Genomic subtyping and therapeutic targeting of acute erythroleukemia
Acute erythroid leukemia (AEL) is a high-risk leukemia of poorly understood genetic basis, with controversy regarding diagnosis in the spectrum of myelodysplasia and myeloid leukemia. We compared genomic features of 159 childhood and adult AEL cases with non-AEL myeloid disorders and defined five ag...
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| Vydáno v: | Nature genetics Ročník 51; číslo 4; s. 694 - 704 |
|---|---|
| Hlavní autoři: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
Nature Publishing Group US
01.04.2019
Nature Publishing Group |
| Témata: | |
| ISSN: | 1061-4036, 1546-1718, 1546-1718 |
| On-line přístup: | Získat plný text |
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| Abstract | Acute erythroid leukemia (AEL) is a high-risk leukemia of poorly understood genetic basis, with controversy regarding diagnosis in the spectrum of myelodysplasia and myeloid leukemia. We compared genomic features of 159 childhood and adult AEL cases with non-AEL myeloid disorders and defined five age-related subgroups with distinct transcriptional profiles: adult,
TP53
mutated;
NPM1
mutated;
KMT2A
mutated/rearranged; adult,
DDX41
mutated; and pediatric,
NUP98
rearranged. Genomic features influenced outcome, with
NPM1
mutations and
HOXB9
overexpression being associated with a favorable prognosis and
TP53
,
FLT3
or
RB1
alterations associated with poor survival. Targetable signaling mutations were present in 45% of cases and included recurrent mutations of
ALK
and
NTRK1
, the latter of which drives erythroid leukemogenesis sensitive to TRK inhibition. This genomic landscape of AEL provides the framework for accurate diagnosis and risk stratification of this disease, and the rationale for testing targeted therapies in this high-risk leukemia.
Analysis of genomic and clinical features of acute erythroid leukemia in comparison to other myeloid disorders supports its distinct classification, defines subgroups and suggests therapeutic vulnerabilities. |
|---|---|
| AbstractList | Acute erythroid leukemia (AEL) is a high risk leukemia of poorly
understood genetic basis, with controversy regarding diagnosis in the spectrum
of myelodysplasia and myeloid leukemia. We compared genomic features of 159
childhood and adult AEL cases to non-AEL myeloid disorders, and defined 5
age-related subgroups with distinct transcriptional profiles: adult,
TP53-mutated; NPM1-mutated;
KMT2A-mutated/rearranged; adult,
DDX41-mutated; and pediatric,
NUP98-rearranged. Genomic features influenced outcome, with
NPM1 mutations and HOXB9 over-expression
associated with favorable prognosis, and TP53, FLT3 or
RB1 alterations associated with poor survival. Targetable
signaling mutations were present in 45% of cases, and included recurrent
mutations of ALK and NTRK1, the latter of
which drive erythroid leukemogenesis sensitive to TRK inhibition. This genomic
landscape of AEL provides the framework for accurate diagnosis and risk
stratification of this disease, and the rationale for testing targeted therapies
in this high-risk leukemia. Analysis of genomic and clinical features of acute erythroid leukemia in
comparison to other myeloid disorders argues for its distinct classification,
defines subgroups and suggests therapeutic vulnerabilities. Acute erythroid leukemia (AEL) is a high-risk leukemia of poorly understood genetic basis, with controversy regarding diagnosis in the spectrum of myelodysplasia and myeloid leukemia. We compared genomic features of 159 childhood and adult AEL cases with non-AEL myeloid disorders and defined five age-related subgroups with distinct transcriptional profiles: adult, TP53 mutated; NPM1 mutated; KMT2A mutated/rearranged; adult, DDX41 mutated; and pediatric, NUP98 rearranged. Genomic features influenced outcome, with NPM1 mutations and HOXB9 overexpression being associated with a favorable prognosis and TP53, FLT3 or RB1 alterations associated with poor survival. Targetable signaling mutations were present in 45% of cases and included recurrent mutations of ALK and NTRK1, the latter of which drives erythroid leukemogenesis sensitive to TRK inhibition. This genomic landscape of AEL provides the framework for accurate diagnosis and risk stratification of this disease, and the rationale for testing targeted therapies in this high-risk leukemia. Acute erythroid leukemia (AEL) is a high-risk leukemia of poorly understood genetic basis, with controversy regarding diagnosis in the spectrum of myelodysplasia and myeloid leukemia. We compared genomic features of 159 childhood and adult AEL cases with non-AEL myeloid disorders and defined five age-related subgroups with distinct transcriptional profiles: adult, TP53 mutated; NPM1 mutated; KMT2A mutated/rearranged; adult, DDX41 mutated; and pediatric, NUP98 rearranged. Genomic features influenced outcome, with NPM1 mutations and HOXB9 overexpression being associated with a favorable prognosis and TP53, FLT3 or RB1 alterations associated with poor survival. Targetable signaling mutations were present in 45% of cases and included recurrent mutations of ALK and NTRK1, the latter of which drives erythroid leukemogenesis sensitive to TRK inhibition. This genomic landscape of AEL provides the framework for accurate diagnosis and risk stratification of this disease, and the rationale for testing targeted therapies in this high-risk leukemia. Analysis of genomic and clinical features of acute erythroid leukemia in comparison to other myeloid disorders supports its distinct classification, defines subgroups and suggests therapeutic vulnerabilities. Acute erythroid leukemia (AEL) is a high-risk leukemia of poorly understood genetic basis, with controversy regarding diagnosis in the spectrum of myelodysplasia and myeloid leukemia. We compared genomic features of 159 childhood and adult AEL cases with non-AEL myeloid disorders and defined five age-related subgroups with distinct transcriptional profiles: adult, TP53 mutated; NPM1 mutated; KMT2A mutated/rearranged; adult, DDX41 mutated; and pediatric, NUP98 rearranged. Genomic features influenced outcome, with NPM1 mutations and HOXB9 overexpression being associated with a favorable prognosis and TP53, FLT3 or RB1 alterations associated with poor survival. Targetable signaling mutations were present in 45% of cases and included recurrent mutations of ALK and NTRK1, the latter of which drives erythroid leukemogenesis sensitive to TRK inhibition. This genomic landscape of AEL provides the framework for accurate diagnosis and risk stratification of this disease, and the rationale for testing targeted therapies in this high-risk leukemia.Acute erythroid leukemia (AEL) is a high-risk leukemia of poorly understood genetic basis, with controversy regarding diagnosis in the spectrum of myelodysplasia and myeloid leukemia. We compared genomic features of 159 childhood and adult AEL cases with non-AEL myeloid disorders and defined five age-related subgroups with distinct transcriptional profiles: adult, TP53 mutated; NPM1 mutated; KMT2A mutated/rearranged; adult, DDX41 mutated; and pediatric, NUP98 rearranged. Genomic features influenced outcome, with NPM1 mutations and HOXB9 overexpression being associated with a favorable prognosis and TP53, FLT3 or RB1 alterations associated with poor survival. Targetable signaling mutations were present in 45% of cases and included recurrent mutations of ALK and NTRK1, the latter of which drives erythroid leukemogenesis sensitive to TRK inhibition. This genomic landscape of AEL provides the framework for accurate diagnosis and risk stratification of this disease, and the rationale for testing targeted therapies in this high-risk leukemia. Acute erythroid leukemia (AEL) is a high-risk leukemia of poorly understood genetic basis, with controversy regarding diagnosis in the spectrum of myelodysplasia and myeloid leukemia. We compared genomic features of 159 childhood and adult AEL cases with non-AEL myeloid disorders and defined five age-related subgroups with distinct transcriptional profiles: adult, TP53 mutated; NPM1 mutated; KMT2A mutated/rearranged; adult, DDX41 mutated; and pediatric, NUP98 rearranged. Genomic features influenced outcome, with NPM1 mutations and HOXB9 overexpression being associated with a favorable prognosis and TP53 , FLT3 or RB1 alterations associated with poor survival. Targetable signaling mutations were present in 45% of cases and included recurrent mutations of ALK and NTRK1 , the latter of which drives erythroid leukemogenesis sensitive to TRK inhibition. This genomic landscape of AEL provides the framework for accurate diagnosis and risk stratification of this disease, and the rationale for testing targeted therapies in this high-risk leukemia. Analysis of genomic and clinical features of acute erythroid leukemia in comparison to other myeloid disorders supports its distinct classification, defines subgroups and suggests therapeutic vulnerabilities. |
| Audience | Academic |
| Author | Alexander, Thomas B. Kham, Shirley K. Y. Brown, Anna L. Song, Guangchun Locatelli, Franco Wei, Andrew H. Cheng, Cheng Morris, Sarah M. Hahn, Christopher N. Ma, Xiaotu Ries, Rhonda E. Ebert, Benjamin L. Carmichael, Catherine L. Scott, Hamish S. Kiyokawa, Nobutaka Lewis, Ian D. D’Andrea, Richard J. Qu, Chunxu Enemark, Eric J. Meggendorfer, Manja Kile, Benjamin T. Pei, Deqing Haferlach, Torsten Iacobucci, Ilaria Shi, Lei Tomizawa, Daisuke Janke, Laura J. Loh, Mignon L. Mullighan, Charles G. Basso, Giuseppe To, L Bik Pounds, Stanley B. Lindsley, R. Coleman Rusch, Michael Payne-Turner, Debbie Meshinchi, Soheil Wen, Ji Stieglitz, Elliot Marlton, Paula Zhou, Xin Masih, Katherine E. Choi, John K. Li, Yongjin Yeoh, Allen E. J. Hunger, Stephen P. Valentine, Marcus Sioson, Edgar Valentine, Virginia |
| AuthorAffiliation | 15 Department of Structural Biology, St. Jude Children’s Research Hospital, Memphis, TN 25 Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, Australia 13 Department of Gynecology/Obstetrics and Pediatrics, Sapienza University of Rome, Rome, Italy 5 Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA 1 Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN 19 Department of Pediatrics, Benioff Children’s Hospital, and the Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 7 Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN 10 Cytogenetics Shared Resource, St. Jude Children’s Research Hospital, Memphis, TN 24 Faculty of Health Sciences, University of Adelaide, Adelaide, Australia 18 Fred Hutchinson Cancer Research Center, Seattle, WA 4 The Australian Centre for Blood Diseases, Monash University, Melbourne, Austral |
| AuthorAffiliation_xml | – name: 15 Department of Structural Biology, St. Jude Children’s Research Hospital, Memphis, TN – name: 4 The Australian Centre for Blood Diseases, Monash University, Melbourne, Australia – name: 19 Department of Pediatrics, Benioff Children’s Hospital, and the Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA – name: 18 Fred Hutchinson Cancer Research Center, Seattle, WA – name: 3 Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN – name: 7 Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN – name: 16 Centre for Translational Research in Acute Leukaemia, Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore – name: 29 Princess Alexandra Hospital and University of Queensland School of Clinical Medicine, Brisbane, Australia – name: 1 Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN – name: 13 Department of Gynecology/Obstetrics and Pediatrics, Sapienza University of Rome, Rome, Italy – name: 11 Clinic of Paediatric Haematology and Oncology, Department for Children’s and Women’s Health, University of Padua, Padua, Italy – name: 8 Division of Leukemia and Lymphoma, Children’s Cancer Center, National Center for Child Health and Development, Tokyo, Japan – name: 9 Department of Pediatric Hematology and Oncology Research, National Research Institute for Child Health and Development, Tokyo, Japan – name: 6 Department of Oncology, St. Jude Children’s Research Hospital, Memphis, TN – name: 10 Cytogenetics Shared Resource, St. Jude Children’s Research Hospital, Memphis, TN – name: 17 Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore – name: 24 Faculty of Health Sciences, University of Adelaide, Adelaide, Australia – name: 21 Department of Clinical Haematology, The Alfred Hospital, Melbourne, Australia – name: 23 Departments of Haematology, SA Pathology and Royal Adelaide Hospital, Adelaide, Australia – name: 28 Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia – name: 14 Department of Pediatric Hematology and Oncology, IRCCS Ospedale Pediatrico Bambino Gesù, Rome, Italy – name: 20 Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA – name: 22 Department of Pathology, The Alfred Hospital, Melbourne, Australia – name: 27 Department of Anatomy and Developmental Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia – name: 26 The Walter & Eliza Hall Institute of Medical Research, Parkville, Australia – name: 5 Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA – name: 12 Italian Institute for Genomic Medicine, Turin, Italy – name: 2 MLL Munich Leukemia Laboratory, Munich, Germany – name: 25 Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, Australia |
| Author_xml | – sequence: 1 givenname: Ilaria surname: Iacobucci fullname: Iacobucci, Ilaria organization: Department of Pathology, St. Jude Children’s Research Hospital – sequence: 2 givenname: Ji surname: Wen fullname: Wen, Ji organization: Department of Pathology, St. Jude Children’s Research Hospital – sequence: 3 givenname: Manja surname: Meggendorfer fullname: Meggendorfer, Manja organization: MLL Munich Leukemia Laboratory – sequence: 4 givenname: John K. surname: Choi fullname: Choi, John K. organization: Department of Pathology, St. Jude Children’s Research Hospital – sequence: 5 givenname: Lei surname: Shi fullname: Shi, Lei organization: Department of Biostatistics, St. Jude Children’s Research Hospital – sequence: 6 givenname: Stanley B. orcidid: 0000-0002-9167-2114 surname: Pounds fullname: Pounds, Stanley B. organization: Department of Biostatistics, St. Jude Children’s Research Hospital – sequence: 7 givenname: Catherine L. surname: Carmichael fullname: Carmichael, Catherine L. organization: The Australian Centre for Blood Diseases, Monash University – sequence: 8 givenname: Katherine E. orcidid: 0000-0002-0809-668X surname: Masih fullname: Masih, Katherine E. organization: Department of Pathology, St. Jude Children’s Research Hospital – sequence: 9 givenname: Sarah M. surname: Morris fullname: Morris, Sarah M. organization: Department of Pathology, St. Jude Children’s Research Hospital – sequence: 10 givenname: R. Coleman surname: Lindsley fullname: Lindsley, R. 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Y. surname: Kham fullname: Kham, Shirley K. Y. organization: Centre for Translational Research in Acute Leukaemia, Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore – sequence: 25 givenname: Allen E. J. orcidid: 0000-0002-6454-976X surname: Yeoh fullname: Yeoh, Allen E. J. organization: Centre for Translational Research in Acute Leukaemia, Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Cancer Science Institute of Singapore, National University of Singapore – sequence: 26 givenname: Xiaotu surname: Ma fullname: Ma, Xiaotu organization: Department of Computational Biology, St. Jude Children’s Research Hospital – sequence: 27 givenname: Xin surname: Zhou fullname: Zhou, Xin organization: Department of Computational Biology, St. Jude Children’s Research Hospital – sequence: 28 givenname: Edgar surname: Sioson fullname: Sioson, Edgar organization: Department of Computational Biology, St. Jude Children’s Research Hospital – sequence: 29 givenname: Michael orcidid: 0000-0002-5363-1848 surname: Rusch fullname: Rusch, Michael organization: Department of Computational Biology, St. Jude Children’s Research Hospital – sequence: 30 givenname: Rhonda E. surname: Ries fullname: Ries, Rhonda E. organization: Fred Hutchinson Cancer Research Center – sequence: 31 givenname: Elliot orcidid: 0000-0001-7032-4623 surname: Stieglitz fullname: Stieglitz, Elliot organization: Department of Pediatrics, Benioff Children’s Hospital, and the Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco – sequence: 32 givenname: Stephen P. surname: Hunger fullname: Hunger, Stephen P. organization: Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania – sequence: 33 givenname: Andrew H. surname: Wei fullname: Wei, Andrew H. organization: The Australian Centre for Blood Diseases, Monash University, Department of Clinical Haematology, The Alfred Hospital, Department of Pathology, The Alfred Hospital – sequence: 34 givenname: L Bik surname: To fullname: To, L Bik organization: Departments of Haematology, SA Pathology and Royal Adelaide Hospital, Faculty of Health Sciences, University of Adelaide – sequence: 35 givenname: Ian D. surname: Lewis fullname: Lewis, Ian D. organization: Faculty of Health Sciences, University of Adelaide – sequence: 36 givenname: Richard J. surname: D’Andrea fullname: D’Andrea, Richard J. organization: Centre for Cancer Biology, University of South Australia and SA Pathology – sequence: 37 givenname: Benjamin T. surname: Kile fullname: Kile, Benjamin T. organization: The Walter & Eliza Hall Institute of Medical Research, Department of Anatomy and Developmental Biology, Monash Biomedicine Discovery Institute, Monash University – sequence: 38 givenname: Anna L. surname: Brown fullname: Brown, Anna L. organization: Centre for Cancer Biology, University of South Australia and SA Pathology, Department of Genetics and Molecular Pathology, SA Pathology – sequence: 39 givenname: Hamish S. orcidid: 0000-0002-5813-631X surname: Scott fullname: Scott, Hamish S. organization: Centre for Cancer Biology, University of South Australia and SA Pathology, Department of Genetics and Molecular Pathology, SA Pathology – sequence: 40 givenname: Christopher N. surname: Hahn fullname: Hahn, Christopher N. organization: Centre for Cancer Biology, University of South Australia and SA Pathology, Department of Genetics and Molecular Pathology, SA Pathology – sequence: 41 givenname: Paula surname: Marlton fullname: Marlton, Paula organization: Princess Alexandra Hospital and University of Queensland School of Clinical Medicine – sequence: 42 givenname: Deqing surname: Pei fullname: Pei, Deqing organization: Department of Biostatistics, St. Jude Children’s Research Hospital – sequence: 43 givenname: Cheng surname: Cheng fullname: Cheng, Cheng organization: Department of Biostatistics, St. Jude Children’s Research Hospital – sequence: 44 givenname: Mignon L. surname: Loh fullname: Loh, Mignon L. organization: Department of Pediatrics, Benioff Children’s Hospital, and the Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco – sequence: 45 givenname: Benjamin L. surname: Ebert fullname: Ebert, Benjamin L. organization: Department of Medical Oncology, Dana-Farber Cancer Institute – sequence: 46 givenname: Soheil surname: Meshinchi fullname: Meshinchi, Soheil organization: Fred Hutchinson Cancer Research Center – sequence: 47 givenname: Torsten surname: Haferlach fullname: Haferlach, Torsten organization: MLL Munich Leukemia Laboratory – sequence: 48 givenname: Charles G. orcidid: 0000-0002-1871-1850 surname: Mullighan fullname: Mullighan, Charles G. email: charles.mullighan@stjude.org organization: Department of Pathology, St. Jude Children’s Research Hospital |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30926971$$D View this record in MEDLINE/PubMed |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 K.E.M., S.M.M., T.B.A., D.P.T., M.V., V.V. performed experiments. G.S. analyzed copy number data. E.J.E. performed structure modeling. M.M, C.C, D.T., N.K., G.B., F.L., S.K.K.Y., A.Y.E.J., R.E.R., E.S., A.W., L.B.T., I.D.L., R.D.A., B.T.K., A.L.B., H.S., C.H., P.M., S.M., T.H. provided patient samples and clinical data. R.C.L., B.L.E. shared data for the MDS comparison cohort. Y.L., C.Q., X.M., X.Z., E.S., S.P.H, M.R. performed genomic sequencing, analysis, and support. L.S., S.P., D.P., C.C. performed statistical analyses. C.G.M. designed and oversaw the study, analyzed genomic data and wrote the manuscript. All the authors read and approved the final version of the manuscript. AUTHOR CONTRIBUTIONS I.I. led the collaboration, coordination and processing of patient samples, analyzed genomic data, performed experiments and wrote the manuscript. J.W. analyzed sequencing data. J.K.C. performed central review of immunophenotypic data. L.J.J. performed histopathology analyses |
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| SubjectTerms | 631/67/1990/283 631/67/1990/283/1897 Acute leukemia Adolescent Adult Adults Age Agriculture Animal Genetics and Genomics Bioinformatics Biomedical and Life Sciences Biomedicine Bone marrow Cancer genetics Cancer Research Cancer therapies Care and treatment Cell cycle Child Child, Preschool Children Classification Deoxyribonucleic acid Diagnosis DNA DNA methylation Epigenetics Erythroleukemia Female fms-Like Tyrosine Kinase 3 - genetics Gene Function Genes Genetic aspects Genomes Genomics Genomics - methods Homeodomain Proteins - genetics Human Genetics Humans Infant Infant, Newborn Leukemia Leukemia, Erythroblastic, Acute - genetics Leukemogenesis Male Medical prognosis Medical schools Mutation Mutation - genetics Myelodysplastic syndrome Myeloid leukemia Myeloid-Lymphoid Leukemia Protein - genetics Nuclear Proteins - genetics Nucleophosmin p53 Protein Pediatrics Prognosis Risk Subgroups Therapeutic targets Transcription Tumor proteins Tumor Suppressor Protein p53 - genetics Tumors Young Adult |
| Title | Genomic subtyping and therapeutic targeting of acute erythroleukemia |
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