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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2022.862991</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Point Mutations in the <italic>FLT3</italic>-ITD Region Are Rare but Recurrent Alterations in Adult AML and Associated With Concomitant <italic>KMT2A</italic>-PTD</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Stasik</surname>
<given-names>Sebastian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1544970"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kramer</surname>
<given-names>Michael</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zukunft</surname>
<given-names>Sven</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>R&#xf6;llig</surname>
<given-names>Christoph</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Baldus</surname>
<given-names>Claudia D.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Platzbecker</surname>
<given-names>Uwe</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1274382"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Serve</surname>
<given-names>Hubert</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>M&#xfc;ller-Tidow</surname>
<given-names>Carsten</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sch&#xe4;fer-Eckart</surname>
<given-names>Kerstin</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kaufmann</surname>
<given-names>Martin</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1151838"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Krause</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1215016"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sauer</surname>
<given-names>Tim</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>H&#xe4;nel</surname>
<given-names>Mathias</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Neubauer</surname>
<given-names>Andreas</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ehninger</surname>
<given-names>Gerhard</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bornh&#xe4;user</surname>
<given-names>Martin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff13">
<sup>13</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/667412"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Schetelig</surname>
<given-names>Johannes</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff14">
<sup>14</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/865434"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Middeke</surname>
<given-names>Jan M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Thiede</surname>
<given-names>Christian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff15">
<sup>15</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/165985"/>
</contrib>
<on-behalf-of>the Study Alliance Leukemia (SAL)</on-behalf-of>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Medizinische Klinik und Poliklinik I, Universit&#xe4;tsklinikum Carl Gustav Carus</institution>, <addr-line>Dresden</addr-line>, <country>Germany</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ)</institution>, <addr-line>Heidelberg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>H&#xe4;matologie und Onkologie, Charit&#xe9;-Universit&#xe4;tsmedizin Berlin</institution>, <addr-line>Berlin</addr-line>, <country>Germany</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Medizinische Klinik und Poliklinik I, H&#xe4;matologie und Zelltherapie, Universit&#xe4;tsklinikum Leipzig</institution>, <addr-line>Leipzig</addr-line>, <country>Germany</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Medizinische Klinik II, Universit&#xe4;tsklinikum Frankfurt</institution>, <addr-line>Frankfurt am Main</addr-line>, <country>Germany</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>German Cancer Consortium (DKTK), Partner Site Frankfurt, and German Cancer Research Center (DKFZ)</institution>, <addr-line>Heidelberg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Medizinische Klinik V, Universit&#xe4;tsklinikum Heidelberg</institution>, <addr-line>Heidelberg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Klinik f&#xfc;r Innere Medizin V, Klinikum N&#xfc;rnberg Nord</institution>, <addr-line>N&#xfc;rnberg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Abteilung f&#xfc;r H&#xe4;matologie, Onkologie und Palliativmedizin, Robert-Bosch-Krankenhaus</institution>, <addr-line>Stuttgart</addr-line>, <country>Germany</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Medizinische Klinik V, Universit&#xe4;tsklinikum Erlangen</institution>, <addr-line>Erlangen</addr-line>, <country>Germany</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>Medizinische Klinik III, Klinikum Chemnitz</institution>, <addr-line>Chemnitz</addr-line>, <country>Germany</country>
</aff>
<aff id="aff12">
<sup>12</sup>
<institution>Klinik f&#xfc;r H&#xe4;matologie, Onkologie, Immunologie, Philipps Universit&#xe4;t Marburg</institution>, <addr-line>Marburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff13">
<sup>13</sup>
<institution>National Center for Tumor Diseases</institution>, <addr-line>Dresden</addr-line>, <country>Germany</country>
</aff>
<aff id="aff14">
<sup>14</sup>
<institution>Deutsche Knochenmarkspenderdatei (DKMS) Clinical Trials Unit</institution>, <addr-line>Dresden</addr-line>, <country>Germany</country>
</aff>
<aff id="aff15">
<sup>15</sup>
<institution>AgenDix GmbH</institution>, <addr-line>Dresden</addr-line>, <country>Germany</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Cyrus Khandanpour, University Hospital M&#xfc;nster, Germany</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Sheng-Li Xue, The First Affiliated Hospital of Soochow University, China; Maria Teresa Voso, University of Rome Tor Vergata, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Christian Thiede, <email xlink:href="mailto:christian.thiede@uniklinikum-dresden.de">christian.thiede@uniklinikum-dresden.de</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Hematologic Malignancies, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>862991</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Stasik, Kramer, Zukunft, R&#xf6;llig, Baldus, Platzbecker, Serve, M&#xfc;ller-Tidow, Sch&#xe4;fer-Eckart, Kaufmann, Krause, Sauer, H&#xe4;nel, Neubauer, Ehninger, Bornh&#xe4;user, Schetelig, Middeke and Thiede</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Stasik, Kramer, Zukunft, R&#xf6;llig, Baldus, Platzbecker, Serve, M&#xfc;ller-Tidow, Sch&#xe4;fer-Eckart, Kaufmann, Krause, Sauer, H&#xe4;nel, Neubauer, Ehninger, Bornh&#xe4;user, Schetelig, Middeke and Thiede</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) and the copyright owner(s) 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>
<italic>FLT3</italic>-ITD mutations are common druggable alterations in patients with acute myeloid leukemia (AML) and associated with poor prognosis. Beside typical ITD mutations, point mutations and deletions in the juxtamembrane domain (JMD) have been observed. However, due to the low frequency of these alterations, there is only limited information on molecular and clinical associations. To evaluate the prognostic impact of non-ITD mutations in the <italic>FLT3</italic> JMD region, we analyzed a large cohort of 1,539 adult AML patients treated in different protocols of the Study Alliance Leukemia, using next-generation sequencing. Non-ITD point mutations and deletions within the <italic>FLT3</italic> JMD were identified with a prevalence of ~1.23% (n = 19). Both <italic>FLT3</italic>-ITD and non-ITD mutations were associated with a higher rate of <italic>NPM1</italic> (42%&#x2013;61%; <italic>p</italic> &lt; 0.001) and <italic>DNMT3A</italic> mutations (37%&#x2013;43%; <italic>p</italic> &lt; 0.001), as well as an increased percentage of peripheral blood (54%&#x2013;65%) and bone marrow blast cells (74%; <italic>p</italic> &lt; 0.001), compared to <italic>FLT3</italic>-wild-type patients. Most significantly, AML patients with <italic>FLT3</italic> non-ITD mutations had a higher rate of concomitant <italic>KMT2A</italic>-PTD mutations (37.5%; <italic>p</italic> &lt; 0.001) as compared to <italic>FLT3</italic>-ITD (7%) or <italic>FLT3</italic>-wild-type cases (4.5%). In a multivariable analysis, <italic>FLT3</italic> non-ITD mutations were not an independent prognostic factor. However, patients with dual <italic>FLT3</italic> non-ITD and <italic>KMT2A</italic>-PTD mutations showed a trend for inferior outcome, which points at a functional interaction in this subset of AML.</p>
</abstract>
<kwd-group>
<kwd>
<italic>FLT3</italic>-ITD</kwd>
<kwd>point mutations</kwd>
<kwd>acute myeloid leukemia (AML)</kwd>
<kwd>clinical outcome</kwd>
<kwd>
<italic>KMT2A</italic>-PTD</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="27"/>
<page-count count="6"/>
<word-count count="3206"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The FMS-like tyrosine kinase 3 (FLT3) is a transmembrane receptor tyrosine kinase, which is expressed by hematopoietic stem cells and stimulates the development of myeloid and lymphoid progenitor cells (<xref ref-type="bibr" rid="B1">1</xref>). Mutations of the <italic>FLT3</italic> gene are identified in ~30% of patients with acute myeloid leukemia (AML). About 20%&#x2013;25% of AML patients show internal tandem duplications (<italic>FLT3</italic>-ITD), affecting the juxtamembrane domain (JMD) and/or the tyrosine kinase domain-1 (TKD1) of <italic>FLT3</italic> (<xref ref-type="bibr" rid="B2">2</xref>). In addition, mutations in exon 20, coding for the TKD2 region (most frequently affecting codons D835 and I836), can be detected in 7%&#x2013;10% of AML patients (<italic>FLT3</italic>-TKD) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Both <italic>FLT3</italic>-ITD and <italic>FLT3</italic>-TKD mutations constitutively activate the FLT3 kinase, inducing proliferation of leukemic populations, although differences in the signaling induced have been reported between these two mutations (<xref ref-type="bibr" rid="B1">1</xref>). While the clinical significance of <italic>FLT3</italic>-TKD mutations is uncertain, the presence of <italic>FLT3</italic>-ITD mutations in AML patients confers a poor prognosis with an increased risk of relapse and shorter overall survival (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Consequently, the <italic>FLT3</italic>-ITD mutational status is included in the current risk classification of the ELN-2017 recommendations and is recognized as target for specific TK inhibitors (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). However, several factors modify the prognostic impact of <italic>FLT3</italic>-ITD mutations, such as the allelic ratio and the presence of a concomitant <italic>NPM1</italic> mutation (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>In addition to typical ITD mutations, previous reports indicated the presence of rare non-ITD mutations (small deletions and point mutations) in the <italic>FLT3</italic> JMD of AML patients (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). However, due to the low frequency of these alterations, there are so far only casuistic reports available, with limited information on molecular and clinical associations. To investigate the prevalence and prognostic impact of non-ITD mutations in the <italic>FLT3</italic> JMD of adult patients with AML, we analyzed a large cohort of 1,539 patients with newly diagnosed AML to correlate these mutations with clinical characteristics, co-mutations, and outcome.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Patients</title>
<p>All patients (n = 1,539) investigated had newly diagnosed AML, were registered in clinical protocols of the Study Alliance Leukemia (SAL) (AML96, AML2003 or AML60+, SORAML), and had available biomaterial at diagnosis. Detailed descriptions of the treatment protocols have been published previously (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>); all protocols included intensive induction chemotherapy and consolidation treatment according to cytogenetic risk groups. The study was in agreement with the Helsinki declaration and approved by the ethical board of the Technical University Dresden (EK98032010).</p>
</sec>
<sec id="s2_2">
<title>Molecular Analysis</title>
<p>Molecular studies were performed on genomic DNA isolated from bone marrow (BM) aspirates or peripheral blood (PB) taken at diagnosis. DNA was extracted using the DNeasy Blood and Tissue Kit (Qiagen, Hilden, Germany) and quantified with the NanoDrop spectrophotometer. In addition to conventional fragment analysis, profiling of <italic>FLT3</italic> JMD/TKD1 mutational status and associated co-mutations was performed by targeted resequencing using the TruSight Myeloid assay (Illumina, San Diego, CA, USA) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Methods</bold>
</xref>). Briefly, for <italic>FLT3</italic> the panel covers the entire ITD region (AA 572&#x2013;630). Libraries were sequenced paired-end (150 bp) on a NextSeq instrument (Illumina) and analyzed using the Sequence Pilot Software (JSI medical systems) with a 5% variant allele frequency (VAF) mutation calling cutoff. <italic>KMT2A</italic>-PTD (partial tandem duplication) mutations (formerly <italic>MLL</italic>-PTD) were analyzed on cDNA (reverse transcribed from 1 &#xb5;g of total RNA; SuperScript VILO cDNA Synthesis Kit; Invitrogen, Carlsbad, CA, USA), using the Mentype AMLplex QS Kit (Biotype, Dresden, Germany) on a 3130xl Genetic Analyzer (Applied Biosystems, Foster, CA, USA).</p>
</sec>
<sec id="s2_3">
<title>Statistical Analysis</title>
<p>Categorical variables between groups were compared using the chi-squared test or a 2-sided Fisher&#x2019;s exact test. For continuous variables the non-parametric Mann&#x2013;Whitney U test was applied. <italic>p</italic> values &lt;0.05 were considered significant. To evaluate relapse-free survival (RFS) and overall survival (OS), the Kaplan&#x2013;Meier method and the log-rank test were used. For multivariable analysis of prognostic factors, Cox-proportional hazard regression models were used for survival endpoints, and logistic regression models were used for CR. All statistical analyses were performed using the R environment for statistical computing version 4.0.3.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Characterization of FLT3 Non-ITD Mutations in the JMD/TKD1 Region</title>
<p>
<italic>FLT3</italic>-ITD mutations were detected in 324 of 1,539 (21.1%) AML patients. Non-ITD mutations within the <italic>FLT3</italic> JMD were found in 19 cases (1.23%) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Patients with mutations in the TKD2 region (<italic>FLT3</italic> Exon 20; D835 and I836; n = 104) were excluded from this analysis. Patients without JMD/TKD1 mutation were classified as <italic>FLT3</italic>-ITD wild-type (wt) (n = 1,196). Most non-ITD mutations were single-nucleotide missense variants (SNV; n = 15; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Deletions were found in 4 patients, exclusively comprising small in-frame deletions (1&#x2013;4 amino acid residues). <italic>FLT3</italic> non-ITD mutations were detected with a median VAF of 28% (range 7%&#x2013;50%) at subclonal levels in the majority of patients (73.7%; <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). Recurrent point mutations affected residues V592 (n = 7), Y572 (n = 3), and L576 (n = 2) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Compared to <italic>FLT3</italic>-wt patients, both ITD and non-ITD mutations had increased rates of concomitant mutations in <italic>NPM1</italic> (60.7% and 42.1% vs. 23.4%; <italic>p</italic> &lt; 0.001) and <italic>DNMT3A</italic> (43% and 37% vs. 24%; <italic>p</italic>&#xa0;&lt; 0.001; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Vice versa, <italic>FLT3</italic>-wt patients were significantly more often affected by mutations in <italic>NRAS</italic> and <italic>KIT</italic>. No major difference between <italic>FLT3</italic> mutant and -wt patients was observed for other frequently mutated genes in AML, such as <italic>IDH1</italic> or <italic>TET2</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S2</bold>
</xref>). Notably, non-ITD mutations (exclusively point mutations) were associated with a higher frequency of concomitant <italic>KMT2A</italic>-PTD mutations (37.5% vs. 7% and 4.5%; <italic>p</italic> &lt; 0.001), compared to <italic>FLT3</italic>-ITD or <italic>FLT3</italic>-wt patients (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). In addition to <italic>KMT2A</italic>-PTD, other 11q abnormalities were also significantly more frequent in patients with non-ITD variants (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Clinical and molecular associations of <italic>FLT3</italic> non-ITD mutations in AML. <bold>(A)</bold> Frequencies of molecular alterations detected in the <italic>FLT3</italic> JMD/TKD1 region of 1,539 AML patients: ITD, (internal tandem duplication); PM, (point mutation); and Del, (deletion). <bold>(B)</bold> Schematic illustration showing the position of acquired <italic>FLT3</italic> non-ITD mutations (triangles = point mutations, circles = deletions) and the domain structure of <italic>FLT3</italic>: lg-like, (ligand binding domain); TM, (transmembrane domain); JMD, (juxtamembrane domain); TKD1, (tyrosine kinase domain-1); KI, (kinase insert); TKD2, (tyrosine kinase domain-2). <bold>(C)</bold> Associated co-mutations in <italic>FLT3</italic> non-ITD patients. <italic>KMT2A</italic>-PTD data are available for 16/19 patients with <italic>FLT3</italic> non-ITD mutation. Genes with &lt;10% mutation rate are not shown: <italic>EZH2</italic>, <italic>ASXL1</italic>, <italic>IKFZ1</italic>, <italic>NRAS</italic>, <italic>RUNX1</italic>, <italic>SRSF2</italic>, <italic>TP53</italic>. <bold>(D)</bold> Kaplan&#x2013;Meier analysis showing the probability of overall survival (OS) for AML patients without molecular alterations in the <italic>FLT3</italic>-ITD region (wt; n = 1,196; black), ITD mutation (n = 324; red), and non-ITD mutation (n = 19; blue). <bold>(E)</bold> Results of the multivariable analysis of prognostic factors for overall survival, (OS); relapse-free survival, (RFS) and complete remission, (CR1).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-862991-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical and molecular characteristics of patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Parameter </th>
<th valign="top" align="center">
<italic>FLT3</italic>-ITD</th>
<th valign="top" align="center">
<italic>FLT3</italic> non-ITD</th>
<th valign="top" align="center">
<italic>p</italic>-value<italic>
<sup>c</sup>
</italic>
</th>
<th valign="top" align="center">
<italic>FLT3</italic> wt</th>
<th valign="top" align="center">
<italic>p</italic>-value<italic>
<sup>d</sup>
</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>No. of patients (n)</bold>
</td>
<td valign="top" align="center">324</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1196</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age, years, median (IQR)</bold>
</td>
<td valign="top" align="center">55 (44&#x2013;64)</td>
<td valign="top" align="center">51 (45&#x2013;60)</td>
<td valign="top" align="center">0.289</td>
<td valign="top" align="center">56 (45&#x2013;66)</td>
<td valign="top" align="center">0.405</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sex, n/nval (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.486</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>0.049</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">169/324 (52.2)</td>
<td valign="top" align="center">12/19 (63.2)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">548/1196 (45.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">155/324 (47.8)</td>
<td valign="top" align="center">7/19 (36.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">648/1196 (54.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Disease status, n/nval (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>0.045</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>0.004</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>De novo</italic>
</td>
<td valign="top" align="center">290/322 (90.1)</td>
<td valign="top" align="center">17/19 (89.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">974/1180 (82.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">sAML</td>
<td valign="top" align="center">25/322 (7.8)</td>
<td valign="top" align="center">0/19 (0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">155/1180 (13.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">tAML</td>
<td valign="top" align="center">7/322 (2.2)</td>
<td valign="top" align="center">2/19 (10.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">51/1180 (4.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>ELN-Risk 2017, n/nval (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.279</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Favorable</td>
<td valign="top" align="center">89/298 (29.9)</td>
<td valign="top" align="center">2/15 (13.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">447/1109 (40.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Intermediate</td>
<td valign="top" align="center">123/298 (41.3)</td>
<td valign="top" align="center">9/15 (60)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">238/1109 (21.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Adverse</td>
<td valign="top" align="center">86/298 (28.9)</td>
<td valign="top" align="center">4/15 (26.7)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">424/1109 (38.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Normal karyotype, n/nval (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>0.003</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">77/303 (25.4)</td>
<td valign="top" align="center">10/16 (62.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">568/1125 (50.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">226/303 (74.6)</td>
<td valign="top" align="center">6/16 (37.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">557/1125 (49.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Complex karyotype, n/nval (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">297/305 (97.4)</td>
<td valign="top" align="center">17/17 (100)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">908/1083 (83.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">8/305 (2.6)</td>
<td valign="top" align="center">0/17 (0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">175/1083 (16.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>t(11;v), n/nval (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">289/291 (99.3)</td>
<td valign="top" align="center">10/12 (83.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">989/1018 (97.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2/291 (0.7)</td>
<td valign="top" align="center">2/12 (16.7)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">29/1018 (2.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>ECOG score, n/nval (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.646</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>0.021</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">0&#x2013;1</td>
<td valign="top" align="center">170/266 (63.9)</td>
<td valign="top" align="center">13/18 (72.2)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">717/987 (72.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">2&#x2013;4</td>
<td valign="top" align="center">96/266 (36.1)</td>
<td valign="top" align="center">5/18 (27.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">270/987 (27.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Laboratory, median (IQR)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">WBC (Gpt/l)</td>
<td valign="top" align="center">46.09 (17.1&#x2013;100.65)</td>
<td valign="top" align="center">39.6 (13.44&#x2013;63.5)</td>
<td valign="top" align="center">0.527</td>
<td valign="top" align="center">13.3 (3.59&#x2013;40.68)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin (mmol/l)</td>
<td valign="top" align="center">5.77 (5.01&#x2013;6.77)</td>
<td valign="top" align="center">5.34 (5.25&#x2013;5.9)</td>
<td valign="top" align="center">0.653</td>
<td valign="top" align="center">5.9 (5.03&#x2013;7.09)</td>
<td valign="top" align="center">0.165</td>
</tr>
<tr>
<td valign="top" align="left">PLT (Gpt/l)</td>
<td valign="top" align="center">58 (30.5&#x2013;102.5)</td>
<td valign="top" align="center">42 (29.5&#x2013;89)</td>
<td valign="top" align="center">0.474</td>
<td valign="top" align="center">48 (26&#x2013;92)</td>
<td valign="top" align="center">
<bold>0.028</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral blasts (%)</td>
<td valign="top" align="center">63 (25&#x2013;84)</td>
<td valign="top" align="center">54 (20&#x2013;86.5)</td>
<td valign="top" align="center">0.960</td>
<td valign="top" align="center">33 (9&#x2013;66)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">LDH (U/l)</td>
<td valign="top" align="center">602.4 (389&#x2013;964)</td>
<td valign="top" align="center">591 (432&#x2013;859)</td>
<td valign="top" align="center">0.757</td>
<td valign="top" align="center">411 (255&#x2013;692.25)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">BM blasts (%)</td>
<td valign="top" align="center">74 (57.36&#x2013;85)</td>
<td valign="top" align="center">74 (64.25&#x2013;83.5)</td>
<td valign="top" align="center">0.539</td>
<td valign="top" align="center">59 (41.5&#x2013;74.5)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Frequent co-mutations, n/nval (%)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>KMT2A</italic>-PTD</td>
<td valign="top" align="center">9/128 (7)</td>
<td valign="top" align="center">6/16 (37.5)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
<td valign="top" align="center">19/424 (4.5)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>NPM1</italic>
</td>
<td valign="top" align="center">196/323 (60.7)</td>
<td valign="top" align="center">8/19 (42.1)</td>
<td valign="top" align="center">0.173</td>
<td valign="top" align="center">279/1191 (23.4)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>DNMT3A</italic>
</td>
<td valign="top" align="center">139/324 (43)</td>
<td valign="top" align="center">7/19 (37)</td>
<td valign="top" align="center">0.779</td>
<td valign="top" align="center">282/1196 (24)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>IDH2</italic>
</td>
<td valign="top" align="center">30/324 (9)</td>
<td valign="top" align="center">4/19 (21)</td>
<td valign="top" align="center">0.202</td>
<td valign="top" align="center">186/1196 (16)</td>
<td valign="top" align="center">
<bold>0.011</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>WT1</italic>
</td>
<td valign="top" align="center">40/324 (12)</td>
<td valign="top" align="center">3/19 (16)</td>
<td valign="top" align="center">0.933</td>
<td valign="top" align="center">68/1196 (6)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>KIT</italic>
</td>
<td valign="top" align="center">5/324 (2)</td>
<td valign="top" align="center">0/19 (0)</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">70/1196 (6)</td>
<td valign="top" align="center">
<bold>0.004</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>NRAS</italic>
</td>
<td valign="top" align="center">30/324 (9)</td>
<td valign="top" align="center">1/19 (5)</td>
<td valign="top" align="center">0.858</td>
<td valign="top" align="center">211/1196 (18)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Clinical outcome</bold>
<italic>
<sup>a</sup>
</italic>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Follow-up, median (IQR) in months</td>
<td valign="top" align="center">100 (70&#x2013;116)</td>
<td valign="top" align="center">108 (80&#x2013;127)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">86 (40&#x2013;115)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CR rate, n (%)</td>
<td valign="top" align="center">252 (77.8)</td>
<td valign="top" align="center">16 (85)</td>
<td valign="top" align="center">0.513</td>
<td valign="top" align="center">818 (68.4)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">RFS, median (95% CI) in months<italic>
<sup>b</sup>
</italic>
</td>
<td valign="top" align="center">9.69 (7.98&#x2013;14.2)</td>
<td valign="top" align="center">18.5 (13.8&#x2013;NA)</td>
<td valign="top" align="center">0.181</td>
<td valign="top" align="center">22.8 (18.3&#x2013;27.4)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">OS, median (95% CI) in months</td>
<td valign="top" align="center">13.1 (10.5&#x2013;17.6)</td>
<td valign="top" align="center">31.7 (19.8&#x2013;NA)</td>
<td valign="top" align="center">0.109</td>
<td valign="top" align="center">17.9 (15.9&#x2013;21.4)</td>
<td valign="top" align="center">0.107</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Significant differences are presented in bold.</p>
</fn>
<fn>
<p>
<sup>a</sup>Results of the univariate logistic regression model for CR1 and Cox regression model for RFS/OS; NA means infinity.</p>
</fn>
<fn>
<p>
<sup>b</sup>The median RFS is calculated with the positively selected subgroup of patients with a CR.</p>
</fn>
<fn>
<p>
<sup>c</sup>p-values for the differences between FLT3-ITD and FLT3 non-ITD patients.</p>
</fn>
<fn>
<p>
<sup>d</sup>p-values for the comparison of all three groups (FLT3-ITD, FLT3 non-ITD and FLT3 wt).</p>
</fn>
<fn>
<p>tAML, therapy-related acute myeloid leukemia; sAML, secondary acute myeloid leukemia; WBC, white blood cells; BM, bone marrow; PB, peripheral blood; LDH, lactate dehydrogenase; ELN, European LeukemiaNet; OS, overall survival; RFS, relapse-free survival; CR, complete remission; ED30, early death within 30 days; EFS, event-free survival; n number; nval, number of valid non-missing observations; IQR, interquartile range; 95% CI, 95% confidence interval.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Associations of FLT3 Non-ITD Mutations With Clinical Features and Outcome</title>
<p>For patients with <italic>FLT3</italic> non-ITD mutations, the median follow-up was 108 months (IQR 80&#x2013;127 months). The first complete remission (CR1) after initial treatment was achieved in 16/19 (84.2%) patients. The relapse rate after CR1 was 62.5% (10/16). Of these patients, 20% (2/10) achieved a second CR. The comparison between patients with <italic>FLT3</italic> non-ITD and ITD variants revealed significant similarities (as compared to <italic>FLT3</italic>-wt patients) but also several differences of clinical parameters (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Patients with non-ITD mutations (median age 51; range 45&#x2013;60 years) were diagnosed significantly more often with tAML (10.5% vs. 2.2%; <italic>p</italic> = 0.045) and had a higher rate of karyotype aberrations compared to <italic>FLT3</italic>-ITD patients (62.5% vs. 25.4%; <italic>p</italic> = 0.003). No differences were detected for the relative proportion of ELN-2017 adverse risk, the ECOG performance status, or the presence of a complex aberrant karyotype between both groups. Likewise, general similarities were observed for most laboratory parameters, such as WBC counts (median 39.6&#x2013;46.09 Gpt l<sup>-1</sup>), PB (median 54&#x2013;63 Gpt l<sup>-1</sup>), and BM blasts (median 74%). In contrast, <italic>FLT3</italic>-wt status was associated with a higher rate of ELN-2017 adverse risk (38.2%; <italic>p</italic> &lt; 0.001) and complex aberrant karyotype (16.2%; <italic>p</italic> &lt; 0.001), as well as lower WBC counts and lower rates of PB and BM blasts compared to <italic>FLT3</italic> mutant patients. With respect to clinical outcome, <italic>FLT3</italic> non-ITD mutations were not associated with CR rate (85%), relapse-free survival (median 18.5 months), or overall survival (median 31.7 months) in univariate analyses (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref> and <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Likewise, the multivariable analysis revealed that non-ITD mutations (as well as <italic>FLT3</italic>-ITD mutations) were not an independent prognostic factor for outcome (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S3</bold>
</xref>). Interestingly, there was an insignificant trend toward inferior RFS (HR 6.64; CI 95% 0.691&#x2013;63.9; <italic>p</italic> = 0.101; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>) for patients with the mutual presence of <italic>FLT3</italic> non-ITD and <italic>KMT2A</italic>-PTD mutations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S1</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S3</bold>
</xref>). Regarding the effect of transplantation on outcome, only two (out of 19) patients with <italic>FLT3</italic> non-ITD mutations underwent allogeneic hematopoietic stem cell transplantation (alloHSCT) without subsequent event (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S2</bold>
</xref>). Thus, compared to <italic>FLT3</italic>-ITD and -wt patients, no significant differences were observed.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In the present study, we analyzed 1,539 adult AML patients for the prevalence and prognostic impact of non-ITD mutations in the JMD/TKD1 region of <italic>FLT3</italic>. We confirm that JMD point mutations and deletions are rare, but recurrent alterations in patients with AML at a frequency in the range of previous estimates (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Compared to AML, higher rates (~4-fold) of JMD non-ITD mutations were previously detected in patients with acute lymphoblastic leukemia (ALL) (<xref ref-type="bibr" rid="B8">8</xref>). Among non-ITD mutations in our cohort, the point mutations Y572C, V592G (<xref ref-type="bibr" rid="B9">9</xref>), L576Q (<xref ref-type="bibr" rid="B10">10</xref>), G583S (<xref ref-type="bibr" rid="B8">8</xref>), Y591H (<xref ref-type="bibr" rid="B11">11</xref>), and V592A (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>) as well as the deletion EY598_599del (<xref ref-type="bibr" rid="B14">14</xref>) were previously recognized as gain-of-function mutations that result in constitutive kinase activation and stimulate AML growth through aberrant STAT5 signaling (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>). In addition, in one patient we identified a novel and likely damaging (PolyPhen score = 1) point mutation at Y599N (30% VAF), not previously reported in the literature. However, functional data indicate that any alteration of the JMD sequence interferes with the kinase auto-inhibition, similar to the effect of <italic>FLT3</italic>-ITD mutations (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Accordingly, <italic>in vitro</italic> studies illustrated the response of AML cells with non-ITD JMD mutations to pharmacologic FLT3 inhibition (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>), which supports the idea to use any of the approved TKIs in patients with this type of mutation (<xref ref-type="bibr" rid="B5">5</xref>). In line with this, we demonstrate high similarities between patients with <italic>FLT3</italic>-ITD and non-ITD mutations, with respect to major laboratory parameters (i.e., an increased percentage of blast cells in PB and BM) and the rate of co-mutated driver variants, which is consistent with the mutational landscape and clinical phenotype typically observed for patients with <italic>FLT3</italic>-ITD mutations (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B21">21</xref>). For example, a high rate of concomitant <italic>NPM1</italic> and <italic>DNMT3A</italic> mutations but mutual exclusivity with downstream effectors such as <italic>NRAS</italic> in <italic>FLT3</italic> mutant patients has been described in detail (<xref ref-type="bibr" rid="B21">21</xref>). Similar to our data, partial tandem duplications (PTD) of the histone methyltransferase <italic>KMT2A</italic> (MLL) occur in 3%&#x2013;5% of AML cases and are typically enriched in patients with <italic>FLT3</italic>-ITD mutations (as compared to <italic>FLT3</italic>-wt) (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). In addition, we show a not previously reported high association of <italic>KMT2A</italic>-PTD mutations with <italic>FLT3</italic> JMD point mutations, which adds on initial observations on the genomic landscape of <italic>KMT2A</italic>-PTD-mutated AML (<xref ref-type="bibr" rid="B22">22</xref>). More importantly, although the presence of <italic>FLT3</italic> non-ITD mutations alone was not an independent prognostic factor, patients with dual non-ITD and <italic>KMT2A</italic>-PTD mutations showed a trend for inferior outcome. While <italic>KMT2A</italic>-PTD mutations are typically associated with poor prognosis, isolated <italic>KMT2A</italic>-PTD mutations are not sufficient to establish leukemic transformation of hematopoietic cells, highlighting the importance of cooperating genetic lesions, such as <italic>FLT3</italic> mutations in KMT2A-rearranged leukemias (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). Likewise, functional data indicate the transcriptional regulation of <italic>FLT3</italic> by KMT2A <italic>via</italic> aberrant <italic>MEIS1</italic> gene expression (<xref ref-type="bibr" rid="B25">25</xref>). More recently, the combined inhibition of menin-MLL (<italic>MLL1</italic>, <italic>KMT2A</italic>) and FLT3 demonstrated a synergistic therapeutic opportunity in these leukemia subtypes (<xref ref-type="bibr" rid="B26">26</xref>). However, mutations of genes associated with RAS signaling (i.e., <italic>FLT3</italic>) may be frequently lost or emerge during AML progression, with relevance for post-remission strategies (<xref ref-type="bibr" rid="B27">27</xref>). In this regard, future investigations are needed to evaluate the impact of <italic>FLT3</italic> non-ITD mutations for relapse development. In conclusion, we show that <italic>FLT3</italic> non-ITD mutations are rare but recurrent alterations in AML and associated with similar clinical features like FLT3-ITD variants. Interestingly, our data point at a functional interaction of <italic>FLT3</italic> non-ITD mutations with <italic>KMT2A</italic>-PTD and 11q-abnormalities as cooperating genetic events, which might be indicative of a distinct pathway of genesis in this subset of AML.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The datasets presented in this article are not readily available because patients did not consent to have data uploaded to a public database. Requests to access the datasets should be directed to the corresponding author on reasonable request: <email xlink:href="mailto:christian.thiede@uniklinikum-dresden.de">christian.thiede@uniklinikum-dresden.de</email>.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Technical University Dresden (EK98032010). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>Conception of the work: CT, SS. Sample/Data Collection: All authors. Aquisition/Analysis of Data: CT, SS. Bioinformatic Analysis: SS. Statistical Analysis: MK, SZ. Interpretation of Data: CT, SS. Drafted the manuscript: SS. Administrative support: GE, MB. All authors have read and approved the manuscript being submitted.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>CT is CEO and co-owner of AgenDix GmbH, a company performing molecular diagnostics.</p>
<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 id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>For skillful technical assistance, M. B&#xf6;hm and M. Hartwig are highly acknowledged.</p>
</ack>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2022.862991/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.862991/full#supplementary-material</ext-link>
</p>
  <supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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