>
<p>Enhancer of Zeste Homologue 2 (<italic>EZH2</italic>) is a histone methyltransferase which is involved in transcriptional repression by depositing histone H3 lysine 27 (H3K27) and also plays a pivotal role in hematopoiesis (Yap et al., <xref ref-type="bibr" rid="B130">2011</xref>; Lund et al., <xref ref-type="bibr" rid="B78">2014</xref>). <italic>EZH2</italic> controls the balance between cell differentiation and renewal, thus its dysregulation may lead to tumorigenesis (Lund et al., <xref ref-type="bibr" rid="B78">2014</xref>). <italic>EZH2</italic> mutations decreased H3K27 trimethylation and increased chromatin relaxation. <italic>EZH2</italic> mutations have been detected in &#x0007E;2% adult AML (Khan et al., <xref ref-type="bibr" rid="B65">2013</xref>) and &#x0007E;1% childhood AML (Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>). <italic>EZH2</italic> mutation was more frequently detected in acute megakaryoblastic leukemia (AMKL) and AMKL with Down Syndrome (DS-AMKL), 16 and 33% respectively (Yoshida et al., <xref ref-type="bibr" rid="B132">2013</xref>). <italic>EZH2</italic> mutations was correlated with poor prognosis and inferior survival (Kawahara et al., <xref ref-type="bibr" rid="B64">2012</xref>; Larsson et al., <xref ref-type="bibr" rid="B71">2014</xref>). 3-Deazaneplanocin (DZNep), an EZH2 inhibitor, may serve as a potential drug for consolidation or maintenance therapy in AML patients to decrease the chance of relapse by eliminating the cancer stem cells which are resistant to conventional chemotherapy such as cytarabine and daunorubicin (Miranda et al., <xref ref-type="bibr" rid="B84">2009</xref>; Horton and Huntly, <xref ref-type="bibr" rid="B49">2012</xref>).</p>
</sec>
<sec>
<title>Cohesin complex</title>
<p>Cohesin is a multiprotein complex which comprises of four primary subunits <italic>SMC1A, SMC3, RAD21</italic>, and <italic>STAG1/STAG2</italic>, and is responsible for sister chromatid cohesion, gene expression regulation and DNA repair (Haarhuis et al., <xref ref-type="bibr" rid="B42">2014</xref>; Kim et al., <xref ref-type="bibr" rid="B66">2016</xref>). <italic>SMC3</italic> gene mutation was first described by Ding et al. (<xref ref-type="bibr" rid="B25">2012</xref>) by comparing the genomic landscape of a primary and matched relapse adult AML using WGS. The <italic>SMC3</italic> mutation was found enriched in relapsed clones and may be induced by the damaging effects from cytotoxic chemotherapy. Subsequently, in 2016, Shiba et al. reported that <italic>SMC3, RAD21</italic>, and <italic>STAG2</italic> mutations were detected in 8.3% of 204 childhood AML cases, and the truncating mutations resulted in loss of cohesin function. However, they did not observe an association between the mutations and overall survival rate (Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>). A larger cohort is therefore needed to provide a better overview of the utility of cohesin as a prognostic biomarker.</p>
</sec>
<sec>
<title>Tumor suppressor</title>
<p>Tumor Protein p53 (<italic>TP53</italic>), is the most well-studied tumor suppressor gene and is involved in cell cycle regulation in response to cellular stress. <italic>TP53</italic> is frequently mutated in AML patients with complex karyotypes, with an incidence rate of 69&#x02013;73% (Haferlach et al., <xref ref-type="bibr" rid="B43">2008</xref>; Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>). The incidence rate was reported lower in other cytogenetic subgroups, ranging from 8 to 14% in adult AML and about 1% in childhood AML (Haferlach et al., <xref ref-type="bibr" rid="B43">2008</xref>; Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>; Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Kao et al., <xref ref-type="bibr" rid="B60">2014</xref>). <italic>TP53</italic> mutation was associated with inferior prognosis and higher relapse risk, in which the 3-year overall survival and event free survival was 0% (Grossmann et al., <xref ref-type="bibr" rid="B37">2012</xref>). The observation of a poorer prognosis for <italic>TP53</italic> mutation was also independent of age, karyotype and other mutations such as <italic>NPM1/FLT3-ITD, CEBPA, RUNX1, WT1, DNMT3A</italic>, and <italic>IDH2</italic> (Hou et al., <xref ref-type="bibr" rid="B50">2015</xref>). Based on above evidence, <italic>TP53</italic> mutation may serve as a promising predictive biomarker of the worst prognosis in AML.</p>
<p>Wilms Tumor 1 (<italic>WT1</italic>) is a transcription factor involved in urogenital development and was found overexpressed in AML with a role in promoting leukemogenesis (Rampal and Figueroa, <xref ref-type="bibr" rid="B100">2016</xref>). The frequency of <italic>WT1</italic> mutation was slightly higher in adult AML compared to childhood AML (6&#x02013;12.5 vs. 6&#x02013;8%) (Welch et al., <xref ref-type="bibr" rid="B129">2012</xref>; Cancer Genome Atlas Research, <xref ref-type="bibr" rid="B15">2013</xref>; Liang et al., <xref ref-type="bibr" rid="B76">2013</xref>; Shiba et al., <xref ref-type="bibr" rid="B110">2016</xref>). <italic>WT1</italic> mutation was significantly correlated with adverse outcomes in both childhood and adult AML. In adult AML (<italic>n</italic> &#x0003D; 268, aged 15&#x02013;50 year), the 4-year overall survival rate was only 22%, and the relapse rate was relatively high (82%) (Renneville et al., <xref ref-type="bibr" rid="B102">2009b</xref>). A similar finding of higher relapse incidence (85.7%) was reported in 470 adult AML patients with <italic>WT1</italic> mutations (Hou et al., <xref ref-type="bibr" rid="B51">2010</xref>). The similar pattern was seen in childhood AML with cumulative relapse incidence of 70% in 298 patients (Hollink et al., <xref ref-type="bibr" rid="B48">2009</xref>).</p>
<p>Plant Homeodomain Finger 6 (<italic>PHF6</italic>) acts as a tumor suppressor gene. <italic>PHF6</italic> non-sense and frameshift mutations have been shown to result in loss-of-function alleles (Van Vlierberghe et al., <xref ref-type="bibr" rid="B127">2011</xref>). <italic>PHF6</italic> mutations were observed in T-cell acute lymphoblastic leukemias, with an incidence rate of 20% (Van Vlierberghe et al., <xref ref-type="bibr" rid="B126">2010</xref>). In contrast, <italic>PHF6</italic> mutations were only detected in 3&#x02013;8% adult AML (Van Vlierberghe et al., <xref ref-type="bibr" rid="B127">2011</xref>; Ding et al., <xref ref-type="bibr" rid="B25">2012</xref>), and more frequently detected in males than females (Van Vlierberghe et al., <xref ref-type="bibr" rid="B127">2011</xref>). Adverse outcomes had been reported in AML patients with intermediate risk group (Patel et al., <xref ref-type="bibr" rid="B93">2012</xref>). <italic>PHF6</italic> mutations were found to be acquired during initiation of leukemogenesis and were also enriched in relapsed samples (Ding et al., <xref ref-type="bibr" rid="B25">2012</xref>), hence could serve as a potential predictive biomarker of AML relapse.</p>
</sec>
</sec>
<sec id="s4">
<title>Development of targeted therapies in AML</title>
<p>The poor prognosis for AML has been a key driver for the research and development of targeted therapies. The emerging targeted therapies for the management of AML include FLT3 inhibitors, IDH inhibitors, and MEK inhibitors. In April 2017, the new drug midostaurin (Rydapt; Novartis Pharmaceuticals, Inc) received approval by the US Food and Drug Administration (FDA) for the treatment of adult patients with newly diagnosed <italic>FLT3</italic>-mutated AML (Levis, <xref ref-type="bibr" rid="B73">2017</xref>). Midostaurin (N-benzoyl staurosporine also previously known as CGP41251 and PKC412), a derivative of staurosporine, is an indolocarbazole and is a pan-kinase inhibitor, a derivative of staurosporine (Tamaoki et al., <xref ref-type="bibr" rid="B119">1986</xref>). It is a kinase inhibitor against both the <italic>FLT3-ITD</italic> and <italic>FLT3-TKD</italic> mutants, and relapsed/refractory patients treated with midostaurin showed great reduction in peripheral blood and marrow blasts (Stone et al., <xref ref-type="bibr" rid="B118">2005</xref>; Fischer et al., <xref ref-type="bibr" rid="B32">2010</xref>). Midostaurin has been approved and recommended to be given in combination with drugs for induction (cytarabine and daunorubicin) and consolidation (high-dose cytarabine) (Levis, <xref ref-type="bibr" rid="B73">2017</xref>).</p>
<p>Another first generation FLT3 inhibitor, Lestaurtinib (previously known as CEP-701), is a relatively less selective compound compared to midostaurin, and its usage has not been able to improve the survival in <italic>FLT3</italic> mutated AML patients (Knapper et al., <xref ref-type="bibr" rid="B67">2017</xref>). The UK MRC AML15 clinical trial (ISRNCTN17161961) &#x00026; UK NCRI AML17 (ISRNCTN55675535) involving five hundred patients in the United Kingdom, Denmark, and New Zealand showed no significant differences in the 5-year overall survival and 5-year relapse-free survival when added to the standard chemotherapy for newly diagnosed <italic>FLT3</italic> mutated AML (Knapper et al., <xref ref-type="bibr" rid="B67">2017</xref>). This factor has contributed to the development of second generation of FLT3 inhibitors which are more potent and more selective in action.</p>
<p>Quizartinib (AC220) is a second generation FLT3 inhibitor that exhibits low nanomolar potency in biochemical and cellular assays, and has exceptional kinase selectivity (Zarrinkar et al., <xref ref-type="bibr" rid="B133">2009</xref>). In the phase 3 clinical trial, QuANTUM-First, to test the effect of quizartinib in combination with conventional chemotherapy in <italic>FLT3/ITD</italic> patients (NCT02668653), and the QuANTUM-R trial to compare quizartinib monotherapy vs. conventional salvage therapies among relapsed/refractory <italic>FLT3-ITD</italic> mutated patients (NCT02039726), the results showed a higher composite complete remission (CRc) rate in both older and younger patients with <italic>FLT3-ITD</italic> mutated relapsed/refractory AML (Stein and Tallman, <xref ref-type="bibr" rid="B116">2016</xref>; Fathi and Chen, <xref ref-type="bibr" rid="B31">2017</xref>; Saygin and Carraway, <xref ref-type="bibr" rid="B106">2017</xref>). Another selective FLT3 inhibitor that has been tested in a phase 3 clinical trial is Gliteritinib. Gilteritinib (previously referred to as ASP2215) is a pyrazinecar-boxamide derivative, with activity against both <italic>FLT3-ITD</italic> and <italic>FLT3-TKD</italic> mutations (Lee et al., <xref ref-type="bibr" rid="B72">2017</xref>). Remarkable results were obtained in terms of the CRc among patients with <italic>FLT3-ITD</italic> and <italic>FLT3-TKD</italic> mutations (Perl et al., <xref ref-type="bibr" rid="B94">2017</xref>) and also in the ongoing phase 3 clinical trial to test gilteritinib vs. salvage chemotherapy in relapsed/refractory <italic>FLT3</italic> mutated AML (NCT02421939).</p>
<p>The limiting factor for these second generation FLT3 inhibitors was the short duration of response as shown with quizartinib (3 months) and gilteritinib (5 months) (Saygin and Carraway, <xref ref-type="bibr" rid="B106">2017</xref>). In addition, there have been reports on resistance to quizartinib, which was shown to be attributed by the mutations in the TKD of the FLT3 gene (Moore et al., <xref ref-type="bibr" rid="B85">2012</xref>; Smith et al., <xref ref-type="bibr" rid="B115">2012</xref>). Crenolanib, a highly selective and potent next-generation FLT3 inhibitor, can overcome quizartinib resistance by targetting both <italic>FLT3-ITD</italic> mutants and the <italic>FLT3-D835</italic> point mutants (Galanis et al., <xref ref-type="bibr" rid="B35">2014</xref>). This drug is currently in a phase 3 clinical trial, to test the effect in combination with salvage chemotherapy for relapsed or refractory <italic>FLT3</italic> mutated AML patients (NCT02298166) (Levis, <xref ref-type="bibr" rid="B73">2017</xref>).</p>
<p>Another major breakthrough in the treatment of AML is the approval of enasidenib by the FDA in early August 2017. Enasidenib is approved for the treatment of relapsed or refractory in <italic>IDH2</italic> mutated adult AML patients. Enasidenib (AG-221/CC-90007) is a first-in-class, oral, selective inhibitor of mutant-IDH2 enzymes and assessment outcomes in the largest relapsed or refractory mutant-<italic>IDH2</italic> AML patient shows a 40.3% overall response rate with 9.3 months median overall survival, and 19.7 months overall survival for those who attained complete remission (Stein et al., <xref ref-type="bibr" rid="B117">2017</xref>). Meanwhile, other oral inhibitors such as AG-120, IDH305, and FT-2102 are currently being evaluated in AML patients with <italic>IDH1</italic> mutation. Early results of ongoing clinical trials for the AG-120 ((NCT02074839) and IDH305 (NCT02381886) in relapsed or refractory AML patient showed that both drugs were well-tolerated and the overall response rate was 36 and 33% respectively (Birendra and DiNardo, <xref ref-type="bibr" rid="B12">2016</xref>; Saygin and Carraway, <xref ref-type="bibr" rid="B106">2017</xref>). Therefore, these IDH1 inhibitors seem promising as targeted therapies for AML.</p>
<p>MAP&#x02013;ERK kinase (MEK) inhibitor has been used in <italic>RAS</italic> mutated AML patients. Selumetinib (AZD6244, ARRY-142886) is a potent and selective small-molecule inhibitor of MEK (Yeh et al., <xref ref-type="bibr" rid="B131">2007</xref>; Adjei et al., <xref ref-type="bibr" rid="B3">2008</xref>). The phase II study of oral selumetinib showed hematologic improvement in platelets count as well as reduction in the bone marrow blasts percentage in AML patients with <italic>KRAS</italic> mutation (Jain et al., <xref ref-type="bibr" rid="B56">2014</xref>). Interestingly, the use of this MEK inhibitor also resulted in good response and disease stabilization in patients with <italic>KIT</italic> mutation (rs3733542 in exon 18) but require further validation (Jain et al., <xref ref-type="bibr" rid="B56">2014</xref>). The favorable effect of selumetinib makes this MEK inhibitor a good potential in targeting the <italic>RAS</italic> mutation in AML patients.</p>
<p>The emergence of these molecular targeted therapies has contributed to the improvement in the treatment of AML patients specifically resulting in better response rate and overall outcomes, with less toxicity than standard cytotoxic therapy. The molecular targeted therapies for the management of AML as discussed in this review are illustrated in Figure <xref ref-type="fig" rid="F1">1</xref> and Table <xref ref-type="table" rid="T3">3</xref>.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Commonly mutated genes in both childhood and adult AML illustrated based on functional categories, in relation to pathways involved with targeted therapies. Figure was adapted and modified from Kanehisa et al. (<xref ref-type="bibr" rid="B59">2016</xref>) and D&#x000F6;hner et al. (<xref ref-type="bibr" rid="B27">2015</xref>).</p></caption>
<graphic xlink:href="fphar-08-00897-g0001.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Targeted therapies in AML.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Gene</bold></th>
<th valign="top" align="left"><bold>Drugs</bold></th>
<th valign="top" align="left"><bold>Status</bold></th>
<th valign="top" align="left"><bold>Single/Combination</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>FLT3-ITD/FLT3-TKD</italic></td>
<td valign="top" align="left">Midostaurin (CGP41251/PKC412)</td>
<td valign="top" align="left">FDA Approved (Rydapt; Novartis Pharmaceuticals, Inc)</td>
<td valign="top" align="left">In combination with induction and consolidation chemotherapy</td>
<td valign="top" align="left">Levis, <xref ref-type="bibr" rid="B73">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Lestaurtinib (CEP-701)</td>
<td valign="top" align="left">Phase 3 Clinical Trial UK MRC AML15 (ISRNCTN17161961) &#x00026; UK NCRI AML17 (ISRNCTN55675535)</td>
<td valign="top" align="left">In combination with induction and consolidation chemotherapy</td>
<td valign="top" align="left">Knapper et al., <xref ref-type="bibr" rid="B67">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Quizartinib (AC220)</td>
<td valign="top" align="left">Phase 3 Clinical Trial QuANTUM-First (NCT02668653)</td>
<td valign="top" align="left">In combination with induction and consolidation chemotherapy</td>
<td valign="top" align="left">Stein and Tallman, <xref ref-type="bibr" rid="B116">2016</xref>; Fathi and Chen, <xref ref-type="bibr" rid="B31">2017</xref>; Saygin and Carraway, <xref ref-type="bibr" rid="B106">2017</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Phase 3 Clinical Trial QuANTUM-R (NCT02039726)</td>
<td valign="top" align="left">Single agent</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Gliteritinib (ASP2215)</td>
<td valign="top" align="left">Phase 3 Clinical Trial (NCT02421939)</td>
<td valign="top" align="left">Single agent</td>
<td valign="top" align="left">Lee et al., <xref ref-type="bibr" rid="B72">2017</xref>; Perl et al., <xref ref-type="bibr" rid="B94">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Crenolanib</td>
<td valign="top" align="left">Phase 3 Clinical Trial (NCT02298166)</td>
<td valign="top" align="left">In combination with salvage chemotherapy</td>
<td valign="top" align="left">Galanis et al., <xref ref-type="bibr" rid="B35">2014</xref>; Levis, <xref ref-type="bibr" rid="B73">2017</xref></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><italic>IDH2</italic></td>
<td valign="top" align="left">Enasidenib (AG-221/CC-90007)</td>
<td valign="top" align="left">(Idhifa) FDA Approved (Celgene Corporation)</td>
<td valign="top" align="left">Single agent</td>
<td valign="top" align="left">Stein et al., <xref ref-type="bibr" rid="B117">2017</xref></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><italic>IDH1</italic></td>
<td valign="top" align="left">AG-120</td>
<td valign="top" align="left">Phase 1 Clinical Trial (NCT02074839)</td>
<td valign="top" align="left">Single agent</td>
<td valign="top" align="left">Birendra and DiNardo, <xref ref-type="bibr" rid="B12">2016</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">IDH305</td>
<td valign="top" align="left">Phase 1 Clinical Trial (NCT02381886)</td>
<td valign="top" align="left">In combination with induction and consolidation chemotherapy</td>
<td valign="top" align="left">Stein and Tallman, <xref ref-type="bibr" rid="B116">2016</xref>; Saygin and Carraway, <xref ref-type="bibr" rid="B106">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">FT-2102</td>
<td valign="top" align="left">Phase 1/1b Clinical Trial (NCT02719574)</td>
<td valign="top" align="left">In combination with azacitidine</td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><italic>RAS</italic></td>
<td valign="top" align="left">Selumetinib (AZD6244, ARRY-142886)</td>
<td valign="top" align="left">Phase II Consortium (Chicago, IL)</td>
<td valign="top" align="left">Single agent</td>
<td valign="top" align="left">Jain et al., <xref ref-type="bibr" rid="B56">2014</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>The breakthrough in genomic technologies, especially NGS, has enhanced our understanding about the genetic landscape of AML, and has led to the discovery of a long list of mutations which are potentially useful as prognostic markers of AML. Interestingly, the prognostic impact of the genetic events from the same functional categories are rather varied. For instance, the presence of <italic>NPMI, IDH2</italic>, and <italic>CEBPA</italic> mutations predicted a favorable prognosis whilst <italic>KRAS</italic> and <italic>NRAS</italic> mutations had little clinical impact. Also, mutations in <italic>DNMT3A, IDH1, TET2, FLT3 ITD, MLL</italic>, and <italic>EZH2</italic> are associated with poorer prognosis, whilst mutations in <italic>RUNX1, WT1</italic>, and <italic>TP53</italic> are predictive of the worst outcomes and increased relapse risk in both adult and childhood AML. Meanwhile, the prognostic impact of <italic>KIT, ASXL1/ASXL2</italic>, and <italic>BCOR</italic> mutations between adult and childhood AML showed a contradiction. The implications of <italic>FLT3-TKD, SMC3, RAD21, STAG2</italic>, and <italic>PHF6</italic> mutations in AML remain unclear and their usefulness as predictive biomarkers of relapse warrants further investigations. Taken together, gene mutations provide additional valuable clinical information which could help to refine the risk or prognostic classification of AML and to guide risk-adapted therapies. Discovery of gene mutations which are uniquely acquired or enriched in relapse AML may pave new ways toward the development of novel therapeutic therapies and precision medicine for AML.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>HAz drafted this manuscript. CP, HAl, N-SA, and RJ involved in the critical evaluation of the manuscript.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
</body>
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<fn-group>
<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This study is funded by Universiti Kebangsaan Malaysia Research Grant (Dana Impak Perdana DIP-2014-036).</p>
</fn>
</fn-group>
</back>
</article>