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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="brief-report">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2017.00258</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Perspective</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Integration of Next-Generation Sequencing to Treat Acute Lymphoblastic Leukemia with Targetable Lesions: The St. Jude Children&#x02019;s Research Hospital Approach</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Inaba</surname> <given-names>Hiroto</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/427596"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Azzato</surname> <given-names>Elizabeth M.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mullighan</surname> <given-names>Charles G.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/32346"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Oncology, St. Jude Children&#x02019;s Research Hospital</institution>, <addr-line>Memphis, TN</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Pathology, St. Jude Children&#x02019;s Research Hospital</institution>, <addr-line>Memphis, TN</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Brenton Garrett Mar, Dana&#x02013;Farber Cancer Institute, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Sarah K. Tasian, University of Pennsylvania, United States; Yana Pikman, Dana&#x02013;Farber Cancer Institute, United States; Jose Andres Yunes, Centro Infantil Boldrini, Brazil</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Hiroto Inaba, <email>hiroto.inaba&#x00040;stjude.org</email></corresp>
<fn fn-type="other" id="fn001"><p>Specialty section: This article was submitted to Pediatric Hematology and Hematological Malignancies, a section of the journal Frontiers in Pediatrics</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>5</volume>
<elocation-id>258</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>08</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>11</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Inaba, Azzato and Mullighan.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Inaba, Azzato and Mullighan</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>Acute lymphoblastic leukemia (ALL) is the most common type of cancer in children. In recent Total Therapy studies conducted at St. Jude Children&#x02019;s Research Hospital, children with ALL had a 5-year overall survival of around 94%. This is the result of a combination of risk stratification based on the biological features of the leukemic cells and the response to treatment (as assessed by the detection of minimal residual disease), treatment modification based on pharmacodynamic and pharmacogenomic data, and improved supportive care. However, innovative approaches are required to further improve survival to as close to 100% as possible and to reduce the adverse effects of treatment. Next-generation sequencing of leukemic cell DNA and RNA, as well as of germline DNA, can identify submicroscopic genetic structural changes and sequence alterations that contribute to leukemogenesis. Next-generation sequencing data can be used to define new ALL subtypes, to help improve treatment response and reduce adverse effects, and to identify novel prognostic markers and therapeutic targets to facilitate personalized precision medicine. In this article, we describe our approach to detecting targetable lesions in patients with ALL by next-generation sequencing and explain how we integrate the sequencing data into the treatment of these patients.</p>
</abstract>
<kwd-group>
<kwd>acute lymphoblastic leukemia</kwd>
<kwd>next-generation sequencing</kwd>
<kwd>Philadelphia chromosome-like leukemia</kwd>
<kwd>molecularly targeted therapy</kwd>
<kwd>early T-cell precursor</kwd>
</kwd-group>
<contract-num rid="cn01">CA21765</contract-num>
<contract-sponsor id="cn01">National Cancer Institute<named-content content-type="fundref-id">10.13039/100000054</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="22"/>
<page-count count="5"/>
<word-count count="3155"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Acute Lymphoblastic Leukemia (ALL) Treatment at St. Jude Children&#x02019;s Research Hospital</title>
<p>The survival rates of children and adolescents with ALL treated on Total Therapy study protocols at St. Jude Children&#x02019;s Research Hospital (St. Jude) have improved considerably over time (<xref ref-type="bibr" rid="B1">1</xref>). In the St. Jude Total XV study (NCT00137111), which enrolled patients with B-cell ALL (B-ALL) [including Philadelphia chromosome (Ph)- or <italic>BCR-ABL1</italic>-positive ALL] or T-cell ALL (T-ALL) who were aged 1&#x02013;18&#x02009;years at diagnosis, 5-year event-free survival was increased to 87% and overall survival to 94%. In this protocol, prophylactic cranial irradiation was completely replaced by risk-adapted intrathecal chemotherapy and the incidence of isolated CNS relapse was reduced to 2.7% (<xref ref-type="bibr" rid="B2">2</xref>), which is comparable to that in previous St. Jude studies and other collaborative studies that incorporated irradiation for up to 33% of patients (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). However, more effective treatment strategies are needed to further improve survival.</p>
<p>Although the outcomes for patients with St. Jude low-risk ALL [equivalent to National Cancer Institute (NCI) standard-risk ALL] are now excellent, there is still a need for substantial improvement in the cure rates for patients with St. Jude standard-risk and high-risk ALL (equivalent to NCI high-risk and very high-risk ALL, respectively). Our latest frontline ALL treatment protocol, Total XVII (NCT03117751), incorporates novel precision-medicine strategies based on inherited and leukemia/lymphoma-specific genomic features and targeted treatment approaches.</p>
</sec>
<sec id="S2">
<title>Philadelphia Chromosome&#x02013;Like (Ph-Like) ALL</title>
<p>Ph-like ALL (also known as <italic>BCR-ABL1</italic>&#x02013;like ALL), a recently described subtype of B-ALL, is characterized by a gene-expression profile similar to that of Ph-positive ALL; a variety of genetic alterations that activate tyrosine kinase signaling; the mutation of lymphoid transcription factor genes such as <italic>IKZF1</italic> (in 70%&#x02013;80% of cases); and a poor outcome (<xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B8">8</xref>). Because the observed kinase-activating alterations are potentially targetable with clinically available tyrosine kinase inhibitors (TKIs), many groups studying leukemia are implementing the diagnosis of Ph-like ALL in prospective clinical trials.</p>
<p>In Ph-like ALL, there are <italic>ABL-</italic>class rearrangements involving <italic>ABL1, ABL2, CSF1R, PDGFRA</italic>, or <italic>PDGFRB</italic>, resulting in the expression of fusion genes (Table <xref ref-type="table" rid="T1">1</xref>) (<xref ref-type="bibr" rid="B7">7</xref>). Multiple fusion partner genes have been reported, but in each case the fusion involves the kinase as the downstream partner and, therefore, preserves the kinase domain.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Representative kinase rearrangements and therapeutic targets in Ph-like ALL.<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Kinase</th>
<th valign="top" align="left">Tyrosine kinase inhibitor</th>
<th valign="top" align="center">Number of gene partners</th>
<th valign="top" align="left">Fusion partner genes</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>ABL1</italic></td>
<td align="left" valign="top">Dasatinib</td>
<td align="center" valign="top">12</td>
<td align="left" valign="top"><italic>CENPC, ETV6, FOXP1, LSM14, NUP153, NUP214, RCSD1, RANBP2, SNX2, SFPQ, SPTAN1, ZMIZ1</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>ABL2</italic></td>
<td align="left" valign="top">Dasatinib</td>
<td align="center" valign="top">3</td>
<td align="left" valign="top"><italic>PAG1, RCSD1, ZC3HAV1</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>CSF1R</italic></td>
<td align="left" valign="top">Dasatinib</td>
<td align="center" valign="top">3</td>
<td align="left" valign="top"><italic>SSBP2, MEF2D, TBL1XR1</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>PDGFRB</italic></td>
<td align="left" valign="top">Dasatinib</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top"><italic>ATF7IP, EBF1, ETV6, SSBP2, TNIP1, ZEB2, ZMYND8</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>PDGFRA</italic></td>
<td align="left" valign="top">Dasatinib</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top"><italic>FIP1L1</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>CRLF2</italic></td>
<td align="left" valign="top">JAK2 inhibitor</td>
<td align="center" valign="top">2</td>
<td align="left" valign="top"><italic>IGH, P2RY8</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>JAK2</italic></td>
<td align="left" valign="top">JAK2 inhibitor</td>
<td align="center" valign="top">19</td>
<td align="left" valign="top"><italic>ATF7IP, BCR, EBF1, ETV6, PAX5, PCM1, PPFIBP1, RFX3, SSBP2, STRN3, TERF2, TPR, USP25, ZNF274, GOLGA5, SMU1, HMBOX1, SNX29, ZNF340</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>EPOR</italic></td>
<td align="left" valign="top">JAK2 inhibitor</td>
<td align="center" valign="top">4</td>
<td align="left" valign="top"><italic>IGH, IGK, LAIR1, THADA</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>TSLP</italic></td>
<td align="left" valign="top">JAK2 inhibitor</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top"><italic>IQGAP2</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>DGKH</italic></td>
<td align="left" valign="top">Unknown</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top"><italic>ZFAND3</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>IL2RB</italic></td>
<td align="left" valign="top">JAK1/JAK3 inhibitor</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top"><italic>MYH9</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>NTRK3</italic></td>
<td align="left" valign="top">TRK inhibitor</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top"><italic>ETV6</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>PTK2B</italic></td>
<td align="left" valign="top">FAK inhibitor</td>
<td align="center" valign="top">3</td>
<td align="left" valign="top"><italic>KDM6A, STAG2, TMEM2</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>TYK2</italic></td>
<td align="left" valign="top">TYK2 inhibitor</td>
<td align="center" valign="top">3</td>
<td align="left" valign="top"><italic>MYB, SMARCA4, ZNF340</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>FLT3</italic></td>
<td align="left" valign="top">FLT3 inhibitor</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top"><italic>ZMYM2</italic></td>
</tr>
<tr>
<td align="left" valign="top"><italic>FGFR1</italic></td>
<td align="left" valign="top">Sorafenib/dasatinib</td>
<td align="center" valign="top">1</td>
<td align="left" valign="top"><italic>BCR</italic></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1"><p><italic><sup>a</sup>Cited from Ref. (<xref ref-type="bibr" rid="B7">7</xref>,<xref ref-type="bibr" rid="B11">11</xref>)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The JAK&#x02013;STAT signaling pathway is also an important mediator of signals from hematopoietic cytokine receptors, and its activation is frequently detected in Ph-like ALL (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>). <italic>JAK2/EPOR</italic> rearrangements include more than 10 different fusions of <italic>JAK2</italic> that preserve the JAK2 kinase domain, along with rearrangements of <italic>EPOR</italic> with the immunoglobulin heavy (<italic>IGH</italic>) or kappa (<italic>IGK</italic>) loci that result in their overexpression and the activation of receptor signaling (Table <xref ref-type="table" rid="T1">1</xref>). Approximately 50% of patients with Ph-like ALL have a <italic>CRLF2</italic> rearrangement in the Xp/Yp pseudoautosomal region 1 (<xref ref-type="bibr" rid="B10">10</xref>). <italic>CRLF2</italic> encodes the receptor for thymic stromal lymphopoietin. Rearrangement of <italic>CRLF2</italic> into the <italic>IGH</italic> locus at 14q32 or a focal deletion immediately upstream of the gene results in the fusions <italic>IGH-CRLF2</italic> and <italic>P2RY8</italic>-<italic>CRLF2</italic>, respectively, leading to CRLF2 overexpression. Approximately 50% of <italic>CRLF2</italic> rearrangements are accompanied by activating <italic>JAK1</italic> or <italic>JAK2</italic> mutations. In addition to these rearrangements, up to 15% of pediatric patients with Ph-like ALL have mutations that activate the JAK&#x02013;STAT signaling pathway. These mutations include those in genes encoding cytokine receptors (<italic>IL7R</italic> or <italic>IL2RB</italic>); activating mutations in the Janus kinase genes themselves (<italic>JAK1</italic> or <italic>JAK3</italic>); and mutations that impair the function of negative regulators of JAK&#x02013;STAT signaling (<italic>SH2B3</italic>) (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B11">11</xref>).</p>
</sec>
<sec id="S3">
<title>Diagnostic Evaluation of Newly Diagnosed ALL</title>
<p>To capture these relevant alterations in the Total XVII protocol, diagnostic testing involves not only established morphologic, immunophenotyping, and molecular genetic approaches but also next-generation sequencing diagnostics that are performed as the clinical standard of care for all consented patients.</p>
<p>Initially, the DNA index of each patient sample is measured by flow cytometry, and the samples are screened for selected ALL fusions (i.e., <italic>TCF3-PBX1, ETV6-RUNX1, MLL</italic> rearrangement, and <italic>BCR-ABL1</italic>) by RT-PCR and fluorescence <italic>in situ</italic> hybridization (FISH) (Figure <xref ref-type="fig" rid="F1">1</xref>). Concurrently, the samples undergo RNA sequencing (RNA-Seq) for fusion detection, using a validated in-house <italic>de novo</italic> assembly and fusion&#x02013;detection algorithm. This broad approach allows the detection of additional known and novel fusion transcripts, including <italic>ABL-</italic>class fusions, which are reported by day 15 to enable therapy stratification (Table <xref ref-type="table" rid="T1">1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Diagnostic procedure for and treatment of B- and T-acute lymphoblastic leukemia (ALL) with targetable lesions and early T-cell precursor ALL in Total XVII. FISH, fluorescence <italic>in situ</italic> hybridization; MRD, minimal residual disease.</p></caption>
<graphic xlink:href="fped-05-00258-g001.tif"/>
</fig>
<p>At study initiation, patients are also offered integrative whole-genome, whole-exome, and whole-transcriptome sequencing, performed in a College of American Pathologists (CAP)/Clinical Laboratory Improvement Amendments-accredited laboratory (Figure <xref ref-type="fig" rid="F1">1</xref>). The analysis pipeline interrogates tumor and germline sequence information to detect copy-number variations, structural variations, fusion transcripts, single-nucleotide variants, and insertions and deletions, integrating data from all three platforms. As this testing requires the use of paired germline genomic information derived from skin biopsy or remission blood samples, clinical consent must be obtained. This clinical comprehensive genomic-sequencing approach is used to identify all somatic genetic alterations relevant to ALL. These include sequence variants, which are not evaluated in the initial RNA-Seq analysis because of time constraints and the complexity of the analysis, especially those variants that result in kinase-activating lesions amenable to targeting with TKIs. Comprehensive sequencing can also provide information on structural and copy-number variants not captured by earlier analyses (e.g., deletions involving <italic>SH2B3</italic> or <italic>IKZF1</italic>), which may be especially relevant to Ph-like ALL and actionable with TKIs. Comprehensive sequencing data are reported by days 28&#x02013;42 of remission induction. After diagnostic testing is complete, patients are reapproached for germline testing. If consent is obtained for constitutional testing, data from the previously sequenced germline sample are reanalyzed to detect alterations in cancer predisposition genes.</p>
<p>Other collaborative groups have also developed diagnostic strategies for Ph-like ALL. For example, the Children&#x02019;s Oncology Group (COG) uses tiered screening algorithms, employing TaqMan low-density array cards for NCI high-risk B-ALL, followed by sequential genomic profiling (e.g., evaluation of CRLF2 expression, FISH for <italic>CRLF2</italic> rearrangement and Sanger sequencing for <italic>JAK1/JAK2</italic> mutations for cases with high CRLF2 expression, and RT-PCR and/or transcriptome sequencing for cases with low CRLF2 expression) (<xref ref-type="bibr" rid="B12">12</xref>). However, our comprehensive analysis can identify genetic alterations other than <italic>ABL</italic>-class fusions and those associated with JAK-STAT activation, and it provides the flexibility to interrogate emerging new prognostic and predictive markers in real time and to accommodate new risk classifications or the incorporation of new agents.</p>
</sec>
<sec id="S4">
<title>Treatment of ALL with Targetable Lesions</title>
<p>Of the patients with B-ALL treated on the St. Jude Total XV protocol, 12% had Ph-like ALL, which was associated with high levels of minimal residual disease (MRD) during induction (<xref ref-type="bibr" rid="B13">13</xref>). Possibly because of our using MRD-based risk-directed therapy, there were no significant differences in event-free survival or overall survival between patients with and without Ph-like ALL. However, a high proportion (15%) of the patients with Ph-like ALL underwent a transplant because of their high MRD levels (&#x02265;1%) at the end of remission induction, whereas only 4% of the other patients with B-ALL underwent a transplant. Incorporating TKIs into the conventional chemotherapy for patients with targetable lesions could help reduce the intensity of the chemotherapy.</p>
<p>The identification of targetable lesions and the use of TKIs have proved effective in the treatment of Ph-positive ALL in children and adults (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>), and several case reports have described the effectiveness of imatinib/dasatinib in the treatment of refractory Ph-like ALL with <italic>ABL</italic>-class fusions (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). In COG studies of NCI high-risk B-ALL, dasatinib has been used to treat patients with <italic>ABL</italic>-class fusions (AALL1131, NCT02883049), and the JAK inhibitor ruxolitinib is administered to those with <italic>CRLF2</italic> rearrangements and/or other JAK&#x02013;STAT pathway alterations (AALL1521, NCT02723994) (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Dasatinib was used to treat Ph-positive ALL in our Total XVI protocol and was well-tolerated by patients (<xref ref-type="bibr" rid="B18">18</xref>). In the Total XVII study, dasatinib will be given to patients with <italic>ABL</italic>-class chimeric fusions (i.e., those involving <italic>ABL1, ABL2, CSF1R, PDGFRA</italic>, or <italic>PDGFRB</italic>) that are identified by RNA-Seq. Because of our previous experience with dasatinib and its safety profile (<xref ref-type="bibr" rid="B18">18</xref>), administration of this drug will start on day 15 of remission induction, regardless of the patient&#x02019;s MRD level (Figure <xref ref-type="fig" rid="F1">1</xref>).</p>
<p>Clinical experience of administering ruxolitinib in combination with conventional chemotherapy in children is limited, as is data on its safety profile, and a comprehensive identification of the genetic alterations associated with activation of the JAK&#x02013;STAT pathway will take 28&#x02013;42&#x02009;days. Thus, ruxolitinib will be administered after remission-induction therapy (i.e., 6&#x02009;weeks after diagnosis) to patients with a rearrangement, mutation, or genomic deletion (e.g., of <italic>EPOR, IL7R, JAK1, JAK2, JAK3</italic>, or <italic>SH2B3</italic>) that results in the activation of JAK&#x02013;STAT signaling and who also have MRD of 5% or more on day 15 of induction or 1% or more at the end of induction. Ruxolitinib will be administered with discontinuous dosing (2&#x02009;weeks on and 2&#x02009;weeks off), and a dose-finding phase is included in the study. In patients with MRD (&#x02265;0.01%) at the end of induction, subsequent MRD will be monitored closely, and immunotherapy (e.g., with chimeric antigen receptor T cells) or a hematopoietic stem cell transplant will be considered for those with persistently MRD-positive disease.</p>
</sec>
<sec id="S5">
<title>Treatment of T-ALL with Targetable Lesions and Early T-Cell Precursor ALL</title>
<p>The Total XVII protocol enrolls patients with T-ALL, and targetable genetic alterations and activated signaling pathways also represent important opportunities for precision-medicine approaches to treating T-ALL. <italic>ABL</italic>-class fusions, with <italic>NUP214, SLC9A3R1, ETV6</italic>, or <italic>MBNL1</italic> as partner genes, are present in patients with T-ALL (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>), and dasatinib will be given to those patients. Mutations that lead to JAK&#x02013;STAT signaling alterations (e.g., those in <italic>JAK3, IL7R</italic>, or <italic>PTPN2</italic>) have been seen in approximately 25% of patients with T-ALL and are prevalent in the groups with <italic>LX1</italic>/<italic>TLX3</italic> or <italic>HOXA</italic> mutations (<xref ref-type="bibr" rid="B20">20</xref>). Early T-cell precursor ALL (ETP-ALL) accounts for 10&#x02013;15% of T-ALL cases. ETP-ALL is characterized by a distinct immunophenotype, with expression of myeloid/stem-cell markers, a high frequency of JAK&#x02013;STAT-activating mutations (<xref ref-type="bibr" rid="B20">20</xref>), biochemical evidence of activated JAK&#x02013;STAT signaling (<xref ref-type="bibr" rid="B21">21</xref>), and exquisite sensitivity to the JAK inhibitor ruxolitinib in preclinical models (<xref ref-type="bibr" rid="B22">22</xref>). Thus, ruxolitinib will be given to patients with the ETP immunophenotype, as well as to other patients with T-ALL who exhibit high MRD levels (&#x02265;5% on day 15 or &#x02265;1% at the end of remission induction) and have JAK&#x02013;STAT alterations. Hematopoietic stem cell transplant will be considered for patients with persistently MRD-positive disease.</p>
</sec>
<sec id="S6">
<title>Conclusion</title>
<p>Our next-generation sequencing approach identifies therapeutic targets to facilitate personalized precision medicine while providing the flexibility to interrogate emerging prognostic and predictive markers in real time. This approach could lead to improved cure rates and reduced toxicities, especially in higher risk patients.</p>
</sec>
<sec id="S7" sec-type="author-contributor">
<title>Author Contributions</title>
<p>Conception and design: HI. Manuscript writing and final approval: all authors.</p>
</sec>
<sec id="S8">
<title>Conflict of Interest Statement</title>
<p>HI obtained drug support from Bristol-Myers Squibb and Incyte Corporation. All other 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. The reviewer YP and handling Editor declared their shared affiliation.</p>
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<ack>
<p>We thank Keith A. Laycock, PhD, ELS (St. Jude Children&#x02019;s Research Hospital), for editorial assistance.</p>
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<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was supported by grant no. CA21765 and R35 CA197695 from the National Institutes of Health and by ALSAC.</p></fn>
</fn-group>
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