Integrated molecular profiling of juvenile myelomonocytic leukemia.

Juvenile myelomonocytic leukemia (JMML), a rare and aggressive myelodysplastic/myeloproliferative neoplasm that occurs in infants and during early childhood, is characterized by excessive myelomonocytic cell proliferation. More than 80% of patients harbor germ line and somatic mutations in RAS pathway genes (eg, PTPN11, NF1, NRAS, KRAS, and CBL), and previous studies have identified several biomarkers associated with poor prognosis. However, the molecular pathogenesis of 10% to 20% of patients and the relationships among these biomarkers have not been well defined. To address these issues, we performed an integrated molecular analysis of samples from 150 JMML patients. RNA-sequencing identified ALK/ROS1 tyrosine kinase fusions (DCTN1-ALK, RANBP2-ALK, and TBL1XR1-ROS1) in 3 of 16 patients (18%) who lacked canonical RAS pathway mutations. Crizotinib, an ALK/ROS1 inhibitor, markedly suppressed ALK/ROS1 fusion-positive JMML cell proliferation in vitro. Therefore, we administered crizotinib to a chemotherapy-resistant patient with the RANBP2-ALK fusion who subsequently achieved complete molecular remission. In addition, crizotinib also suppressed proliferation of JMML cells with canonical RAS pathway mutations. Genome-wide methylation analysis identified a hypermethylation profile resembling that of acute myeloid leukemia (AML), which correlated significantly with genetic markers with poor outcomes such as PTPN11/NF1 gene mutations, 2 or more genetic mutations, an AML-type expression profile, and LIN28B expression. In summary, we identified recurrent activated ALK/ROS1 fusions in JMML patients without canonical RAS pathway gene mutations and revealed the relationships among biomarkers for JMML. Crizotinib is a promising candidate drug for the treatment of JMML, particularly in patients with ALK/ROS1 fusions.

[1]  Lixia Ding,et al.  PTPN11 mutation with additional somatic alteration indicates unfavorable outcome in juvenile myelomonocytic leukemia: a retrospective clinical study from a single center , 2019, European Journal of Pediatrics.

[2]  S. Miyano,et al.  Transcriptome analysis offers a comprehensive illustration of the genetic background of pediatric acute myeloid leukemia. , 2019, Blood advances.

[3]  C. Flotho Gene mutations do not operate in a vacuum: the increasing importance of epigenetics in juvenile myelomonocytic leukemia , 2019, Epigenetics.

[4]  O. Haas Primary Immunodeficiency and Cancer Predisposition Revisited: Embedding Two Closely Related Concepts Into an Integrative Conceptual Framework , 2019, Front. Immunol..

[5]  R. Wilson,et al.  CpG Island Hypermethylation Mediated by DNMT3A Is a Consequence of AML Progression , 2017, Cell.

[6]  J. Fletcher,et al.  ALK oncoproteins in atypical inflammatory myofibroblastic tumours: novel RRBP1‐ALK fusions in epithelioid inflammatory myofibroblastic sarcoma , 2017, The Journal of pathology.

[7]  S. Miyano,et al.  Clinical utility of next-generation sequencing for inherited bone marrow failure syndromes , 2017, Genetics in Medicine.

[8]  M. Takeuchi,et al.  Crizotinib treatment for refractory pediatric acute myeloid leukemia with RAN-binding protein 2-anaplastic lymphoma kinase fusion gene , 2016, Blood Cancer Journal.

[9]  F. Speleman,et al.  LIN28B overexpression defines a novel fetal-like subgroup of juvenile myelomonocytic leukemia. , 2016, Blood.

[10]  S. Miyano,et al.  Aberrant DNA Methylation Is Associated with a Poor Outcome in Juvenile Myelomonocytic Leukemia , 2015, PloS one.

[11]  A. Baruchel,et al.  Juvenile myelomonocytic leukemia displays mutations in components of the RAS pathway and the PRC2 network , 2015, Nature Genetics.

[12]  Andrew P. Feinberg,et al.  An LSC epigenetic signature is largely mutation independent and implicates the HOXA cluster in AML pathogenesis , 2015, Nature Communications.

[13]  T. Golub,et al.  The Genomic Landscape of Juvenile Myelomonocytic Leukemia , 2015, Nature Genetics.

[14]  John R. Haliburton,et al.  Subclonal mutations in SETBP1 confer a poor prognosis in juvenile myelomonocytic leukemia. , 2015, Blood.

[15]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[16]  Nicolas Stransky,et al.  The landscape of kinase fusions in cancer , 2014, Nature Communications.

[17]  Paul Theodor Pyl,et al.  HTSeq—a Python framework to work with high-throughput sequencing data , 2014, bioRxiv.

[18]  L. Cerroni,et al.  Clinical and Pathologic Findings of Spitz Nevi and Atypical Spitz Tumors With ALK Fusions , 2014, The American journal of surgical pathology.

[19]  David T. W. Jones,et al.  Decoding the regulatory landscape of medulloblastoma using DNA methylation sequencing , 2014, Nature.

[20]  S. Miyano,et al.  Exome sequencing identifies secondary mutations of SETBP1 and JAK3 in juvenile myelomonocytic leukemia , 2013, Nature Genetics.

[21]  H. Aburatani,et al.  Integrated molecular analysis of clear-cell renal cell carcinoma , 2013, Nature Genetics.

[22]  S. Ou,et al.  Identification of ROS1 rearrangement in gastric adenocarcinoma , 2013, Cancer.

[23]  J. Maris,et al.  Safety and activity of crizotinib for paediatric patients with refractory solid tumours or anaplastic large-cell lymphoma: a Children's Oncology Group phase 1 consortium study. , 2013, The Lancet. Oncology.

[24]  Y. Kanda,et al.  Investigation of the freely available easy-to-use software ‘EZR' for medical statistics , 2012, Bone Marrow Transplantation.

[25]  Christopher A. Miller,et al.  VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. , 2012, Genome research.

[26]  M. Proytcheva Juvenile myelomonocytic leukemia. , 2011, Seminars in diagnostic pathology.

[27]  S. Sugano,et al.  Frequent pathway mutations of splicing machinery in myelodysplasia , 2011, Nature.

[28]  S. Salzberg,et al.  TopHat-Fusion: an algorithm for discovery of novel fusion transcripts , 2011, Genome Biology.

[29]  C. Plass,et al.  Aberrant DNA methylation characterizes juvenile myelomonocytic leukemia with poor outcome. , 2011, Blood.

[30]  C. Messa,et al.  Crizotinib in anaplastic large-cell lymphoma. , 2011, The New England journal of medicine.

[31]  Marc Ladanyi,et al.  Crizotinib in ALK-rearranged inflammatory myofibroblastic tumor. , 2010, The New England journal of medicine.

[32]  S. Shurtleff,et al.  Clinical utility of microarray-based gene expression profiling in the diagnosis and subclassification of leukemia: report from the International Microarray Innovations in Leukemia Study Group. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[33]  Cole Trapnell,et al.  Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. , 2010, Nature biotechnology.

[34]  A. Borkhardt,et al.  ALK fusion genes in children with atypical myeloproliferative leukemia , 2010, Leukemia.

[35]  Franco Locatelli,et al.  Gene expression-based classification as an independent predictor of clinical outcome in juvenile myelomonocytic leukemia. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[36]  Fabien Campagne,et al.  DNA methylation signatures identify biologically distinct subtypes in acute myeloid leukemia. , 2010, Cancer cell.

[37]  H. Aburatani,et al.  Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer , 2007, Nature.

[38]  M. Loh,et al.  Mutation analysis of Son of Sevenless in juvenile myelomonocytic leukemia , 2007, Leukemia.

[39]  A. Wellstein,et al.  Recruitment of insulin receptor substrate-1 and activation of NF-κB essential for midkine growth signaling through anaplastic lymphoma kinase , 2007, Oncogene.

[40]  Wendy Schackwitz,et al.  Gain-of-function SOS1 mutations cause a distinctive form of Noonan syndrome , 2006, Nature Genetics.

[41]  Alok J. Saldanha,et al.  Java Treeview - extensible visualization of microarray data , 2004, Bioinform..

[42]  S Miyano,et al.  Open source clustering software. , 2004, Bioinformatics.

[43]  Ming Zhou,et al.  Fusion of ALK to the Ran‐binding protein 2 (RANBP2) gene in inflammatory myofibroblastic tumor , 2003, Genes, chromosomes & cancer.

[44]  Mary L Marazita,et al.  A mutation in the SOS1 gene causes hereditary gingival fibromatosis type 1. , 2002, American journal of human genetics.

[45]  A. Tsao,et al.  ROS1 Rearrangements Define a Unique Molecular Class of Lung Cancers , 2012 .

[46]  L. Tanoue,et al.  Anaplastic Lymphoma Kinase Inhibition in Non–Small-Cell Lung Cancer , 2012 .

[47]  D. Pinkel Differentiating juvenile myelomonocytic leukemia from infectious disease. , 1998, Blood.