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Journal ArticleDOI

The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia

TL;DR: The 2016 edition of the World Health Organization classification of tumors of the hematopoietic and lymphoid tissues represents a revision of the prior classification rather than an entirely new classification and attempts to incorporate new clinical, prognostic, morphologic, immunophenotypic, and genetic data that have emerged since the last edition.
About: This article is published in Blood.The article was published on 2016-05-19 and is currently open access. It has received 7147 citations till now. The article focuses on the topics: Therapy-Related Acute Myeloid Leukemia & Secondary Acute Myeloid Leukemia.
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Journal ArticleDOI
26 Jan 2017-Blood
TL;DR: An international panel to provide updated evidence- and expert opinion-based recommendations for diagnosis and management of acute myeloid leukemia in adults includes a revised version of the ELN genetic categories, a proposal for a response category based on MRD status, and criteria for progressive disease.

4,066 citations


Cites background from "The 2016 revision to the World Heal..."

  • ...Eight balanced translocations and inversions, and their variants, are included in the WHO category “AML with recurrent genetic abnormalities”.(3,4) Nine balanced rearrangements and multiple unbalanced abnormalities are sufficient to establish the WHO diagnosis of “AML with...

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  • ...2 Immunophenotyping Table 3 provides a list of markers helpful for establishing the diagnosis of AML,(48) as well as specific lineage markers useful for defining mixed-phenotype acute leukemia.(3,4)...

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  • ...This article provides updated recommendations that parallel the current update to the World Health Organization classification of myeloid neoplasms and acute leukemia.(3,4) For diagnosis and management of acute promyelocytic leukemia readers are referred to the respective recommendations....

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Journal ArticleDOI
TL;DR: This manuscript focuses on the NCCN Guidelines Panel recommendations for the workup, primary treatment, risk reduction strategies, and surveillance specific to DCIS.
Abstract: Ductal carcinoma in situ (DCIS) of the breast represents a heterogeneous group of neoplastic lesions in the breast ducts. The goal for management of DCIS is to prevent the development of invasive breast cancer. This manuscript focuses on the NCCN Guidelines Panel recommendations for the workup, primary treatment, risk reduction strategies, and surveillance specific to DCIS.

1,545 citations

Journal ArticleDOI
TL;DR: The identification of recurrent genetic mutations, such as FLT3-ITD, NMP1 and CEBPA, has helped refine individual prognosis and guide management and here, the major recent advances in the treatment of AML are reviewed.
Abstract: Acute myeloid leukemia (AML) is the most common acute leukemia in adults, with an incidence of over 20 000 cases per year in the United States alone. Large chromosomal translocations as well as mutations in the genes involved in hematopoietic proliferation and differentiation result in the accumulation of poorly differentiated myeloid cells. AML is a highly heterogeneous disease; although cases can be stratified into favorable, intermediate and adverse-risk groups based on their cytogenetic profile, prognosis within these categories varies widely. The identification of recurrent genetic mutations, such as FLT3-ITD, NMP1 and CEBPA, has helped refine individual prognosis and guide management. Despite advances in supportive care, the backbone of therapy remains a combination of cytarabine- and anthracycline-based regimens with allogeneic stem cell transplantation for eligible candidates. Elderly patients are often unable to tolerate such regimens, and carry a particularly poor prognosis. Here, we review the major recent advances in the treatment of AML.

856 citations

Journal ArticleDOI
Jeffrey W. Tyner1, Cristina E. Tognon1, Cristina E. Tognon2, Daniel Bottomly1, Beth Wilmot1, Stephen E. Kurtz1, Samantha L. Savage1, Nicola Long1, Anna Reister Schultz1, Elie Traer1, Melissa L. Abel1, Anupriya Agarwal1, Aurora Blucher1, Uma Borate1, Jade Bryant1, Russell T. Burke1, Amy S. Carlos1, Richie Carpenter1, Joseph Carroll1, Bill H. Chang1, Cody Coblentz1, Amanda d’Almeida1, Rachel J. Cook1, Alexey V. Danilov1, Kim Hien T. Dao1, Michie Degnin1, Deirdre Devine1, James Dibb1, David K. Edwards1, Christopher A. Eide2, Christopher A. Eide1, Isabel English1, Jason M. Glover1, Rachel Henson1, Hibery Ho1, Abdusebur Jemal1, Kara Johnson1, Ryan C. Johnson1, Brian Junio1, Andy Kaempf1, Jessica Leonard1, Chenwei Lin1, Selina Qiuying Liu1, Pierrette Lo1, Marc M. Loriaux1, Samuel B. Luty1, Tara A. Macey1, Jason D. MacManiman1, Jacqueline Martinez1, Motomi Mori1, Dylan Nelson3, Ceilidh Nichols1, Jill Peters1, Justin Ramsdill1, Angela Rofelty1, Robert Schuff1, Robert P. Searles1, Erik Segerdell1, Rebecca Smith1, Stephen E. Spurgeon1, Tyler Sweeney1, Aashis Thapa1, Corinne Visser1, Jake Wagner1, Kevin Watanabe-Smith1, Kristen Werth1, Joelle Wolf1, Libbey White1, Amy Yates1, Haijiao Zhang1, Christopher R. Cogle4, Robert H. Collins5, Denise C. Connolly6, Michael W. Deininger7, Leylah Drusbosky4, Christopher S. Hourigan8, Craig T. Jordan9, Patricia Kropf6, Tara L. Lin10, Micaela E. Martinez11, Bruno C. Medeiros12, Rachel R. Pallapati11, Daniel A. Pollyea9, Ronan T. Swords11, Justin M. Watts11, Scott Weir10, David L. Wiest6, Ryan M. Winters6, Shannon K. McWeeney1, Brian J. Druker2, Brian J. Druker1 
17 Oct 2018-Nature
TL;DR: Analyses of samples from patients with acute myeloid leukaemia reveal that drug response is associated with mutational status and gene expression; the generated dataset provides a basis for future clinical and functional studies of this disease.
Abstract: The implementation of targeted therapies for acute myeloid leukaemia (AML) has been challenging because of the complex mutational patterns within and across patients as well as a dearth of pharmacologic agents for most mutational events. Here we report initial findings from the Beat AML programme on a cohort of 672 tumour specimens collected from 562 patients. We assessed these specimens using whole-exome sequencing, RNA sequencing and analyses of ex vivo drug sensitivity. Our data reveal mutational events that have not previously been detected in AML. We show that the response to drugs is associated with mutational status, including instances of drug sensitivity that are specific to combinatorial mutational events. Integration with RNA sequencing also revealed gene expression signatures, which predict a role for specific gene networks in the drug response. Collectively, we have generated a dataset—accessible through the Beat AML data viewer (Vizome)—that can be leveraged to address clinical, genomic, transcriptomic and functional analyses of the biology of AML. Analyses of samples from patients with acute myeloid leukaemia reveal that drug response is associated with mutational status and gene expression; the generated dataset provides a basis for future clinical and functional studies of this disease.

763 citations

Journal ArticleDOI
TL;DR: The backbone of therapy remains multi-agent chemotherapy with vincristine, corticosteroids and an anthracycline with allogeneic stem cell transplantation for eligible candidates and Elderly patients are often unable to tolerate such regimens and carry a particularly poor prognosis.
Abstract: Acute lymphoblastic leukemia (ALL) is the second most common acute leukemia in adults, with an incidence of over 6500 cases per year in the United States alone. The hallmark of ALL is chromosomal abnormalities and genetic alterations involved in differentiation and proliferation of lymphoid precursor cells. In adults, 75% of cases develop from precursors of the B-cell lineage, with the remainder of cases consisting of malignant T-cell precursors. Traditionally, risk stratification has been based on clinical factors such age, white blood cell count and response to chemotherapy; however, the identification of recurrent genetic alterations has helped refine individual prognosis and guide management. Despite advances in management, the backbone of therapy remains multi-agent chemotherapy with vincristine, corticosteroids and an anthracycline with allogeneic stem cell transplantation for eligible candidates. Elderly patients are often unable to tolerate such regimens and carry a particularly poor prognosis. Here, we review the major recent advances in the treatment of ALL.

733 citations

References
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Journal ArticleDOI
30 Jul 2009-Blood
TL;DR: The classification of myeloid neoplasms and acute leukemia is highlighted with the aim of familiarizing hematologists, clinical scientists, and hematopathologists not only with the major changes in the classification but also with the rationale for those changes.

4,274 citations

Journal ArticleDOI
Timothy J. Ley1, Christopher A. Miller1, Li Ding1, Benjamin J. Raphael2, Andrew J. Mungall3, Gordon Robertson3, Katherine A. Hoadley4, Timothy J. Triche5, Peter W. Laird5, Jack Baty1, Lucinda Fulton1, Robert S. Fulton1, Sharon Heath1, Joelle Kalicki-Veizer1, Cyriac Kandoth1, Jeffery M. Klco1, Daniel C. Koboldt1, Krishna L. Kanchi1, Shashikant Kulkarni1, Tamara Lamprecht1, David E. Larson1, G. Lin1, Charles Lu1, Michael D. McLellan1, Joshua F. McMichael1, Jacqueline E. Payton1, Heather Schmidt1, David H. Spencer1, Michael H. Tomasson1, John W. Wallis1, Lukas D. Wartman1, Mark A. Watson1, John S. Welch1, Michael C. Wendl1, Adrian Ally3, Miruna Balasundaram3, Inanc Birol3, Yaron S.N. Butterfield3, Readman Chiu3, Andy Chu3, Eric Chuah3, Hye Jung E. Chun3, Richard Corbett3, Noreen Dhalla3, Ranabir Guin3, An He3, Carrie Hirst3, Martin Hirst3, Robert A. Holt3, Steven J.M. Jones3, Aly Karsan3, Darlene Lee3, Haiyan I. Li3, Marco A. Marra3, Michael Mayo3, Richard A. Moore3, Karen Mungall3, Jeremy Parker3, Erin Pleasance3, Patrick Plettner3, Jacquie Schein3, Dominik Stoll3, Lucas Swanson3, Angela Tam3, Nina Thiessen3, Richard Varhol3, Natasja Wye3, Yongjun Zhao3, Stacey Gabriel6, Gad Getz6, Carrie Sougnez6, Lihua Zou6, Mark D.M. Leiserson2, Fabio Vandin2, Hsin-Ta Wu2, Frederick Applebaum7, Stephen B. Baylin8, Rehan Akbani9, Bradley M. Broom9, Ken Chen9, Thomas C. Motter9, Khanh Thi-Thuy Nguyen9, John N. Weinstein9, Nianziang Zhang9, Martin L. Ferguson, Christopher Adams10, Aaron D. Black10, Jay Bowen10, Julie M. Gastier-Foster10, Thomas Grossman10, Tara M. Lichtenberg10, Lisa Wise10, Tanja Davidsen11, John A. Demchok11, Kenna R. Mills Shaw11, Margi Sheth11, Heidi J. Sofia, Liming Yang11, James R. Downing, Greg Eley, Shelley Alonso12, Brenda Ayala12, Julien Baboud12, Mark Backus12, Sean P. Barletta12, Dominique L. Berton12, Anna L. Chu12, Stanley Girshik12, Mark A. Jensen12, Ari B. Kahn12, Prachi Kothiyal12, Matthew C. Nicholls12, Todd Pihl12, David Pot12, Rohini Raman12, Rashmi N. Sanbhadti12, Eric E. Snyder12, Deepak Srinivasan12, Jessica Walton12, Yunhu Wan12, Zhining Wang12, Jean Pierre J. Issa13, Michelle M. Le Beau14, Martin Carroll15, Hagop M. Kantarjian, Steven M. Kornblau, Moiz S. Bootwalla5, Phillip H. Lai5, Hui Shen5, David Van Den Berg5, Daniel J. Weisenberger5, Daniel C. Link1, Matthew J. Walter1, Bradley A. Ozenberger11, Elaine R. Mardis1, Peter Westervelt1, Timothy A. Graubert1, John F. DiPersio1, Richard K. Wilson1 
TL;DR: It is found that a complex interplay of genetic events contributes to AML pathogenesis in individual patients and the databases from this study are widely available to serve as a foundation for further investigations of AMl pathogenesis, classification, and risk stratification.
Abstract: BACKGROUND—Many mutations that contribute to the pathogenesis of acute myeloid leukemia (AML) are undefined The relationships between patterns of mutations and epigenetic phenotypes are not yet clear METHODS—We analyzed the genomes of 200 clinically annotated adult cases of de novo AML, using either whole-genome sequencing (50 cases) or whole-exome sequencing (150 cases), along with RNA and microRNA sequencing and DNA-methylation analysis RESULTS—AML genomes have fewer mutations than most other adult cancers, with an average of only 13 mutations found in genes Of these, an average of 5 are in genes that are recurrently mutated in AML A total of 23 genes were significantly mutated, and another 237 were mutated in two or more samples Nearly all samples had at least 1 nonsynonymous mutation in one of nine categories of genes that are almost certainly relevant for pathogenesis, including transcriptionfactor fusions (18% of cases), the gene encoding nucleophosmin (NPM1) (27%), tumorsuppressor genes (16%), DNA-methylation–related genes (44%), signaling genes (59%), chromatin-modifying genes (30%), myeloid transcription-factor genes (22%), cohesin-complex genes (13%), and spliceosome-complex genes (14%) Patterns of cooperation and mutual exclusivity suggested strong biologic relationships among several of the genes and categories CONCLUSIONS—We identified at least one potential driver mutation in nearly all AML samples and found that a complex interplay of genetic events contributes to AML pathogenesis in individual patients The databases from this study are widely available to serve as a foundation for further investigations of AML pathogenesis, classification, and risk stratification (Funded by the National Institutes of Health) The molecular pathogenesis of acute myeloid leukemia (AML) has been studied with the use of cytogenetic analysis for more than three decades Recurrent chromosomal structural variations are well established as diagnostic and prognostic markers, suggesting that acquired genetic abnormalities (ie, somatic mutations) have an essential role in pathogenesis 1,2 However, nearly 50% of AML samples have a normal karyotype, and many of these genomes lack structural abnormalities, even when assessed with high-density comparative genomic hybridization or single-nucleotide polymorphism (SNP) arrays 3-5 (see Glossary) Targeted sequencing has identified recurrent mutations in FLT3, NPM1, KIT, CEBPA, and TET2 6-8 Massively parallel sequencing enabled the discovery of recurrent mutations in DNMT3A 9,10 and IDH1 11 Recent studies have shown that many patients with

3,980 citations

Journal ArticleDOI
TL;DR: Age-related clonal hematopoiesis is a common condition that is associated with increases in the risk of hematologic cancer and in all-cause mortality, with the latter possibly due to an increased risk of cardiovascular disease.
Abstract: Background The incidence of hematologic cancers increases with age. These cancers are associated with recurrent somatic mutations in specific genes. We hypothesized that such mutations would be detectable in the blood of some persons who are not known to have hematologic disorders. Methods We analyzed whole-exome sequencing data from DNA in the peripheral-blood cells of 17,182 persons who were unselected for hematologic phenotypes. We looked for somatic mutations by identifying previously characterized single-nucleotide variants and small insertions or deletions in 160 genes that are recurrently mutated in hematologic cancers. The presence of mutations was analyzed for an association with hematologic phenotypes, survival, and cardiovascular events. Results Detectable somatic mutations were rare in persons younger than 40 years of age but rose appreciably in frequency with age. Among persons 70 to 79 years of age, 80 to 89 years of age, and 90 to 108 years of age, these clonal mutations were observed in 9.5% (219 of 2300 persons), 11.7% (37 of 317), and 18.4% (19 of 103), respectively. The majority of the variants occurred in three genes: DNMT3A, TET2, and ASXL1. The presence of a somatic mutation was associated with an increase in the risk of hematologic cancer (hazard ratio, 11.1; 95% confidence interval [CI], 3.9 to 32.6), an increase in all-cause mortality (hazard ratio, 1.4; 95% CI, 1.1 to 1.8), and increases in the risks of incident coronary heart disease (hazard ratio, 2.0; 95% CI, 1.2 to 3.4) and ischemic stroke (hazard ratio, 2.6; 95% CI, 1.4 to 4.8). Conclusions Age-related clonal hematopoiesis is a common condition that is associated with increases in the risk of hematologic cancer and in all-cause mortality, with the latter possibly due to an increased risk of cardiovascular disease. (Funded by the National Institutes of Health and others.)

3,183 citations


"The 2016 revision to the World Heal..." refers background in this paper

  • ...Importantly, acquired clonal mutations identical to those seen inMDS can occur in the hematopoietic cells of apparently healthy older individuals without MDS, so-called “clonal hematopoiesis of indeterminate potential” (CHIP).(30,31,61) Although some patients with CHIP subsequently developMDS, the natural history of this condition is not yet fully understood; thus, the presence of MDS-associated somatic mutations alone is not considered diagnostic of MDS in this classification, even inapatientwith unexplainedcytopenia,where these mutations may be commonly found....

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Journal ArticleDOI
TL;DR: Clonal hematopoiesis with somatic mutations is readily detected by means of DNA sequencing, is increasingly common as people age, and is associated with increased risks of hematologic cancer and death.
Abstract: Cancers arise from multiple acquired mutations, which presumably occur over many years. Early stages in cancer development might be present years before cancers become clinically apparent. Methods We analyzed data from whole-exome sequencing of DNA in peripheral-blood cells from 12,380 persons, unselected for cancer or hematologic phenotypes. We identified somatic mutations on the basis of unusual allelic fractions. We used data from Swedish national patient registers to follow health outcomes for 2 to 7 years after DNA sampling. Results Clonal hematopoiesis with somatic mutations was observed in 10% of persons older than 65 years of age but in only 1% of those younger than 50 years of age. Detectable clonal expansions most frequently involved somatic mutations in three genes (DNMT3A, ASXL1, and TET2) that have previously been implicated in hematologic cancers. Clonal hematopoiesis was a strong risk factor for subsequent hematologic cancer (hazard ratio, 12.9; 95% confidence interval, 5.8 to 28.7). Approximately 42% of hematologic cancers in this cohort arose in persons who had clonality at the time of DNA sampling, more than 6 months before a first diagnosis of cancer. Analysis of bone marrow–biopsy specimens obtained from two patients at the time of diagnosis of acute myeloid leukemia revealed that their cancers arose from the earlier clones. Conclusions Clonal hematopoiesis with somatic mutations is readily detected by means of DNA sequencing, is increasingly common as people age, and is associated with increased risks of hematologic cancer and death. A subset of the genes that are mutated in patients with myeloid cancers is frequently mutated in apparently healthy persons; these mutations may represent characteristic early events in the development of hematologic cancers. (Funded by the National Human Genome Research Institute and others.)

2,497 citations

Journal ArticleDOI
20 Sep 2012-Blood
TL;DR: This revised IPSS-R comprehensively integrated the numerous known clinical features into a method analyzing MDS patient prognosis more precisely than the initial IPSS and should prove beneficial for predicting the clinical outcomes of untreated MDS patients and aiding design and analysis of clinical trials in this disease.

2,310 citations


"The 2016 revision to the World Heal..." refers background in this paper

  • ...The myeloblast percentage, as determined by counting wellprepared, cellular BM aspirate smears and/or touch preparations and a PB smear, remains critical in defining theWHOMDScategories and as risk strata in the Revised International Prognostic Scoring System (IPSS-R).(54) The presence of 1%blasts in the PB,with,5%BMblasts, defines 1 type ofMDS, unclassifiable (MDS-U)....

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Related Papers (5)
Timothy J. Ley, Christopher A. Miller, Li Ding, Benjamin J. Raphael, Andrew J. Mungall, Gordon Robertson, Katherine A. Hoadley, Timothy J. Triche, Peter W. Laird, Jack Baty, Lucinda Fulton, Robert S. Fulton, Sharon Heath, Joelle Kalicki-Veizer, Cyriac Kandoth, Jeffery M. Klco, Daniel C. Koboldt, Krishna L. Kanchi, Shashikant Kulkarni, Tamara Lamprecht, David E. Larson, G. Lin, Charles Lu, Michael D. McLellan, Joshua F. McMichael, Jacqueline E. Payton, Heather Schmidt, David H. Spencer, Michael H. Tomasson, John W. Wallis, Lukas D. Wartman, Mark A. Watson, John S. Welch, Michael C. Wendl, Adrian Ally, Miruna Balasundaram, Inanc Birol, Yaron S.N. Butterfield, Readman Chiu, Andy Chu, Eric Chuah, Hye Jung E. Chun, Richard Corbett, Noreen Dhalla, Ranabir Guin, An He, Carrie Hirst, Martin Hirst, Robert A. Holt, Steven J.M. Jones, Aly Karsan, Darlene Lee, Haiyan I. Li, Marco A. Marra, Michael Mayo, Richard A. Moore, Karen Mungall, Jeremy Parker, Erin Pleasance, Patrick Plettner, Jacquie Schein, Dominik Stoll, Lucas Swanson, Angela Tam, Nina Thiessen, Richard Varhol, Natasja Wye, Yongjun Zhao, Stacey Gabriel, Gad Getz, Carrie Sougnez, Lihua Zou, Mark D.M. Leiserson, Fabio Vandin, Hsin-Ta Wu, Frederick Applebaum, Stephen B. Baylin, Rehan Akbani, Bradley M. Broom, Ken Chen, Thomas C. Motter, Khanh Thi-Thuy Nguyen, John N. Weinstein, Nianziang Zhang, Martin L. Ferguson, Christopher Adams, Aaron D. Black, Jay Bowen, Julie M. Gastier-Foster, Thomas Grossman, Tara M. Lichtenberg, Lisa Wise, Tanja Davidsen, John A. Demchok, Kenna R. Mills Shaw, Margi Sheth, Heidi J. Sofia, Liming Yang, James R. Downing, Greg Eley, Shelley Alonso, Brenda Ayala, Julien Baboud, Mark Backus, Sean P. Barletta, Dominique L. Berton, Anna L. Chu, Stanley Girshik, Mark A. Jensen, Ari B. Kahn, Prachi Kothiyal, Matthew C. Nicholls, Todd Pihl, David Pot, Rohini Raman, Rashmi N. Sanbhadti, Eric E. Snyder, Deepak Srinivasan, Jessica Walton, Yunhu Wan, Zhining Wang, Jean Pierre J. Issa, Michelle M. Le Beau, Martin Carroll, Hagop M. Kantarjian, Steven M. Kornblau, Moiz S. Bootwalla, Phillip H. Lai, Hui Shen, David Van Den Berg, Daniel J. Weisenberger, Daniel C. Link, Matthew J. Walter, Bradley A. Ozenberger, Elaine R. Mardis, Peter Westervelt, Timothy A. Graubert, John F. DiPersio, Richard K. Wilson 
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What is the World Health Organization's classification of leukemia in 2016?

يتضمن تصنيف منظمة الصحة العالمية لسرطان الدم في عام 2016 تحسينات في التفسير المورفولوجي وتقييم قلة الكريات، بالإضافة إلى دمج المعلومات الجينية.