51
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Yu CH, Wu G, Chang CC, Jou ST, Lu MY, Lin KH, Chen SH, Wu KH, Huang FL, Cheng CN, Chang HH, Hedges D, Wang JL, Yen HJ, Li MJ, Chou SW, Hung CT, Lin ZS, Lin CY, Chen HY, Ni YL, Hsu YC, Lin DT, Lin SW, Yang JJ, Pui CH, Yu SL, Yang YL. Sequential Approach to Improve the Molecular Classification of Childhood Acute Lymphoblastic Leukemia. J Mol Diagn 2022; 24:1195-1206. [PMID: 35963521 PMCID: PMC9667711 DOI: 10.1016/j.jmoldx.2022.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/27/2022] [Accepted: 08/03/2022] [Indexed: 10/15/2022] Open
Abstract
Identification of specific leukemia subtypes is a key to successful risk-directed therapy in childhood acute lymphoblastic leukemia (ALL). Although RNA sequencing (RNA-seq) is the best approach to identify virtually all specific leukemia subtypes, the routine use of this method is too costly for patients in resource-limited countries. This study enrolled 295 patients with pediatric ALL from 2010 to 2020. Routine screening could identify major cytogenetic alterations in approximately 69% of B-cell ALL (B-ALL) cases by RT-PCR, DNA index, and multiplex ligation-dependent probe amplification. STIL-TAL1 was present in 33% of T-cell ALL (T-ALL) cases. The remaining samples were submitted for RNA-seq. More than 96% of B-ALL cases and 74% of T-ALL cases could be identified based on the current molecular classification using this sequential approach. Patients with Philadelphia chromosome-like ALL constituted only 2.4% of the entire cohort, a rate even lower than those with ZNF384-rearranged (4.8%), DUX4-rearranged (6%), and Philadelphia chromosome-positive (4.4%) ALL. Patients with ETV6-RUNX1, high hyperdiploidy, PAX5 alteration, and DUX4 rearrangement had favorable prognosis, whereas those with hypodiploid and KMT2A and MEF2D rearrangement ALL had unfavorable outcomes. With the use of multiplex ligation-dependent probe amplification, DNA index, and RT-PCR in B-ALL and RT-PCR in T-ALL followed by RNA-seq, childhood ALL can be better classified to improve clinical assessments.
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Affiliation(s)
- Chih-Hsiang Yu
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Gang Wu
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Chia-Ching Chang
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shiann-Tarng Jou
- Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan; Department of Pediatrics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Meng-Yao Lu
- Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan; Department of Pediatrics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Kai-Hsin Lin
- Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan
| | - Shu-Huey Chen
- Department of Pediatrics, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Kang-Hsi Wu
- Department of Pediatrics, Chung Shan Medical University Hospital and School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Fang-Liang Huang
- Department of Pediatrics, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chao-Neng Cheng
- Department of Pediatrics, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Hsiu-Hao Chang
- Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan; Department of Pediatrics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Dale Hedges
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jinn-Li Wang
- Division of Hematology Oncology, Department of Pediatrics, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Department of Pediatrics, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Hsiu-Ju Yen
- Department of Pediatrics, Taipei Veterans General Hospital and National Yang-Ming Chiao-Tung University School of Medicine, Taipei, Taiwan
| | - Meng-Ju Li
- Department of Pediatrics, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Shu-Wei Chou
- Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan
| | - Chen-Ting Hung
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ze-Shiang Lin
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chien-Yu Lin
- Institute of Statistical Science Academia Sinica, Taipei, Taiwan
| | - Hsuan-Yu Chen
- Institute of Statistical Science Academia Sinica, Taipei, Taiwan
| | - Yu-Ling Ni
- Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yin-Chen Hsu
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Dong-Tsamn Lin
- Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan; Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Shu-Wha Lin
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Jun J Yang
- Department of Pharmacology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Ching-Hon Pui
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Sung-Liang Yu
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan; Centers of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan; Graduate Institute of Pathology, College of Medicine, National Taiwan University, Taipei, Taiwan.
| | - Yung-Li Yang
- Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan; Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan; Department of Laboratory Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
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52
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Jia Z, Gu Z. PAX5 alterations in B-cell acute lymphoblastic leukemia. Front Oncol 2022; 12:1023606. [PMID: 36387144 PMCID: PMC9640836 DOI: 10.3389/fonc.2022.1023606] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/13/2022] [Indexed: 12/01/2022] Open
Abstract
PAX5, a master regulator of B cell development and maintenance, is one of the most common targets of genetic alterations in B-cell acute lymphoblastic leukemia (B-ALL). PAX5 alterations consist of copy number variations (whole gene, partial, or intragenic), translocations, and point mutations, with distinct distribution across B-ALL subtypes. The multifaceted functional impacts such as haploinsufficiency and gain-of-function of PAX5 depending on specific variants have been described, thereby the connection between the blockage of B cell development and the malignant transformation of normal B cells has been established. In this review, we provide the recent advances in understanding the function of PAX5 in orchestrating the development of both normal and malignant B cells over the past decade, with a focus on the PAX5 alterations shown as the initiating or driver events in B-ALL. Recent large-scale genomic analyses of B-ALL have identified multiple novel subtypes driven by PAX5 genetic lesions, such as the one defined by a distinct gene expression profile and PAX5 P80R mutation, which is an exemplar leukemia entity driven by a missense mutation. Although altered PAX5 is shared as a driver in B-ALL, disparate disease phenotypes and clinical outcomes among the patients indicate further heterogeneity of the underlying mechanisms and disturbed gene regulation networks along the disease development. In-depth mechanistic studies in human B-ALL and animal models have demonstrated high penetrance of PAX5 variants alone or concomitant with other genetic lesions in driving B-cell malignancy, indicating the altered PAX5 and deregulated genes may serve as potential therapeutic targets in certain B-ALL cases.
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Affiliation(s)
- Zhilian Jia
- Department of Computational and Quantitative Medicine, Beckman Research Institute of City of Hope, Duarte, CA, United States
- Department of Systems Biology, Beckman Research Institute of City of Hope, Duarte, CA, United States
| | - Zhaohui Gu
- Department of Computational and Quantitative Medicine, Beckman Research Institute of City of Hope, Duarte, CA, United States
- Department of Systems Biology, Beckman Research Institute of City of Hope, Duarte, CA, United States
- *Correspondence: Zhaohui Gu,
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53
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Rehn J, Mayoh C, Heatley SL, McClure BJ, Eadie LN, Schutz C, Yeung DT, Cowley MJ, Breen J, White DL. RaScALL: Rapid (Ra) screening (Sc) of RNA-seq data for prognostically significant genomic alterations in acute lymphoblastic leukaemia (ALL). PLoS Genet 2022; 18:e1010300. [PMID: 36251721 PMCID: PMC9612819 DOI: 10.1371/journal.pgen.1010300] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/27/2022] [Accepted: 09/22/2022] [Indexed: 12/05/2022] Open
Abstract
RNA-sequencing (RNA-seq) efforts in acute lymphoblastic leukaemia (ALL) have identified numerous prognostically significant genomic alterations which can guide diagnostic risk stratification and treatment choices when detected early. However, integrating RNA-seq in a clinical setting requires rapid detection and accurate reporting of clinically relevant alterations. Here we present RaScALL, an implementation of the k-mer based variant detection tool km, capable of identifying more than 100 prognostically significant lesions observed in ALL, including gene fusions, single nucleotide variants and focal gene deletions. We compared genomic alterations detected by RaScALL and those reported by alignment-based de novo variant detection tools in a study cohort of 180 Australian patient samples. Results were validated using 100 patient samples from a published North American cohort. RaScALL demonstrated a high degree of accuracy for reporting subtype defining genomic alterations. Gene fusions, including difficult to detect fusions involving EPOR and DUX4, were accurately identified in 98% of reported cases in the study cohort (n = 164) and 95% of samples (n = 63) in the validation cohort. Pathogenic sequence variants were correctly identified in 75% of tested samples, including all cases involving subtype defining variants PAX5 p.P80R (n = 12) and IKZF1 p.N159Y (n = 4). Intragenic IKZF1 deletions resulting in aberrant transcript isoforms were also detectable with 98% accuracy. Importantly, the median analysis time for detection of all targeted alterations averaged 22 minutes per sample, significantly shorter than standard alignment-based approaches. The application of RaScALL enables rapid identification and reporting of previously identified genomic alterations of known clinical relevance.
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Affiliation(s)
- Jacqueline Rehn
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia
| | - Chelsea Mayoh
- Children’s Cancer Institute, Kensington, New South Wales, Australia
- School of Clinical Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Susan L Heatley
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia
- Australian and New Zealand Children’s Oncology Group (ANZCHOG), Clayton, Victoria, Australia
| | - Barbara J McClure
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia
| | - Laura N Eadie
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia
| | - Caitlin Schutz
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - David T Yeung
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia
- Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, South Australia, Australia
| | - Mark J Cowley
- Children’s Cancer Institute, Kensington, New South Wales, Australia
- School of Clinical Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - James Breen
- Black Ochre Data Labs, Telethon Kids Institute, Adelaide, South Australia, Australia
- Australian National University, Canberra, Australian Capital Territory, Australia
- * E-mail:
| | - Deborah L White
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia
- Australian and New Zealand Children’s Oncology Group (ANZCHOG), Clayton, Victoria, Australia
- Australian Genomics Health Alliance (AGHA), Parkville, Victoria, Australia
- Faculty of Sciences, University of Adelaide, Adelaide, South Australia, Australia
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54
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Yasuda T, Sanada M, Tsuzuki S, Hayakawa F. Oncogenic lesions and molecular subtypes in adults with B-cell acute lymphoblastic leukemia. Cancer Sci 2022; 114:8-15. [PMID: 36106363 PMCID: PMC9807527 DOI: 10.1111/cas.15583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 08/12/2022] [Accepted: 09/04/2022] [Indexed: 01/07/2023] Open
Abstract
B-cell acute lymphoblastic leukemia (B-ALL), a genetically heterogeneous disease, is classified into different molecular subtypes that are defined by recurrent gene rearrangements, gross chromosomal abnormalities, or specific gene mutations. Cells with these genetic alterations acquire a leukemia-initiating ability and show unique expression profiles. The distribution of B-ALL molecular subtypes is greatly dependent on age, which also affects treatment responsiveness and long-term survival, partly accounting for the inferior outcome in adolescents and young adults (AYA) and (older) adults with B-ALL. Recent advances in sequencing technology, especially RNA sequencing and the application of these technologies in large B-ALL cohorts have uncovered B-ALL molecular subtypes prevalent in AYA and adults. These new insights supply more precise estimations of prognoses and targeted therapies informed by sequencing results, as well as a deeper understanding of the genetic basis of AYA/adult B-ALL. This article provides an account of these technological advances and an overview of the recent major findings of B-ALL molecular subtypes in adults.
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Affiliation(s)
- Takahiko Yasuda
- Clinical Research CenterNational Hospital Organization Nagoya Medical CenterNagoyaJapan
| | - Masashi Sanada
- Clinical Research CenterNational Hospital Organization Nagoya Medical CenterNagoyaJapan
| | - Shinobu Tsuzuki
- Department of BiochemistryAichi Medical University School of MedicineNagakuteJapan
| | - Fumihiko Hayakawa
- Division of Cellular and Genetic Sciences, Department of Integrated Health SciencesNagoya University Graduate School of MedicineNagoyaJapan
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55
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Zhang M, Zhang H, Li Z, Bai L, Wang Q, Li J, Jiang M, Xue Q, Cheng N, Zhang W, Mao D, Chen Z, Huang J, Meng G, Chen Z, Chen SJ. Functional, structural, and molecular characterizations of the leukemogenic driver MEF2D-HNRNPUL1 fusion. Blood 2022; 140:1390-1407. [PMID: 35544603 PMCID: PMC9507012 DOI: 10.1182/blood.2022016241] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 05/03/2022] [Indexed: 12/02/2022] Open
Abstract
Recurrent MEF2D fusions with poor prognosis have been identified in B-cell precursor ALL (BCP-ALL). The molecular mechanisms underlying the pathogenic function of MEF2D fusions are poorly understood. Here, we show that MEF2D-HNRNPUL1 (MH) knock-in mice developed a progressive disease from impaired B-cell development at the pre-pro-B stage to pre-leukemia over 10 to 12 months. When cooperating with NRASG12D, MH drove an outbreak of BCP-ALL, with a more aggressive phenotype than the NRASG12D-induced leukemia. RNA-sequencing identified key networks involved in disease mechanisms. In chromatin immunoprecipitation-sequencing experiments, MH acquired increased chromatin-binding ability, mostly through MEF2D-responsive element (MRE) motifs in target genes, compared with wild-type MEF2D. Using X-ray crystallography, the MEF2D-MRE complex was characterized in atomic resolution, whereas disrupting the MH-DNA interaction alleviated the aberrant target gene expression and the B-cell differentiation arrest. The C-terminal moiety (HNRNPUL1 part) of MH was proven to contribute to the fusion protein's trans-regulatory activity, cofactor recruitment, and homodimerization. Furthermore, targeting MH-driven transactivation of the HDAC family by using the histone deacetylase inhibitor panobinostat in combination with chemotherapy improved the overall survival of MH/NRASG12D BCP-ALL mice. Altogether, these results not only highlight MH as an important driver in leukemogenesis but also provoke targeted intervention against BCP-ALL with MEF2D fusions.
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Affiliation(s)
- Ming Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Hao Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Zhihui Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Ling Bai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Qianqian Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Jianfeng Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Minghao Jiang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Qing Xue
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Nuo Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Weina Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Dongdong Mao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Zhiming Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Jinyan Huang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Guoyu Meng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Zhu Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
| | - Sai-Juan Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai JiaoTong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, China
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56
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Arber DA, Orazi A, Hasserjian RP, Borowitz MJ, Calvo KR, Kvasnicka HM, Wang SA, Bagg A, Barbui T, Branford S, Bueso-Ramos CE, Cortes JE, Dal Cin P, DiNardo CD, Dombret H, Duncavage EJ, Ebert BL, Estey EH, Facchetti F, Foucar K, Gangat N, Gianelli U, Godley LA, Gökbuget N, Gotlib J, Hellström-Lindberg E, Hobbs GS, Hoffman R, Jabbour EJ, Kiladjian JJ, Larson RA, Le Beau MM, Loh MLC, Löwenberg B, Macintyre E, Malcovati L, Mullighan CG, Niemeyer C, Odenike OM, Ogawa S, Orfao A, Papaemmanuil E, Passamonti F, Porkka K, Pui CH, Radich JP, Reiter A, Rozman M, Rudelius M, Savona MR, Schiffer CA, Schmitt-Graeff A, Shimamura A, Sierra J, Stock WA, Stone RM, Tallman MS, Thiele J, Tien HF, Tzankov A, Vannucchi AM, Vyas P, Wei AH, Weinberg OK, Wierzbowska A, Cazzola M, Döhner H, Tefferi A. International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data. Blood 2022; 140:1200-1228. [PMID: 35767897 PMCID: PMC9479031 DOI: 10.1182/blood.2022015850] [Citation(s) in RCA: 871] [Impact Index Per Article: 435.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/16/2022] [Indexed: 02/02/2023] Open
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.
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Affiliation(s)
| | - Attilio Orazi
- Texas Tech University Health Sciences Center El Paso, El Paso, TX
| | | | | | | | | | - Sa A Wang
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Adam Bagg
- University of Pennsylvania, Philadelphia, PA
| | - Tiziano Barbui
- Clinical Research Foundation, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | | | | | | | | | | | - Hervé Dombret
- Université Paris Cité, Hôpital Saint-Louis, Assistance Publique - Hôpitaux de Paris, Paris, France
| | | | | | | | | | | | | | | | | | | | - Jason Gotlib
- Stanford University School of Medicine, Stanford, CA
| | | | | | | | | | - Jean-Jacques Kiladjian
- Université Paris Cité, Hôpital Saint-Louis, Assistance Publique - Hôpitaux de Paris, Paris, France
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Kimmo Porkka
- Helsinki University Central Hospital Comprehensive Cancer Center, Helsinki, Finland
| | | | | | | | | | | | | | | | | | - Akiko Shimamura
- Dana-Farber Cancer Institute, Boston, MA
- Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Jorge Sierra
- Hospital Santa Creu i Sant Pau, Barcelona, Spain
| | | | | | | | | | - Hwei-Fang Tien
- National Taiwan University Hospital, Taipei City, Taiwan
| | | | | | - Paresh Vyas
- University of Oxford, Oxford, United Kingdom
| | - Andrew H Wei
- Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Australia
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57
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Brady SW, Roberts KG, Gu Z, Shi L, Pounds S, Pei D, Cheng C, Dai Y, Devidas M, Qu C, Hill AN, Payne-Turner D, Ma X, Iacobucci I, Baviskar P, Wei L, Arunachalam S, Hagiwara K, Liu Y, Flasch DA, Liu Y, Parker M, Chen X, Elsayed AH, Pathak O, Li Y, Fan Y, Michael JR, Rusch M, Wilkinson MR, Foy S, Hedges D, Newman S, Zhou X, Wang J, Reilly C, Sioson E, Rice SV, Loyola VP, Wu G, Rampersaud E, Reshmi SC, Gastier-Foster J, Guidry-Auvil JM, Gesuwan P, Smith MA, Winick N, Carroll AJ, Heerema NA, Harvey RC, Willman CL, Larsen E, Raetz EA, Borowitz MJ, Wood BL, Carroll WL, Zweidler-McKay PA, Rabin KR, Mattano LA, Maloney KW, Winter SS, Burke MJ, Salzer W, Dunsmore KP, Angiolillo AL, Crews KR, Downing JR, Jeha S, Pui CH, Evans WE, Yang JJ, Relling MV, Gerhard DS, Loh ML, Hunger SP, Zhang J, Mullighan C. The genomic landscape of pediatric acute lymphoblastic leukemia. Nat Genet 2022; 54:1376-1389. [PMID: 36050548 PMCID: PMC9700506 DOI: 10.1038/s41588-022-01159-z] [Citation(s) in RCA: 94] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 07/13/2022] [Indexed: 12/13/2022]
Abstract
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. Here, using whole-genome, exome and transcriptome sequencing of 2,754 childhood patients with ALL, we find that, despite a generally low mutation burden, ALL cases harbor a median of four putative somatic driver alterations per sample, with 376 putative driver genes identified varying in prevalence across ALL subtypes. Most samples harbor at least one rare gene alteration, including 70 putative cancer driver genes associated with ubiquitination, SUMOylation, noncoding transcripts and other functions. In hyperdiploid B-ALL, chromosomal gains are acquired early and synchronously before ultraviolet-induced mutation. By contrast, ultraviolet-induced mutations precede chromosomal gains in B-ALL cases with intrachromosomal amplification of chromosome 21. We also demonstrate the prognostic significance of genetic alterations within subtypes. Intriguingly, DUX4- and KMT2A-rearranged subtypes separate into CEBPA/FLT3- or NFATC4-expressing subgroups with potential clinical implications. Together, these results deepen understanding of the ALL genomic landscape and associated outcomes.
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Affiliation(s)
- Samuel W. Brady
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Kathryn G. Roberts
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Zhaohui Gu
- Department of Computational and Quantitative Medicine & Systems Biology, Beckman Research Institute of City of Hope, Duarte CA, USA
| | - Lei Shi
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Stanley Pounds
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Deqing Pei
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Cheng Cheng
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Yunfeng Dai
- Department of Biostatistics, University of Florida, Gainesville FL, USA
| | - Meenakshi Devidas
- Department of Global Pediatric Medicine, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Chunxu Qu
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Ashley N. Hill
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Debbie Payne-Turner
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Ilaria Iacobucci
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Pradyuamna Baviskar
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Lei Wei
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Sasi Arunachalam
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Kohei Hagiwara
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Yanling Liu
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Diane A. Flasch
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Yu Liu
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Matthew Parker
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Xiaolong Chen
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Abdelrahman H. Elsayed
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis TN, USA,Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Omkar Pathak
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Yongjin Li
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Yiping Fan
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - J. Robert Michael
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Michael Rusch
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Mark R. Wilkinson
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Scott Foy
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Dale Hedges
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Scott Newman
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Xin Zhou
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Jian Wang
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Colleen Reilly
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Edgar Sioson
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Stephen V. Rice
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Victor Pastor Loyola
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Gang Wu
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Evadnie Rampersaud
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Shalini C. Reshmi
- Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus OH, USA
| | | | - Jaime M. Guidry-Auvil
- Office of Cancer Genomics, National Cancer Institute, National Institutes of Health, Bethesda MD, USA
| | - Patee Gesuwan
- Office of Cancer Genomics, National Cancer Institute, National Institutes of Health, Bethesda MD, USA
| | - Malcolm A. Smith
- Cancer Therapeutics Evaluation Program, National Cancer Institute, National Institutes of Health, Bethesda MD, USA
| | - Naomi Winick
- Department of Pediatric Hematology Oncology and Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas TX, USA
| | - Andrew J. Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham AL, USA
| | | | - Richard C. Harvey
- Department of Pathology, University of New Mexico Cancer Center, Albuquerque NM, USA
| | | | - Eric Larsen
- Department of Pediatrics, Maine Children’s Cancer Program, Scarborough ME, USA
| | - Elizabeth A. Raetz
- Department of Pediatrics and Perlmutter Cancer Center, New York University Langone Medical Center, New York NY, USA
| | - Michael J. Borowitz
- Department of Pathology, Johns Hopkins Medical Institutions, Baltimore MD, USA
| | - Brent L. Wood
- Department of Pathology and Laboratory Medicine, Children’s Hospital Los Angeles, University of Southern California, CA, USA
| | - William L. Carroll
- Department of Pediatrics and Perlmutter Cancer Center, New York University Langone Medical Center, New York NY, USA
| | | | - Karen R. Rabin
- Department of Pediatrics, Baylor College of Medicine, Houston TX, USA
| | | | - Kelly W. Maloney
- Department of Pediatrics and Children’s Hospital Colorado, University of Colorado, Aurora CO, USA
| | - Stuart S. Winter
- Children’s Minnesota Research Institute and Cancer and Blood Disorders Program, Minneapolis MN, USA
| | - Michael J. Burke
- Division of Pediatric Hematology-Oncology, Medical College of Wisconsin, Milwaukee WI, USA
| | - Wanda Salzer
- Uniformed Services University, School of Medicine, Bethesda, MD, USA
| | | | | | - Kristine R. Crews
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - James R. Downing
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Sima Jeha
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Ching-Hon Pui
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - William E. Evans
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Jun J. Yang
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Mary V. Relling
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis TN, USA
| | - Daniela S. Gerhard
- Office of Cancer Genomics, National Cancer Institute, National Institutes of Health, Bethesda MD, USA
| | - Mignon L. Loh
- Department of Pediatrics, Benioff Children’s Hospital and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco CA, USA
| | - Stephen P. Hunger
- Department of Pediatrics and the Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia PA, USA
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Charles Mullighan
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis TN, USA
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58
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Hergott CB, Kim AS. Molecular Diagnostic Testing for Hematopoietic Neoplasms: Linking Pathogenic Drivers to Personalized Diagnosis. Clin Lab Med 2022; 42:325-347. [PMID: 36150815 DOI: 10.1016/j.cll.2022.04.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Molecular diagnostics inhabit an increasingly central role in characterizing hematopoietic malignancies. This brief review summarizes the genomic targets important for many major categories of hematopoietic neoplasia by focusing on disease pathogenesis. In myeloid disease, recurrent mutations in key functional classes drive clonal hematopoiesis, on which additional variants can specify clinical presentation and accelerate progression. Lymphoblastic leukemias are frequently initiated by oncogenic fusions that block lymphoid maturation while, in concert with additional mutations, driving proliferation. The links between genetic aberrations and lymphoma patient outcomes have been clarified substantially through the clustering of genomic profiles. Finally, the addition of next-generation sequencing strategies to cytogenetics is refining risk stratification for plasma cell myeloma. In all categories, molecular diagnostics shed light on the unique mechanistic underpinnings of each individual malignancy, thereby empowering more rational, personalized care for these patients.
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Affiliation(s)
- Christopher B Hergott
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Annette S Kim
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.
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59
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MicroRNAs and the Diagnosis of Childhood Acute Lymphoblastic Leukemia: Systematic Review, Meta-Analysis and Re-Analysis with Novel Small RNA-Seq Tools. Cancers (Basel) 2022; 14:cancers14163976. [PMID: 36010971 PMCID: PMC9406077 DOI: 10.3390/cancers14163976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/14/2022] [Accepted: 08/15/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary MicroRNAs (miRNAs) have been under the spotlight for the last three decades. These non-coding RNAs seem to be dynamic regulators of mRNA stability and translation, in addition to interfering with transcription. Circulating miRNAs play a critical role in cell-to-cell interplay; therefore, they can serve as disease biomarkers. Meta-analysis of published data revealed that the CC genotype of rs4938723 in pri-miR-34b/c and the TT genotype of rs543412 in miR-100 confer protection against acute lymphoblastic leukemia (ALL) in children. Reanalysis of small RNA-seq data with novel tools identified significantly overexpressed members of the miR-128, miR-181, miR-130 and miR-17 families and significantly lower expression of miR-30, miR-24-2 and miR143~145 clusters, miR-574 and miR-618 in pediatric T-ALL cases compared with controls. Inconsistencies in methodology and study designs in most published material preclude reproducibility, and further cohort studies need to be conducted in order to empower novel tools, such as ALLSorts and RNAseqCNV. Abstract MicroRNAs (miRNAs) have been implicated in childhood acute lymphoblastic leukemia (ALL) pathogenesis. We performed a systematic review and meta-analysis of miRNA single-nucleotide polymorphisms (SNPs) in childhood ALL compared with healthy children, which revealed (i) that the CC genotype of rs4938723 in pri-miR-34b/c and the TT genotype of rs543412 in miR-100 confer protection against ALL occurrence in children; (ii) no significant association between rs2910164 genotypes in miR-146a and childhood ALL; and (iii) SNPs in DROSHA, miR-449b, miR-938, miR-3117 and miR-3689d-2 genes seem to be associated with susceptibility to B-ALL in childhood. A review of published literature on differential expression of miRNAs in children with ALL compared with controls revealed a significant upregulation of the miR-128 family, miR-130b, miR-155, miR-181 family, miR-210, miR-222, miR-363 and miR-708, along with significant downregulation of miR-143 and miR-148a, seem to have a definite role in childhood ALL development. MicroRNA signatures among childhood ALL subtypes, along with differential miRNA expression patterns between B-ALL and T-ALL cases, were scrutinized. With respect to T-ALL pediatric cases, we reanalyzed RNA-seq datasets with a robust and sensitive pipeline and confirmed the significant differential expression of hsa-miR-16-5p, hsa-miR-19b-3p, hsa-miR-92a-2-5p, hsa-miR-128-3p (ranked first), hsa-miR-130b-3p and -5p, hsa-miR-181a-5p, -2-3p and -3p, hsa-miR-181b-5p and -3p, hsa-miR-145-5p and hsa-miR-574-3p, as described in the literature, along with novel identified miRNAs.
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60
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Wen J, Zhou M, Shen Y, Long Y, Guo Y, Song L, Xiao J. Poor treatment responses were related to poor outcomes in pediatric B cell acute lymphoblastic leukemia with KMT2A rearrangements. BMC Cancer 2022; 22:859. [PMID: 35933338 PMCID: PMC9357304 DOI: 10.1186/s12885-022-09804-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 06/16/2022] [Indexed: 11/21/2022] Open
Abstract
Background The KMT2A gene, formerly named the MLL gene, is rearranged (KMT2Ar) in 70–75% of infants, 5–6% of children and 10–15% of adult patients with B cell acute lymphoblastic leukemia (B-ALL). The outcome after chemotherapy of pediatric cases remains poor, and only a few studies have investigated the clinical and laboratory features, treatment response and prognosis in Chinese populations. Methods A total of 48 B-ALL children with KMT2Ar were enrolled in the study, and clinical and laboratory data were collected and analyzed by age group. The relationship between prognosis and traditional risk factors and treatment response was investigated for these patients who received chemotherapy. Results The 48 enrolled patients included 28 males and 20 females; 18 (37.50%) or 30 (62.50%) patients were an age of < 12 m (infant B-ALL) or of > 12 m at onset. An initial WBC count of 300 × 109/L was detected in 7 (14.58%) patients; testicular leukemia (TL) or central nervous system involvement was found in 5 (10.41%) or 3 (6.25%) patients, respectively. Statistical differences were not found in the age groups of sex or initial WBC count, whereas TL was more common in the infant group (P < 0.05). 11q23 was detected in 18 patients; KMT2Ar was detected in 46 (95.83%) or 45 (93.75%) patients by FISH or multiplex RT–PCR technology, respectively; RNA-seq data were obtained for 18 patients, and 3 patients with uncommon KMT2Ar were identified. KMT2A-AFF1, KMT2A-MLLT3 and KMT2A-MLLT1 were the most common transcripts. Statistical differences were not found in treatment response by age groups, including dexamethasone induction, bone marrow (BM) smear status and minimal residual disease (MRD) level at different time points (TP), treatment-related mortality (TRM), or complete remission (CR) rate (P > 0.05); MRD levels monitored by FCM or PCR were unequal at the same TP. Four patients died of treatment, and TRM was 8.33%; 40 patients achieved CR, and the CR rate for the cohort was 83.33%. Seven patients quit, 15 patients relapsed, and the 5 yr cumulative relapse rate was 59.16 ± 9.16%; the 5 yr prospective EFS (pEFS) for patients who were included or excluded from the TRM group was 36.86 ± 8.48% or 40.84 ± 9.16%, respectively. Multivariate analysis for prognosis and hazard ratio was performed for 37 patients without TRM and revealed that an initial WBC count of > 300 × 109/L and a positive level of FCM-MRD were strongly related to a poor outcome for B-ALL patients with KMT2Ar (P < 0.05). Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09804-w.
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Affiliation(s)
- Jinquan Wen
- Department of Pediatric Hematology, Caihong Hospital of Xianyang, Xi'an, People's Republic of China
| | - Min Zhou
- Department of Hematology, Chengdu Women and Children's Central Hospital, Chengdu, People's Republic of China
| | - Yali Shen
- Department of Hematology, Children's Hospital of Chongqing Medical University, Yuzhong District, Zhongshan 2nd Road, Chongqing, 400014, People's Republic of China.,Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, People's Republic of China
| | - Yueting Long
- Department of Pediatrics, The Second Affiliated Hospital of Guizhou Medical University, Kaili, People's Republic of China
| | - Yuxia Guo
- Department of Hematology, Children's Hospital of Chongqing Medical University, Yuzhong District, Zhongshan 2nd Road, Chongqing, 400014, People's Republic of China.,National Clinical Research Center for Child Health and Disorders, Chongqing, People's Republic of China.,China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing, People's Republic of China
| | - Lin Song
- Department of Pharmacy, Children's Hospital of Chongqing Medical University, Chongqing, People's Republic of China.,Chongqing Key Laboratory of Pediatrics, Chongqing, People's Republic of China
| | - Jianwen Xiao
- Department of Hematology, Children's Hospital of Chongqing Medical University, Yuzhong District, Zhongshan 2nd Road, Chongqing, 400014, People's Republic of China.
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Wästerlid T, Cavelier L, Haferlach C, Konopleva M, Fröhling S, Östling P, Bullinger L, Fioretos T, Smedby KE. Application of precision medicine in clinical routine in haematology-Challenges and opportunities. J Intern Med 2022; 292:243-261. [PMID: 35599019 PMCID: PMC9546002 DOI: 10.1111/joim.13508] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Precision medicine is revolutionising patient care in cancer. As more knowledge is gained about the impact of specific genetic lesions on diagnosis, prognosis and treatment response, diagnostic precision and the possibility for optimal individual treatment choice have improved. Identification of hallmark genetic aberrations such as the BCR::ABL1 gene fusion in chronic myeloid leukaemia (CML) led to the rapid development of efficient targeted therapy and molecular follow-up, vastly improving survival for patients with CML during recent decades. The assessment of translocations, copy number changes and point mutations are crucial for the diagnosis and risk stratification of acute myeloid leukaemia and myelodysplastic syndromes. Still, the often heterogeneous and complex genetic landscape of haematological malignancies presents several challenges for the implementation of precision medicine to guide diagnosis, prognosis and treatment choice. This review provides an introduction and overview of the important molecular characteristics and methods currently applied in clinical practice to guide clinical decision making in haematological malignancies of myeloid and lymphoid origin. Further, experimental ways to guide the choice of targeted therapy for refractory patients are reviewed, such as functional precision medicine using drug profiling. An example of the use of pipeline studies where the treatment is chosen according to the molecular characteristics in rare solid malignancies is also provided. Finally, the future opportunities and remaining challenges of precision medicine in the real world are discussed.
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Affiliation(s)
- Tove Wästerlid
- Department of Medicine Solna, Division of Clinical Epidemiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Lucia Cavelier
- Department of Immunology, Genetics and Pathology, Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Marina Konopleva
- Department of Leukemia, M.D. Anderson Cancer Center, Houston, Texas, USA
| | - Stefan Fröhling
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Päivi Östling
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Lars Bullinger
- Department of Hematology, Oncology and Tumor Immunology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.,German Cancer Consortium (DKTK) Berlin Site, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Thoas Fioretos
- Division of Clinical Genetics, Department of Laboratory Medicine, Science for Life Laboratory, Lund University and Clinical Genomics Lund, Lund, Sweden
| | - Karin E Smedby
- Department of Medicine Solna, Division of Clinical Epidemiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
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Severgnini M, D’Angiò M, Bungaro S, Cazzaniga G, Cifola I, Fazio G. Conjoined Genes as Common Events in Childhood Acute Lymphoblastic Leukemia. Cancers (Basel) 2022; 14:cancers14143523. [PMID: 35884588 PMCID: PMC9315513 DOI: 10.3390/cancers14143523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 07/15/2022] [Indexed: 02/05/2023] Open
Abstract
Simple Summary Acute lymphoblastic leukemia (ALL) is the most frequent childhood cancer. In recent years, broad application of NGS technologies enabled the discovery of novel genomically defined ALL. In this study, as a proof-of-principle, we applied RNA-seq technology to comprehensively profile the transcriptional landscape of a collection of 10 childhood BCP-ALL cases, and performed a deep bioinformatics analysis including several publicly available datasets, in order to characterize their full spectrum of transcriptional events. The paired-end RNA sequencing of our BCP-ALL pediatric cohort revealed a total of 9001 raw fusion events, which, after filtering, resulted in 245 candidate fusions. Overall, 235 out of 245 events were intra-chromosomal fusions, among which 229 involved two contiguous or overlapping genes, also known as conjoined genes (CGs). Among them, we identified a subset of 14 CGs (6.1%) exclusively expressed in leukemic cases but neither in solid cancers nor in normal samples. These events could be suggestive of a novel mechanism of transcriptional regulation in childhood leukemia and may represent novel potential leukemia-specific biomarkers. Abstract Acute lymphoblastic leukemia (ALL) is the most frequent childhood cancer. For the last three decades, conventional cytogenetic and molecular approaches allowed the identification of genetic abnormalities having prognostic and therapeutic relevance. Although the current cure rate in pediatric B cell acute leukemia is approximately 90%, it remains one of the leading causes of mortality in childhood. Furthermore, in the contemporary protocols, chemotherapy intensity was raised to the maximal levels of tolerability, and further improvements in the outcome will depend on the characterization and reclassification of the disease, as well as on the development of new targeted drugs. The recent technological advances in genome-wide profiling techniques have allowed the exploration of the molecular heterogeneity of this disease, even though some potentially interesting biomarkers such as conjoined genes have not been deeply investigated yet. In the present study, we performed the transcriptome sequencing (RNA-seq) of 10 pediatric B cell precursor (BCP)-ALL cases with different risk (four standard- and six high-risk patients) enrolled in the Italian AIEOP-BFM ALL2000 protocol, in order to characterize the full spectrum of transcriptional events and to identify novel potential genetic mechanisms sustaining their different early response to therapy. Total RNA was extracted from primary leukemic blasts and RNA-seq was performed by Illumina technology. Bioinformatics analysis focused on fusion transcripts, originated from either inter- or intra-chromosomal structural rearrangements. Starting from a raw list of 9001 candidate events, by employing a custom-made bioinformatics pipeline, we obtained a short list of 245 candidate fusions. Among them, 10 events were compatible with chromosomal translocations. Strikingly, 235/245 events were intra-chromosomal fusions, 229 of which involved two contiguous or overlapping genes, resulting in the so-called conjoined genes (CGs). To explore the specificity of these events in leukemia, we performed an extensive bioinformatics meta-analysis and evaluated the presence of the fusions identified in our 10 BCP-ALL cohort in several other publicly available RNA-seq datasets, including leukemic, solid tumor and normal sample collections. Overall, 14/229 (6.1%) CGs were found to be exclusively expressed in leukemic cases, suggesting an association between CGs and leukemia. Moreover, CGs were found to be common events both in standard- and high-risk BCP-ALL patients and it might be suggestive of a novel potential transcriptional regulation mechanism active in leukemic cells.
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Affiliation(s)
- Marco Severgnini
- Istituto di Tecnologie Biomediche, Consiglio Nazionale delle Ricerche, 20054 Milano, Italy; (M.S.); (I.C.)
| | - Mariella D’Angiò
- School of Medicine and Surgery, Università degli Studi di Milano Bicocca, 20126 Milano, Italy;
- Tettamanti Research Center, University of Milan Bicocca, 20900 Monza, Italy;
| | - Silvia Bungaro
- Ospedale San Gerardo, Fondazione Monza e Brianza per il Bambino e la sua Mamma (MBBM), 20900 Monza, Italy;
| | - Giovanni Cazzaniga
- School of Medicine and Surgery, Università degli Studi di Milano Bicocca, 20126 Milano, Italy;
- Tettamanti Research Center, University of Milan Bicocca, 20900 Monza, Italy;
- Correspondence: ; Tel.: +39-039-233-3661
| | - Ingrid Cifola
- Istituto di Tecnologie Biomediche, Consiglio Nazionale delle Ricerche, 20054 Milano, Italy; (M.S.); (I.C.)
| | - Grazia Fazio
- Tettamanti Research Center, University of Milan Bicocca, 20900 Monza, Italy;
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Downes CEJ, McClure BJ, McDougal DP, Heatley SL, Bruning JB, Thomas D, Yeung DT, White DL. JAK2 Alterations in Acute Lymphoblastic Leukemia: Molecular Insights for Superior Precision Medicine Strategies. Front Cell Dev Biol 2022; 10:942053. [PMID: 35903543 PMCID: PMC9315936 DOI: 10.3389/fcell.2022.942053] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, arising from immature lymphocytes that show uncontrolled proliferation and arrested differentiation. Genomic alterations affecting Janus kinase 2 (JAK2) correlate with some of the poorest outcomes within the Philadelphia-like subtype of ALL. Given the success of kinase inhibitors in the treatment of chronic myeloid leukemia, the discovery of activating JAK2 point mutations and JAK2 fusion genes in ALL, was a breakthrough for potential targeted therapies. However, the molecular mechanisms by which these alterations activate JAK2 and promote downstream signaling is poorly understood. Furthermore, as clinical data regarding the limitations of approved JAK inhibitors in myeloproliferative disorders matures, there is a growing awareness of the need for alternative precision medicine approaches for specific JAK2 lesions. This review focuses on the molecular mechanisms behind ALL-associated JAK2 mutations and JAK2 fusion genes, known and potential causes of JAK-inhibitor resistance, and how JAK2 alterations could be targeted using alternative and novel rationally designed therapies to guide precision medicine approaches for these high-risk subtypes of ALL.
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Affiliation(s)
- Charlotte EJ. Downes
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
- School of Biological Sciences, Faculty of Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Barbara J. McClure
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Daniel P. McDougal
- School of Biological Sciences, Faculty of Sciences, University of Adelaide, Adelaide, SA, Australia
- Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - Susan L. Heatley
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Australian and New Zealand Children’s Oncology Group (ANZCHOG), Clayton, VIC, Australia
| | - John B. Bruning
- School of Biological Sciences, Faculty of Sciences, University of Adelaide, Adelaide, SA, Australia
- Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - Daniel Thomas
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - David T. Yeung
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, SA, Australia
| | - Deborah L. White
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
- School of Biological Sciences, Faculty of Sciences, University of Adelaide, Adelaide, SA, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Australian and New Zealand Children’s Oncology Group (ANZCHOG), Clayton, VIC, Australia
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Li J, Miao B, Wang S, Dong W, Xu H, Si C, Wang W, Duan S, Lou J, Bao Z, Zeng H, Yang Z, Cheng W, Zhao F, Zeng J, Liu XS, Wu R, Shen Y, Chen Z, Chen S, Wang M. Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization. Brief Bioinform 2022; 23:6620876. [PMID: 35788820 DOI: 10.1093/bib/bbac261] [Citation(s) in RCA: 83] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 05/18/2022] [Accepted: 05/31/2022] [Indexed: 11/12/2022] Open
Abstract
Complex biomedical data generated during clinical, omics and mechanism-based experiments have increasingly been exploited through cloud- and visualization-based data mining techniques. However, the scientific community still lacks an easy-to-use web service for the comprehensive visualization of biomedical data, particularly high-quality and publication-ready graphics that allow easy scaling and updatability according to user demands. Therefore, we propose a community-driven modern web service, Hiplot (https://hiplot.org), with concise and top-quality data visualization applications for the life sciences and biomedical fields. This web service permits users to conveniently and interactively complete a few specialized visualization tasks that previously could only be conducted by senior bioinformatics or biostatistics researchers. It covers most of the daily demands of biomedical researchers with its equipped 240+ biomedical data visualization functions, involving basic statistics, multi-omics, regression, clustering, dimensional reduction, meta-analysis, survival analysis, risk modelling, etc. Moreover, to improve the efficiency in use and development of plugins, we introduced some core advantages on the client-/server-side of the website, such as spreadsheet-based data importing, cross-platform command-line controller (Hctl), multi-user plumber workers, JavaScript Object Notation-based plugin system, easy data/parameters, results and errors reproduction and real-time updates mode. Meanwhile, using demo/real data sets and benchmark tests, we explored statistical parameters, cancer genomic landscapes, disease risk factors and the performance of website based on selected native plugins. The statistics of visits and user numbers could further reflect the potential impact of this web service on relevant fields. Thus, researchers devoted to life and data sciences would benefit from this emerging and free web service.
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Affiliation(s)
- Jianfeng Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.,School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Benben Miao
- College of Fisheries, Guangdong Ocean University, Zhanjiang, Guangdong, China
| | - Shixiang Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Wei Dong
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Houshi Xu
- Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenchen Si
- Department of Histology, Embryology, Genetics and Developmental Biology, Shanghai Key Laboratory for Reproductive Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Wang
- Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Songqi Duan
- College of Food Science, Sichuan Agricultural University, Yaan, China
| | - Jiacheng Lou
- Department of Neurosurgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Zhiwei Bao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hailuan Zeng
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute for Metabolic Diseases, and Human Phenome Institute, Fudan University, Shanghai, China
| | - Zengzeng Yang
- Qinghai Academy of Animal and Veterinary Science, State Key Laboratory of Plateau Ecology and Agriculture in the Three River Head Waters Region, Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland Qinghai University, Xining, China
| | - Wenyan Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fei Zhao
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Jianming Zeng
- Faculty of Health Sciences, University of Macau, Taipa, Macau, China
| | - Xue-Song Liu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Renxie Wu
- College of Fisheries, Guangdong Ocean University, Zhanjiang, Guangdong, China
| | - Yang Shen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhu Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Saijuan Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mingjie Wang
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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A typical bedside-to-bench investigation of leukemogenic driver MEF2D fusion reveals new targeted therapy in B-cell acute lymphoblastic leukemia. BLOOD SCIENCE 2022; 4:161-163. [DOI: 10.1097/bs9.0000000000000126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 06/06/2022] [Indexed: 11/26/2022] Open
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66
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Improvements in allogeneic hematopoietic cell transplantation outcomes for adults with ALL over the past 3 decades. Blood Adv 2022; 6:4558-4569. [PMID: 35737870 PMCID: PMC9636313 DOI: 10.1182/bloodadvances.2022008032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/06/2022] [Indexed: 11/20/2022] Open
Abstract
Allogeneic hematopoietic cell transplantation (allo-HCT) is a promising treatment for adult acute lymphoblastic leukemia (ALL), an intractable hematological malignancy. The trends in allo-HCT outcomes over the past 30 years were examined to verify the efficacy of evolving treatment methods and to identify further challenges. We analyzed data from a registry database that included 8467 adult ALL patients who underwent their first allo-HCT between 1990 and 2019. The period was divided into three 10-year intervals for analysis. Five-year overall survival improved from 48.2% to 70.2% in the first complete remission (CR1), from 25.6% to 44.1% in subsequent CR, and from 10.0% to 22.7% in non-CR. Nonrelapse mortality improved over the 3 decades in each disease stage. However, the relapse rate only improved in CR1 every decade (26.3% to 15.9% in CR1, 33.4% to 32.8% in subsequent CR, and 53.6% to 54.8% in non-CR). Although there were continual improvements in adjusted survival for Philadelphia chromosome (Ph)-positive patients, the improvement was inadequate for Ph− patients with t(4;11), t(8;14), t(14;18), or hypodiploidy. Allo-HCT outcomes for adults with ALL have improved over the past 30 years. Improved outcomes in the future will require more effective prevention of relapse in patients with ALL not in CR1 and in those with high-risk chromosomal abnormalities.
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67
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Wang YZ, Qin YZ, Chang Y, Yuan XY, Chen WM, He LL, Hao L, Shi WH, Jiang Q, Jiang H, Huang XJ, Liu YR. Immunophenotypic characteristics of ZNF384 rearrangement compared with BCR-ABL1, KMT2A rearrangement, and other adult B-cell precursor acute lymphoblastic leukemia. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2022; 102:360-369. [PMID: 35735203 DOI: 10.1002/cyto.b.22086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 04/22/2022] [Accepted: 06/08/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND ZNF384 rearrangement has been recently identified as a new subtype of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). However, comprehensive studies clarifying immunophenotypic features and discriminating them from non-ZNF384 in adult BCP-ALL remain scarce to date. METHODS Flow cytometric assessments were retrospectively performed in 43 patients with ZNF384 rearrangement, 45 with BCR-ABL1, 29 with KMT2A rearrangement and 44 with other BCP-ALL in the analysis cohort. RESULTS CD33- and CD13-positive frequencies were significantly higher in patients with ZNF384 rearrangement than in those with non-ZNF384; however, no significant difference was observed in CD10- and CD123-positive frequencies. Analysis of antigen-positive cell proportion and median fluorescence intensity (MFI) further indicated that patients with ZNF384 rearrangement had significantly lower CD10 and higher CD33, CD13, and CD123 proportion and MFI. However, compared with KMT2A rearrangement, the CD10 expression in patients with ZNF384 rearrangement was higher, with the median percentage and MFI of 36.16 (3.63-94.79)% versus 4.53 (0.03-21.00)%, and 4.50 (0.86-32.26) versus 2.06 (0.87-4.04), respectively (p < 0.0001). Furthermore, compared with BCR-ABL1 and other BCP-ALL, ZNF384 rearrangement had significantly higher CD33 and CD13 proportion and MFI (p < 0.0001 and p < 0.05, respectively). In addition, higher CD123 proportion and MFI in ZNF384 rearrangement than those in the other three groups were reported for the first time (p < 0.01). A flow cytometry scoring system, including CD10%, CD33MFI, CD13%, and CD123MFI, was proposed and verified to predict ZNF384 rearrangement with high sensitivity and specificity, that is, 76.74% and 91.53% in the analysis and 87.50% and 91.30% in the validation cohort. CONCLUSIONS The multiparameter immunophenotypic scoring system could suggest ZNF384 rearrangement.
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Affiliation(s)
- Ya-Zhe Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Ya-Zhen Qin
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yan Chang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Ying Yuan
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Wen-Min Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Ling-Ling He
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Le Hao
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Wei-Hua Shi
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Qian Jiang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Hao Jiang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yan-Rong Liu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Beijing, China
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68
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Enhancer retargeting of CDX2 and UBTF::ATXN7L3 define a subtype of high-risk B-progenitor acute lymphoblastic leukemia. Blood 2022; 139:3519-3531. [PMID: 35192684 PMCID: PMC9203703 DOI: 10.1182/blood.2022015444] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/12/2022] [Indexed: 01/14/2023] Open
Abstract
Transcriptome sequencing has identified multiple subtypes of B-progenitor acute lymphoblastic leukemia (B-ALL) of prognostic significance, but a minority of cases lack a known genetic driver. Here, we used integrated whole-genome (WGS) and -transcriptome sequencing (RNA-seq), enhancer mapping, and chromatin topology analysis to identify previously unrecognized genomic drivers in B-ALL. Newly diagnosed (n = 3221) and relapsed (n = 177) B-ALL cases with tumor RNA-seq were studied. WGS was performed to detect mutations, structural variants, and copy number alterations. Integrated analysis of histone 3 lysine 27 acetylation and chromatin looping was performed using HiChIP. We identified a subset of 17 newly diagnosed and 5 relapsed B-ALL cases with a distinct gene expression profile and 2 universal and unique genomic alterations resulting from aberrant recombination-activating gene activation: a focal deletion downstream of PAN3 at 13q12.2 resulting in CDX2 deregulation by the PAN3 enhancer and a focal deletion of exons 18-21 of UBTF at 17q21.31 resulting in a chimeric fusion, UBTF::ATXN7L3. A subset of cases also had rearrangement and increased expression of the PAX5 gene, which is otherwise uncommon in B-ALL. Patients were more commonly female and young adult with median age 35 (range,12-70 years). The immunophenotype was characterized by CD10 negativity and immunoglobulin M positivity. Among 16 patients with known clinical response, 9 (56.3%) had high-risk features including relapse (n = 4) or minimal residual disease >1% at the end of remission induction (n = 5). CDX2-deregulated, UBTF::ATXN7L3 rearranged (CDX2/UBTF) B-ALL is a high-risk subtype of leukemia in young adults for which novel therapeutic approaches are required.
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69
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RNAseqCNV: analysis of large-scale copy number variations from RNA-seq data. Leukemia 2022; 36:1492-1498. [PMID: 35351983 PMCID: PMC9177690 DOI: 10.1038/s41375-022-01547-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 03/03/2022] [Accepted: 03/11/2022] [Indexed: 11/16/2022]
Abstract
Transcriptome sequencing (RNA-seq) is widely used to detect gene rearrangements and quantitate gene expression in acute lymphoblastic leukemia (ALL), but its utility and accuracy in identifying copy number variations (CNVs) has not been well described. CNV information inferred from RNA-seq can be highly informative to guide disease classification and risk stratification in ALL due to the high incidence of aneuploid subtypes within this disease. Here we describe RNAseqCNV, a method to detect large scale CNVs from RNA-seq data. We used models based on normalized gene expression and minor allele frequency to classify arm level CNVs with high accuracy in ALL (99.1% overall and 98.3% for non-diploid chromosome arms, respectively), and the models were further validated with excellent performance in acute myeloid leukemia (accuracy 99.8% overall and 99.4% for non-diploid chromosome arms). RNAseqCNV outperforms alternative RNA-seq based algorithms in calling CNVs in the ALL dataset, especially in samples with a high proportion of CNVs. The CNV calls were highly concordant with DNA-based CNV results and more reliable than conventional cytogenetic-based karyotypes. RNAseqCNV provides a method to robustly identify copy number alterations in the absence of DNA-based analyses, further enhancing the utility of RNA-seq to classify ALL subtype.
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70
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Mäkinen VP, Rehn J, Breen J, Yeung D, White DL. Multi-Cohort Transcriptomic Subtyping of B-Cell Acute Lymphoblastic Leukemia. Int J Mol Sci 2022; 23:ijms23094574. [PMID: 35562965 PMCID: PMC9099612 DOI: 10.3390/ijms23094574] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/13/2022] [Accepted: 04/19/2022] [Indexed: 11/17/2022] Open
Abstract
RNA sequencing provides a snapshot of the functional consequences of genomic lesions that drive acute lymphoblastic leukemia (ALL). The aims of this study were to elucidate diagnostic associations (via machine learning) between mRNA-seq profiles, independently verify ALL lesions and develop easy-to-interpret transcriptome-wide biomarkers for ALL subtyping in the clinical setting. A training dataset of 1279 ALL patients from six North American cohorts was used for developing machine learning models. Results were validated in 767 patients from Australia with a quality control dataset across 31 tissues from 1160 non-ALL donors. A novel batch correction method was introduced and applied to adjust for cohort differences. Out of 18,503 genes with usable expression, 11,830 (64%) were confounded by cohort effects and excluded. Six ALL subtypes (ETV6::RUNX1, KMT2A, DUX4, PAX5 P80R, TCF3::PBX1, ZNF384) that covered 32% of patients were robustly detected by mRNA-seq (positive predictive value ≥ 87%). Five other frequent subtypes (CRLF2, hypodiploid, hyperdiploid, PAX5 alterations and Ph-positive) were distinguishable in 40% of patients at lower accuracy (52% ≤ positive predictive value ≤ 73%). Based on these findings, we introduce the Allspice R package to predict ALL subtypes and driver genes from unadjusted mRNA-seq read counts as encountered in real-world settings. Two examples of Allspice applied to previously unseen ALL patient samples with atypical lesions are included.
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Affiliation(s)
- Ville-Petteri Mäkinen
- Computational and Systems Biology Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
- Australian Centre for Precision Health, UniSA Clinical & Health Sciences, University of South Australia, Adelaide, SA 5000, Australia
- Computational Medicine, Faculty of Medicine, University of Oulu, FI-90014 Oulu, Finland
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, FI-90014 Oulu, Finland
- Correspondence: ; Tel.: +61-8-8128-4054
| | - Jacqueline Rehn
- Blood Cancer Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia; (J.R.); (D.Y.); (D.L.W.)
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia;
| | - James Breen
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia;
- South Australian Genomics Centre, South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5005, Australia
| | - David Yeung
- Blood Cancer Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia; (J.R.); (D.Y.); (D.L.W.)
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia;
- Australian and New Zealand Children’s Oncology Group, Clayton, VIC 3168, Australia
- Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, SA 5000, Australia
| | - Deborah L. White
- Blood Cancer Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia; (J.R.); (D.Y.); (D.L.W.)
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia;
- Australian and New Zealand Children’s Oncology Group, Clayton, VIC 3168, Australia
- Faculty of Sciences, University of Adelaide, Adelaide, SA 5005, Australia
- Australian Genomics Health Alliance, Parkville, VIC 3052, Australia
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Bartsch L, Schroeder MP, Hänzelmann S, Bastian L, Lázaro-Navarro J, Schlee C, Tanchez JO, Schulze V, Isaakidis K, Rieger MA, Gökbuget N, Eckert C, Serve H, Horstmann M, Schrappe M, Brüggemann M, Baldus CD, Neumann M. An alternative CYB5A transcript is expressed in aneuploid ALL and enriched in relapse. BMC Genom Data 2022; 23:30. [PMID: 35436854 PMCID: PMC9014596 DOI: 10.1186/s12863-022-01041-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 01/25/2022] [Indexed: 11/12/2022] Open
Abstract
Background B-cell precursor acute lymphoblastic leukemia (BCP-ALL) is a genetically heterogenous malignancy with poor prognosis in relapsed adult patients. The genetic basis for relapse in aneuploid subtypes such as near haploid (NH) and high hyperdiploid (HeH) BCP-ALL is only poorly understood. Pathogenic genetic alterations remain to be identified. To this end, we investigated the dynamics of genetic alterations in a matched initial diagnosis-relapse (ID-REL) BCP-ALL cohort. Here, we firstly report the identification of the novel genetic alteration CYB5Aalt, an alternative transcript of CYB5A, in two independent cohorts. Methods We identified CYB5alt in the RNAseq-analysis of a matched ID-REL BCP-ALL cohort with 50 patients and quantified its expression in various molecular BCP-ALL subtypes. Findings were validated in an independent cohort of 140 first diagnosis samples from adult BCP-ALL patients. Derived from patient material, the alternative open reading frame of CYB5Aalt was cloned (pCYB5Aalt) and pCYB5Aalt or the empty vector were stably overexpressed in NALM-6 cells. RNA sequencing was performed of pCYB5Aalt clones and empty vector controls followed by differential expression analysis, gene set enrichment analysis and complementing cell death and viability assays to determine functional implications of CYB5Aalt. Results RNAseq data analysis revealed non-canonical exon usage of CYB5Aalt starting from a previously undescribed transcription start site. CYB5Aalt expression was increased in relapsed BCP-ALL and its occurrence was specific towards the shared gene expression cluster of NH and HeH BCP-ALL in independent cohorts. Overexpression of pCYB5Aalt in NALM-6 cells induced a distinct transcriptional program compared to empty vector controls with downregulation of pathways related to reported functions of CYB5A wildtype. Interestingly, CYB5A wildtype expression was decreased in CYB5Aalt samples in silico and in vitro. Additionally, pCYB5Aalt NALM-6 elicited a more resistant drug response. Conclusions Across all age groups, CYB5Aalt was the most frequent secondary genetic event in relapsed NH and HeH BCP-ALL. In addition to its high subgroup specificity, CYB5Aalt is a novel candidate to be potentially implicated in therapy resistance in NH and HeH BCP-ALL. This is underlined by overexpressing CYB5Aalt providing first evidence for a functional role in BCL2-mediated apoptosis. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-022-01041-1.
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Zhang J, Xu XJ, Liu L, Song H, Shen H, Xu W, Zhao F, Liang J, Liao C, Wang Y, Xia T, Cao S, Tang Y, Qin J, Shen D. Clinical and Genetic Characteristics of IKZF1 Mutation in Chinese Children With B-Cell Acute Lymphoblastic Leukemia. Front Genet 2022; 13:822832. [PMID: 35419036 PMCID: PMC9000999 DOI: 10.3389/fgene.2022.822832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 02/22/2022] [Indexed: 11/21/2022] Open
Abstract
Acute lymphoblastic leukemia (ALL) is a malignancy associated with altered lymphoid precursor hyperplasia and accompanied with different genetic mutations. Few studies have been reported on the association between gene mutations and clinical features of IKZF1 mutation in children with B-cell ALL (B-ALL). We investigated clinical and genetic characteristics in 200 newly diagnosed pediatric B-ALL through multiplex ligation-dependent probe amplification (MLPA) and targeted next-generation sequencing (NGS) method. We found that IKZF1 mutations, including large segment deletions, small insertions or deletions (InDels) and single nucleotide variations (SNVs), were detected in 22 patients with a positive mutation rate of 11.0%. IKZF1 mutation was significantly associated with higher WBC count (19.38 × 109/L vs. 5.80 × 109/L, p = 0.002). Compared with IKZF1 wild-type cases, a higher frequency of IL7R gene mutation was discovered in IKZF1 mutant cases (9.1% vs. 0.0%, p = 0.012). Patients with IKZF1 mutation were less sensitive to glucocorticoid induction than patients without IKZF1 mutation (63.6% vs. 9.0%, p < 0.001). On the 15th day of induction, minimal residual disease (MRD) > 10−3 level were higher in IKZF1 mutant patients than wild-type patients (45.5% vs. 22.3%, p = 0.018). In conclusion, our study reveals the association between genetic mutations and clinical features in Chinese children with B-ALL, which might contribute to molecular classification, risk stratification and prognosis evaluation, and provide new ideas for targeted therapy in ALL.
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Affiliation(s)
- Jingying Zhang
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Xiao-Jun Xu
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Lixia Liu
- Acornmed Biotechnology Co., Ltd., Tianjin, China
| | - Hua Song
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Heping Shen
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Weiqun Xu
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Fenying Zhao
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Juan Liang
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Chan Liao
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Yan Wang
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Tian Xia
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Shanbo Cao
- Acornmed Biotechnology Co., Ltd., Tianjin, China
| | - Yongmin Tang
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
| | - Jiayue Qin
- Acornmed Biotechnology Co., Ltd., Tianjin, China
| | - Diying Shen
- Division/Center of Pediatric Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.,The Pediatric Leukemia Diagnostic and Therapeutic Technology Research Center of Zhejiang Province, Hangzhou, China.,National Clinical Research Center for Child Health, Hangzhou, China
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Transcriptome-wide subtyping of pediatric and adult T cell acute lymphoblastic leukemia in an international study of 707 cases. Proc Natl Acad Sci U S A 2022; 119:e2120787119. [PMID: 35385357 PMCID: PMC9169777 DOI: 10.1073/pnas.2120787119] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
We provide transcriptomic insights into differences between pediatric and adult T cell acute lymphoblastic leukemia (T-ALL) patients through an international collaborative effort integrating RNA-sequencing data of 707 patients. Ten subtypes were identified, each characterized by distinct gene mutation profiles and dysregulated expression signatures of leukemogenic factors, and associated with T cell development stages. Adult T-ALL tends to have characteristics of early T cell precursor ALL, mostly corresponding to the mixed phenotype acute leukemia, whereas pediatric T-ALL shows a wide spectrum of aberrant molecular features, from early T cell precursor to mature T cell compartments. Our findings have important implications for disease mechanism of T-ALL that differs between pediatric and adult patients, facilitating further refined targeted therapy. T cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematological malignancy of T cell progenitors, known to be a heterogeneous disease in pediatric and adult patients. Here we attempted to better understand the disease at the molecular level based on the transcriptomic landscape of 707 T-ALL patients (510 pediatric, 190 adult patients, and 7 with unknown age; 599 from published cohorts and 108 newly investigated). Leveraging the information of gene expression enabled us to identify 10 subtypes (G1–G10), including the previously undescribed one characterized by GATA3 mutations, with GATA3R276Q capable of affecting lymphocyte development in zebrafish. Through associating with T cell differentiation stages, we found that high expression of LYL1/LMO2/SPI1/HOXA (G1–G6) might represent the early T cell progenitor, pro/precortical/cortical stage with a relatively high age of disease onset, and lymphoblasts with TLX3/TLX1 high expression (G7–G8) could be blocked at the cortical/postcortical stage, while those with high expression of NKX2-1/TAL1/LMO1 (G9–G10) might correspond to cortical/postcortical/mature stages of T cell development. Notably, adult patients harbored more cooperative mutations among epigenetic regulators, and genes involved in JAK-STAT and RAS signaling pathways, with 44% of patients aged 40 y or above in G1 bearing DNMT3A/IDH2 mutations usually seen in acute myeloid leukemia, suggesting the nature of mixed phenotype acute leukemia.
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74
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Zhang M, Qi T, Yang L, Kolarich D, Heisterkamp N. Multi-Faceted Effects of ST6Gal1 Expression on Precursor B-Lineage Acute Lymphoblastic Leukemia. Front Oncol 2022; 12:828041. [PMID: 35371997 PMCID: PMC8967368 DOI: 10.3389/fonc.2022.828041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 02/07/2022] [Indexed: 12/20/2022] Open
Abstract
Normal early human B-cell development from lymphoid progenitors in the bone marrow depends on instructions from elements in that microenvironment that include stromal cells and factors secreted by these cells including the extracellular matrix. Glycosylation is thought to play a key role in such interactions. The sialyltransferase ST6Gal1, with high expression in specific hematopoietic cell types, is the only enzyme thought to catalyze the terminal addition of sialic acids in an α2-6-linkage to galactose on N-glycans in such cells. Expression of ST6Gal1 increases as B cells undergo normal B-lineage differentiation. B-cell precursor acute lymphoblastic leukemias (BCP-ALLs) with differentiation arrest at various stages of early B-cell development have widely different expression levels of ST6GAL1 at diagnosis, with high ST6Gal1 in some but not in other relapses. We analyzed the consequences of increasing ST6Gal1 expression in a diagnosis sample using lentiviral transduction. NSG mice transplanted with these BCP-ALL cells were monitored for survival. Compared to mice transplanted with leukemia cells expressing original ST6Gal1 levels, increased ST6Gal1 expression was associated with significantly reduced survival. A cohort of mice was also treated for 7 weeks with vincristine chemotherapy to induce remission and then allowed to relapse. Upon vincristine discontinuation, relapse was detected in both groups, but mice transplanted with ST6Gal1 overexpressing BCP-ALL cells had an increased leukemia burden and shorter survival than controls. The BCP-ALL cells with higher ST6Gal1 were more resistant to long-term vincristine treatment in an ex vivo tissue co-culture model with OP9 bone marrow stromal cells. Gene expression analysis using RNA-seq showed a surprisingly large number of genes with significantly differential expression, of which approximately 60% increased mRNAs, in the ST6Gal1 overexpressing BCP-ALL cells. Pathways significantly downregulated included those involved in immune cell migration. However, ST6Gal1 knockdown cells also showed increased insensitivity to chemotherapy. Our combined results point to a context-dependent effect of ST6Gal1 expression on BCP-ALL cells, which is discussed within the framework of its activity as an enzyme with many N-linked glycoprotein substrates.
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Affiliation(s)
- Mingfeng Zhang
- Department of Systems Biology, Beckman Research Institute City of Hope, Duarte, CA, United States
| | - Tong Qi
- Department of Systems Biology, Beckman Research Institute City of Hope, Duarte, CA, United States
| | - Lu Yang
- Department of Systems Biology, Beckman Research Institute City of Hope, Duarte, CA, United States
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia.,Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics, Griffith University, Gold Coast, QLD, Australia
| | - Nora Heisterkamp
- Department of Systems Biology, Beckman Research Institute City of Hope, Duarte, CA, United States
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75
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Tamai M, Kasai S, Akahane K, Thu TN, Kagami K, Komatsu C, Abe M, Watanabe A, Goi K, Miyake K, Inaba T, Takita J, Goto H, Minegishi M, Iwamoto S, Sugita K, Inukai T. Glucocorticoid receptor gene mutations confer glucocorticoid resistance in B-cell precursor acute lymphoblastic leukemia. J Steroid Biochem Mol Biol 2022; 218:106068. [PMID: 35124168 DOI: 10.1016/j.jsbmb.2022.106068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 01/05/2022] [Accepted: 02/01/2022] [Indexed: 10/19/2022]
Abstract
Glucocorticoid (GC) is a key drug in the treatment of B-cell precursor acute lymphoblastic leukemia (BCP-ALL), and the initial GC response is an important prognostic factor. GC receptors play an essential role in GC sensitivity, and somatic mutations of the GC receptor gene, NR3C1, are reportedly identified in some BCP-ALL cases, particularly at relapse. Moreover, associations of somatic mutations of the CREB-binding protein (CREBBP) and Wolf-Hirschhorn syndrome candidate 1 (WHSC1) genes with the GC-resistance of ALL have been suggested. However, the significance of these mutations in the GC sensitivity of BCP-ALL remains to be clarified in the intrinsic genes. In the present study, we sequenced NR3C1, WHSC1, and CREBBP genes in 99 BCP-ALL and 22 T-ALL cell lines (32 and 67 cell lines were known to be established at diagnosis and at relapse, respectively), and detected their mutations in 19 (2 cell lines at diagnosis and 15 cell lines at relapse), 26 (6 and 15), and 38 (11 and 15) cell lines, respectively. Of note, 14 BCP-ALL cell lines with the NR3C1 mutations were significantly more resistant to GC than those without mutations. In contrast, WHSC1 and CREBBP mutations were not associated with GC resistance. However, among the NR3C1 unmutated BCP-ALL cell lines, WHSC1 mutations tended to be associated with GC resistance and lower NR3C1 gene expression. Finally, we successfully established GC-resistant sublines of the GC-sensitive BCP-ALL cell line (697) by disrupting ligand binding and DNA binding domains of the NR3C1 gene using the CRISPR/Cas9 system. These observations demonstrated that somatic mutations of the NR3C1 gene, and possibly the WHSC1 gene, confer GC resistance in BCP-ALL.
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Affiliation(s)
- Minori Tamai
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan.
| | - Shin Kasai
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Koshi Akahane
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Thao Nguyen Thu
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Keiko Kagami
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Chiaki Komatsu
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Masako Abe
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Atsushi Watanabe
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Kumiko Goi
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Kunio Miyake
- Department of Health Sciences, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Toshiya Inaba
- Department of Molecular Oncology, Research Institute of Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Junko Takita
- Department of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiroaki Goto
- Hematology/Oncology and Regenerative Medicine, Kanagawa Children's Medical Center, Kanagawa, Japan
| | | | - Shotaro Iwamoto
- Department of Pediatrics, Mie University Graduate School of Medicine, Tsu, Japan
| | - Kanji Sugita
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Takeshi Inukai
- Department of Pediatrics, School of Medicine, University of Yamanashi, Yamanashi, Japan
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76
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Monitoring of Leukemia Clones in B-cell Acute Lymphoblastic Leukemia at Diagnosis and During Treatment by Single-cell DNA Amplicon Sequencing. Hemasphere 2022; 6:e700. [PMID: 35291210 PMCID: PMC8916209 DOI: 10.1097/hs9.0000000000000700] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 02/07/2022] [Indexed: 11/25/2022] Open
Abstract
Acute lymphoblastic leukemia (ALL) is characterized by the presence of chromosomal changes, including numerical changes, translocations, and deletions, which are often associated with additional single-nucleotide mutations. In this study, we used single cell–targeted DNA sequencing to evaluate the clonal heterogeneity of B-ALL at diagnosis and during chemotherapy treatment. We designed a custom DNA amplicon library targeting mutational hotspot regions (in 110 genes) present in ALL, and we measured the presence of mutations and small insertions/deletions (indels) in bone marrow or blood samples from 12 B-ALL patients, with a median of 7973 cells per sample. Nine of the 12 cases showed at least 1 subclonal mutation, of which cases with PAX5 alterations or high hyperdiploidy (with intermediate to good prognosis) showed a high number of subclones (1 to 7) at diagnosis, defined by a variety of mutations in the JAK/STAT, RAS, or FLT3 signaling pathways. Cases with RAS pathway mutations had multiple mutations in FLT3, NRAS, KRAS, or BRAF in various clones. For those cases where we detected multiple mutational clones at diagnosis, we also studied blood samples during the first weeks of chemotherapy treatment. The leukemia clones disappeared during treatment with various kinetics, and few cells with mutations were easily detectable, even at low frequency (<0.1%). Our data illustrate that about half of the B-ALL cases show >2 subclones at diagnosis and that even very rare mutant cells can be detected at diagnosis or during treatment by single cell–targeted DNA sequencing.
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77
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Watt SM, Hua P, Roberts I. Increasing Complexity of Molecular Landscapes in Human Hematopoietic Stem and Progenitor Cells during Development and Aging. Int J Mol Sci 2022; 23:ijms23073675. [PMID: 35409034 PMCID: PMC8999121 DOI: 10.3390/ijms23073675] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/21/2022] [Accepted: 03/23/2022] [Indexed: 02/05/2023] Open
Abstract
The past five decades have seen significant progress in our understanding of human hematopoiesis. This has in part been due to the unprecedented development of advanced technologies, which have allowed the identification and characterization of rare subsets of human hematopoietic stem and progenitor cells and their lineage trajectories from embryonic through to adult life. Additionally, surrogate in vitro and in vivo models, although not fully recapitulating human hematopoiesis, have spurred on these scientific advances. These approaches have heightened our knowledge of hematological disorders and diseases and have led to their improved diagnosis and therapies. Here, we review human hematopoiesis at each end of the age spectrum, during embryonic and fetal development and on aging, providing exemplars of recent progress in deciphering the increasingly complex cellular and molecular hematopoietic landscapes in health and disease. This review concludes by highlighting links between chronic inflammation and metabolic and epigenetic changes associated with aging and in the development of clonal hematopoiesis.
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Affiliation(s)
- Suzanne M. Watt
- Stem Cell Research, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9BQ, UK
- Myeloma Research Laboratory, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, North Terrace, Adelaide 5005, Australia
- Cancer Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide 5001, Australia
- Correspondence: or ; Tel.: +61-403-393-755
| | - Peng Hua
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 210029, China;
| | - Irene Roberts
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, and NIHR Oxford Biomedical Research Centre Haematology Theme, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, UK;
- Department of Paediatrics and NIHR Oxford Biomedical Research Centre Haematology Theme, University of Oxford, Oxford OX3 9DU, UK
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78
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Hoshino A, Boutboul D, Zhang Y, Kuehn HS, Hadjadj J, Özdemir N, Celkan T, Walz C, Picard C, Lenoir C, Mahlaoui N, Klein C, Peng X, Azar A, Reigh E, Cheminant M, Fischer A, Rieux-Laucat F, Callebaut I, Hauck F, Milner J, Rosenzweig SD, Latour S. Gain-of-function IKZF1 variants in humans cause immune dysregulation associated with abnormal T/B cell late differentiation. Sci Immunol 2022; 7:eabi7160. [PMID: 35333544 DOI: 10.1126/sciimmunol.abi7160] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
IKZF1/IKAROS is a key transcription factor of lymphocyte development expressed throughout hematopoiesis. Heterozygous germline IKZF1 haploinsufficient (IKZF1HI) and dominant-negative (IKZF1DN) variants in humans cause B cell immune deficiency and combined immunodeficiency. Here, we identified previously unidentified heterozygous IKZF1 variants (R183C/H) located in the DNA binding domain in eight individuals with inflammatory, autoimmune, allergic symptoms, and abnormal plasma cell (PC) proliferation. Leukocytes of patients exhibited specific defects including impaired IL-2 production by T cells, T helper (TH) skewing toward TH2, low numbers of regulatory T cells (Treg), eosinophilia, and abnormal PC proliferation. In contrast to IKZF1HI and IKZF1DN, IKZF1R183H/C proteins showed increased DNA binding associated with increased gene expression of TH2 and PC differentiation, thus demonstrating that IKZF1R183H/C behave as gain-of-function (GOF) alleles. In vitro treatment with lenalidomide, known to degrade IKZF1, corrected TH2 and PC abnormalities caused by IKZF1R183H/C. These data extend the spectrum of pathological mechanisms associated with IKZF1 deficiencies and highlight the role of IKZF1 in late lymphoid differentiation stages.
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Affiliation(s)
- Akihiro Hoshino
- Laboratory of Lymphocyte Activation and Susceptibility to EBV infection, INSERM UMR 1163, Imagine Institute, Paris, France
| | - David Boutboul
- Laboratory of Lymphocyte Activation and Susceptibility to EBV infection, INSERM UMR 1163, Imagine Institute, Paris, France
| | - Yuan Zhang
- Department of Pediatrics, Irving Medical Center, Columbia University, New York, NY, USA
| | - Hye Sun Kuehn
- Immunology Service, Department of Laboratory Medicine, National Institutes of Health Clinical Center, NIH, Bethesda, MD, USA
| | - Jerôme Hadjadj
- Laboratory of Immunogenetics of Pediatric Autoimmunity, INSERM UMR 1163, Imagine Institute, Paris, France.,Université de Paris, Paris, France
| | - Nihal Özdemir
- Kanuni Sultan Süleyman Training and Research Hospital, Pediatric Hematology Oncology Department, Istanbul, Turkey
| | - Tiraje Celkan
- Cerrahpasa Medical University, Pediatric Hematology Oncology Department, Istanbul, Turkey
| | - Christoph Walz
- Institute of Pathology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Capucine Picard
- Laboratory of Lymphocyte Activation and Susceptibility to EBV infection, INSERM UMR 1163, Imagine Institute, Paris, France.,Université de Paris, Paris, France.,Study Center for Primary Immunodeficiencies, Necker-Enfants Malades Hospital, Assistance Publique Hôpitaux de Paris (APHP), Paris, France
| | - Christelle Lenoir
- Laboratory of Lymphocyte Activation and Susceptibility to EBV infection, INSERM UMR 1163, Imagine Institute, Paris, France
| | - Nizar Mahlaoui
- Department of Pediatric Immunology, Hematology and Rheumatology, Necker-Enfants Malades Hospital, APHP, Paris, France
| | - Christoph Klein
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Xiao Peng
- Laboratory of Clinical Immunology and Microbiology and the Immune Deficiency Genetics Section, NIH, Bethesda, MD, USA
| | - Antoine Azar
- Laboratory of Clinical Immunology and Microbiology and the Immune Deficiency Genetics Section, NIH, Bethesda, MD, USA
| | - Erin Reigh
- Dartmouth-Hitchcock Medical Center, Boston, MA, USA
| | - Morgane Cheminant
- Department of Adult Hematology, Necker-Enfants Malades Hospital, APHP, Paris, France
| | - Alain Fischer
- Department of Pediatric Immunology, Hematology and Rheumatology, Necker-Enfants Malades Hospital, APHP, Paris, France.,Imagine Institute, Paris, France.,Collège de France, Paris, France
| | - Frédéric Rieux-Laucat
- Laboratory of Immunogenetics of Pediatric Autoimmunity, INSERM UMR 1163, Imagine Institute, Paris, France.,Université de Paris, Paris, France
| | - Isabelle Callebaut
- Sorbonne Université, Muséum National d'Histoire Naturelle, UMR CNRS 7590, Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie, IMPMC, Paris, France
| | - Fabian Hauck
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Joshua Milner
- Department of Pediatrics, Irving Medical Center, Columbia University, New York, NY, USA
| | - Sergio D Rosenzweig
- Immunology Service, Department of Laboratory Medicine, National Institutes of Health Clinical Center, NIH, Bethesda, MD, USA
| | - Sylvain Latour
- Laboratory of Lymphocyte Activation and Susceptibility to EBV infection, INSERM UMR 1163, Imagine Institute, Paris, France.,Université de Paris, Paris, France
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79
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Berglund E, Barbany G, Orsmark-Pietras C, Fogelstrand L, Abrahamsson J, Golovleva I, Hallböök H, Höglund M, Lazarevic V, Levin LÅ, Nordlund J, Norèn-Nyström U, Palle J, Thangavelu T, Palmqvist L, Wirta V, Cavelier L, Fioretos T, Rosenquist R. A Study Protocol for Validation and Implementation of Whole-Genome and -Transcriptome Sequencing as a Comprehensive Precision Diagnostic Test in Acute Leukemias. Front Med (Lausanne) 2022; 9:842507. [PMID: 35402448 PMCID: PMC8987911 DOI: 10.3389/fmed.2022.842507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/17/2022] [Indexed: 12/11/2022] Open
Abstract
Background Whole-genome sequencing (WGS) and whole-transcriptome sequencing (WTS), with the ability to provide comprehensive genomic information, have become the focal point of research interest as novel techniques that can support precision diagnostics in routine clinical care of patients with various cancer types, including hematological malignancies. This national multi-center study, led by Genomic Medicine Sweden, aims to evaluate whether combined application of WGS and WTS (WGTS) is technically feasible and can be implemented as an efficient diagnostic tool in patients with acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). In addition to clinical impact assessment, a health-economic evaluation of such strategy will be performed. Methods and Analysis The study comprises four phases (i.e., retrospective, prospective, real-time validation, and follow-up) including approximately 700 adult and pediatric Swedish AML and ALL patients. Results of WGS for tumor (90×) and normal/germline (30×) samples as well as WTS for tumors only will be compared to current standard of care diagnostics. Primary study endpoints are diagnostic efficiency and improved diagnostic yield. Secondary endpoints are technical and clinical feasibility for routine implementation, clinical utility, and health-economic impact. Discussion Data from this national multi-center study will be used to evaluate clinical performance of the integrated WGTS diagnostic workflow compared with standard of care. The study will also elucidate clinical and health-economic impacts of a combined WGTS strategy when implemented in routine clinical care. Clinical Trial Registration [https://doi.org/10.1186/ISRCTN66987142], identifier [ISRCTN66987142].
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Affiliation(s)
- Eva Berglund
- Department of Immunology, Genetics and Pathology, Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Gisela Barbany
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Hospital, Solna, Sweden
| | - Christina Orsmark-Pietras
- Department of Clinical Genetics and Pathology, Office for Medical Services, Division of Laboratory Medicine, Lund, Sweden
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
- Clinical Genomics Lund, Science for Life Laboratory, Lund University, Lund, Sweden
| | - Linda Fogelstrand
- Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, Clinical Genomics Gothenburg, Science for Life Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Jonas Abrahamsson
- Clinical Sciences, Queen Silvias Childrens Hospital, Gothenburg, Sweden
| | - Irina Golovleva
- Department of Medical Biosciences, University of Umeå, Umeå, Sweden
| | - Helene Hallböök
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Martin Höglund
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Vladimir Lazarevic
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Lars-Åke Levin
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Jessica Nordlund
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Josefine Palle
- Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
| | - Tharshini Thangavelu
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Lars Palmqvist
- Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, Clinical Genomics Gothenburg, Science for Life Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Valtteri Wirta
- Department of Microbiology, Tumor and Cell Biology, Clinical Genomics Stockholm, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
| | - Lucia Cavelier
- Department of Immunology, Genetics and Pathology, Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Thoas Fioretos
- Department of Clinical Genetics and Pathology, Office for Medical Services, Division of Laboratory Medicine, Lund, Sweden
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
- Clinical Genomics Lund, Science for Life Laboratory, Lund University, Lund, Sweden
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Hospital, Solna, Sweden
- *Correspondence: Richard Rosenquist,
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80
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Characterization of PAX5 Intragenic Tandem Multiplication in Pediatric B-Lymphoblastic Leukemia by Optical Genome Mapping. Blood Adv 2022; 6:3343-3346. [PMID: 35245931 PMCID: PMC9198916 DOI: 10.1182/bloodadvances.2021006328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 02/28/2022] [Indexed: 11/20/2022] Open
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81
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Dickerson KM, Qu C, Gao Q, Iacobucci I, Gu Z, Yoshihara H, Backhaus EA, Chang Y, Janke LJ, Xu B, Wu G, Papachristou EK, D'Santos CS, Roberts KG, Mullighan CG. ZNF384 fusion oncoproteins drive lineage aberrancy in acute leukemia. Blood Cancer Discov 2022; 3:240-263. [PMID: 35247902 DOI: 10.1158/2643-3230.bcd-21-0163] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 12/21/2021] [Accepted: 02/28/2022] [Indexed: 11/16/2022] Open
Abstract
ZNF384-rearranged fusion oncoproteins (FO) define a subset of lineage ambiguous leukemias, but their mechanistic role in leukemogenesis and lineage ambiguity is poorly understood. Using viral expression in mouse and human hematopoietic stem and progenitor cells (HSPCs) and a Ep300::Znf384 knockin mouse model, we show that ZNF384 FO promote hematopoietic expansion, myeloid lineage skewing, and self-renewal. In mouse HSPCs, concomitant lesions, such as NRASG12D, were required for fully penetrant leukemia, whereas in human HSPCs expression of ZNF384 FO drove B/myeloid leukemia, with sensitivity of a ZNF384-rearranged xenograft to FLT3 inhibition in vivo. Mechanistically, ZNF384 FO occupy a subset of predominantly intragenic/enhancer regions with increased histone 3 lysine acetylation and deregulate expression of hematopoietic stem cell transcription factors. These data define a paradigm for FO-driven lineage ambiguous leukemia, in which expression in HSPCs results in deregulation of lineage-specific genes and hematopoietic skewing, progressing to full leukemia in the context of proliferative stress.
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Affiliation(s)
| | - Chunxu Qu
- St. Jude Children's Research Hospital, Memphis, Tennessee, United States
| | - Qingsong Gao
- St. Jude Children's Research Hospital, Memphis, United States
| | - Ilaria Iacobucci
- St. Jude Children's Research Hospital, Memphis, Tennessee, United States
| | - Zhaohui Gu
- City Of Hope National Medical Center, United States
| | | | - Emily A Backhaus
- St. Jude Children's Research Hospital, Memphis, TN, United States
| | - Yunchao Chang
- St. Jude Children's Research Hospital, Memphis, TN, United States
| | - Laura J Janke
- St. Jude Children's Research Hospital, Memphis, TN, United States
| | - Beisi Xu
- St. Jude Children's Research Hospital, Memphis, TN, United States
| | - Gang Wu
- St. Jude Children's Research Hospital, Memphis, United States
| | | | - Clive S D'Santos
- Cancer Research UK Cambridge Research Institute, Cambridge, United Kingdom
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82
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Lejman M, Chałupnik A, Chilimoniuk Z, Dobosz M. Genetic Biomarkers and Their Clinical Implications in B-Cell Acute Lymphoblastic Leukemia in Children. Int J Mol Sci 2022; 23:ijms23052755. [PMID: 35269896 PMCID: PMC8911213 DOI: 10.3390/ijms23052755] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 02/27/2022] [Accepted: 02/28/2022] [Indexed: 02/04/2023] Open
Abstract
Acute lymphoblastic leukemia (ALL) is a heterogeneous group of hematologic malignancies characterized by abnormal proliferation of immature lymphoid cells. It is the most commonly diagnosed childhood cancer with an almost 80% cure rate. Despite favorable survival rates in the pediatric population, a significant number of patients develop resistance to therapy, resulting in poor prognosis. ALL is a heterogeneous disease at the genetic level, but the intensive development of sequencing in the last decade has made it possible to broaden the study of genomic changes. New technologies allow us to detect molecular changes such as point mutations or to characterize epigenetic or proteomic profiles. This process made it possible to identify new subtypes of this disease characterized by constellations of genetic alterations, including chromosome changes, sequence mutations, and DNA copy number alterations. These genetic abnormalities are used as diagnostic, prognostic and predictive biomarkers that play an important role in earlier disease detection, more accurate risk stratification, and treatment. Identification of new ALL biomarkers, and thus a greater understanding of their molecular basis, will lead to better monitoring of the course of the disease. In this article, we provide an overview of the latest information on genomic alterations found in childhood ALL and discuss their impact on patients' clinical outcomes.
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Affiliation(s)
- Monika Lejman
- Laboratory of Genetic Diagnostics, Medical University of Lublin, 20-093 Lublin, Poland
- Correspondence:
| | - Aleksandra Chałupnik
- Student Scientific Society, Laboratory of Genetic Diagnostics, Medical University of Lublin, 20-093 Lublin, Poland; (A.C.); (Z.C.); (M.D.)
| | - Zuzanna Chilimoniuk
- Student Scientific Society, Laboratory of Genetic Diagnostics, Medical University of Lublin, 20-093 Lublin, Poland; (A.C.); (Z.C.); (M.D.)
| | - Maciej Dobosz
- Student Scientific Society, Laboratory of Genetic Diagnostics, Medical University of Lublin, 20-093 Lublin, Poland; (A.C.); (Z.C.); (M.D.)
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83
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Moorman AV, Barretta E, Butler ER, Ward EJ, Twentyman K, Kirkwood AA, Enshaei A, Schwab C, Creasey T, Leongamornlert D, Papaemmanuil E, Patrick P, Clifton-Hadley L, Patel B, Menne T, McMillan AK, Harrison CJ, Rowntree CJ, Marks DI, Fielding AK. Prognostic impact of chromosomal abnormalities and copy number alterations in adult B-cell precursor acute lymphoblastic leukaemia: a UKALL14 study. Leukemia 2022; 36:625-636. [PMID: 34657128 PMCID: PMC8885405 DOI: 10.1038/s41375-021-01448-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/29/2021] [Accepted: 09/30/2021] [Indexed: 12/22/2022]
Abstract
Chromosomal abnormalities are established prognostic markers in adult ALL. We assessed the prognostic impact of established chromosomal abnormalities and key copy number alterations (CNA) among 652 patients with B-cell precursor ALL treated on a modern MRD driven protocol. Patients with KMT2A-AFF1, complex karyotype (CK) and low hypodiploidy/near-triploidy (HoTr) had high relapse rates 50%, 60% & 53% and correspondingly poor survival. Patients with BCR-ABL1 had an outcome similar to other patients. JAK-STAT abnormalities (CRLF2, JAK2) occurred in 6% patients and were associated with a high relapse rate (56%). Patients with ABL-class fusions were rare (1%). A small group of patients with ZNF384 fusions (n = 12) had very good survival. CNA affecting IKZF1, CDKN2A/B, PAX5, BTG1, ETV6, EBF1, RB1 and PAR1 were assessed in 436 patients. None of the individual deletions or profiles were associated with survival, either in the cohort overall or within key subgroups. Collectively these data indicate that primary genetic abnormalities are stronger prognostic markers than secondary deletions. We propose a revised UKALL genetic risk classification based on key established chromosomal abnormalities: (1) very high risk: CK, HoTr or JAK-STAT abnormalities; (2) high risk: KMT2A fusions; (3) Tyrosine kinase activating: BCR-ABL1 and ABL-class fusions; (4) standard risk: all other patients.
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Affiliation(s)
- Anthony V Moorman
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
| | - Emilio Barretta
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Ellie R Butler
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Eleanor J Ward
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Katie Twentyman
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Amy A Kirkwood
- Cancer Research UK & UCL Cancer Trials Centre, UCL Cancer Institute, University College London, London, UK
| | - Amir Enshaei
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Claire Schwab
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Tom Creasey
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | | | - Pip Patrick
- Cancer Research UK & UCL Cancer Trials Centre, UCL Cancer Institute, University College London, London, UK
| | - Laura Clifton-Hadley
- Cancer Research UK & UCL Cancer Trials Centre, UCL Cancer Institute, University College London, London, UK
| | - Bela Patel
- Department of Haematology, Queen Mary University of London, London, UK
| | - Tobias Menne
- Department of Haematology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Andrew K McMillan
- Department of Haematology, Nottingham University Hospital NHS Trust, Nottingham, UK
| | - Christine J Harrison
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Clare J Rowntree
- Department of Haematology, Cardiff And Vale University Health Board, Cardiff, UK
| | - David I Marks
- Department of Haematology, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
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84
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Siegele BJ, Stemmer-Rachamimov AO, Lilljebjorn H, Fioretos T, Winters AC, Dal Cin P, Treece A, Gaskell A, Nardi V. N-terminus DUX4-immunohistochemistry is a reliable methodology for the diagnosis of DUX4-fused B-lymphoblastic leukemia/lymphoma (N-terminus DUX4 IHC for DUX4-fused B-ALL). Genes Chromosomes Cancer 2022; 61:449-458. [PMID: 35218117 DOI: 10.1002/gcc.23033] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 02/15/2022] [Accepted: 02/16/2022] [Indexed: 11/07/2022] Open
Abstract
B-lymphoblastic leukemia/lymphoma (B-ALL) is the most common pediatric malignancy and the most commonly diagnosed adult lymphoblastic leukemia. Recent advances have broadened the spectrum of B-ALL, with DUX4 gene fusions implicated in a subclass occurring in adolescents and young adults and harboring a favorable prognosis. DUX4 fusions have been challenging to identify. We aimed to determine whether expression of the DUX4 oncoprotein, as detected by targeted immunohistochemistry, might serve as a surrogate for molecular detection of DUX4 fusions in B-ALL. A cohort of investigational B-ALLs was generated with enrichment for DUX4 fusions by inclusion of cases with characteristic demographic features and immunophenotypic properties. B-ALLs with mutually exclusive cytogenetics were collected. Immunohistochemical staining by a monoclonal antibody raised against the N-terminus of the DUX4 protein was performed. N-DUX4 immunohistochemistry demonstrated strong, crisp nuclear staining in blasts of seven investigational cases, six of which had nucleic acid material available for molecular evaluation. Five of these cases demonstrated RNA-seq DUX4-fusion positivity. One N-DUX4 immunohistochemistry positive case lacked a definitive DUX4-fusion by RNA-seq, though demonstrated a gene expression profile characteristic of DUX4-rearranged B-ALLs, a CD2+ immunophenotype, and a lack of staining by C-terminus DUX4 antibody immunohistochemistry. At least 83.3% [5/6] positive predictive value. N-DUX4 immunohistochemistry was negative in blasts of three RNA-seq DUX4-fusion negative cases (3/3; 100% negative predictive value). B-ALLs with mutually-exclusive cytogenetic profiles were all N-DUX4 negative (0/10, specificity 100%). N-DUX4 immunohistochemistry is reliable for the distinction of DUX4-rearranged B-ALLs from other B-ALLs. We recommend its use for subclassification of B-ALLs in adolescents and young adults and in B-ALLs that remain "not otherwise specified." This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Bradford J Siegele
- Department of Pathology, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Pathology and Laboratory Medicine, Children's Hospital Colorado, Aurora, Colorado, USA
| | | | - Henrik Lilljebjorn
- Department of Clinical Genetics, University and Regional Laboratories, Lund University, Lund, Sweden
| | - Thoas Fioretos
- Department of Clinical Genetics, University and Regional Laboratories, Lund University, Lund, Sweden
| | - Amanda C Winters
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Paola Dal Cin
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Amy Treece
- Department of Pathology and Laboratory Medicine, Children's Hospital Colorado, Aurora, Colorado, USA
| | - Alisa Gaskell
- Department of Pathology and Laboratory Medicine, Children's Hospital Colorado, Aurora, Colorado, USA
| | - Valentina Nardi
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
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85
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Li J, Hlavka-Zhang J, Shrimp JH, Piper C, Dupéré-Richér D, Roth JS, Jing D, Casellas Román HL, Troche C, Swaroop A, Kulis M, Oyer JA, Will CM, Shen M, Riva A, Bennett RL, Ferrando AA, Hall MD, Lock RB, Licht JD. PRC2 Inhibitors Overcome Glucocorticoid Resistance Driven by NSD2 Mutation in Pediatric Acute Lymphoblastic Leukemia. Cancer Discov 2022; 12:186-203. [PMID: 34417224 DOI: 10.1158/2159-8290.cd-20-1771] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 07/21/2021] [Accepted: 08/18/2021] [Indexed: 01/05/2023]
Abstract
Mutations in epigenetic regulators are common in relapsed pediatric acute lymphoblastic leukemia (ALL). Here, we uncovered the mechanism underlying the relapse of ALL driven by an activating mutation of the NSD2 histone methyltransferase (p.E1099K). Using high-throughput drug screening, we found that NSD2-mutant cells were specifically resistant to glucocorticoids. Correction of this mutation restored glucocorticoid sensitivity. The transcriptional response to glucocorticoids was blocked in NSD2-mutant cells due to depressed glucocorticoid receptor (GR) levels and the failure of glucocorticoids to autoactivate GR expression. Although H3K27me3 was globally decreased by NSD2 p.E1099K, H3K27me3 accumulated at the NR3C1 (GR) promoter. Pretreatment of NSD2 p.E1099K cell lines and patient-derived xenograft samples with PRC2 inhibitors reversed glucocorticoid resistance in vitro and in vivo. PRC2 inhibitors restored NR3C1 autoactivation by glucocorticoids, increasing GR levels and allowing GR binding and activation of proapoptotic genes. These findings suggest a new therapeutic approach to relapsed ALL associated with NSD2 mutation. SIGNIFICANCE: NSD2 histone methyltransferase mutations observed in relapsed pediatric ALL drove glucocorticoid resistance by repression of the GR and abrogation of GR gene autoactivation due to accumulation of K3K27me3 at its promoter. Pretreatment with PRC2 inhibitors reversed resistance, suggesting a new therapeutic approach to these patients with ALL.This article is highlighted in the In This Issue feature, p. 1.
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Affiliation(s)
- Jianping Li
- Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, Florida
| | - Julia Hlavka-Zhang
- Children's Cancer Institute, School of Women's and Children's Health, University of New South Wales Sydney, Sydney, Australia
| | - Jonathan H Shrimp
- National Center for Advancing Translational Sciences, NIH, Rockville, Maryland
| | - Crissandra Piper
- Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, Florida
| | - Daphne Dupéré-Richér
- Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, Florida
| | - Jacob S Roth
- National Center for Advancing Translational Sciences, NIH, Rockville, Maryland
| | - Duohui Jing
- Children's Cancer Institute, School of Women's and Children's Health, University of New South Wales Sydney, Sydney, Australia
| | - Heidi L Casellas Román
- Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, Florida
| | - Catalina Troche
- Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, Florida
| | - Alok Swaroop
- Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, Florida
| | - Marta Kulis
- Fundació Clínic per a la Recerca Biomèdica, Barcelona, Spain
| | - Jon A Oyer
- Pfizer Inc., Oncology Research and Development, San Diego, California
| | - Christine M Will
- Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, Florida
| | - Min Shen
- National Center for Advancing Translational Sciences, NIH, Rockville, Maryland
| | - Alberto Riva
- Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, Florida
| | - Richard L Bennett
- Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, Florida
| | - Adolfo A Ferrando
- Institute of Cancer Genetics, Columbia University, New York, New York
| | - Matthew D Hall
- National Center for Advancing Translational Sciences, NIH, Rockville, Maryland
| | - Richard B Lock
- Children's Cancer Institute, School of Women's and Children's Health, University of New South Wales Sydney, Sydney, Australia
| | - Jonathan D Licht
- Division of Hematology/Oncology, University of Florida Health Cancer Center, Gainesville, Florida.
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86
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Mengxuan S, Fen Z, Runming J. Novel Treatments for Pediatric Relapsed or Refractory Acute B-Cell Lineage Lymphoblastic Leukemia: Precision Medicine Era. Front Pediatr 2022; 10:923419. [PMID: 35813376 PMCID: PMC9259965 DOI: 10.3389/fped.2022.923419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 06/02/2022] [Indexed: 12/05/2022] Open
Abstract
With the markedly increased cure rate for children with newly diagnosed pediatric B-cell acute lymphoblastic leukemia (B-ALL), relapse and refractory B-ALL (R/R B-ALL) remain the primary cause of death worldwide due to the limitations of multidrug chemotherapy. As we now have a more profound understanding of R/R ALL, including the mechanism of recurrence and drug resistance, prognostic indicators, genotypic changes and so on, we can use newly emerging technologies to identify operational molecular targets and find sensitive drugs for individualized treatment. In addition, more promising and innovative immunotherapies and molecular targeted drugs that are expected to kill leukemic cells more effectively while maintaining low toxicity to achieve minimal residual disease (MRD) negativity and better bridge hematopoietic stem cell transplantation (HSCT) have also been widely developed. To date, the prognosis of pediatric patients with R/R B-ALL has been enhanced markedly thanks to the development of novel drugs. This article reviews the new advancements of several promising strategies for pediatric R/R B-ALL.
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Affiliation(s)
- Shang Mengxuan
- Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhou Fen
- Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jin Runming
- Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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87
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Hangul C, Tokta O, Berker Karauzum S, Akkaya B, Yıldırım H, Tayfun Kupesiz F, Akınel AN. Analysis of DUX4 Expression in Bone Marrow and Re-Discussion of DUX4 Function in the Health and Disease. Turk Patoloji Derg 2022; 38:219-226. [PMID: 34854471 PMCID: PMC10508413 DOI: 10.5146/tjpath.2021.01564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 11/02/2021] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE DUX4 is an embryonic transcription factor (TF) later silenced in somatic tissues, while active in germline testis cells. Re-expression in somatic cells has been revealed to be present in pathologic conditions such as dystrophy, leukemia, and other cancer types. Embryonic cells, cancer cells and testis cells that show DUX4 expression are pluri-multipotent cells. This lead us to question "Could DUX4 be a TF that is active in certain types of potent somatic cells?" As a perfect reflection of the potent cell pool, we aimed to reveal DUX4 expression in the bone marrow. MATERIAL AND METHOD Bone marrow aspiration materials of seven healthy donors aged between 3 and 32 (2 males/5 females) were investigated with qPCR analysis after RNA isolation for the presence of DUX4 full length mRNA expression. Samples have been investigated for protein existence of DUX4 via immunohistochemistry in two donors that had sufficient aspiration material. RESULTS DUX4 mRNA expression was present in all donors, with higher expression compared to B-actin. DUX4 positive stained cells were also detected by immunohistochemistry. CONCLUSION With these results, novel expression for DUX4 in hematopoietic tissue is described. Further studies on the function of DUX4 in hematopoietic cells can shed light on DUX4-related pathways, and contribute to the treatment of DUX4-related diseases such as B-ALL, other cancers, and facioscapulohumeral muscular dystrophy.
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Affiliation(s)
- Ceren Hangul
- Department of Medical Biology and Genetics, Akdeniz University, Faculty of Medicine, Antalya, Turkey
| | - Oznur Tokta
- Department of Medical Biology and Genetics, Akdeniz University, Faculty of Medicine, Antalya, Turkey
| | - Sibel Berker Karauzum
- Department of Medical Biology and Genetics, Akdeniz University, Faculty of Medicine, Antalya, Turkey
| | - Bahar Akkaya
- Department of Pathology, Akdeniz University, Faculty of Medicine, Antalya, Turkey
| | - Hulya Yıldırım
- Department of Pathology, Akdeniz University, Faculty of Medicine, Antalya, Turkey
| | - Funda Tayfun Kupesiz
- Department of Pediatric Hematology and Oncology, Akdeniz University, Faculty of Medicine, Antalya, Turkey
| | - Ayse Nur Akınel
- Department of Pediatric Hematology and Oncology, Akdeniz University, Faculty of Medicine, Antalya, Turkey
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88
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Almeida ARM, Neto JL, Cachucho A, Euzébio M, Meng X, Kim R, Fernandes MB, Raposo B, Oliveira ML, Ribeiro D, Fragoso R, Zenatti PP, Soares T, de Matos MR, Corrêa JR, Duque M, Roberts KG, Gu Z, Qu C, Pereira C, Pyne S, Pyne NJ, Barreto VM, Bernard-Pierrot I, Clappier E, Mullighan CG, Grosso AR, Yunes JA, Barata JT. Interleukin-7 receptor α mutational activation can initiate precursor B-cell acute lymphoblastic leukemia. Nat Commun 2021; 12:7268. [PMID: 34907175 PMCID: PMC8671594 DOI: 10.1038/s41467-021-27197-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 11/03/2021] [Indexed: 12/13/2022] Open
Abstract
Interleukin-7 receptor α (encoded by IL7R) is essential for lymphoid development. Whether acute lymphoblastic leukemia (ALL)-related IL7R gain-of-function mutations can trigger leukemogenesis remains unclear. Here, we demonstrate that lymphoid-restricted mutant IL7R, expressed at physiological levels in conditional knock-in mice, establishes a pre-leukemic stage in which B-cell precursors display self-renewal ability, initiating leukemia resembling PAX5 P80R or Ph-like human B-ALL. Full transformation associates with transcriptional upregulation of oncogenes such as Myc or Bcl2, downregulation of tumor suppressors such as Ikzf1 or Arid2, and major IL-7R signaling upregulation (involving JAK/STAT5 and PI3K/mTOR), required for leukemia cell viability. Accordingly, maximal signaling drives full penetrance and early leukemia onset in homozygous IL7R mutant animals. Notably, we identify 2 transcriptional subgroups in mouse and human Ph-like ALL, and show that dactolisib and sphingosine-kinase inhibitors are potential treatment avenues for IL-7R-related cases. Our model, a resource to explore the pathophysiology and therapeutic vulnerabilities of B-ALL, demonstrates that IL7R can initiate this malignancy.
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Affiliation(s)
- Afonso R. M. Almeida
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - João L. Neto
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Ana Cachucho
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Mayara Euzébio
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal ,grid.456556.1Centro Infantil Boldrini, Campinas, SP Brazil
| | - Xiangyu Meng
- grid.4444.00000 0001 2112 9282Institut Curie, PSL Research University, CNRS, UMR144, Equipe Labellisée Ligue contre le Cancer, Paris, France
| | - Rathana Kim
- grid.413328.f0000 0001 2300 6614Hematology Laboratory, Saint-Louis Hospital, AP-HP, Paris, France, and Saint-Louis Research Institute, Université de Paris, INSERM U944/Centre National de la Recherche Scientifique (CNRS) Unité Mixte de Recherche (UMR) 7212, Paris, France
| | - Marta B. Fernandes
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Beatriz Raposo
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Mariana L. Oliveira
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Daniel Ribeiro
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Rita Fragoso
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | | | - Tiago Soares
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Mafalda R. de Matos
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | | | - Mafalda Duque
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Kathryn G. Roberts
- grid.240871.80000 0001 0224 711XDepartment of Pathology and Hematological Malignancies Program, St. Jude Children’s Research Hospital, Memphis, TN US
| | - Zhaohui Gu
- grid.240871.80000 0001 0224 711XDepartment of Pathology and Hematological Malignancies Program, St. Jude Children’s Research Hospital, Memphis, TN US
| | - Chunxu Qu
- grid.240871.80000 0001 0224 711XDepartment of Pathology and Hematological Malignancies Program, St. Jude Children’s Research Hospital, Memphis, TN US
| | - Clara Pereira
- grid.8217.c0000 0004 1936 9705Smurfit Institute of Genetics, Trinity College Dublin, University of Dublin, Dublin 2, Ireland
| | - Susan Pyne
- grid.11984.350000000121138138Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, Scotland UK
| | - Nigel J. Pyne
- grid.11984.350000000121138138Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, Scotland UK
| | - Vasco M. Barreto
- grid.10772.330000000121511713DNA Breaks Laboratory, CEDOC - Chronic Diseases Research Center, NOVA Medical School - Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Isabelle Bernard-Pierrot
- grid.4444.00000 0001 2112 9282Institut Curie, PSL Research University, CNRS, UMR144, Equipe Labellisée Ligue contre le Cancer, Paris, France
| | - Emannuelle Clappier
- grid.413328.f0000 0001 2300 6614Hematology Laboratory, Saint-Louis Hospital, AP-HP, Paris, France, and Saint-Louis Research Institute, Université de Paris, INSERM U944/Centre National de la Recherche Scientifique (CNRS) Unité Mixte de Recherche (UMR) 7212, Paris, France
| | - Charles G. Mullighan
- grid.240871.80000 0001 0224 711XDepartment of Pathology and Hematological Malignancies Program, St. Jude Children’s Research Hospital, Memphis, TN US
| | - Ana R. Grosso
- grid.10772.330000000121511713UCIBIO, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal
| | | | - João T. Barata
- grid.9983.b0000 0001 2181 4263Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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89
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Distinct clinical characteristics of DUX4- and PAX5-altered childhood B-lymphoblastic leukemia. Blood Adv 2021; 5:5226-5238. [PMID: 34547766 PMCID: PMC9152998 DOI: 10.1182/bloodadvances.2021004895] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/11/2021] [Indexed: 12/05/2022] Open
Abstract
Despite poor end-of-induction MRD, DUX4 B-ALL has excellent outcome. PAX5alt B-ALL with IKZF1 codeletion is associated with poor outcome, which can be improved by treatment intensification.
Among the recently described subtypes in childhood B-lymphoblastic leukemia (B-ALL) were DUX4- and PAX5-altered (PAX5alt). By using whole transcriptome RNA sequencing in 377 children with B-ALL from the Malaysia-Singapore ALL 2003 (MS2003) and Malaysia-Singapore ALL 2010 (MS2010) studies, we found that, after hyperdiploid and ETV6-RUNX1, the third and fourth most common subtypes were DUX4 (n = 51; 14%) and PAX5alt (n = 36; 10%). DUX4 also formed the largest genetic subtype among patients with poor day-33 minimal residual disease (MRD; n = 12 of 44). But despite the poor MRD, outcome of DUX4 B-ALL was excellent (5-year cumulative risk of relapse [CIR], 8.9%; 95% confidence interval [CI], 2.8%-19.5% and 5-year overall survival, 97.8%; 95% CI, 85.3%-99.7%). In MS2003, 21% of patients with DUX4 B-ALL had poor peripheral blood response to prednisolone at day 8, higher than other subtypes (8%; P = .03). In MS2010, with vincristine at day 1, no day-8 poor peripheral blood response was observed in the DUX4 subtype (P = .03). The PAX5alt group had an intermediate risk of relapse (5-year CIR, 18.1%) but when IKZF1 was not deleted, outcome was excellent with no relapse among 23 patients. Compared with MS2003, outcome of PAX5alt B-ALL with IKZF1 codeletion was improved by treatment intensification in MS2010 (5-year CIR, 80.0% vs 0%; P = .05). In conclusion, despite its poor initial response, DUX4 B-ALL had a favorable overall outcome, and the prognosis of PAX5alt was strongly dependent on IKZF1 codeletion.
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90
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McClure BJ, Pal M, Heatley SL, Rehn J, Schutz C, Breen J, Venn NC, Sutton R, Khaw SL, Yeung DT, White DL. Two novel cases of NUTM1-rearranged B-cell acute lymphoblastic leukaemia presenting with high-risk features. Br J Haematol 2021; 196:1407-1411. [PMID: 34897646 DOI: 10.1111/bjh.17995] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 11/30/2021] [Indexed: 12/14/2022]
Affiliation(s)
- Barbara J McClure
- Cancer Program, Precision Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA, Australia.,Faculty of Health and Medical Science, University of Adelaide, Adelaide, SA, Australia
| | - Manika Pal
- Women's and Children's Hospital, North Adelaide, SA, Australia
| | - Susan L Heatley
- Cancer Program, Precision Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA, Australia.,Faculty of Health and Medical Science, University of Adelaide, Adelaide, SA, Australia.,Australian and New Zealand Children's Oncology Group (ANZCHOG), Clayton, VIC, Australia
| | - Jacqueline Rehn
- Cancer Program, Precision Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA, Australia.,Faculty of Health and Medical Science, University of Adelaide, Adelaide, SA, Australia
| | - Caitlin Schutz
- Cancer Program, Precision Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA, Australia
| | - James Breen
- Faculty of Health and Medical Science, University of Adelaide, Adelaide, SA, Australia.,South Australian Genomics Centre (SAGC), SAHMRI, Adelaide, SA, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Nicola C Venn
- Molecular Diagnostics, Children's Cancer Institute, Sydney, NSW, Australia
| | - Rosemary Sutton
- Australian and New Zealand Children's Oncology Group (ANZCHOG), Clayton, VIC, Australia.,Molecular Diagnostics, Children's Cancer Institute, Sydney, NSW, Australia.,School of Women's and Children's Health, University of New South Wales, Sydney, NSW, Australia.,Australian Genomics Health Alliance (AGHA), Parkville, VIC, Australia
| | - Seong Lin Khaw
- Royal Children's Hospital, Melbourne, VIC, Australia.,Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - David T Yeung
- Cancer Program, Precision Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA, Australia.,Faculty of Health and Medical Science, University of Adelaide, Adelaide, SA, Australia.,Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, SA, Australia
| | - Deborah L White
- Cancer Program, Precision Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA, Australia.,Faculty of Health and Medical Science, University of Adelaide, Adelaide, SA, Australia.,Australian and New Zealand Children's Oncology Group (ANZCHOG), Clayton, VIC, Australia.,Australian Genomics Health Alliance (AGHA), Parkville, VIC, Australia.,School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
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91
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Xu H, Yu H, Jin R, Wu X, Chen H. Genetic and Epigenetic Targeting Therapy for Pediatric Acute Lymphoblastic Leukemia. Cells 2021; 10:cells10123349. [PMID: 34943855 PMCID: PMC8699354 DOI: 10.3390/cells10123349] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/06/2021] [Accepted: 11/25/2021] [Indexed: 12/31/2022] Open
Abstract
Acute lymphoblastic leukemia is the most common malignancy in children and is characterized by numerous genetic and epigenetic abnormalities. Epigenetic mechanisms, including DNA methylations and histone modifications, result in the heritable silencing of genes without a change in their coding sequence. Emerging studies are increasing our understanding of the epigenetic role of leukemogenesis and have demonstrated the potential of DNA methylations and histone modifications as a biomarker for lineage and subtypes classification, predicting relapse, and disease progression in acute lymphoblastic leukemia. Epigenetic abnormalities are relatively reversible when treated with some small molecule-based agents compared to genetic alterations. In this review, we conclude the genetic and epigenetic characteristics in ALL and discuss the future role of DNA methylation and histone modifications in predicting relapse, finally focus on the individual and precision therapy targeting epigenetic alterations.
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92
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Single-cell analysis identifies dynamic gene expression networks that govern B cell development and transformation. Nat Commun 2021; 12:6843. [PMID: 34824268 PMCID: PMC8617197 DOI: 10.1038/s41467-021-27232-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 11/02/2021] [Indexed: 12/22/2022] Open
Abstract
Integration of external signals and B-lymphoid transcription factor activities organise B cell lineage commitment through alternating cycles of proliferation and differentiation, producing a diverse repertoire of mature B cells. We use single-cell transcriptomics/proteomics to identify differentially expressed gene networks across B cell development and correlate these networks with subtypes of B cell leukemia. Here we show unique transcriptional signatures that refine the pre-B cell expansion stages into pre-BCR-dependent and pre-BCR-independent proliferative phases. These changes correlate with reciprocal changes in expression of the transcription factor EBF1 and the RNA binding protein YBX3, that are defining features of the pre-BCR-dependent stage. Using pseudotime analysis, we further characterize the expression kinetics of different biological modalities across B cell development, including transcription factors, cytokines, chemokines, and their associated receptors. Our findings demonstrate the underlying heterogeneity of developing B cells and characterise developmental nodes linked to B cell transformation.
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93
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Transcriptional and Mutational Profiling of B-Other Acute Lymphoblastic Leukemia for Improved Diagnostics. Cancers (Basel) 2021; 13:cancers13225653. [PMID: 34830809 PMCID: PMC8616234 DOI: 10.3390/cancers13225653] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/04/2021] [Accepted: 11/09/2021] [Indexed: 12/11/2022] Open
Abstract
B-cell precursor acute lymphoblastic leukemia (BCP-ALL) is the most common cancer in children, and significant progress has been made in diagnostics and the treatment of this disease based on the subtypes of BCP-ALL. However, in a large proportion of cases (B-other), recurrent BCP-ALL-associated genomic alterations remain unidentifiable by current diagnostic procedures. In this study, we performed RNA sequencing and analyzed gene fusions, expression profiles, and mutations in diagnostic samples of 185 children with BCP-ALL. Gene expression clustering showed that a subset of B-other samples partially clusters with some of the known subgroups, particularly DUX4-positive. Mutation analysis coupled with gene expression profiling revealed the presence of distinctive BCP-ALL subgroups, characterized by the presence of mutations in known ALL driver genes, e.g., PAX5 and IKZF1. Moreover, we identified novel fusion partners of lymphoid lineage transcriptional factors ETV6, IKZF1 and PAX5. In addition, we report on low blast count detection thresholds and show that the use of EDTA tubes for sample collection does not have adverse effects on sequencing and downstream analysis. Taken together, our findings demonstrate the applicability of whole-transcriptome sequencing for personalized diagnostics in pediatric ALL, including tentative classification of the B-other cases that are difficult to diagnose using conventional methods.
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94
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Alpár D, Egyed B, Bödör C, Kovács GT. Single-Cell Sequencing: Biological Insight and Potential Clinical Implications in Pediatric Leukemia. Cancers (Basel) 2021; 13:5658. [PMID: 34830811 PMCID: PMC8616124 DOI: 10.3390/cancers13225658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 11/05/2021] [Accepted: 11/09/2021] [Indexed: 01/15/2023] Open
Abstract
Single-cell sequencing (SCS) provides high-resolution insight into the genomic, epigenomic, and transcriptomic landscape of oncohematological malignancies including pediatric leukemia, the most common type of childhood cancer. Besides broadening our biological understanding of cellular heterogeneity, sub-clonal architecture, and regulatory network of tumor cell populations, SCS can offer clinically relevant, detailed characterization of distinct compartments affected by leukemia and identify therapeutically exploitable vulnerabilities. In this review, we provide an overview of SCS studies focused on the high-resolution genomic and transcriptomic scrutiny of pediatric leukemia. Our aim is to investigate and summarize how different layers of single-cell omics approaches can expectedly support clinical decision making in the future. Although the clinical management of pediatric leukemia underwent a spectacular improvement during the past decades, resistant disease is a major cause of therapy failure. Currently, only a small proportion of childhood leukemia patients benefit from genomics-driven therapy, as 15-20% of them meet the indication criteria of on-label targeted agents, and their overall response rate falls in a relatively wide range (40-85%). The in-depth scrutiny of various cell populations influencing the development, progression, and treatment resistance of different disease subtypes can potentially uncover a wider range of driver mechanisms for innovative therapeutic interventions.
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Affiliation(s)
- Donát Alpár
- HCEMM-SE Molecular Oncohematology Research Group, 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, H-1085 Budapest, Hungary; (D.A.); (B.E.); (C.B.)
| | - Bálint Egyed
- HCEMM-SE Molecular Oncohematology Research Group, 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, H-1085 Budapest, Hungary; (D.A.); (B.E.); (C.B.)
- 2nd Department of Pediatrics, Semmelweis University, H-1094 Budapest, Hungary
| | - Csaba Bödör
- HCEMM-SE Molecular Oncohematology Research Group, 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, H-1085 Budapest, Hungary; (D.A.); (B.E.); (C.B.)
| | - Gábor T. Kovács
- 2nd Department of Pediatrics, Semmelweis University, H-1094 Budapest, Hungary
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95
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Zhang XY, Dai HP, Zhang L, Liu SN, Dai Y, Wu DP, Tang XW. MRD-Negative Remission Induced in EP300-ZNF384 Positive B-ALL Patients by Tandem CD19/CD22 CAR T-Cell Therapy Bridging to Allogeneic Stem Cell Transplantation. Onco Targets Ther 2021; 14:5197-5204. [PMID: 34744437 PMCID: PMC8565984 DOI: 10.2147/ott.s324765] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 10/08/2021] [Indexed: 11/23/2022] Open
Abstract
EP300-ZNF384-positive B cell acute lymphoblastic leukemia (B-ALL) patients are reported to have a unique immunophenotype with high expression of CD19 and CD22, weak expression of CD20 and aberrant expression of CD13 and/or CD33, sensitivity to chemotherapy and a favorable outcome. To date, the cases of only 53 patients have been reported, albeit few reports on salvage therapy when conventional chemotherapies failed. Here, we describe two relapsed and refractory adult B-ALL patients with EP300-ZNF384 who achieved second remission through tandem CD19/CD22 CAR T-cell therapy. Grade 3 and 2 cytokine release syndrome were observed in cases 1 and 2, respectively. No immune effector cell-associated neurotoxicity syndrome was detected. Both patients underwent consolidate haploidentical hematopoietic stem cell transplantation (HSCT), and each maintained measurable residual disease-negative remission for 14 and 13 months, respectively. Our study suggests that CD19/CD22 CAR T-cell therapy bridging to allogeneic HSCT may be a viable option for EP300-ZNF384-positive B-ALL.
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Affiliation(s)
- Xin-Yue Zhang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, 215123, People's Republic of China
| | - Hai-Ping Dai
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, 215123, People's Republic of China
| | - Ling Zhang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, 215123, People's Republic of China
| | - Si-Ning Liu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, 215123, People's Republic of China
| | - Yin Dai
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, 215123, People's Republic of China
| | - De-Pei Wu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, 215123, People's Republic of China
| | - Xiao-Wen Tang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, 215123, People's Republic of China
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96
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Abstract
Fusion of the ZNF384 gene as the 3' partner to several different 5' partner genes occurs recurrently in B-cell precursor acute lymphoblastic and mixed phenotype B/myeloid leukemia. These canonical fusions (ZNF384r) contain the complete ZNF384 coding sequence and are associated with a specific gene expression signature. Cases with this signature, but without canonical ZNF384 fusions (ZNF384r-like cases), have been described previously. Although some have been shown to harbor ZNF362 fusions, the primary aberrations remain unknown in a major proportion. We studied 3 patients with the ZNF384r signature and unknown primary genetic background and identified a previously unknown class of genetic aberration affecting the last exon of ZNF384 and resulting in disruption of the C-terminal portion of the ZNF384 protein. Importantly, in 2 cases, the ZNF384 aberration, indel, was missed during the bioinformatic analysis but revealed by the manual, targeted reanalysis. Two cases with the novel aberrations had a mixed (B/myeloid) immunophenotype commonly associated with canonical ZNF384 fusions. In conclusion, we present leukemia cases with a novel class of ZNF384 aberrations that phenocopy leukemia with ZNF384r. Therefore, we show that part of the so-called ZNF384r-like cases represent the same genetic subtype as leukemia with canonical ZNF384 fusions.
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97
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Yeung DTO, Osborn MP, White DL. B-cell acute lymphoblastic leukaemia: recent discoveries in molecular pathology, their prognostic significance, and a review of the current classification. Br J Haematol 2021; 197:13-27. [PMID: 34747016 DOI: 10.1111/bjh.17879] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Acute lymphoblastic leukaemia (ALL) remains a leading cause of non-traumatic death in children, and the majority of adults diagnosed will succumb to the disease. Recent advances in molecular biology and bioinformatics have enabled more detailed genomic analysis and a better understanding of the molecular biology of ALL. A number of recurrent genomic drivers have recently been described, which not only aid in diagnosis and prognostication, but also may offer opportunities for specific therapeutic targeting. The present review summarises B-ALL genomic pathology at diagnosis, including lesions detectable using traditional cytogenetic methods as well as those detected only through advanced molecular techniques.
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Affiliation(s)
- David T O Yeung
- Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.,Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia.,Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Michael P Osborn
- Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia.,Royal Adelaide Hospital, Adelaide, South Australia, Australia.,Women's and Children's Hospital, North Adelaide, South Australia, Australia
| | - Deborah L White
- Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.,Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia.,School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia
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98
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Fregona V, Bayet M, Gerby B. Oncogene-Induced Reprogramming in Acute Lymphoblastic Leukemia: Towards Targeted Therapy of Leukemia-Initiating Cells. Cancers (Basel) 2021; 13:cancers13215511. [PMID: 34771671 PMCID: PMC8582707 DOI: 10.3390/cancers13215511] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 10/28/2021] [Indexed: 12/16/2022] Open
Abstract
Simple Summary Acute lymphoblastic leukemia is a heterogeneous disease characterized by a diversity of genetic alterations, following a sophisticated and controversial organization. In this review, we present and discuss the concepts exploring the cellular, molecular and functional heterogeneity of leukemic cells. We also review the emerging evidence indicating that cell plasticity and oncogene-induced reprogramming should be considered at the biological and clinical levels as critical mechanisms for identifying and targeting leukemia-initiating cells. Abstract Our understanding of the hierarchical structure of acute leukemia has yet to be fully translated into therapeutic approaches. Indeed, chemotherapy still has to take into account the possibility that leukemia-initiating cells may have a distinct chemosensitivity profile compared to the bulk of the tumor, and therefore are spared by the current treatment, causing the relapse of the disease. Therefore, the identification of the cell-of-origin of leukemia remains a longstanding question and an exciting challenge in cancer research of the last few decades. With a particular focus on acute lymphoblastic leukemia, we present in this review the previous and current concepts exploring the phenotypic, genetic and functional heterogeneity in patients. We also discuss the benefits of using engineered mouse models to explore the early steps of leukemia development and to identify the biological mechanisms driving the emergence of leukemia-initiating cells. Finally, we describe the major prospects for the discovery of new therapeutic strategies that specifically target their aberrant stem cell-like functions.
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99
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Zhou B, Chu X, Tian H, Liu T, Liu H, Gao W, Chen S, Hu S, Wu D, Xu Y. The clinical outcomes and genomic landscapes of acute lymphoblastic leukemia patients with E2A-PBX1: A 10-year retrospective study. Am J Hematol 2021; 96:1461-1471. [PMID: 34406703 DOI: 10.1002/ajh.26324] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 07/06/2021] [Accepted: 08/11/2021] [Indexed: 12/21/2022]
Abstract
The clinical outcomes and genomic features of E2A-PBX1 (TCF3-PBX1)-positive B-cell acute lymphoblastic leukemia (B-ALL) patients remain unclear. A total of 137 patients carrying E2A-PBX1 among 3164 B-ALL patients between 2009 and 2019 were retrospectively analyzed. The 5-year overall survival (OS) and disease-free survival (DFS) rates of the whole cohort were 68.6% and 61.0%, respectively. Age [DFS, p = 0.037; cumulative incidence of relapse (CIR), p = 0.005] and the level of minimal residual disease (MRD) after induction chemotherapy (OS, p = 0.020; DFS, p = 0.002; CIR, p = 0.006) were independent risk factors. In adolescents/adults, allogeneic hematopoietic stem cell transplantation (allo-HSCT) at first complete remission (CR1) significantly improved the 5-year prognosis (OS, p < 0.001; DFS, p < 0.001; CIR, p < 0.001). Haploidentical HSCT decreased the CIR compared with human leukocyte antigen-matched HSCT in adolescents/adults (p = 0.017). Mutations in PBX1, PAX5, CTCF and SETD2, amplification of AKT3, and deletion of CDKN2A/B were common in the total cohort, while transcriptome differences were found in the cell cycle, nerve growth factor (NGF) signaling pathway and transcriptional regulation by TP53 between adolescents/adults and children. Patients with multiple subclones at diagnosis tended to have unfavorable 3-year prognoses (DFS, p = 0.010; CIR, p = 0.021). Leukemia clones with DNA repair gene mutations showed aggressive and treatment-refractory phenotypes in this subtype of ALL. Our study indicated that age, the level of MRD and DNA repair gene mutations were associated with E2A-PBX1-positive B-ALL outcomes. Allo-HSCT, especially haploidentical HSCT, could improve the prognosis of adolescent/adult patients.
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Affiliation(s)
- Biqi Zhou
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Xinran Chu
- Department of Hematology and Oncology, The Children's Hospital of Soochow University, Suzhou, China
| | - Hong Tian
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Tianhui Liu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Hong Liu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Wei Gao
- Department of Hematology and Oncology, The Children's Hospital of Soochow University, Suzhou, China
| | - Suning Chen
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shaoyan Hu
- Department of Hematology and Oncology, The Children's Hospital of Soochow University, Suzhou, China
| | - Depei Wu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Yang Xu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
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100
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Zhang H, Cheng N, Li Z, Bai L, Fang C, Li Y, Zhang W, Dong X, Jiang M, Liang Y, Zhang S, Mi J, Zhu J, Zhang Y, Chen SJ, Zhao Y, Weng XQ, Hu W, Chen Z, Huang J, Meng G. DNA crosslinking and recombination-activating genes 1/2 (RAG1/2) are required for oncogenic splicing in acute lymphoblastic leukemia. Cancer Commun (Lond) 2021; 41:1116-1136. [PMID: 34699692 PMCID: PMC8626599 DOI: 10.1002/cac2.12234] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 08/09/2021] [Accepted: 10/12/2021] [Indexed: 02/05/2023] Open
Abstract
Background Abnormal alternative splicing is frequently associated with carcinogenesis. In B‐cell acute lymphoblastic leukemia (B‐ALL), double homeobox 4 fused with immunoglobulin heavy chain (DUX4/IGH) can lead to the aberrant production of E‐26 transformation‐specific family related gene abnormal transcript (ERGalt) and other splicing variants. However, the molecular mechanism underpinning this process remains elusive. Here, we aimed to know how DUX4/IGH triggers abnormal splicing in leukemia. Methods The differential intron retention analysis was conducted to identify novel DUX4/IGH‐driven splicing in B‐ALL patients. X‐ray crystallography, small angle X‐ray scattering (SAXS), and analytical ultracentrifugation were used to investigate how DUX4/IGH recognize double DUX4 responsive element (DRE)‐DRE sites. The ERGalt biogenesis and B‐cell differentiation assays were performed to characterize the DUX4/IGH crosslinking activity. To check whether recombination‐activating gene 1/2 (RAG1/2) was required for DUX4/IGH‐driven splicing, the proximity ligation assay, co‐immunoprecipitation, mammalian two hybrid characterizations, in vitro RAG1/2 cleavage, and shRNA knock‐down assays were performed. Results We reported previously unrecognized intron retention events in C‐type lectin domain family 12, member A abnormal transcript (CLEC12Aalt) and chromosome 6 open reading frame 89 abnormal transcript (C6orf89alt), where also harbored repetitive DRE‐DRE sites. Supportively, X‐ray crystallography and SAXS characterization revealed that DUX4 homeobox domain (HD)1‐HD2 might dimerize into a dumbbell‐shape trans configuration to crosslink two adjacent DRE sites. Impaired DUX4/IGH‐mediated crosslinking abolishes ERGalt, CLEC12Aalt, and C6orf89alt biogenesis, resulting in marked alleviation of its inhibitory effect on B‐cell differentiation. Furthermore, we also observed a rare RAG1/2‐mediated recombination signal sequence‐like DNA edition in DUX4/IGH target genes. Supportively, shRNA knock‐down of RAG1/2 in leukemic Reh cells consistently impaired the biogenesis of ERGalt, CLEC12Aalt, and C6orf89alt. Conclusions All these results suggest that DUX4/IGH‐driven DNA crosslinking is required for RAG1/2 recruitment onto the double tandem DRE‐DRE sites, catalyzing V(D)J‐like recombination and oncogenic splicing in acute lymphoblastic leukemia.
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Affiliation(s)
- Hao Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Nuo Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Zhihui Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Ling Bai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China.,Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610044, P. R. China
| | - Chengli Fang
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, P. R. China.,University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Yuwen Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Weina Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Xue Dong
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Minghao Jiang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Yang Liang
- Department of Hematologic Oncology, State key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Sujiang Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Jianqing Mi
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Jiang Zhu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Yu Zhang
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, P. R. China.,University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Sai-Juan Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Yajie Zhao
- Department of Geriatrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.,Medical Center on Aging of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China
| | - Xiang-Qin Weng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Weiguo Hu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China.,Department of Geriatrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China.,Medical Center on Aging of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China
| | - Zhu Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
| | - Jinyan Huang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China.,Biomedical Big Data Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310000, P. R. China.,Cancer Center, Zhejiang University, Hangzhou, Zhejiang, 310000, P. R. China
| | - Guoyu Meng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine and School of Life Sciences and Biotechnology, Shanghai JiaoTong University, Shanghai, 200025, P. R. China
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