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Arber, Daniel A

0000-0002-2160-9689

Mayo Clinic

University of Chicago, Chicago, IL, USA.

Citations 19

TP53 variant allele frequency and therapy‐related setting independently predict survival in myelodysplastic syndromes with del(5q)
Tefferi, Ayalew , Fleti, Farah, Ali, Najla H. Al, Al‐Kali, Aref , Begna, Kebede H. , Foran, James M. , Badar, Talha , Khera, Nandita , Shah, Meera , Hiwase, Devendra , Padron, Eric , Sallman, David A. , Pardanani, Animesh , Reichard, Kaaren K. , He, Rong , Gangat, Naseema , Chan, Onyee , Al-Kali, Aref , Foran, James M , Badar, Talha , Shah, Mithun V , Hiwase, Devendra , Sallman, David A , Pardanani, Animesh , Arber, Daniel A , He, Rong , Gangat, Naseema , Komrokji, Rami S , Arber, Daniel A. , Orazi, Attilio , Ketterling, Rhett P. , Komrokji, Rami S.

British Journal of Haematology | December 12, 2023 | Volume: 204 | Issue: 4 | Pages: 1243-1248

10.1111/bjh.19247 Get It

SummaryAmong 210 patients with myelodysplastic syndromes (MDSs) with del(5q), molecular information was available at diagnosis or at least 3 months before leukaemic transformation in 146 cases. Multivariate analysis identified therapy‐related setting (p = 0.02; HR 2.3) and TP53 variant allele frequency (VAF) ≥22% (p < 0.01; HR 2.8), but not SF3B1 mutation (p = 0.65), as independent risk factors for survival. Median survival was 11.7 versus 4 years (5/10‐year survival 73%/52% vs. 42%/14%) in the absence (N = 112) versus presence (N = 34) of ≥1 risk factors; leukaemia‐free survival was affected by TP53 VAF ≥22% (p < 0.01). Such information might inform treatment decision‐making in MDS‐del(5q) regarding allogeneic stem cell transplant.
The international consensus classification of eosinophilic disorders and systemic mastocytosis
Wang, Sa A. , Orazi, Attilio , Reiter, Andreas , Tzankov, Alexandar , Hasserjian, Robert P. , Arber, Daniel A. , Tefferi, Ayalew , Tzankov, Alexandar , Arber, Daniel A , Tefferi, Ayalew , Orazi, Attilio , Gotlib, Jason

American Journal of Hematology | June 8, 2023 | Volume: 98 | Issue: 8 | Pages: 1286-1306

10.1002/ajh.26966 Get It

AbstractBased on new data and increased understanding of disease molecular genetics, the international consensus classification (ICC) has made several changes in the diagnosis and classification of eosinophilic disorders and systemic mastocytosis. Myeloid/lymphoid neoplasms with eosinophilia (M/LN‐eo) and gene rearrangements have been renamed as M/LN‐eo with tyrosine kinase gene fusions (M/LN‐eo‐TK). The category has been expanded to include ETV6::ABL1 and FLT3 fusions, and to accept PCM1::JAK2 and its genetic variants as formal members. The overlaps and differences between M/LN‐eo‐TK and BCR::ABL1‐like B‐lymphoblastic leukemia (ALL)/de novo T‐ALL sharing the same genetic lesions are addressed. Besides genetics, ICC for the first time has introduced bone marrow morphologic criteria in distinguishing idiopathic hypereosinophilia/hypereosinophilic syndrome from chronic eosinophilic leukemia, not otherwise specified. The major diagnostic criteria for systemic mastocytosis (SM) in the ICC remain largely based on morphology, but several minor modifications/refinements have been made in criteria related to diagnosis, subclassification, and assessment of disease burden (B‐ and C‐findings). This review is to focus on the ICC updates related to these disease entities, illustrated through changes related to morphology, molecular genetics, clinical features, prognosis, and treatment. Two practical algorithms are provided in navigating through the diagnosis and classification systems of hypereosinophilia and SM.
International Consensus Classification for myeloid neoplasms at‐a‐glance
Hasserjian, Robert P. , Cazzola, Mario , Tefferi, Ayalew , Arber, Daniel A. , Tefferi, Ayalew , Arber, Daniel A , Cazzola, Mario , Orazi, Attilio , Döhner, Hartmut

American Journal of Hematology | October 31, 2022 | Volume: 98 | Issue: 1 | Pages: 6-10

10.1002/ajh.26772 Get It

The international consensus classification of myeloid neoplasms and acute Leukemias: myeloproliferative neoplasms
Thiele, Jürgen, Kvasnicka, Hans Michael , Orazi, Attilio , Gangat, Naseema , Vannucchi, Alessandro M. , Barbui, Tiziano , Arber, Daniel A. , Tefferi, Ayalew , Gangat, Naseema , Vannucchi, Alessandro M , Barbui, Tiziano , Arber, Daniel A , Tefferi, Ayalew , Orazi, Attilio , Gianelli, Umberto

American Journal of Hematology | October 6, 2022 | Volume: 98 | Issue: 1 | Pages: 166-179

10.1002/ajh.26751 Get It

AbstractA group of international experts, including hematopathologists, oncologists, and geneticists were recently summoned (September 2021, Chicago, IL, USA) to update the 2016/17 World Health Organization classification system for hematopoietic tumors. After careful deliberation, the group introduced the new International Consensus Classification (ICC) for Myeloid Neoplasms and Acute Leukemias. This current in‐depth review focuses on the ICC‐2022 category of JAK2 mutation‐prevalent myeloproliferative neoplasms (MPNs): essential thrombocythemia, polycythemia vera, primary myelofibrosis, and MPN, unclassifiable. The ICC MPN subcommittee chose to preserve the primary role of bone marrow morphology in disease classification and diagnostics, while also acknowledging the complementary role of genetic markers for establishing clonality, facilitating MPN subtype designation, and disease prognostication.
Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia
Duncavage, Eric J., Bagg, Adam , Hasserjian, Robert P. , DiNardo, Courtney D. , Iacobucci, Ilaria , Jaiswal, Siddhartha , Vannucchi, Alessandro M. , Patel, Keyur P. , Arcila, Maria E. , Borowitz, Michael J., Cargo, Catherine , Garcia‐Manero, Guillermo , Haferlach, Torsten , Hellström‐Lindberg, Eva , Klco, Jeffery M. , Loh, Mignon Lee-Cheun, Papaemmanuil, Elli , Reiter, Andreas , Skoda, Radek C. , Solé, Françesc , Stone, Richard M. , Tefferi, Ayalew , Wu, David , Ebert, Benjamin L. , Cazzola, Mario , Godley, Lucy A , Iacobucci, Ilaria , Jaiswal, Siddhartha , Malcovati, Luca , Vannucchi, Alessandro M , Patel, Keyur P , Arber, Daniel A , Bejar, Rafael , Branford, Susan , Brown, Anna L , Döhner, Hartmut , Falini, Brunangelo , Kim, Annette S , Komrokji, Rami S , Loghavi, Sanam , Mullighan, Charles G , Ogawa, Seishi , Ross, David M , Savona, Michael R , Shimamura, Akiko , Solé, Francesc , Walter, Matthew J , Wu, David , Ebert, Benjamin L , Cazzola, Mario , DiNardo, Courtney , Godley, Lucy A. , Malcovati, Luca , Arber, Daniel A. , Berliner, Nancy , Branford, Susan , Brown, Anna , Falini, Brunangelo , Komrokji, Rami S. , Loh, Mignon L. , Loghavi, Sanam , Mullighan, Charles G. , Orazi, Attilio , Savona, Michael R.

Blood | September 21, 2022 | Volume: 140 | Issue: 21 | Pages: 2228-2247

10.1182/blood.2022015853 Get It

Abstract Myeloid neoplasms and acute leukemias derive from the clonal expansion of hematopoietic cells driven by somatic gene mutations. Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly important for accurate diagnosis, risk assessment, and therapeutic decision making. Conventional cytogenetics, a comprehensive and unbiased method for assessing chromosomal abnormalities, has been the mainstay of genomic testing over the past several decades and remains relevant today. However, more recent advances in sequencing technology have increased our ability to detect somatic mutations through the use of targeted gene panels, whole-exome sequencing, whole-genome sequencing, and whole-transcriptome sequencing or RNA sequencing. In patients with myeloid neoplasms, whole-genome sequencing represents a potential replacement for both conventional cytogenetic and sequencing approaches, providing rapid and accurate comprehensive genomic profiling. DNA sequencing methods are used not only for detecting somatically acquired gene mutations but also for identifying germline gene mutations associated with inherited predisposition to hematologic neoplasms. The 2022 International Consensus Classification of myeloid neoplasms and acute leukemias makes extensive use of genomic data. The aim of this report is to help physicians and laboratorians implement genomic testing for diagnosis, risk stratification, and clinical decision making and illustrates the potential of genomic profiling for enabling personalized medicine in patients with hematologic neoplasms.
International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data
Arber, Daniel A. , Hasserjian, Robert P. , Borowitz, Michael J., Kvasnicka, Hans Michael , Wang, Sa A. , Bagg, Adam , Barbui, Tiziano , Branford, Susan , Bueso‐Ramos, Carlos E. , Cortes, Jörge E. , Cin, Paola Dal , Dombret, Hervé , Duncavage, Eric J., Ebert, Benjamin L. , Estey, Elihu H. , Foucar, Kathryn , Gangat, Naseema , Gökbuget, Nicola , Hellström‐Lindberg, Eva , Beau, Michelle M. Le , Löwenberg, Bob , Malcovati, Luca , Odenike, Olatoyosi , Papaemmanuil, Elli , Porkka, Kimmo , Radich, Jerald P. , Reiter, Andreas , Rudelius, Martina , Schiffer, Charles A. , Sierra, Jorge , Stone, Richard M. , Tallman, Martin S. , Thiele, Jürgen, Tzankov, Alexandar , Wei, Andrew H. , Weinberg, Olga K. , Wierzbowska, Agnieszka , Cazzola, Mario , Tefferi, Ayalew , Hasserjian, Robert P , Kvasnicka, Hans-Michael , Barbui, Tiziano , Branford, Susan , Cortes, Jorge , DiNardo, Courtney , Ebert, Benjamin L , Gangat, Naseema , Gianelli, Umberto , Hobbs, Gabriela S , Larson, Richard A , Löwenberg, Bob , Macintyre, Elizabeth , Malcovati, Luca , Mullighan, Charles G , Niemeyer, Charlotte Marie , Ogawa, Seishi , Passamonti, Francesco , Porkka, Kimmo , Savona, Michael R , Schmitt-Graeff, Annette , Shimamura, Akiko , Vannucchi, Alessandro M , Vyas, Paresh , Wei, Andrew H , Wierzbowska, Agnieszka , Cazzola, Mario , Döhner, Hartmut , Tzankov, Alexandar , Arber, Daniel A , Orazi, Attilio , Calvo, Katherine R. , DiNardo, Courtney D. , Facchetti, Fabio , Gianelli, Umberto , Godley, Lucy A. , Gotlib, Jason , Hobbs, Gabriela , Hoffman, Ronald , Jabbour, Elias , Kiladjian, Jean‐Jacques , Larson, Richard A. , Loh, Mignon L. , Macintyre, Elizabeth , Mullighan, Charles G. , Órfão, Alberto , Passamonti, Francesco , Pui, Ching-Hon , Rozman, Marı́a , Savona, Michael R. , Stock, Wendy , Tien, Hwei‐Fang , Vannucchi, Alessandro M.

Blood | June 29, 2022 | Volume: 140 | Issue: 11 | Pages: 1200-1228

10.1182/blood.2022015850 Get It

Abstract The classification of myeloid neoplasms and acute leukemias was last updated in 2016 within a collaboration between the World Health Organization (WHO), the Society for Hematopathology, and the European Association for Haematopathology. This collaboration was primarily based on input from a clinical advisory committees (CACs) composed of pathologists, hematologists, oncologists, geneticists, and bioinformaticians from around the world. The recent advances in our understanding of the biology of hematologic malignancies, the experience with the use of the 2016 WHO classification in clinical practice, and the results of clinical trials have indicated the need for further revising and updating the classification. As a continuation of this CAC-based process, the authors, a group with expertise in the clinical, pathologic, and genetic aspects of these disorders, developed the International Consensus Classification (ICC) of myeloid neoplasms and acute leukemias. Using a multiparameter approach, the main objective of the consensus process was the definition of real disease entities, including the introduction of new entities and refined criteria for existing diagnostic categories, based on accumulated data. The ICC is aimed at facilitating diagnosis and prognostication of these neoplasms, improving treatment of affected patients, and allowing the design of innovative clinical trials.
Classification of myeloid neoplasms/acute leukemia: Global perspectives and the international consensus classification approach
Arber, Daniel A. , Hasserjian, Robert P. , Mathews, Vikram , Roberts, Andrew W. , Schiffer, Charles A. , Roug, Anne Stidsholt , Tefferi, Ayalew , Mathews, Vikram , Tefferi, Ayalew , Roberts, Andrew W , Arber, Daniel A , Orazi, Attilio , Cazzola, Mario , Döhner, Hartmut

American Journal of Hematology | February 18, 2022 | Volume: 97 | Issue: 5 | Pages: 514-518

10.1002/ajh.26503 Get It

Lymphoid blast transformation in an MPN with BCR-JAK2 treated with ruxolitinib: putative mechanisms of resistance
Chen, Justin Anthony , Roskin, Krishna M. , Arber, Daniel A. , Bangs, Charles D., Cherry, Athena M. , Ewalt, Mark D. , Frésard, Laure , Kearney, Hutton M. , Ohgami, Robert S. , Pearce, Kathryn E., Merker, Jason D. , Roskin, Krishna M , Arber, Daniel A , Cherry, Athena M , Ewalt, Mark D , Fire, Andrew Z , Fresard, Laure , Kearney, Hutton M , Montgomery, Stephen B , Ohgami, R S , Pitel, Beth A , Merker, Jason D , Gotlib, Jason , Hou, Yanli , Baughn, Linda B. , Montgomery, Stephen B. , Pitel, Beth A. , Gotlib, Jason

Blood Advances | September 10, 2021 | Volume: 5 | Issue: 17 | Pages: 3492-3496

10.1182/bloodadvances.2020004174 Get It

Abstract The basis for acquired resistance to JAK inhibition in patients with JAK2-driven hematologic malignancies is not well understood. We report a patient with a myeloproliferative neoplasm (MPN) with a BCR activator of RhoGEF and GTPase (BCR)–JAK2 fusion with initial hematologic response to ruxolitinib who rapidly developed B-lymphoid blast transformation. We analyzed pre-ruxolitinib and blast transformation samples using genome sequencing, DNA mate-pair sequencing (MPseq), RNA sequencing (RNA-seq), and chromosomal microarray to characterize possible mechanisms of resistance. No resistance mutations in the BCR-JAK2 fusion gene or transcript were identified, and fusion transcript expression levels remained stable. However, at the time of blast transformation, MPseq detected a new IKZF1 copy-number loss, which is predicted to result in loss of normal IKZF1 protein translation. RNA-seq revealed significant upregulation of genes negatively regulated by IKZF1, including IL7R and CRLF2. Disease progression was also characterized by adaptation to an activated B-cell receptor (BCR)–like signaling phenotype, with marked upregulation of genes such as CD79A, CD79B, IGLL1, VPREB1, BLNK, ZAP70, RAG1, and RAG2. In summary, IKZF1 deletion and a switch from cytokine dependence to activated BCR-like signaling phenotype represent putative mechanisms of ruxolitinib resistance in this case, recapitulating preclinical data on resistance to JAK inhibition in CRLF2-rearranged Philadelphia chromosome-like acute lymphoblastic leukemia.