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Boutzen H, Murison A, Oriecuia A, Bansal S, Arlidge C, Wang JCY, Lupien M, Kaufmann KB, Dick JE. Identification of leukemia stem cell subsets with distinct transcriptional, epigenetic and functional properties. Leukemia 2024:10.1038/s41375-024-02358-9. [PMID: 39169113 DOI: 10.1038/s41375-024-02358-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 07/02/2024] [Accepted: 07/17/2024] [Indexed: 08/23/2024]
Abstract
The leukemia stem cell (LSC) compartment is a complex reservoir fueling disease progression in acute myeloid leukemia (AML). The existence of heterogeneity within this compartment is well documented but prior studies have focused on genetic heterogeneity without being able to address functional heterogeneity. Understanding this heterogeneity is critical for the informed design of therapies targeting LSC, but has been hampered by LSC scarcity and the lack of reliable cell surface markers for viable LSC isolation. To overcome these challenges, we turned to the patient-derived OCI-AML22 cell model. This model includes functionally, transcriptionally and epigenetically characterized LSC broadly representative of LSC found in primary AML samples. Focusing on the pool of LSC, we used an integrated approach combining xenograft assays with single-cell analysis to identify two LSC subtypes with distinct transcriptional, epigenetic and functional properties. These LSC subtypes differed in depth of quiescence, differentiation potential, repopulation capacity, sensitivity to chemotherapy and could be isolated based on CD112 expression. A majority of AML patient samples had transcriptional signatures reflective of either LSC subtype, and some even showed coexistence within an individual sample. This work provides a framework for investigating the LSC compartment and designing combinatorial therapeutic strategies in AML.
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Affiliation(s)
- Héléna Boutzen
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 0A3, Canada.
| | - Alex Murison
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 0A3, Canada
| | - Alexa Oriecuia
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 0A3, Canada
| | - Suraj Bansal
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 0A3, Canada
| | - Christopher Arlidge
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 0A3, Canada
| | - Jean C Y Wang
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 0A3, Canada
- Division of Medical Oncology and Hematology, Department of Medicine, University Health Network, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Mathieu Lupien
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 0A3, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, M5S 1A4, Canada
| | - Kerstin B Kaufmann
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 0A3, Canada.
| | - John E Dick
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 0A3, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada.
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2
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Hassan N, Yi H, Malik B, Gaspard-Boulinc L, Samaraweera SE, Casolari DA, Seneviratne J, Balachandran A, Chew T, Duly A, Carter DR, Cheung BB, Norris M, Haber M, Kavallaris M, Marshall GM, Zhang XD, Liu T, Wang J, Liebermann DA, D’Andrea RJ, Wang JY. Loss of the stress sensor GADD45A promotes stem cell activity and ferroptosis resistance in LGR4/HOXA9-dependent AML. Blood 2024; 144:84-98. [PMID: 38579286 PMCID: PMC11251412 DOI: 10.1182/blood.2024024072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 04/07/2024] Open
Abstract
ABSTRACT The overall prognosis of acute myeloid leukemia (AML) remains dismal, largely because of the inability of current therapies to kill leukemia stem cells (LSCs) with intrinsic resistance. Loss of the stress sensor growth arrest and DNA damage-inducible 45 alpha (GADD45A) is implicated in poor clinical outcomes, but its role in LSCs and AML pathogenesis is unknown. Here, we define GADD45A as a key downstream target of G protein-coupled receptor (LGR)4 pathway and discover a regulatory role for GADD45A loss in promoting leukemia-initiating activity and oxidative resistance in LGR4/HOXA9-dependent AML, a poor prognosis subset of leukemia. Knockout of GADD45A enhances AML progression in murine and patient-derived xenograft (PDX) mouse models. Deletion of GADD45A induces substantial mutations, increases LSC self-renewal and stemness in vivo, and reduces levels of reactive oxygen species (ROS), accompanied by a decreased response to ROS-associated genotoxic agents (eg, ferroptosis inducer RSL3) and acquisition of an increasingly aggressive phenotype on serial transplantation in mice. Our single-cell cellular indexing of transcriptomes and epitopes by sequencing analysis on patient-derived LSCs in PDX mice and subsequent functional studies in murine LSCs and primary AML patient cells show that loss of GADD45A is associated with resistance to ferroptosis (an iron-dependent oxidative cell death caused by ROS accumulation) through aberrant activation of antioxidant pathways related to iron and ROS detoxification, such as FTH1 and PRDX1, upregulation of which correlates with unfavorable outcomes in patients with AML. These results reveal a therapy resistance mechanism contributing to poor prognosis and support a role for GADD45A loss as a critical step for leukemia-initiating activity and as a target to overcome resistance in aggressive leukemia.
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Affiliation(s)
- Nunki Hassan
- Cancer and Stem Cell Laboratory, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Kolling Institute, Sydney, NSW, Australia
| | - Hangyu Yi
- Cancer and Stem Cell Laboratory, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Kolling Institute, Sydney, NSW, Australia
| | - Bilal Malik
- Cancer and Stem Cell Laboratory, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Kolling Institute, Sydney, NSW, Australia
| | - Lucie Gaspard-Boulinc
- Cancer and Stem Cell Laboratory, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Kolling Institute, Sydney, NSW, Australia
- Department of Biology, Ecole Normale Supérieure, PSL University Paris, Paris, France
| | - Saumya E. Samaraweera
- Acute Leukaemia Laboratory, Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - Debora A. Casolari
- Acute Leukaemia Laboratory, Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - Janith Seneviratne
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Anushree Balachandran
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Tracy Chew
- Sydney Informatics Hub, Core Research Facilities, University of Sydney, Camperdown, NSW, Australia
| | - Alastair Duly
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Daniel R. Carter
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Belamy B. Cheung
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Murray Norris
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Michelle Haber
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Maria Kavallaris
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
- Australian Centre for NanoMedicine and ARC Centre of Excellence in Convergent Bio-Nano-Science and Technology, University of New South Wales, Sydney, NSW, Australia
| | - Glenn M. Marshall
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
- Kids Cancer Centre, Sydney Children’s Hospital, Randwick, NSW, Australia
| | - Xu Dong Zhang
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia
- Translational Research Institute, Henan Provincial People’s Hospital and People's Hospital of Zhengzhou University, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
| | - Tao Liu
- Children’s Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Jianlong Wang
- Department of Medicine, Columbia Center for Human Development, Columbia University Irving Medical Center, New York, NY
| | - Dan A. Liebermann
- Fels Institute for Cancer Research and Molecular Biology and Department of Medical Genetics and Molecular Biochemistry, School of Medicine, Temple University, Philadelphia, PA
| | - Richard J. D’Andrea
- Acute Leukaemia Laboratory, Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - Jenny Y. Wang
- Cancer and Stem Cell Laboratory, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Kolling Institute, Sydney, NSW, Australia
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3
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Qiu C, Zhou Y, Xiao X, Song T, Zeng D, Peng J. Stratification of Lung Adenocarcinoma Patients Based on In Silico and Immunohistochemistry Analyses of Oxidative Stress-Related Genes. Cancer Biother Radiopharm 2024. [PMID: 38949986 DOI: 10.1089/cbr.2024.0094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2024] Open
Abstract
Background: Lung adenocarcinoma (LUAD) remains heterogeneous in the prognosis of patients; oxidative stress (OS) has been widely linked to cancer progression. Therefore, it is necessary to explore the prognostic value of the OS-associated genes in LUAD. Methods: An OS-associated prognostic signature was developed using the Cox regression and random forest model in The Cancer Genome Atlas-LUAD dataset. Kaplan-Meier (K-M) survival curve and time-dependent receiver operating characteristic (tROC) curves were applied to evaluate and validate the predictive accuracy of this signature among the training and testing cohorts. A nomogram was constructed and also verified by the concordance index (C-index), calibration curves, and tROC curves, respectively. ESTIMATE algorithm and CIBERSORT algorithms were conducted to explore the signature's immune characteristics. Core target genes of the prognostic signature were identified in the protein-protein interaction network. Results: A six OS-associated prognostic gene signature (CDC25C, ERO1A, GRIA1, TERT, CAV1, BDNF) was developed. The tROC and K-M survival curves in the training and testing cohorts revealed that the signature had good and robust predictive capability to predict the overall survival of LUAD patients. Meanwhile, the risk score was an independent prognostic factor influencing patients' overall survival. The results of the C-index (0.714), calibration curves, and the 1-, 2-, and 3-year tROC curves (area under the curve = 0.703, 0.737, and 0.723, respectively) suggested that the nomogram had good predictive efficacy and prognostic value for LUAD. Then, the authors found that the high-risk group may be depletion or loss of antitumor function of immune cells. Finally, 10 core genes of the signature were predicted. Conclusion: Their study may provide a novel understanding for the identification of prognostic stratification in LUAD patients, as well as the regulation of OS-associated genes in LUAD progression.
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Affiliation(s)
- Chongrong Qiu
- Department of Emergency, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, China
- Department of Emergency, Ganzhou People's Hospital, Ganzhou, China
| | - Yuming Zhou
- Department of Emergency, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, China
- Department of Emergency, Ganzhou People's Hospital, Ganzhou, China
| | - Xiaoliu Xiao
- Department of Emergency, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, China
- Department of Emergency, Ganzhou People's Hospital, Ganzhou, China
| | - Tianjun Song
- Department of Medicine II, University Hospital, Munich, Germany
| | - Dongyun Zeng
- Clinicopathological Diagnosis & Research Center, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
- Key Laboratory of Tumor Molecular Pathology of Guangxi Higher Education Institutes, Baise, China
| | - Jingliang Peng
- Department of Emergency, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, China
- Department of Emergency, Ganzhou People's Hospital, Ganzhou, China
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4
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Sahasrabudhe DM, Liesveld JL, Minhajuddin M, Singh NA, Nath S, Kumar VM, Balys M, Evans AG, Azadniv M, Hansen JN, Becker MW, Sharon A, Thomas VK, Moore RG, Khera MK, Jordan CT, Singh RK. In silico predicted compound targeting the IQGAP1-GRD domain selectively inhibits growth of human acute myeloid leukemia. Sci Rep 2024; 14:12868. [PMID: 38834690 PMCID: PMC11150481 DOI: 10.1038/s41598-024-63392-2] [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: 04/08/2023] [Accepted: 05/28/2024] [Indexed: 06/06/2024] Open
Abstract
Acute myeloid leukemia (AML) is fatal in the majority of adults. Identification of new therapeutic targets and their pharmacologic modulators are needed to improve outcomes. Previous studies had shown that immunization of rabbits with normal peripheral WBCs that had been incubated with fluorodinitrobenzene elicited high titer antibodies that bound to a spectrum of human leukemias. We report that proteomic analyses of immunoaffinity-purified lysates of primary AML cells showed enrichment of scaffolding protein IQGAP1. Immunohistochemistry and gene-expression analyses confirmed IQGAP1 mRNA overexpression in various cytogenetic subtypes of primary human AML compared to normal hematopoietic cells. shRNA knockdown of IQGAP1 blocked proliferation and clonogenicity of human leukemia cell-lines. To develop small molecules targeting IQGAP1 we performed in-silico screening of 212,966 compounds, selected 4 hits targeting the IQGAP1-GRD domain, and conducted SAR of the 'fittest hit' to identify UR778Br, a prototypical agent targeting IQGAP1. UR778Br inhibited proliferation, induced apoptosis, resulted in G2/M arrest, and inhibited colony formation by leukemia cell-lines and primary-AML while sparing normal marrow cells. UR778Br exhibited favorable ADME/T profiles and drug-likeness to treat AML. In summary, AML shows response to IQGAP1 inhibition, and UR778Br, identified through in-silico studies, selectively targeted AML cells while sparing normal marrow.
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Affiliation(s)
- Deepak M Sahasrabudhe
- Wilmot Cancer Institute, University of Rochester Medical Center, 601 Elmwood Avenue, Box 704, Rochester, NY, 14618, USA.
- Department of Medicine, Hematology/Oncology, University of Rochester Medical Center, Rochester, NY, USA.
| | - Jane L Liesveld
- Wilmot Cancer Institute, University of Rochester Medical Center, 601 Elmwood Avenue, Box 704, Rochester, NY, 14618, USA
- Department of Medicine, Hematology/Oncology, University of Rochester Medical Center, Rochester, NY, USA
| | - Mohammad Minhajuddin
- Division of Hematology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, US
| | - Niloy A Singh
- Department of Medicine, Hematology/Oncology, University of Rochester Medical Center, Rochester, NY, USA
| | - Subhangi Nath
- Department of Chemistry, Birla Institute of Technology, Ranchi, Jharkhand, India
| | - Vishuwes Muthu Kumar
- Department of Chemistry, Birla Institute of Technology, Ranchi, Jharkhand, India
| | - Marlene Balys
- Genomics Research Center, University of Rochester Medical Center, Rochester, NY, USA
| | - Andrew G Evans
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Mitra Azadniv
- Department of Medicine, Hematology/Oncology, University of Rochester Medical Center, Rochester, NY, USA
| | - Jeanne N Hansen
- Department of Psychological and Brain Sciences, Colgate University, Hamilton, NY, USA
| | | | - Ashoke Sharon
- Department of Chemistry, Birla Institute of Technology, Ranchi, Jharkhand, India
| | - V Kaye Thomas
- Department of Pharmacology and Physiology, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Richard G Moore
- Division of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY, USA
| | - Manoj K Khera
- Presude Lifesciences Pvt Ltd., Uttam Nagar, New Delhi, 110059, India
| | - Craig T Jordan
- Division of Hematology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, US
| | - Rakesh K Singh
- Division of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY, USA.
- Wilmot Cancer Institute, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY, 14642, USA.
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5
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Shi X, Feng M, Nakada D. Metabolic dependencies of acute myeloid leukemia stem cells. Int J Hematol 2024:10.1007/s12185-024-03789-x. [PMID: 38750343 DOI: 10.1007/s12185-024-03789-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/26/2024] [Accepted: 05/07/2024] [Indexed: 05/25/2024]
Abstract
Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy primarily driven by an immature population of AML cells termed leukemia stem cells (LSCs) that are implicated in AML development, chemoresistance, and relapse. An emerging area of research in AML focuses on identifying and targeting the aberrant metabolism in LSCs. Dysregulated metabolism is involved in sustaining functional properties of LSCs, impeding myeloid differentiation, and evading programmed cell death, both in the process of leukemogenesis and in response to chemotherapy. This review discusses recent discoveries regarding the aberrant metabolic processes of AML LSCs that have begun to change the therapeutic landscape of AML.
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Affiliation(s)
- Xiangguo Shi
- Department of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Pennsylvania State University College of Medicine, Hershey, PA, USA.
| | - Mengdie Feng
- Department of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Daisuke Nakada
- Department of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
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6
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Yang X, Liu J, Liu W, Wu H, Wei Y, Guo X, Jia H, Can C, Wang D, Hu X, Ma D. circFAM193B interaction with PRMT6 regulates AML leukemia stem cells chemoresistance through altering the oxidative metabolism and lipid peroxidation. Leukemia 2024; 38:1057-1071. [PMID: 38424136 DOI: 10.1038/s41375-024-02189-8] [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: 10/11/2023] [Revised: 02/13/2024] [Accepted: 02/15/2024] [Indexed: 03/02/2024]
Abstract
Most forms of chemotherapy for acute myeloid leukemia (AML) are often ineffective in eliminating leukemic stem cells (LSCs), as their underlying mechanisms remain unclear. Here, we have identified circFAM193B, which regulates the redox biology of LSCs and is associated with unfavorable outcomes in AML patients. In vitro and in vivo assays suggested that circFAM193B significantly inhibits LSCs chemotherapy resistance and AML progression. Knockdown circFAM193B enhances mitochondrial OXPHOS function and inhibits the accumulation of reactive oxygen species and lipid peroxidation mediated by chemotherapy, which protects AML cells from oxidative stress-induced cell death. Mechanistically, circFAM193B physically interacts with arginine methyltransferase PRMT6 catalytic domain and enhances the transcription efficiency of key lipid peroxidation factor ALOX15 by decreasing H3R2me2a modification. In summary, we have identified circFAM193B was downregulated in LSCs to promote the survival of LSC by modulating energy metabolism and the redox balance in the postchemotherapy persistence of LSC. Our studies provide a conceptual advance and biological insights regarding the drug resistance of LSCs via circRNA mediated PRMT6-deposited methylarginine signaling.
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MESH Headings
- Humans
- Protein-Arginine N-Methyltransferases/metabolism
- Protein-Arginine N-Methyltransferases/genetics
- Leukemia, Myeloid, Acute/metabolism
- Leukemia, Myeloid, Acute/pathology
- Leukemia, Myeloid, Acute/drug therapy
- Leukemia, Myeloid, Acute/genetics
- Neoplastic Stem Cells/metabolism
- Neoplastic Stem Cells/pathology
- Drug Resistance, Neoplasm
- Mice
- Animals
- Lipid Peroxidation
- Oxidative Stress
- Cell Line, Tumor
- Reactive Oxygen Species/metabolism
- Nuclear Proteins
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Affiliation(s)
- Xinyu Yang
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Jinting Liu
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Wancheng Liu
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Hanyang Wu
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Yihong Wei
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Xiaodong Guo
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Hexiao Jia
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Can Can
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Dongmei Wang
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Xiang Hu
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China
| | - Daoxin Ma
- Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China.
- Shandong Key Laboratory of Immunohematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, PR China.
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7
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Kim D, Kim S, Song H, Gwak D, Min S, Byun JM, Koh Y, Hong J, Yoon S, Yun H, Shin D. Pursuing dynamics of minimal residual leukemic subclones in relapsed and refractory acute myeloid leukemia during conventional therapy. Cancer Med 2024; 13:e7182. [PMID: 38591109 PMCID: PMC11002636 DOI: 10.1002/cam4.7182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/23/2024] [Accepted: 03/29/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Acute myeloid leukemia (AML) is characterized by clonal heterogeneity, leading to frequent relapses and drug resistance despite intensive clinical therapy. Although AML's clonal architecture has been addressed in many studies, practical monitoring of dynamic changes in those subclones during relapse and treatment is still understudied. METHOD Fifteen longitudinal bone marrow (BM) samples were collected from three relapsed and refractory (R/R) AML patients. Using droplet digital polymerase chain reaction (ddPCR), the frequencies of patient's leukemic variants were assessed in seven cell populations that were isolated from each BM sample based on cellular phenotypes. By quantifying mutant clones at the diagnosis, remission, and relapse stages, the distribution of AML subclones was sequentially monitored. RESULTS Minimal residual (MR) leukemic subclones exhibit heterogeneous distribution among BM cell populations, including mature leukocyte populations. During AML progression, these subclones undergo active phenotypic transitions and repopulate into distinct cell population regardless of normal hematopoiesis hierarchic order. Of these, MR subclones in progenitor populations of patient BM predominantly carry MR leukemic properties, leading to more robust expansion and stubborn persistence than those in mature populations. Moreover, a minor subset of MR leukemic subclones could be sustained at an extremely low frequency without clonal expansion during relapse. CONCLUSIONS In this study, we observed treatment persistent MR leukemic subclones and their phenotypic changes during the treatment process of R/R AML patients. This underscores the importance of preemptive inhibition of clonal promiscuity in R/R AML, proposing a practical method for monitoring AML MR subclones.
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Affiliation(s)
- Dongchan Kim
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
| | - Sheehyun Kim
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Center for Precision MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Hyojin Song
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Center for Precision MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Daehyeon Gwak
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
| | - Suji Min
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
| | - Ja Min Byun
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Youngil Koh
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Junshik Hong
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Sung‐Soo Yoon
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Hongseok Yun
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Center for Precision MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Dong‐Yeop Shin
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
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8
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Paudel BB, Tan SF, Fox TE, Ung J, Golla U, Shaw JJP, Dunton W, Lee I, Fares WA, Patel S, Sharma A, Viny AD, Barth BM, Tallman MS, Cabot M, Garrett-Bakelman FE, Levine RL, Kester M, Feith DJ, Claxton D, Janes KA, Loughran TP. Acute myeloid leukemia stratifies as 2 clinically relevant sphingolipidomic subtypes. Blood Adv 2024; 8:1137-1142. [PMID: 38170742 PMCID: PMC10909712 DOI: 10.1182/bloodadvances.2023010535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 10/06/2023] [Accepted: 10/27/2023] [Indexed: 01/05/2024] Open
Affiliation(s)
- B. Bishal Paudel
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Su-Fern Tan
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Todd E. Fox
- Department of Pharmacology, University of Virginia, Charlottesville, VA
| | - Johnson Ung
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- Department of Microbiology/Immunology/Cancer Biology, University of Virginia, Charlottesville, VA
| | - Upendarrao Golla
- Department of Medicine, Division of Hematology and Oncology, Pennsylvania State University College of Medicine, Hershey, PA
| | - Jeremy J. P. Shaw
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Wendy Dunton
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Irene Lee
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- Department of Internal Medicine, Baylor College of Medicine, Houston, TX
| | - Wisam A. Fares
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Satyam Patel
- Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, PA
| | - Arati Sharma
- Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, PA
- Penn State Cancer Institute, Hershey, PA
| | - Aaron D. Viny
- Department of Medicine, Division of Hematology & Oncology, and of Genetics & Development, Herbert Irving Comprehensive Cancer Center, New York, NY
- Columbia Stem Cell Initiative, Columbia University Irving Medical Center, New York, NY
| | - Brian M. Barth
- Department of Chemistry, Biology, and Health Sciences, South Dakota School of Mines and Technology, Rapid City, SD
- Department of Natural Sciences, University of Alaska Southeast, Juneau, AK
| | - Martin S. Tallman
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Myles Cabot
- Department of Biochemistry & Molecular Biology, East Carolina University, Greenville, NC
- East Carolina Diabetes and Obesity Institute, Brody School of Medicine, East Carolina University, Greenville, NC
| | - Francine E. Garrett-Bakelman
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA
- University of Virginia Cancer Center, Charlottesville, VA
| | - Ross L. Levine
- Human Oncology and Pathogenesis Program and Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mark Kester
- Department of Pharmacology, University of Virginia, Charlottesville, VA
| | - David J. Feith
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- University of Virginia Cancer Center, Charlottesville, VA
| | - David Claxton
- Department of Medicine, Division of Hematology and Oncology, Pennsylvania State University College of Medicine, Hershey, PA
- Penn State Cancer Institute, Hershey, PA
| | - Kevin A. Janes
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA
- University of Virginia Cancer Center, Charlottesville, VA
| | - Thomas P. Loughran
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- University of Virginia Cancer Center, Charlottesville, VA
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9
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Han DJ, Kim S, Lee SY, Kang SJ, Moon Y, Kim HS, Kim M, Kim TM. Cellular abundance-based prognostic model associated with deregulated gene expression of leukemic stem cells in acute myeloid leukemia. Front Cell Dev Biol 2024; 12:1345660. [PMID: 38523628 PMCID: PMC10958127 DOI: 10.3389/fcell.2024.1345660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 02/06/2024] [Indexed: 03/26/2024] Open
Abstract
Background: Previous studies have reported that genes highly expressed in leukemic stem cells (LSC) may dictate the survival probability of patients and expression-based cellular deconvolution may be informative in forecasting prognosis. However, whether the prognosis of acute myeloid leukemia (AML) can be predicted using gene expression and deconvoluted cellular abundances is debatable. Methods: Nine different cell-type abundances of a training set composed of the AML samples of 422 patients, were used to build a model for predicting prognosis by least absolute shrinkage and selection operator Cox regression. This model was validated in two different validation sets, TCGA-LAML and Beat AML (n = 179 and 451, respectively). Results: We introduce a new prognosis predicting model for AML called the LSC activity (LSCA) score, which incorporates the abundance of 5 cell types, granulocyte-monocyte progenitors, common myeloid progenitors, CD45RA + cells, megakaryocyte-erythrocyte progenitors, and multipotent progenitors. Overall survival probabilities between the high and low LSCA score groups were significantly different in TCGA-LAML and Beat AML cohorts (log-rank p-value = 3.3 × 10 - 4 and 4.3 × 10 - 3 , respectively). Also, multivariate Cox regression analysis on these two validation sets shows that LSCA score is independent prognostic factor when considering age, sex, and cytogenetic risk (hazard ratio, HR = 2.17; 95% CI 1.40-3.34; p < 0.001 and HR = 1.20; 95% CI 1.02-1.43; p < 0.03, respectively). The performance of the LSCA score was comparable to other prognostic models, LSC17, APS, and CTC scores, as indicated by the area under the curve. Gene set variation analysis with six LSC-related functional gene sets indicated that high and low LSCA scores are associated with upregulated and downregulated genes in LSCs. Conclusion: We have developed a new prognosis prediction scoring system for AML patients, the LSCA score, which uses deconvoluted cell-type abundance only.
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Affiliation(s)
- Dong-Jin Han
- Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sunmin Kim
- Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seo-Young Lee
- Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Republic of Korea
| | - Su Jung Kang
- Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Youngbeen Moon
- Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hoon Seok Kim
- Department of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Catholic Genetic Laboratory Center, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Myungshin Kim
- Department of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Catholic Genetic Laboratory Center, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Tae-Min Kim
- Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Republic of Korea
- CMC Institute for Basic Medical Science, The Catholic Medical Center of The Catholic University of Korea, Seoul, Republic of Korea
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10
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Velasco‐Hernandez T, Trincado JL, Vinyoles M, Closa A, Martínez‐Moreno A, Gutiérrez‐Agüera F, Molina O, Rodríguez‐Cortez VC, Ximeno‐Parpal P, Fernández‐Fuentes N, Petazzi P, Beneyto‐Calabuig S, Velten L, Romecin P, Casquero R, Abollo‐Jiménez F, de la Guardia RD, Lorden P, Bataller A, Lapillonne H, Stam RW, Vives S, Torrebadell M, Fuster JL, Bueno C, Sarry J, Eyras E, Heyn H, Menéndez P. Integrative single-cell expression and functional studies unravels a sensitization to cytarabine-based chemotherapy through HIF pathway inhibition in AML leukemia stem cells. Hemasphere 2024; 8:e45. [PMID: 38435427 PMCID: PMC10895904 DOI: 10.1002/hem3.45] [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: 10/21/2023] [Revised: 12/11/2023] [Accepted: 01/13/2024] [Indexed: 03/05/2024] Open
Abstract
Relapse remains a major challenge in the clinical management of acute myeloid leukemia (AML) and is driven by rare therapy-resistant leukemia stem cells (LSCs) that reside in specific bone marrow niches. Hypoxia signaling maintains cells in a quiescent and metabolically relaxed state, desensitizing them to chemotherapy. This suggests the hypothesis that hypoxia contributes to the chemoresistance of AML-LSCs and may represent a therapeutic target to sensitize AML-LSCs to chemotherapy. Here, we identify HIFhigh and HIFlow specific AML subgroups (inv(16)/t(8;21) and MLLr, respectively) and provide a comprehensive single-cell expression atlas of 119,000 AML cells and AML-LSCs in paired diagnostic-relapse samples from these molecular subgroups. The HIF/hypoxia pathway signature is attenuated in AML-LSCs compared with more differentiated AML cells but is more expressed than in healthy hematopoietic cells. Importantly, chemical inhibition of HIF cooperates with standard-of-care chemotherapy to impair AML growth and to substantially eliminate AML-LSCs in vitro and in vivo. These findings support the HIF pathway in the stem cell-driven drug resistance of AML and unravel avenues for combinatorial targeted and chemotherapy-based approaches to specifically eliminate AML-LSCs.
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Affiliation(s)
- Talia Velasco‐Hernandez
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
| | - Juan L. Trincado
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
| | - Meritxell Vinyoles
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
| | - Adria Closa
- The John Curtin School of Medical ResearchThe Australian National UniversityCanberraAustralian Capital TerritoryAustralia
- EMBL Australia Partner Laboratory Network at the Australian National UniversityCanberraAustralian Capital TerritoryAustralia
| | | | | | - Oscar Molina
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
| | - Virginia C. Rodríguez‐Cortez
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
| | | | | | - Paolo Petazzi
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
| | - Sergi Beneyto‐Calabuig
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
- Universitat Pompeu Fabra (UPF)BarcelonaSpain
| | - Lars Velten
- Centre for Genomic Regulation (CRG)The Barcelona Institute of Science and TechnologyBarcelonaSpain
- Universitat Pompeu Fabra (UPF)BarcelonaSpain
| | - Paola Romecin
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
| | | | | | - Rafael D. de la Guardia
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- GENYO, Center for Genomics and Oncological ResearchPfizer/Universidad de Granada/Junta de AndalucíaGranadaSpain
| | - Patricia Lorden
- CNAG‐CRG, Centre for Genomic Regulation (CRG)Barcelona Institute of Science and Technology (BIST)BarcelonaSpain
| | - Alex Bataller
- Department of HematologyHospital Clínic de BarcelonaBarcelonaSpain
| | - Hélène Lapillonne
- Centre de Recherce Saint‐AntoineArmand‐Trousseau Childrens HospitalParisFrance
| | - Ronald W. Stam
- Princess Maxima Center for Pediatric OncologyUtrechtThe Netherlands
| | - Susana Vives
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Hematology DepartmentICO‐Hospital Germans Trias i PujolBarcelonaSpain
| | - Montserrat Torrebadell
- Hematology LaboratoryHospital Sant Joan de DéuBarcelonaSpain
- Leukemia and Other Pediatric Hemopathies. Developmental Tumors Biology Group. Institut de Recerca Hospital Sant Joan de DéuBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) ISCIIIMadridSpain
| | - Jose L. Fuster
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
- Sección de Oncohematología PediátricaHospital Clínico Universitario Virgen de la Arrixaca and Instituto Murciano de Investigación Biosanitaria (IMIB)MurciaSpain
| | - Clara Bueno
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
- CIBER‐ONCBarcelonaSpain
| | - Jean‐Emmanuel Sarry
- Centre de Recherches en Cancérologie de ToulouseUniversité de ToulouseInserm U1037, CNRS U5077ToulouseFrance
- LabEx ToucanToulouseFrance
- Équipe Labellisée Ligue Nationale Contre le CancerToulouseFrance
| | - Eduardo Eyras
- The John Curtin School of Medical ResearchThe Australian National UniversityCanberraAustralian Capital TerritoryAustralia
- EMBL Australia Partner Laboratory Network at the Australian National UniversityCanberraAustralian Capital TerritoryAustralia
- Hospital del Mar Medical Research Institute (IMIM)BarcelonaSpain
- Institució Catalana de Recerca i Estudis Avançats (ICREA)BarcelonaSpain
| | - Holger Heyn
- CNAG‐CRG, Centre for Genomic Regulation (CRG)Barcelona Institute of Science and Technology (BIST)BarcelonaSpain
| | - Pablo Menéndez
- Josep Carreras Leukemia Research InstituteBarcelonaSpain
- Red Española de Terapias Avanzadas (TERAV)‐Instituto de Salud Carlos III (ISCIII) (RICORS, RD21/0017/0029)MadridSpain
- CIBER‐ONCBarcelonaSpain
- Institució Catalana de Recerca i Estudis Avançats (ICREA)BarcelonaSpain
- Department of Biomedicine, School of MedicineUniversity of BarcelonaBarcelonaSpain
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11
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Pino JC, Posso C, Joshi SK, Nestor M, Moon J, Hansen JR, Hutchinson-Bunch C, Gritsenko MA, Weitz KK, Watanabe-Smith K, Long N, McDermott JE, Druker BJ, Liu T, Tyner JW, Agarwal A, Traer E, Piehowski PD, Tognon CE, Rodland KD, Gosline SJC. Mapping the proteogenomic landscape enables prediction of drug response in acute myeloid leukemia. Cell Rep Med 2024; 5:101359. [PMID: 38232702 PMCID: PMC10829797 DOI: 10.1016/j.xcrm.2023.101359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 10/20/2023] [Accepted: 12/10/2023] [Indexed: 01/19/2024]
Abstract
Acute myeloid leukemia is a poor-prognosis cancer commonly stratified by genetic aberrations, but these mutations are often heterogeneous and fail to consistently predict therapeutic response. Here, we combine transcriptomic, proteomic, and phosphoproteomic datasets with ex vivo drug sensitivity data to help understand the underlying pathophysiology of AML beyond mutations. We measure the proteome and phosphoproteome of 210 patients and combine them with genomic and transcriptomic measurements to identify four proteogenomic subtypes that complement existing genetic subtypes. We build a predictor to classify samples into subtypes and map them to a "landscape" that identifies specific drug response patterns. We then build a drug response prediction model to identify drugs that target distinct subtypes and validate our findings on cell lines representing various stages of quizartinib resistance. Our results show how multiomics data together with drug sensitivity data can inform therapy stratification and drug combinations in AML.
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Affiliation(s)
- James C Pino
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Camilo Posso
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Sunil K Joshi
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Michael Nestor
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jamie Moon
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Joshua R Hansen
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Chelsea Hutchinson-Bunch
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Marina A Gritsenko
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Karl K Weitz
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Kevin Watanabe-Smith
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
| | - Nicola Long
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
| | - Jason E McDermott
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR, USA
| | - Brian J Druker
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA; Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
| | - Tao Liu
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - Anupriya Agarwal
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA; Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - Elie Traer
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Paul D Piehowski
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Cristina E Tognon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Karin D Rodland
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA.
| | - Sara J C Gosline
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
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12
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Meriç N, Kocabaş F. Primary Human Leukemia Stem Cell (LSC) Isolation and Characterization. Methods Mol Biol 2024; 2736:151-161. [PMID: 37428345 DOI: 10.1007/7651_2023_497] [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] [Indexed: 07/11/2023]
Abstract
Leukemia stem cells (LSC) are thought to be the basis of leukemia progression since they are highly resistant to conventional chemotherapy. LSC isolation is critical in experimental studies, drug development, and application. Due to their likely hematopoietic stem cell (HSC) origin, LSCs have surface antigens that are similar to HSC. Surface markers such as CD34, CD123, CD133, and CD33 have been used extensively to assess LSCs. LSCs could be separated from other cells using magnetic selection (MS) or flow cytometry selection (FCS) methods using these markers. Understanding the role of LSCs in cancer progression and how to therapeutically target them in vitro and in vivo is critical for the development of LSC-targeting drug candidates. In this chapter, we set out to describe the primary human LSC purification and characterization processes used on patient samples with leukemia and lymphoma.
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Affiliation(s)
- Neslihan Meriç
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Istanbul, Türkiye.
- Faculty of Engineering and Life Sciences, Kütahya Health Sciences University, Kütahya, Türkiye.
| | - Fatih Kocabaş
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Istanbul, Türkiye.
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13
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Zhang YW, Velasco-Hernandez T, Mess J, Lalioti ME, Romero-Mulero MC, Obier N, Karantzelis N, Rettkowski J, Schönberger K, Karabacz N, Jäcklein K, Morishima T, Trincado JL, Romecin P, Martinez A, Takizawa H, Shoumariyeh K, Renders S, Zeiser R, Pahl HL, Béliveau F, Hébert J, Lehnertz B, Sauvageau G, Menendez P, Cabezas-Wallscheid N. GPRC5C drives branched-chain amino acid metabolism in leukemogenesis. Blood Adv 2023; 7:7525-7538. [PMID: 37639313 PMCID: PMC10761356 DOI: 10.1182/bloodadvances.2023010460] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/01/2023] [Accepted: 08/13/2023] [Indexed: 08/29/2023] Open
Abstract
Leukemia stem cells (LSCs) share numerous features with healthy hematopoietic stem cells (HSCs). G-protein coupled receptor family C group 5 member C (GPRC5C) is a regulator of HSC dormancy. However, GPRC5C functionality in acute myeloid leukemia (AML) is yet to be determined. Within patient AML cohorts, high GPRC5C levels correlated with poorer survival. Ectopic Gprc5c expression increased AML aggression through the activation of NF-κB, which resulted in an altered metabolic state with increased levels of intracellular branched-chain amino acids (BCAAs). This onco-metabolic profile was reversed upon loss of Gprc5c, which also abrogated the leukemia-initiating potential. Targeting the BCAA transporter SLC7A5 with JPH203 inhibited oxidative phosphorylation and elicited strong antileukemia effects, specifically in mouse and patient AML samples while sparing healthy bone marrow cells. This antileukemia effect was strengthened in the presence of venetoclax and azacitidine. Our results indicate that the GPRC5C-NF-κB-SLC7A5-BCAAs axis is a therapeutic target that can compromise leukemia stem cell function in AML.
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Affiliation(s)
- Yu Wei Zhang
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Talia Velasco-Hernandez
- Department of Biomedicine, Josep Carreras Leukaemia Research Institute, School of Medicine, University of Barcelona, Barcelona, Spain
| | - Julian Mess
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
- Spemann Graduate School for Biology and Medicine, University of Freiburg, Freiburg, Germany
- Centre for Integrative Biological Signalling Studies, University of Freiburg, Freiburg, Germany
| | | | - Mari Carmen Romero-Mulero
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Nadine Obier
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Nikolaos Karantzelis
- Department of Hematology, Oncology and Stem Cell Transplantation, University Medical Center Freiburg, Freiburg, Germany
| | - Jasmin Rettkowski
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
- Spemann Graduate School for Biology and Medicine, University of Freiburg, Freiburg, Germany
- Centre for Integrative Biological Signalling Studies, University of Freiburg, Freiburg, Germany
| | | | - Noémie Karabacz
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Karin Jäcklein
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Tatsuya Morishima
- Laboratory of Stem Cell Stress, International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan
- Laboratory of Hematopoietic Stem Cell Engineering, International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Juan Luis Trincado
- Department of Biomedicine, Josep Carreras Leukaemia Research Institute, School of Medicine, University of Barcelona, Barcelona, Spain
| | - Paola Romecin
- Department of Biomedicine, Josep Carreras Leukaemia Research Institute, School of Medicine, University of Barcelona, Barcelona, Spain
| | - Alba Martinez
- Department of Biomedicine, Josep Carreras Leukaemia Research Institute, School of Medicine, University of Barcelona, Barcelona, Spain
| | - Hitoshi Takizawa
- Laboratory of Stem Cell Stress, International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan
- Laboratory of Hematopoietic Stem Cell Engineering, International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Khalid Shoumariyeh
- Department of Medicine I, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium, Partner Site Freiburg, and German Cancer Research Center, Heidelberg, Germany
| | - Simon Renders
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Robert Zeiser
- Department of Medicine I, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Heike L. Pahl
- Department of Hematology, Oncology and Stem Cell Transplantation, University Medical Center Freiburg, Freiburg, Germany
| | - François Béliveau
- Quebec leukemia cell bank, Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada
| | - Josée Hébert
- Quebec leukemia cell bank, Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada
- Division of Hematology and Oncology, Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Bernhard Lehnertz
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Canada
| | - Guy Sauvageau
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Canada
| | - Pablo Menendez
- Department of Biomedicine, Josep Carreras Leukaemia Research Institute, School of Medicine, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, ISIII, Barcelona, Spain
- RICORS-TERAV Network, ISCIII, Madrid, Spain
- Instituciò Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - Nina Cabezas-Wallscheid
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
- Centre for Integrative Biological Signalling Studies, University of Freiburg, Freiburg, Germany
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14
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Lambo S, Trinh DL, Ries RE, Jin D, Setiadi A, Ng M, Leblanc VG, Loken MR, Brodersen LE, Dai F, Pardo LM, Ma X, Vercauteren SM, Meshinchi S, Marra MA. A longitudinal single-cell atlas of treatment response in pediatric AML. Cancer Cell 2023; 41:2117-2135.e12. [PMID: 37977148 DOI: 10.1016/j.ccell.2023.10.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 09/15/2023] [Accepted: 10/26/2023] [Indexed: 11/19/2023]
Abstract
Pediatric acute myeloid leukemia (pAML) is characterized by heterogeneous cellular composition, driver alterations and prognosis. Characterization of this heterogeneity and how it affects treatment response remains understudied in pediatric patients. We used single-cell RNA sequencing and single-cell ATAC sequencing to profile 28 patients representing different pAML subtypes at diagnosis, remission and relapse. At diagnosis, cellular composition differed between genetic subgroups. Upon relapse, cellular hierarchies transitioned toward a more primitive state regardless of subtype. Primitive cells in the relapsed tumor were distinct compared to cells at diagnosis, with under-representation of myeloid transcriptional programs and over-representation of other lineage programs. In some patients, this was accompanied by the appearance of a B-lymphoid-like hierarchy. Our data thus reveal the emergence of apparent subtype-specific plasticity upon treatment and inform on potentially targetable processes.
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Affiliation(s)
- Sander Lambo
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Diane L Trinh
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Rhonda E Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Dan Jin
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Audi Setiadi
- British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Pathology & Laboratory Medicine, Division of Hematopathology, Children's and Women's Health Centre of British Columbia, Vancouver, BC, Canada; Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Michelle Ng
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada; Department of Medical Genetics and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
| | - Veronique G Leblanc
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | | | | | - Fangyan Dai
- Hematologics, Incorporated, Seattle, WA, USA
| | | | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Suzanne M Vercauteren
- British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Pathology & Laboratory Medicine, Division of Hematopathology, Children's and Women's Health Centre of British Columbia, Vancouver, BC, Canada; Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Marco A Marra
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada; Department of Medical Genetics and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
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15
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Di Mambro A, Arroyo-Berdugo Y, Fioretti T, Randles M, Cozzuto L, Rajeeve V, Cevenini A, Austin MJ, Esposito G, Ponomarenko J, Lucas CM, Cutillas P, Gribben J, Williams O, Calle Y, Patel B, Esposito MT. SET-PP2A complex as a new therapeutic target in KMT2A (MLL) rearranged AML. Oncogene 2023; 42:3670-3683. [PMID: 37891368 PMCID: PMC10709139 DOI: 10.1038/s41388-023-02840-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 09/07/2023] [Accepted: 09/13/2023] [Indexed: 10/29/2023]
Abstract
KMT2A-rearranged (KMT2A-R) is an aggressive and chemo-refractory acute leukemia which mostly affects children. Transcriptomics-based characterization and chemical interrogation identified kinases as key drivers of survival and drug resistance in KMT2A-R leukemia. In contrast, the contribution and regulation of phosphatases is unknown. In this study we uncover the essential role and underlying mechanisms of SET, the endogenous inhibitor of Ser/Thr phosphatase PP2A, in KMT2A-R-leukemia. Investigation of SET expression in acute myeloid leukemia (AML) samples demonstrated that SET is overexpressed, and elevated expression of SET is correlated with poor prognosis and with the expression of MEIS and HOXA genes in AML patients. Silencing SET specifically abolished the clonogenic ability of KMT2A-R leukemic cells and the transcription of KMT2A targets genes HOXA9 and HOXA10. Subsequent mechanistic investigations showed that SET interacts with both KMT2A wild type and fusion proteins, and it is recruited to the HOXA10 promoter. Pharmacological inhibition of SET by FTY720 disrupted SET-PP2A interaction leading to cell cycle arrest and increased sensitivity to chemotherapy in KMT2A-R-leukemic models. Phospho-proteomic analyses revealed that FTY720 reduced the activity of kinases regulated by PP2A, including ERK1, GSK3β, AURB and PLK1 and led to suppression of MYC, supporting the hypothesis of a feedback loop among PP2A, AURB, PLK1, MYC, and SET. Our findings illustrate that SET is a novel player in KMT2A-R leukemia and they provide evidence that SET antagonism could serve as a novel strategy to treat this aggressive leukemia.
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Affiliation(s)
| | | | - Tiziana Fioretti
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, Napoli, Italy
| | - Michael Randles
- Chester Centre for Leukaemia Research, Chester Medical School, University of Chester, Chester, UK
| | - Luca Cozzuto
- Centre Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | | | - Armando Cevenini
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, Napoli, Italy
- Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Michael J Austin
- Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Gabriella Esposito
- CEINGE Biotecnologie Avanzate, Via Gaetano Salvatore, Napoli, Italy
- Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Via Pansini 5, 80131, Naples, Italy
| | - Julia Ponomarenko
- Centre Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- University Pompeu Fabra (UPF), Barcelona, Spain
| | - Claire M Lucas
- Chester Centre for Leukaemia Research, Chester Medical School, University of Chester, Chester, UK
| | - Pedro Cutillas
- Barts Cancer Institute, Queen Mary University of London, London, UK
| | - John Gribben
- Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Owen Williams
- Great Ormond Street Institute of Child Health London, UCL, London, UK
| | - Yolanda Calle
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Bela Patel
- Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Maria Teresa Esposito
- School of Life and Health Sciences, University of Roehampton, London, UK.
- School of Biosciences, University of Surrey, Guildford, UK.
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16
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Yang T, Mahmood N, Goldberg B, Cevallos J, Hsu P, Kolitz J, Cohen N, Zhang X. Myeloid/lymphoid neoplasm with a novel cryptic RBPMS::FGFR1 rearrangement presenting as de novo acute leukemias. Leuk Lymphoma 2023; 64:2338-2342. [PMID: 37791611 DOI: 10.1080/10428194.2023.2262640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/19/2023] [Indexed: 10/05/2023]
Affiliation(s)
- Tianyu Yang
- Northwell Health, Greenvale, NY, USA
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Greenvale, NY, USA
| | - Nayyara Mahmood
- Northwell Health, Greenvale, NY, USA
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Greenvale, NY, USA
| | - Bradley Goldberg
- Northwell Health, Greenvale, NY, USA
- Zuckerberg Cancer Center, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Greenvale, NY, USA
| | - Johnny Cevallos
- Northwell Health, Greenvale, NY, USA
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Greenvale, NY, USA
| | - Peihong Hsu
- Northwell Health, Greenvale, NY, USA
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Greenvale, NY, USA
| | - Jonathan Kolitz
- Northwell Health, Greenvale, NY, USA
- Zuckerberg Cancer Center, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Greenvale, NY, USA
| | - Ninette Cohen
- Northwell Health, Greenvale, NY, USA
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Greenvale, NY, USA
| | - Xinmin Zhang
- Northwell Health, Greenvale, NY, USA
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Greenvale, NY, USA
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17
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Galera P, Dilip D, Derkach A, Chan A, Zhang Y, Persuad S, Mishera T, Liu Y, Famulare C, Gao Q, Mata DA, Arcila M, Geyer MB, Stein E, Dogan A, Levine RL, Roshal M, Glass J, Xiao W. Acute myeloid leukemia with mixed phenotype is characterized by stemness transcriptomic signatures and limited lineage plasticity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.01.23297696. [PMID: 37961275 PMCID: PMC10635245 DOI: 10.1101/2023.11.01.23297696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Mixed phenotype (MP) in acute leukemias poses unique classification and management dilemmas and can be seen in entities other than de novo mixed phenotype acute leukemia (MPAL). Although WHO classification empirically recommends excluding AML with myelodysplasia related changes (AML-MRC) and therapy related AML (t-AML) with mixed phenotype (AML-MP) from MPAL, there is lack of studies investigating the clinical, genetic, and biologic features of AML-MP. We report the first cohort of AML-MRC and t-AML with MP integrating their clinical, immunophenotypic, genomic and transcriptomic features with comparison to MPAL and AML-MRC/t-AML without MP. Both AML cohorts with and without MP shared similar clinical features including adverse outcomes but were different from MPAL. The genomic landscape of AML-MP overlaps with AML without MP but differs from MPAL. AML-MP harbors more frequent RUNX1 mutations than AML without MP and MPAL. RUNX1 mutations did not impact the survival of patients with MPAL. Unsupervised hierarchal clustering based on immunophenotype identified biologically distinct clusters with phenotype/genotype correlation and outcome differences. Furthermore, transcriptomic analysis showed an enrichment for stemness signature in AML-MP and AML without MP as compared to MPAL. Lastly, MPAL but not AML-MP often switched to lymphoid only immunophenotype after treatment. Expression of transcription factors critical for lymphoid differentiation were upregulated only in MPAL, but not in AML-MP. Our study for the first time demonstrates that AML-MP clinically and biologically resembles its AML counterpart without MP and differs from MPAL, supporting the recommendation to exclude these patients from the diagnosis of MPAL. Future studies are needed to elucidate the molecular mechanism of mixed phenotype in AML. Key points AML-MP clinically and biologically resembles AML but differs from MPAL. AML-MP shows RUNX1 mutations, stemness signatures and limited lymphoid lineage plasticity.
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18
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Ma L, Zhang S, Liang Q, Huang W, Wang H, Pan E, Xu P, Zhang S, Tao F, Tang J, Qing R. CrMP-Sol database: classification, bioinformatic analyses and comparison of cancer-related membrane proteins and their water-soluble variant designs. BMC Bioinformatics 2023; 24:360. [PMID: 37743473 PMCID: PMC10518928 DOI: 10.1186/s12859-023-05477-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 09/12/2023] [Indexed: 09/26/2023] Open
Abstract
Membrane proteins are critical mediators for tumor progression and present enormous therapeutic potentials. Although gene profiling can identify their cancer-specific signatures, systematic correlations between protein functions and tumor-related mechanisms are still unclear. We present here the CrMP-Sol database ( https://bio-gateway.aigene.org.cn/g/CrMP ), which aims to breach the gap between the two. Machine learning was used to extract key functional descriptions for protein visualization in the 3D-space, where spatial distributions provide function-based predictive connections between proteins and cancer types. CrMP-Sol also presents QTY-enabled water-soluble designs to facilitate native membrane protein studies despite natural hydrophobicity. Five examples with varying transmembrane helices in different categories were used to demonstrate the feasibility. Native and redesigned proteins exhibited highly similar characteristics, predicted structures and binding pockets, and slightly different docking poses against known ligands, although task-specific designs are still required for proteins more susceptible to internal hydrogen bond formations. The database can accelerate therapeutic developments and biotechnological applications of cancer-related membrane proteins.
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Affiliation(s)
- Lina Ma
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Sitao Zhang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qi Liang
- Zhejiang Lab, Research Center for Intelligent Computing Platforms, Hangzhou, 311121, Zhejiang, China
| | - Wenting Huang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Hui Wang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Emily Pan
- The Lawrenceville School, 2500 Main Street, Lawrenceville, NJ, 08648, USA
| | - Ping Xu
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shuguang Zhang
- Media Lab, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - Fei Tao
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Jin Tang
- Zhejiang Lab, Research Center for Intelligent Computing Platforms, Hangzhou, 311121, Zhejiang, China.
| | - Rui Qing
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
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19
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Abdel-Aziz AK. Advances in acute myeloid leukemia differentiation therapy: A critical review. Biochem Pharmacol 2023; 215:115709. [PMID: 37506924 DOI: 10.1016/j.bcp.2023.115709] [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: 06/07/2023] [Revised: 07/22/2023] [Accepted: 07/25/2023] [Indexed: 07/30/2023]
Abstract
Acute myeloid leukemia (AML) is characterized by impaired differentiation and indefinite proliferation of abnormal myeloid progenitors. Although differentiating agents were deemed to revolutionize AML therapy, most treated non-APL AML patients are refractory or relapse. According to cancer stem cell model, leukemia-initiating cells are the root cause of relapse given their unidirectional potential to generate differentiated AML blasts. Nonetheless, accumulating evidences emphasize the de-differentiation plasticity and leukemogenic potential of mature AML blasts and the frailty of targeting leukemic stem cells per se. This review critically discusses the potential and challenges of (lessons learnt from) conventional and novel differentiating agents in AML therapy. Although differentiating agents might hold promise, they should be exploited within the context of a rationale combination regimen eradicating all maturation/differentiation states of AML cells. The results of the routinely used immunophenotypic markers and/or morphological analyses of differentiation should be carefully interpreted given their propensity to underestimate AML burden.
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Affiliation(s)
- Amal Kamal Abdel-Aziz
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Ain Shams University, Cairo 11566, Egypt; Smart Health Initiative, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudia Arabia.
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20
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Vasseur L, Fenwarth L, Lambert J, de Botton S, Figeac M, Villenet C, Heiblig M, Dumas PY, Récher C, Berthon C, Lemasle E, Lebon D, Lambert J, Terré C, Celli-Lebras K, Dombret H, Preudhomme C, Cheok M, Itzykson R, Duployez N. LSC17 score complements genetics and measurable residual disease in acute myeloid leukemia: an ALFA study. Blood Adv 2023; 7:4024-4034. [PMID: 37205853 PMCID: PMC10410128 DOI: 10.1182/bloodadvances.2023010155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/24/2023] [Accepted: 05/09/2023] [Indexed: 05/21/2023] Open
Abstract
Whether the LSC17 gene expression can improve risk stratification in the context of next generation sequencing-based risk stratification and measurable residual disease (MRD) in patients with intensively treated AML has not been explored. We analyzed LSC17 in 504 adult patients prospectively treated in the ALFA-0702 trial. RUNX1 or TP53 mutations were associated with higher LSC1 scores while CEBPA and NPM1 mutations were associated with lower scores. Patients with high LSC17 scores had a lower rate of complete response (CR) in a multivariable analysis (odds ratio, 0.41; P = .0007), accounting for European LeukemiaNet 2022 (ELN22), age, and white blood cell count (WBC). LSC17-high status was associated with shorter overall survival (OS) (3-year OS: 70.0% vs 52.7% in patients with LSC17-low status; P < .0001). In a multivariable analysis considering ELN22, age, and WBC, patients with LSC17-high status had shorter disease-free survival (DFS) (hazard ratio [HR], 1.36; P = .048) than those with LSC17-low status. In 123 patients with NPM1-mutated AML in CR, LSC17-high status predicted poorer DFS (HR, 2.34; P = .01), independent of age, WBC, ELN22 risk, and NPM1-MRD. LSC-low status and negative NPM1-MRD identified a subset comprising 48% of patients with mutated NPM1 with a 3-year OS from CR of 93.1% compared with 60.7% in those with LSC17-high status and/or positive NPM1-MRD (P = .0001). Overall, LSC17 assessment refines genetic risk stratification in adult patients with AML treated intensively. Combined with MRD, LSC17 identifies a subset of patients with NPM1-mutated AML with excellent clinical outcome.
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Affiliation(s)
- Loïc Vasseur
- Adolescents and Young Adults Hematology Department, St-Louis University Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Paris, France
- Biostatistical Department, St-Louis University Hospital, AP-HP, Paris, France
| | - Laurène Fenwarth
- CNRS, INSERM, CHU Lille, UMR9020-U1277 - Cancer Heterogeneity Plasticity and Resistance to Therapies, University of Lille, Lille, France
- Laboratory of Hematology, Centre Hospitalier Universitaire (CHU) Lille, Lille, France
| | - Jérôme Lambert
- Biostatistical Department, St-Louis University Hospital, AP-HP, Paris, France
| | - Stéphane de Botton
- Département d’hématologie et Département d’innovation thérapeutique, Gustave Roussy, Villejuif, France
| | - Martin Figeac
- CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, US 41 - UAR 2014 - PLBS, University of Lille, Lille, France
| | - Céline Villenet
- CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, US 41 - UAR 2014 - PLBS, University of Lille, Lille, France
| | - Maël Heiblig
- Hematology Department, Lyon-Sud University Hospital, Hospices Civils de Lyon, Pierre-Benite, France
| | - Pierre-Yves Dumas
- Department of Clinical Hematology, Bordeaux University Hospital, PESSAC, France
| | - Christian Récher
- Service d'Hématologie, CHU de Toulouse - Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
| | | | - Emilie Lemasle
- Hematology Department, Henri-Becquerel Cancer Center, Rouen, France
| | - Delphine Lebon
- Service d’Hématologie Clinique et Thérapie cellulaire, CHU d’Amiens, Amiens, France
| | - Juliette Lambert
- Service d'Hématologie et Oncologie, Centre Hospitalier de Versailles, Le Chesnay, France
| | - Christine Terré
- Laboratory of Hematology, Centre Hospitalier de Versailles, Le Chesnay, France
| | | | - Hervé Dombret
- Department of Hematology, St-Louis University Hospital, AP-HP, Paris, France
| | - Claude Preudhomme
- CNRS, INSERM, CHU Lille, UMR9020-U1277 - Cancer Heterogeneity Plasticity and Resistance to Therapies, University of Lille, Lille, France
- Laboratory of Hematology, Centre Hospitalier Universitaire (CHU) Lille, Lille, France
| | - Meyling Cheok
- CNRS, INSERM, CHU Lille, UMR9020-U1277 - Cancer Heterogeneity Plasticity and Resistance to Therapies, University of Lille, Lille, France
| | - Raphael Itzykson
- Department of Hematology, St-Louis University Hospital, AP-HP, Paris, France
- Génomes, biologie cellulaire et thérapeutique U944, INSERM, CNRS, Université Paris Cité, Paris, France
| | - Nicolas Duployez
- CNRS, INSERM, CHU Lille, UMR9020-U1277 - Cancer Heterogeneity Plasticity and Resistance to Therapies, University of Lille, Lille, France
- Laboratory of Hematology, Centre Hospitalier Universitaire (CHU) Lille, Lille, France
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21
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Pitts HA, Cheng CK, Cheung JS, Sun MKH, Yung YL, Chan HY, Wong RSM, Yip SF, Lau KN, Wong WS, Raghupathy R, Chan NPH, Ng MHL. SPINK2 Protein Expression Is an Independent Adverse Prognostic Marker in AML and Is Potentially Implicated in the Regulation of Ferroptosis and Immune Response. Int J Mol Sci 2023; 24:ijms24119696. [PMID: 37298647 DOI: 10.3390/ijms24119696] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 05/27/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
There is an urgent need for the identification as well as clinicopathological and functional characterization of potent prognostic biomarkers and therapeutic targets in acute myeloid leukemia (AML). Using immunohistochemistry and next-generation sequencing, we investigated the protein expression as well as clinicopathological and prognostic associations of serine protease inhibitor Kazal type 2 (SPINK2) in AML and examined its potential biological functions. High SPINK2 protein expression was an independent adverse biomarker for survival and an indicator of elevated therapy resistance and relapse risk. SPINK2 expression was associated with AML with an NPM1 mutation and an intermediate risk by cytogenetics and European LeukemiaNet (ELN) 2022 criteria. Furthermore, SPINK2 expression could refine the ELN2022prognostic stratification. Functionally, an RNA sequencing analysis uncovered a potential link of SPINK2 with ferroptosis and immune response. SPINK2 regulated the expression of certain P53 targets and ferroptosis-related genes, including SLC7A11 and STEAP3, and affected cystine uptake, intracellular iron levels and sensitivity to erastin, a specific ferroptosis inducer. Furthermore, SPINK2 inhibition consistently increased the expression of ALCAM, an immune response enhancer and promoter of T-cell activity. Additionally, we identified a potential small-molecule inhibitor of SPINK2, which requires further characterization. In summary, high SPINK2 protein expression was a potent adverse prognostic marker in AML and might represent a druggable target.
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Affiliation(s)
- Herbert Augustus Pitts
- Blood Cancer Cytogenetics and Genomics Laboratory, Department of Anatomical & Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chi-Keung Cheng
- Blood Cancer Cytogenetics and Genomics Laboratory, Department of Anatomical & Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joyce Sin Cheung
- Blood Cancer Cytogenetics and Genomics Laboratory, Department of Anatomical & Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Murphy Ka-Hei Sun
- Blood Cancer Cytogenetics and Genomics Laboratory, Department of Anatomical & Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuk-Lin Yung
- Blood Cancer Cytogenetics and Genomics Laboratory, Department of Anatomical & Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hoi-Yun Chan
- Blood Cancer Cytogenetics and Genomics Laboratory, Department of Anatomical & Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Raymond S M Wong
- Sir Y.K. Pao Centre for Cancer, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Sze-Fai Yip
- Department of Clinical Pathology, Tuen Mun Hospital, Hong Kong SAR, China
| | - Ka-Ngai Lau
- Department of Clinical Pathology, Tuen Mun Hospital, Hong Kong SAR, China
| | - Wai Shan Wong
- Pathology Department, Queen Elizabeth Hospital, Hong Kong SAR, China
| | - Radha Raghupathy
- Department of Clinical Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Natalie P H Chan
- Blood Cancer Cytogenetics and Genomics Laboratory, Department of Anatomical & Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Margaret H L Ng
- Blood Cancer Cytogenetics and Genomics Laboratory, Department of Anatomical & Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory in Oncology in South China, The Chinese University of Hong Kong, Hong Kong SAR, China
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22
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Janizek JD, Dincer AB, Celik S, Chen H, Chen W, Naxerova K, Lee SI. Uncovering expression signatures of synergistic drug responses via ensembles of explainable machine-learning models. Nat Biomed Eng 2023; 7:811-829. [PMID: 37127711 PMCID: PMC11149694 DOI: 10.1038/s41551-023-01034-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 04/01/2023] [Indexed: 05/03/2023]
Abstract
Machine learning may aid the choice of optimal combinations of anticancer drugs by explaining the molecular basis of their synergy. By combining accurate models with interpretable insights, explainable machine learning promises to accelerate data-driven cancer pharmacology. However, owing to the highly correlated and high-dimensional nature of transcriptomic data, naively applying current explainable machine-learning strategies to large transcriptomic datasets leads to suboptimal outcomes. Here by using feature attribution methods, we show that the quality of the explanations can be increased by leveraging ensembles of explainable machine-learning models. We applied the approach to a dataset of 133 combinations of 46 anticancer drugs tested in ex vivo tumour samples from 285 patients with acute myeloid leukaemia and uncovered a haematopoietic-differentiation signature underlying drug combinations with therapeutic synergy. Ensembles of machine-learning models trained to predict drug combination synergies on the basis of gene-expression data may improve the feature attribution quality of complex machine-learning models.
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Affiliation(s)
- Joseph D Janizek
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Ayse B Dincer
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Safiye Celik
- Recursion Pharmaceuticals, Salt Lake City, UT, USA
| | - Hugh Chen
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - William Chen
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Kamila Naxerova
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Su-In Lee
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
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23
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Srinivasan Rajsri K, Roy N, Chakraborty S. Acute Myeloid Leukemia Stem Cells in Minimal/Measurable Residual Disease Detection. Cancers (Basel) 2023; 15:2866. [PMID: 37345204 PMCID: PMC10216329 DOI: 10.3390/cancers15102866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/14/2023] [Accepted: 05/17/2023] [Indexed: 06/23/2023] Open
Abstract
Acute myeloid leukemia (AML) is a hematological malignancy characterized by an abundance of incompletely matured or immature clonally derived hematopoietic precursors called leukemic blasts. Rare leukemia stem cells (LSCs) that can self-renew as well as give rise to leukemic progenitors comprising the bulk of leukemic blasts are considered the cellular reservoir of disease initiation and maintenance. LSCs are widely thought to be relatively resistant as well as adaptive to chemotherapy and can cause disease relapse. Therefore, it is imperative to understand the molecular bases of LSC forms and functions during different stages of disease progression, so we can more accurately identify these cells and design therapies to target them. Irrespective of the morphological, cytogenetic, and cellular heterogeneity of AML, the uniform, singularly important and independently significant prognosticator of disease response to therapy and patient outcome is measurable or minimal residual disease (MRD) detection, defined by residual disease detection below the morphology-based 5% blast threshold. The importance of LSC identification and frequency estimation during MRD detection, in order to make MRD more effective in predicting disease relapse and modifying therapeutic regimen is becoming increasingly apparent. This review focuses on summarizing functional and cellular composition-based LSC identification and linking those studies to current techniques of MRD detection to suggest LSC-inclusive MRD detection as well as outline outstanding questions that need to be addressed to improve the future of AML clinical management and treatment outcomes.
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Affiliation(s)
- Kritika Srinivasan Rajsri
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA; (K.S.R.); (N.R.)
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, NY 10010, USA
| | - Nainita Roy
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA; (K.S.R.); (N.R.)
| | - Sohini Chakraborty
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA; (K.S.R.); (N.R.)
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24
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Turkalj S, Jakobsen NA, Groom A, Metzner M, Riva SG, Gür ER, Usukhbayar B, Salazar MA, Hentges LD, Mickute G, Clark K, Sopp P, Davies JOJ, Hughes JR, Vyas P. GTAC enables parallel genotyping of multiple genomic loci with chromatin accessibility profiling in single cells. Cell Stem Cell 2023; 30:722-740.e11. [PMID: 37146586 DOI: 10.1016/j.stem.2023.04.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 02/23/2023] [Accepted: 04/12/2023] [Indexed: 05/07/2023]
Abstract
Understanding clonal evolution and cancer development requires experimental approaches for characterizing the consequences of somatic mutations on gene regulation. However, no methods currently exist that efficiently link high-content chromatin accessibility with high-confidence genotyping in single cells. To address this, we developed Genotyping with the Assay for Transposase-Accessible Chromatin (GTAC), enabling accurate mutation detection at multiple amplified loci, coupled with robust chromatin accessibility readout. We applied GTAC to primary acute myeloid leukemia, obtaining high-quality chromatin accessibility profiles and clonal identities for multiple mutations in 88% of cells. We traced chromatin variation throughout clonal evolution, showing the restriction of different clones to distinct differentiation stages. Furthermore, we identified switches in transcription factor motif accessibility associated with a specific combination of driver mutations, which biased transformed progenitors toward a leukemia stem cell-like chromatin state. GTAC is a powerful tool to study clonal heterogeneity across a wide spectrum of pre-malignant and neoplastic conditions.
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Affiliation(s)
- Sven Turkalj
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Niels Asger Jakobsen
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, NIHR Oxford Biomedical Research Centre, Oxford, UK; Department of Haematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Angus Groom
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Marlen Metzner
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Simone G Riva
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - E Ravza Gür
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Batchimeg Usukhbayar
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Mirian Angulo Salazar
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Lance D Hentges
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Gerda Mickute
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Kevin Clark
- Flow Cytometry Facility, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Paul Sopp
- Flow Cytometry Facility, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - James O J Davies
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, NIHR Oxford Biomedical Research Centre, Oxford, UK; Department of Haematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Jim R Hughes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Paresh Vyas
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, NIHR Oxford Biomedical Research Centre, Oxford, UK; Department of Haematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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25
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Paudel BB, Tan SF, Fox TE, Ung J, Shaw J, Dunton W, Lee I, Sharma A, Viny AD, Barth BM, Tallman MS, Cabot M, Garrett-Bakelman FE, Levine RL, Kester M, Claxton D, Feith DJ, Janes KA, Loughran TP. Acute myeloid leukemia stratifies as two clinically relevant sphingolipidomic subtypes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.13.536805. [PMID: 37131653 PMCID: PMC10153188 DOI: 10.1101/2023.04.13.536805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Acute myeloid leukemia (AML) is an aggressive disease with complex and heterogeneous biology. Although several genomic classifications have been proposed, there is a growing interest in going beyond genomics to stratify AML. In this study, we profile the sphingolipid family of bioactive molecules in 213 primary AML samples and 30 common human AML cell lines. Using an integrative approach, we identify two distinct sphingolipid subtypes in AML characterized by a reciprocal abundance of hexosylceramide (Hex) and sphingomyelin (SM) species. The two Hex-SM clusters organize diverse samples more robustly than known AML driver mutations and are coupled to latent transcriptional states. Using transcriptomic data, we develop a machine-learning classifier to infer the Hex-SM status of AML cases in TCGA and BeatAML clinical repositories. The analyses show that the sphingolipid subtype with deficient Hex and abundant SM is enriched for leukemic stemness transcriptional programs and comprises an unappreciated high-risk subgroup with poor clinical outcomes. Our sphingolipid-focused examination of AML identifies patients least likely to benefit from standard of care and raises the possibility that sphingolipidomic interventions could switch the subtype of AML patients who otherwise lack targetable alternatives.
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Affiliation(s)
- B. Bishal Paudel
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Su-Fern Tan
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Todd E. Fox
- Department of Pharmacology, University of Virginia, Charlottesville, VA
| | - Johnson Ung
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- Department of Microbiology, Immunology & Cancer Biology, University of Virginia, Charlottesville, VA
| | - Jeremy Shaw
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Wendy Dunton
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Irene Lee
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Arati Sharma
- Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, PA
- Penn State Cancer Institute, Hershey, PA
| | - Aaron D. Viny
- Departments of Medicine, Division of Hematology & Oncology, and of Genetics & Development, Columbia Stem Cell Initiative, Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - Brian M. Barth
- Department of Chemistry, Biology, and Health Sciences, South Dakota School of Mines and Technology, Rapid City, SD
| | - Martin S. Tallman
- Northwestern University Feinberg School of Medicine Robert H. Lurie Comprehensive Cancer Center Chicago, IL
| | - Myles Cabot
- Department of Biochemistry & Molecular Biology, Brody School of Medicine, and the East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC
| | - Francine E. Garrett-Bakelman
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA
- University of Virginia Comprehensive Cancer Center, Charlottesville, VA
| | - Ross L. Levine
- Human Oncology and Pathogenesis Program and Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mark Kester
- Department of Pharmacology, University of Virginia, Charlottesville, VA
- University of Virginia Comprehensive Cancer Center, Charlottesville, VA
| | - David Claxton
- Penn State Cancer Institute, Hershey, PA
- Department of Medicine, Division of Hematology and Oncology, Pennsylvania State University College of Medicine, Hershey, PA
| | - David J. Feith
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- University of Virginia Comprehensive Cancer Center, Charlottesville, VA
| | - Kevin A. Janes
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA
- University of Virginia Comprehensive Cancer Center, Charlottesville, VA
| | - Thomas P. Loughran
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- University of Virginia Comprehensive Cancer Center, Charlottesville, VA
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26
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Penter L, Liu Y, Wolff JO, Yang L, Taing L, Jhaveri A, Southard J, Patel M, Cullen NM, Pfaff KL, Cieri N, Oliveira G, Kim-Schulze S, Ranasinghe S, Leonard R, Robertson T, Morgan EA, Chen HX, Song MH, Thurin M, Li S, Rodig SJ, Cibulskis C, Gabriel S, Bachireddy P, Ritz J, Streicher H, Neuberg DS, Hodi FS, Davids MS, Gnjatic S, Livak KJ, Altreuter J, Michor F, Soiffer RJ, Garcia JS, Wu CJ. Mechanisms of response and resistance to combined decitabine and ipilimumab for advanced myeloid disease. Blood 2023; 141:1817-1830. [PMID: 36706355 PMCID: PMC10122106 DOI: 10.1182/blood.2022018246] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 01/29/2023] Open
Abstract
The challenge of eradicating leukemia in patients with acute myelogenous leukemia (AML) after initial cytoreduction has motivated modern efforts to combine synergistic active modalities including immunotherapy. Recently, the ETCTN/CTEP 10026 study tested the combination of the DNA methyltransferase inhibitor decitabine together with the immune checkpoint inhibitor ipilimumab for AML/myelodysplastic syndrome (MDS) either after allogeneic hematopoietic stem cell transplantation (HSCT) or in the HSCT-naïve setting. Integrative transcriptome-based analysis of 304 961 individual marrow-infiltrating cells for 18 of 48 subjects treated on study revealed the strong association of response with a high baseline ratio of T to AML cells. Clinical responses were predominantly driven by decitabine-induced cytoreduction. Evidence of immune activation was only apparent after ipilimumab exposure, which altered CD4+ T-cell gene expression, in line with ongoing T-cell differentiation and increased frequency of marrow-infiltrating regulatory T cells. For post-HSCT samples, relapse could be attributed to insufficient clearing of malignant clones in progenitor cell populations. In contrast to AML/MDS bone marrow, the transcriptomes of leukemia cutis samples from patients with durable remission after ipilimumab monotherapy showed evidence of increased infiltration with antigen-experienced resident memory T cells and higher expression of CTLA-4 and FOXP3. Altogether, activity of combined decitabine and ipilimumab is impacted by cellular expression states within the microenvironmental niche of leukemic cells. The inadequate elimination of leukemic progenitors mandates urgent development of novel approaches for targeting these cell populations to generate long-lasting responses. This trial was registered at www.clinicaltrials.gov as #NCT02890329.
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Affiliation(s)
- Livius Penter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
- Department of Hematology, Oncology, and Tumorimmunology, Campus Virchow Klinikum, Berlin, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Yang Liu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | | | - Lin Yang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Len Taing
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Aashna Jhaveri
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Jackson Southard
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA
| | - Manishkumar Patel
- Human Immune Monitoring Center at the Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nicole M. Cullen
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Kathleen L. Pfaff
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Nicoletta Cieri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
| | - Giacomo Oliveira
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center at the Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Rebecca Leonard
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Taylor Robertson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Elizabeth A. Morgan
- Harvard Medical School, Boston, MA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - Helen X. Chen
- Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Minkyung H. Song
- Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Magdalena Thurin
- Cancer Diagnosis Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Shuqiang Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA
| | - Scott J. Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - Carrie Cibulskis
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Stacey Gabriel
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | | | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Howard Streicher
- Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Donna S. Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - F. Stephen Hodi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Matthew S. Davids
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Sacha Gnjatic
- Human Immune Monitoring Center at the Icahn School of Medicine at Mount Sinai, New York, NY
| | - Kenneth J. Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA
| | | | - Franziska Michor
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Robert J. Soiffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Jacqueline S. Garcia
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Catherine J. Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
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27
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Pogosova-Agadjanyan EL, Hua X, Othus M, Appelbaum FR, Chauncey TR, Erba HP, Fitzgibbon MP, Jenkins IC, Fang M, Lee SC, Moseley A, Naru J, Radich JP, Smith JL, Willborg BE, Willman CL, Wu F, Meshinchi S, Stirewalt DL. Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients. Biomark Res 2023; 11:31. [PMID: 36927800 PMCID: PMC10022072 DOI: 10.1186/s40364-023-00461-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/30/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Studies have not systematically compared the ability to verify performance of prognostic transcripts in paired bulk mononuclear cells versus viable CD34-expressing leukemic blasts from patients with acute myeloid leukemia. We hypothesized that examining the homogenous leukemic blasts will yield different biological information and may improve prognostic performance of expression biomarkers. METHODS To assess the impact of cellular heterogeneity on expression biomarkers in acute myeloid leukemia, we systematically examined paired mononuclear cells and viable CD34-expressing leukemic blasts from SWOG diagnostic specimens. After enrichment, patients were assigned into discovery and validation cohorts based on availability of extracted RNA. Analyses of RNA sequencing data examined how enrichment impacted differentially expressed genes associated with pre-analytic variables, patient characteristics, and clinical outcomes. RESULTS Blast enrichment yielded significantly different expression profiles and biological pathways associated with clinical characteristics (e.g., cytogenetics). Although numerous differentially expressed genes were associated with clinical outcomes, most lost their prognostic significance in the mononuclear cells and blasts after adjusting for age and ELN risk, with only 11 genes remaining significant for overall survival in both cell populations (CEP70, COMMD7, DNMT3B, ECE1, LNX2, NEGR1, PIK3C2B, SEMA4D, SMAD2, TAF8, ZNF444). To examine the impact of enrichment on biomarker verification, these 11 candidate biomarkers were examined by quantitative RT/PCR in the validation cohort. After adjusting for ELN risk and age, expression of 4 genes (CEP70, DNMT3B, ECE1, and PIK3CB) remained significantly associated with overall survival in the blasts, while none met statistical significance in mononuclear cells. CONCLUSIONS This study provides insights into biological information gained/lost by examining viable CD34-expressing leukemic blasts versus mononuclear cells from the same patient and shows an improved verification rate for expression biomarkers in blasts.
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Affiliation(s)
- Era L Pogosova-Agadjanyan
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Xing Hua
- SWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Megan Othus
- SWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Frederick R Appelbaum
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Departments of Oncology and Hematology, University of Washington, Seattle, WA, USA
| | - Thomas R Chauncey
- Departments of Oncology and Hematology, University of Washington, Seattle, WA, USA
- VA Puget Sound Health Care System, Seattle, WA, USA
| | | | | | - Isaac C Jenkins
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Clinical Biostatistics, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Min Fang
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Stanley C Lee
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Anna Moseley
- SWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jasmine Naru
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Jerald P Radich
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Departments of Oncology and Hematology, University of Washington, Seattle, WA, USA
| | - Jenny L Smith
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Brooke E Willborg
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
| | - Cheryl L Willman
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Rochester, MN, USA
| | - Feinan Wu
- Bioinformatics Shared Resource, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Derek L Stirewalt
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, D5-112, Seattle, WA, 98109, USA.
- Departments of Oncology and Hematology, University of Washington, Seattle, WA, USA.
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28
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He X, Hu J, Yan C, Liu X, Zhao Y, Yang P, Wang J, Li S, Zhang W, Dong G, Zhang W, Jing H. High trophinin-associated protein expression predicts good survival in acute myeloid leukemia with normal cytogenetics. Cancer Biomark 2023; 36:221-230. [PMID: 36938721 DOI: 10.3233/cbm-210042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
BACKGROUND Nearly half of adult acute myeloid leukemia (AML) patients were classified into cytogenetic normal acute myeloid leukemia (CN-AML). The expression level of Trophinin associated protein (TROAP) was proven to be associated with the prognosis of several cancers, but it is still unclear in the prognosis of patients with CN-AML. METHODS We integrated CN-AML patients samples from 4 datasets to analyze the relationship between TROAP expression and the survival of CN-AML. In addition, we investigated 92 AML patients of The Cancer Genome Atlas (TCGA) database to analyze the relationship between TROAP expression and the survival of AML patients received chemotherapy. We investigated the relationship between the expression of TROAP and drug sensitivity in AML cell lines. RESULTS CN-AML patients with high TROAP expression were related to good event-free survival (EFS) and overall survival (OS). In AML patients received chemotherapy, high TROAP expression was associated with good survival prognosis. Additionally, the expression of TROAP gene in leukemia stem cells (LSC) + group was lower. Among multiple drugs, the lower the expression of TROAP, the lower the IC50. CONCLUSION TROAP could serve as an independent predictor of CN-AML patients and could act as a potential biomarker for the prognosis of CN-AML. TROAP expression levels were closely correlated with the drug sensitivity of multiple drugs.
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Affiliation(s)
- Xue He
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Pathology, Capital Medical University, Beijing, China.,Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jing Hu
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China.,Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Changjian Yan
- The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.,Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoni Liu
- Department of Respiratory Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
| | - Yali Zhao
- General Practice Medicine, The First People's Hospital of Huzhou, Huzhou, Zhejiang, China
| | - Ping Yang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
| | - Jing Wang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
| | - Shaoxiang Li
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Pathology, Capital Medical University, Beijing, China
| | - Wei Zhang
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Pathology, Capital Medical University, Beijing, China
| | - Gehong Dong
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Pathology, Capital Medical University, Beijing, China
| | - Weilong Zhang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
| | - Hongmei Jing
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
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29
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Illangeswaran RSS, Jebanesan DZP, Sivakumar KK, Vidhyadharan RT, Rajamani BM, Janet NB, David E, Velayudhan SR, Mathews V, Balasubramanian P. Chemotherapeutic drugs elicit stemness and metabolic alteration to mediate acquired drug-resistant phenotype in acute myeloid leukemia cell lines. Leuk Res 2023; 128:107054. [PMID: 36906941 DOI: 10.1016/j.leukres.2023.107054] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/25/2023] [Accepted: 03/01/2023] [Indexed: 03/06/2023]
Abstract
Chemotherapy resistance leading to disease relapse is a significant barrier in treating acute myeloid leukemia (AML). Metabolic adaptations have been shown to contribute to therapy resistance. However, little is known about whether specific therapies cause specific metabolic changes. We established cytarabine-resistant (AraC-R) and Arsenic trioxide-resistant (ATO-R) AML cell lines, displaying distinct cell surface expression and cytogenetic abnormalities. Transcriptomic analysis revealed a significant difference in the expression profiles of ATO-R and AraC-R cells. Geneset enrichment analysis showed AraC-R cells rely on OXPHOS, while ATO-R cells on glycolysis. ATO-R cells were also enriched for stemness gene signatures, whereas AraC-R cells were not. The mito stress and glycolytic stress tests confirmed these findings. The distinct metabolic adaptation of AraC-R cells increased sensitivity to the OXPHOS inhibitor venetoclax. Cytarabine resistance was circumvented in AraC-R cells by combining Ven and AraC. In vivo, ATO-R cells showed increased repopulating potential, leading to aggressive leukemia compared to the parental and AraC-R. Overall, our study shows that different therapies can cause different metabolic changes and that these metabolic dependencies can be used to target chemotherapy-resistant AML.
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Affiliation(s)
| | | | | | | | | | - Nancy Beryl Janet
- Department of Haematology, Christian Medical College, Vellore, India
| | - Ernest David
- Department of Biotechnology, Thiruvalluvar University, Vellore, India
| | - Shaji Ramachandran Velayudhan
- Department of Haematology, Christian Medical College, Vellore, India; Center for Stem Cell Research (A Unit of InStem, Bengaluru, India), Christian Medical College, Vellore, India
| | - Vikram Mathews
- Department of Haematology, Christian Medical College, Vellore, India
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30
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Ediriwickrema A, Gentles AJ, Majeti R. Single-cell genomics in AML: extending the frontiers of AML research. Blood 2023; 141:345-355. [PMID: 35926108 PMCID: PMC10082362 DOI: 10.1182/blood.2021014670] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/06/2022] [Accepted: 07/23/2022] [Indexed: 01/31/2023] Open
Abstract
The era of genomic medicine has allowed acute myeloid leukemia (AML) researchers to improve disease characterization, optimize risk-stratification systems, and develop new treatments. Although there has been significant progress, AML remains a lethal cancer because of its remarkably complex and plastic cellular architecture. This degree of heterogeneity continues to pose a major challenge, because it limits the ability to identify and therefore eradicate the cells responsible for leukemogenesis and treatment failure. In recent years, the field of single-cell genomics has led to unprecedented strides in the ability to characterize cellular heterogeneity, and it holds promise for the study of AML. In this review, we highlight advancements in single-cell technologies, outline important shortcomings in our understanding of AML biology and clinical management, and discuss how single-cell genomics can address these shortcomings as well as provide unique opportunities in basic and translational AML research.
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Affiliation(s)
- Asiri Ediriwickrema
- Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA
| | - Andrew J. Gentles
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA
| | - Ravindra Majeti
- Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA
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31
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Saultz JN, Tyner JW. Chasing leukemia differentiation through induction therapy, relapse and transplantation. Blood Rev 2023; 57:101000. [PMID: 36041918 DOI: 10.1016/j.blre.2022.101000] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/23/2022] [Accepted: 08/09/2022] [Indexed: 01/28/2023]
Abstract
Despite rapid advances in our understanding of acute myeloid leukemia (AML), the disease remains challenging to treat with 5-year survival for adult patients 20 years or older estimated to be 26% (Cancer 2021). The use of new targeted therapies including BCL2, IDH1/IDH2, and FLT3 inhibitors has revolutionized treatment approaches but also changed the disease trajectory with unique modes of resistance. Recent studies have shown that stem cell maturation state drives expression level and/or dependence on various pathways, critical to determining drug response. Instead of anticipating these changes, we remain behind the curve chasing the next expanded clone. This review will focus on current approaches to treatment in AML, including defining the significance of blast differentiation state on chemotherapeutic response, signaling pathway dependence, metabolism, immune response, and phenotypic changes. We conclude that multimodal treatment approaches are necessary to target both the immature and mature clones, thereby, sustaining drug response.
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Affiliation(s)
- Jennifer N Saultz
- Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States of America; Division of Hematology and Medical Oncology, Oregon Health and Science University, Portland, OR, United States of America.
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States of America; Division of Hematology and Medical Oncology, Oregon Health and Science University, Portland, OR, United States of America; Department of Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, United States of America
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32
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Integrated single-cell transcriptome analysis of CD34 + enriched leukemic stem cells revealed intra- and inter-patient transcriptional heterogeneity in pediatric acute myeloid leukemia. Ann Hematol 2023; 102:73-87. [PMID: 36527458 DOI: 10.1007/s00277-022-05021-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 10/25/2022] [Indexed: 12/23/2022]
Abstract
To gain insights into the idiosyncrasies of CD34 + enriched leukemic stem cells, we investigated the nature and extent of transcriptional heterogeneity by single-cell sequencing in pediatric AML. Whole transcriptome analysis of 28,029 AML single cells was performed using the nanowell cartridge-based barcoding technology. Integrated transcriptional analysis identified unique leukemic stem cell clusters of each patient and intra-patient heterogeneity was revealed by multiple LSC-enriched clusters differing in their cell cycle processes and BCL2 expression. All LSC-enriched clusters exhibited gene expression profile of dormancy and self-renewal. Upregulation of genes involved in non-coding RNA processing and ribonucleoprotein assembly were observed in LSC-enriched clusters relative to HSC. The genes involved in regulation of apoptotic processes, response to cytokine stimulus, and negative regulation of transcription were upregulated in LSC-enriched clusters as compared to the blasts. Validation of top altered genes in LSC-enriched clusters confirmed upregulation of TCF7L2, JUP, ARHGAP25, LPAR6, and PRDX1 genes, and serine/threonine kinases (STK24, STK26). Upregulation of LPAR6 showed trend towards MRD positive status (Odds ratio = 0.126; 95% CI = 0.0144-1.10; p = 0.067) and increased expression of STK26 significantly correlated with higher RFS (HR = 0.231; 95% CI = 0.0506-1.052; p = 0.04). Our findings addressed the inter- and intra-patient diversity within AML LSC and potential signaling and chemoresistance-associated targets that warrant investigation in larger cohort that may guide precision medicine in the near future.
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33
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Ahn J, Kim T, Jung S, Ahn S, Song G, Kim M, Yang D, Lee J, Kim MY, Moon JH, Zhang Z, Kim H, Kim DDH. Next-generation sequencing-based analysis to assess the pattern of relapse in patients with Philadelphia-positive acute lymphoblastic leukemia. EJHAEM 2022; 3:1145-1153. [PMID: 36467841 PMCID: PMC9713221 DOI: 10.1002/jha2.514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 06/17/2023]
Abstract
In this study, we performed serial monitoring using targeted DNA sequencing to identify genetic alterations in adults with Philadelphia-positive acute lymphoblastic leukemia (Ph-ALL). Deep sequencing was performed by targeting the coding regions of 45 genes with recurrent driver mutations and 1129 single nucleotide polymorphism sites. Of the 43 patients that we examined, at least one case of genetic alterations was detected in 38 (88%) of the 43 patients at diagnosis (somatic mutations in 10 patients [23%] and copy number aberrations [CNA] in 36 patients [84%]). The most frequently detected CNA lesions were in IKZF1 (n = 25, 58%) and the most frequently mutated gene was SETD2 (n = 5). At least one genetic abnormality (loss, gain, or persistence) was observed in all the samples obtained at relapse that were available for analysis (n = 15), compared with the samples obtained at diagnosis (disappearance of any previously detected genetic alterations: 11 patients [73%]; new genetic abnormalities: nine patients [60%]; and persistent genetic abnormalities: eight patients [53%]]. The most frequently deleted lesions were in IKZF1 (n = 9, 60%), and the most frequently mutated gene was ABL1 (eight patients, 53%). Our data indicate that leukemic progression may be associated with complex genetic alterations in Ph-ALL during the course of treatment.
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Affiliation(s)
- Jae‐Sook Ahn
- Department of Internal Medicine, Chonnam National University Hwasun HospitalChonnam National UniversityGwangjuRepublic of Korea
- Genomic Research Center for Hematopoietic DiseasesChonnam National University Hwasun HospitalJeollanam‐doRepublic of Korea
| | - TaeHyung Kim
- The Donnelly Centre for Cellular and Biomolecular ResearchUniversity of TorontoTorontoOntarioCanada
- Department of Computer ScienceUniversity of TorontoTorontoOntarioCanada
| | - Sung‐Hoon Jung
- Department of Internal Medicine, Chonnam National University Hwasun HospitalChonnam National UniversityGwangjuRepublic of Korea
| | - Seo‐Yeon Ahn
- Department of Internal Medicine, Chonnam National University Hwasun HospitalChonnam National UniversityGwangjuRepublic of Korea
| | - Ga‐Young Song
- Department of Internal Medicine, Chonnam National University Hwasun HospitalChonnam National UniversityGwangjuRepublic of Korea
| | - Mihee Kim
- Department of Internal Medicine, Chonnam National University Hwasun HospitalChonnam National UniversityGwangjuRepublic of Korea
| | - Deok‐Hwan Yang
- Department of Internal Medicine, Chonnam National University Hwasun HospitalChonnam National UniversityGwangjuRepublic of Korea
| | - Je‐Jung Lee
- Department of Internal Medicine, Chonnam National University Hwasun HospitalChonnam National UniversityGwangjuRepublic of Korea
| | - Mi Yeon Kim
- Genomic Research Center for Hematopoietic DiseasesChonnam National University Hwasun HospitalJeollanam‐doRepublic of Korea
| | - Joon Ho Moon
- Department of Hematology‐OncologyKyungpook National University Hospital, School of Medicine, Kyungpook National UniversityDaeguRepublic of Korea
| | - Zhaolei Zhang
- The Donnelly Centre for Cellular and Biomolecular ResearchUniversity of TorontoTorontoOntarioCanada
- Department of Computer ScienceUniversity of TorontoTorontoOntarioCanada
- Department of Medical Oncology and Hematology, Princess Margaret Cancer CentreUniversity of TorontoTorontoOntarioCanada
| | - Hyeoung‐Joon Kim
- Department of Internal Medicine, Chonnam National University Hwasun HospitalChonnam National UniversityGwangjuRepublic of Korea
- Genomic Research Center for Hematopoietic DiseasesChonnam National University Hwasun HospitalJeollanam‐doRepublic of Korea
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34
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Tirtakusuma R, Szoltysek K, Milne P, Grinev VV, Ptasinska A, Chin PS, Meyer C, Nakjang S, Hehir-Kwa JY, Williamson D, Cauchy P, Keane P, Assi SA, Ashtiani M, Kellaway SG, Imperato MR, Vogiatzi F, Schweighart EK, Lin S, Wunderlich M, Stutterheim J, Komkov A, Zerkalenkova E, Evans P, McNeill H, Elder A, Martinez-Soria N, Fordham SE, Shi Y, Russell LJ, Pal D, Smith A, Kingsbury Z, Becq J, Eckert C, Haas OA, Carey P, Bailey S, Skinner R, Miakova N, Collin M, Bigley V, Haniffa M, Marschalek R, Harrison CJ, Cargo CA, Schewe D, Olshanskaya Y, Thirman MJ, Cockerill PN, Mulloy JC, Blair HJ, Vormoor J, Allan JM, Bonifer C, Heidenreich O, Bomken S. Epigenetic regulator genes direct lineage switching in MLL/AF4 leukemia. Blood 2022; 140:1875-1890. [PMID: 35839448 PMCID: PMC10488321 DOI: 10.1182/blood.2021015036] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 06/30/2022] [Indexed: 11/20/2022] Open
Abstract
The fusion gene MLL/AF4 defines a high-risk subtype of pro-B acute lymphoblastic leukemia. Relapse can be associated with a lineage switch from acute lymphoblastic to acute myeloid leukemia, resulting in poor clinical outcomes caused by resistance to chemotherapies and immunotherapies. In this study, the myeloid relapses shared oncogene fusion breakpoints with their matched lymphoid presentations and originated from various differentiation stages from immature progenitors through to committed B-cell precursors. Lineage switching is linked to substantial changes in chromatin accessibility and rewiring of transcriptional programs, including alternative splicing. These findings indicate that the execution and maintenance of lymphoid lineage differentiation is impaired. The relapsed myeloid phenotype is recurrently associated with the altered expression, splicing, or mutation of chromatin modifiers, including CHD4 coding for the ATPase/helicase of the nucleosome remodelling and deacetylation complex. Perturbation of CHD4 alone or in combination with other mutated epigenetic modifiers induces myeloid gene expression in MLL/AF4+ cell models, indicating that lineage switching in MLL/AF4 leukemia is driven and maintained by disrupted epigenetic regulation.
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Affiliation(s)
- Ricky Tirtakusuma
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Katarzyna Szoltysek
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Maria Sklodowska-Curie Institute, Oncology Center, Gliwice Branch, Gliwice, Poland
| | - Paul Milne
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Vasily V. Grinev
- Department of Genetics, the Faculty of Biology, Belarusian State University, Minsk, Republic of Belarus
| | - Anetta Ptasinska
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Paulynn S. Chin
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Claus Meyer
- Institute of Pharmaceutical Biology/DCAL, Goethe-University, Frankfurt/Main, Germany
| | - Sirintra Nakjang
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | | | - Daniel Williamson
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Pierre Cauchy
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Peter Keane
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Salam A. Assi
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Minoo Ashtiani
- Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Sophie G. Kellaway
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Maria R. Imperato
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Fotini Vogiatzi
- ALL-BFM Study Group, Pediatric Hematology/Oncology, Christian Albrechts University Kiel and University Hospital Schleswig-Holstein, Campus Kiel, Germany
| | | | - Shan Lin
- Experimental Hematology and Cancer Biology, Cancer and Blood Disease Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Mark Wunderlich
- Experimental Hematology and Cancer Biology, Cancer and Blood Disease Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | | | - Alexander Komkov
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Elena Zerkalenkova
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Paul Evans
- Haematological Malignancy Diagnostic Service, St James’s University Hospital, Leeds, United Kingdom
| | - Hesta McNeill
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Alex Elder
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Natalia Martinez-Soria
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Sarah E. Fordham
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Yuzhe Shi
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Lisa J. Russell
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Deepali Pal
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Alex Smith
- Epidemiology and Cancer Statistics Group, University of York, York, United Kingdom
| | | | - Jennifer Becq
- Illumina Cambridge Ltd., Great Abington, United Kingdom
| | - Cornelia Eckert
- Department of Pediatric Oncology/Hematology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Oskar A. Haas
- St Anna Children’s Cancer Research Institute (CCRI), Vienna, Austria
| | - Peter Carey
- Department of Paediatric Haematology and Oncology, The Great North Children’s Hospital, Newcastle upon Tyne, United Kingdom
| | - Simon Bailey
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- Department of Paediatric Haematology and Oncology, The Great North Children’s Hospital, Newcastle upon Tyne, United Kingdom
| | - Roderick Skinner
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- Department of Paediatric Haematology and Oncology, The Great North Children’s Hospital, Newcastle upon Tyne, United Kingdom
| | - Natalia Miakova
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Matthew Collin
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Venetia Bigley
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Muzlifah Haniffa
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Department of Dermatology and Newcastle National Institute of Health Research (NIHR), Newcastle Biomedical Research Centre, Newcastle Hospitals National Health Service (NHS) Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Rolf Marschalek
- Institute of Pharmaceutical Biology/DCAL, Goethe-University, Frankfurt/Main, Germany
| | - Christine J. Harrison
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Catherine A. Cargo
- Haematological Malignancy Diagnostic Service, St James’s University Hospital, Leeds, United Kingdom
| | - Denis Schewe
- Department of Pediatrics, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Yulia Olshanskaya
- Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Michael J. Thirman
- Department of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL
| | - Peter N. Cockerill
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - James C. Mulloy
- Experimental Hematology and Cancer Biology, Cancer and Blood Disease Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Helen J. Blair
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Josef Vormoor
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - James M. Allan
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Constanze Bonifer
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Olaf Heidenreich
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Simon Bomken
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- Department of Paediatric Haematology and Oncology, The Great North Children’s Hospital, Newcastle upon Tyne, United Kingdom
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35
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Huang BJ, Smith JL, Farrar JE, Wang YC, Umeda M, Ries RE, Leonti AR, Crowgey E, Furlan SN, Tarlock K, Armendariz M, Liu Y, Shaw TI, Wei L, Gerbing RB, Cooper TM, Gamis AS, Aplenc R, Kolb EA, Rubnitz J, Ma J, Klco JM, Ma X, Alonzo TA, Triche T, Meshinchi S. Integrated stem cell signature and cytomolecular risk determination in pediatric acute myeloid leukemia. Nat Commun 2022; 13:5487. [PMID: 36123353 PMCID: PMC9485122 DOI: 10.1038/s41467-022-33244-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 09/07/2022] [Indexed: 11/30/2022] Open
Abstract
Relapsed or refractory pediatric acute myeloid leukemia (AML) is associated with poor outcomes and relapse risk prediction approaches have not changed significantly in decades. To build a robust transcriptional risk prediction model for pediatric AML, we perform RNA-sequencing on 1503 primary diagnostic samples. While a 17 gene leukemia stem cell signature (LSC17) is predictive in our aggregated pediatric study population, LSC17 is no longer predictive within established cytogenetic and molecular (cytomolecular) risk groups. Therefore, we identify distinct LSC signatures on the basis of AML cytomolecular subtypes (LSC47) that were more predictive than LSC17. Based on these findings, we build a robust relapse prediction model within a training cohort and then validate it within independent cohorts. Here, we show that LSC47 increases the predictive power of conventional risk stratification and that applying biomarkers in a manner that is informed by cytomolecular profiling outperforms a uniform biomarker approach. Relapsed pediatric acute myeloid leukemia is associated with poor prognosis. Here, the authors use RNA-seq data from 1503 primary samples to create a combined transcriptional and cytomolecular signature to improve relapse risk prediction.
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Affiliation(s)
- Benjamin J Huang
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA. .,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
| | - Jenny L Smith
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jason E Farrar
- University of Arkansas for Medical Sciences & Arkansas Children's Research Institute, Little Rock, AR, USA
| | | | - Masayuki Umeda
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Rhonda E Ries
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Erin Crowgey
- Nemours Center for Cancer and Blood Disorders and Alfred I. DuPont Hospital for Children, Wilmington, DE, USA
| | - Scott N Furlan
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Katherine Tarlock
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Marcos Armendariz
- School of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Yanling Liu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Timothy I Shaw
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Lisa Wei
- Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | | | - Todd M Cooper
- Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Alan S Gamis
- Children's Mercy Hospitals and Clinics, Kansas City, MO, USA
| | - Richard Aplenc
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - E Anders Kolb
- Nemours Center for Cancer and Blood Disorders and Alfred I. DuPont Hospital for Children, Wilmington, DE, USA
| | - Jeffrey Rubnitz
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jing Ma
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jeffery M Klco
- 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
| | - Todd A Alonzo
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Soheil Meshinchi
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Division of Hematology/Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
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36
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Bottomly D, Long N, Schultz AR, Kurtz SE, Tognon CE, Johnson K, Abel M, Agarwal A, Avaylon S, Benton E, Blucher A, Borate U, Braun TP, Brown J, Bryant J, Burke R, Carlos A, Chang BH, Cho HJ, Christy S, Coblentz C, Cohen AM, d'Almeida A, Cook R, Danilov A, Dao KHT, Degnin M, Dibb J, Eide CA, English I, Hagler S, Harrelson H, Henson R, Ho H, Joshi SK, Junio B, Kaempf A, Kosaka Y, Laderas T, Lawhead M, Lee H, Leonard JT, Lin C, Lind EF, Liu SQ, Lo P, Loriaux MM, Luty S, Maxson JE, Macey T, Martinez J, Minnier J, Monteblanco A, Mori M, Morrow Q, Nelson D, Ramsdill J, Rofelty A, Rogers A, Romine KA, Ryabinin P, Saultz JN, Sampson DA, Savage SL, Schuff R, Searles R, Smith RL, Spurgeon SE, Sweeney T, Swords RT, Thapa A, Thiel-Klare K, Traer E, Wagner J, Wilmot B, Wolf J, Wu G, Yates A, Zhang H, Cogle CR, Collins RH, Deininger MW, Hourigan CS, Jordan CT, Lin TL, Martinez ME, Pallapati RR, Pollyea DA, Pomicter AD, Watts JM, Weir SJ, Druker BJ, McWeeney SK, Tyner JW. Integrative analysis of drug response and clinical outcome in acute myeloid leukemia. Cancer Cell 2022; 40:850-864.e9. [PMID: 35868306 PMCID: PMC9378589 DOI: 10.1016/j.ccell.2022.07.002] [Citation(s) in RCA: 97] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 05/30/2022] [Accepted: 06/30/2022] [Indexed: 12/17/2022]
Abstract
Acute myeloid leukemia (AML) is a cancer of myeloid-lineage cells with limited therapeutic options. We previously combined ex vivo drug sensitivity with genomic, transcriptomic, and clinical annotations for a large cohort of AML patients, which facilitated discovery of functional genomic correlates. Here, we present a dataset that has been harmonized with our initial report to yield a cumulative cohort of 805 patients (942 specimens). We show strong cross-cohort concordance and identify features of drug response. Further, deconvoluting transcriptomic data shows that drug sensitivity is governed broadly by AML cell differentiation state, sometimes conditionally affecting other correlates of response. Finally, modeling of clinical outcome reveals a single gene, PEAR1, to be among the strongest predictors of patient survival, especially for young patients. Collectively, this report expands a large functional genomic resource, offers avenues for mechanistic exploration and drug development, and reveals tools for predicting outcome in AML.
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Affiliation(s)
- Daniel Bottomly
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Nicola Long
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Anna Reister Schultz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stephen E Kurtz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Cristina E Tognon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Kara Johnson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Melissa Abel
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Anupriya Agarwal
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA; Division of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sammantha Avaylon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Erik Benton
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aurora Blucher
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Uma Borate
- Division of Hematology, Department of Internal Medicine, James Cancer Center, Ohio State University, Columbus, OH 43210, USA
| | - Theodore P Braun
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jordana Brown
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jade Bryant
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Russell Burke
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amy Carlos
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Bill H Chang
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology and Oncology, Department of Pediatrics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Hyun Jun Cho
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stephen Christy
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Cody Coblentz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aaron M Cohen
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amanda d'Almeida
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rachel Cook
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alexey Danilov
- Department of Hematology and Hematopoietic Stem Cell Transplant, City of Hope National Medical Center, Duarte, CA 91010, USA
| | | | - Michie Degnin
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - James Dibb
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher A Eide
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Isabel English
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stuart Hagler
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Heath Harrelson
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rachel Henson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Hibery Ho
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sunil K Joshi
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Brian Junio
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Andy Kaempf
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Biostatistics Shared Resource, Oregon Health & Science University, Portland, OR 97239, USA
| | - Yoko Kosaka
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR 97239, USA
| | | | - Matt Lawhead
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Hyunjung Lee
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jessica T Leonard
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Chenwei Lin
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Evan F Lind
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Selina Qiuying Liu
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Pierrette Lo
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Marc M Loriaux
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Pathology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Samuel Luty
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Julia E Maxson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Tara Macey
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jacqueline Martinez
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jessica Minnier
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Biostatistics Shared Resource, Oregon Health & Science University, Portland, OR 97239, USA; OHSU-PSU School of Public Health, VA Portland Health Care System, Oregon Health & Science University, Portland, OR 97239, USA
| | - Andrea Monteblanco
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Motomi Mori
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Quinlan Morrow
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Dylan Nelson
- High-Throughput Screening Services Laboratory, Oregon State University, Corvallis, OR 97331, USA
| | - Justin Ramsdill
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Angela Rofelty
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alexandra Rogers
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Kyle A Romine
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Peter Ryabinin
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jennifer N Saultz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - David A Sampson
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Samantha L Savage
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | | | - Robert Searles
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Integrated Genomics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rebecca L Smith
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Stephen E Spurgeon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Tyler Sweeney
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Ronan T Swords
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Aashis Thapa
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Karina Thiel-Klare
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Elie Traer
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jake Wagner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Beth Wilmot
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Joelle Wolf
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Guanming Wu
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amy Yates
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Haijiao Zhang
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Oncologic Sciences, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher R Cogle
- Department of Medicine, Division of Hematology and Oncology, University of Florida, Gainesville, FL 32610, USA
| | - Robert H Collins
- Department of Internal Medicine/ Hematology Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390-8565, USA
| | - Michael W Deininger
- Division of Hematology & Hematologic Malignancies, Department of Internal Medicine, University of Utah, Salt Lake City, UT 84112, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Christopher S Hourigan
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20814-1476, USA
| | - Craig T Jordan
- Division of Hematology, University of Colorado, Denver, CO 80045, USA
| | - Tara L Lin
- Division of Hematologic Malignancies & Cellular Therapeutics, University of Kansas, Kansas City, KS 66205, USA
| | - Micaela E Martinez
- Clinical Research Services, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL 33136, USA
| | - Rachel R Pallapati
- Clinical Research Services, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL 33136, USA
| | - Daniel A Pollyea
- Division of Hematology, University of Colorado, Denver, CO 80045, USA
| | - Anthony D Pomicter
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Justin M Watts
- Division of Hematology, Department of Medicine, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL 33136, USA
| | - Scott J Weir
- Department of Cancer Biology, Division of Medical Oncology, Department of Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Brian J Druker
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA.
| | - Shannon K McWeeney
- Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239, USA.
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR 97239, USA.
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Bourque J, Kousnetsov R, Hawiger D. Roles of Hopx in the differentiation and functions of immune cells. Eur J Cell Biol 2022; 101:151242. [DOI: 10.1016/j.ejcb.2022.151242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/20/2022] [Accepted: 05/20/2022] [Indexed: 11/03/2022] Open
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Kim DDH, Novitzky Basso I, Kim TS, Yi SY, Kim KH, Murphy T, Chan S, Minden M, Pasic I, Lam W, Law A, Michelis FV, Gerbitz A, Viswabandya A, Lipton J, Kumar R, Ng SWK, Stockley T, Zhang T, King I, Mattsson J, Wang JCY. The 17‐gene stemness score associates with relapse risk and long‐term outcomes following allogeneic haematopoietic cell transplantation in acute myeloid leukaemia. EJHAEM 2022; 3:873-884. [PMID: 36051057 PMCID: PMC9422016 DOI: 10.1002/jha2.466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/13/2022] [Accepted: 04/22/2022] [Indexed: 11/30/2022]
Abstract
A 17‐gene stemness (LSC17) score determines risk in acute myeloid leukaemia patients treated with standard chemotherapy regimens. The present study further analysed the impact of the LSC17 score at diagnosis on outcomes following allogeneic haematopoietic cell transplantation (HCT). Out of 452 patients with available LSC17 score, 123 patients received allogeneic HCT. Transplant outcomes, including overall (OS), leukaemia‐free survival (LFS), relapse incidence (RI) and non‐relapse mortality (NRM), were compared according to the LSC17 scored group. The patients with a low LSC17 score had higher OS (56.2%) and LFS (54.4%) at 2 years compared to patients with high LSC17 score (47.2%, p = 0.0237 for OS and 46.0%, p = 0.0181 for LFS). The low LSC17 score group also had a lower relapse rate at 2 years (12.7%) compared to 25.3% in the high LSC17 score group (p = 0.017), but no difference in NRM (p = 0.674). Worse outcomes in the high LSC17 score group for OS, LFS and relapse were consistently observed across all stratified sub‐groups. The use of more intensive conditioning did not improve outcomes for either group. In contrast, chronic graft‐versus‐host‐disease was associated with more favourable outcomes in both groups. The 17‐gene stemness score is highly prognostic for survival and relapse risk following allogeneic HCT.
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Liu X, Wang C. Pan-Cancer Analysis Identified Homologous Recombination Factor With OB-Fold (HROB) as a Potential Biomarker for Various Tumor Types. Front Genet 2022; 13:904060. [PMID: 35903352 PMCID: PMC9315351 DOI: 10.3389/fgene.2022.904060] [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: 03/25/2022] [Accepted: 05/30/2022] [Indexed: 11/30/2022] Open
Abstract
Background: By recruiting the MCM8–MCM9 helicase to DNA damage site, the Homologous Recombination Factor With OB-Fold (HROB) is involved in the repair of inter-strand crosslink and homologous recombination. Previous studies have shown that HROB may play an oncogenic role by promoting cell proliferation and chemoresistance in several tumor types. However, the potential diagnostic and prognostic values of HROB have not been systemically explored in pan-cancer. Methods: We analyzed the expression pattern of HROB among tumor tissues and normal tissues in several public databases, including Human Protein Atlas and the Cancer Genome Atlas (TCGA) and investigated the association between the HROB expression and pathological stage and patient prognosis. We also analyzed the association between HROB expression and cancer stemness and immune infiltration of cancer-associated fibroblasts (CAFs) and CD8+ T cells in pan-cancer. Finally, we explored the potential biological function of HROB through pathway enrichment analysis. Results: In most tumor types, HROB is overexpressed in tumor tissues compared with non-tumor tissues. High HROB expression was correlated with poor prognosis and advanced pathological stages. HROB expression was robustly correlated with cancer stemness. Moreover, significant correlations between CAFs, CD8+ T-cell infiltration, and HROB expression were observed in several tumor types. Pathway enrichment analysis revealed that cell cycle and mitotic-regulated pathways were strongly enriched in HROB co-expressed genes. Conclusion: HROB may be a potential diagnostic and prognostic biomarker in pan-cancer, which may play a role in tumorigenesis and disease progression by affecting the cancer stemness of tumor tissues and immune cell infiltration.
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Affiliation(s)
- Xianming Liu
- Department of Gastrointestinal Surgery, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Cunchuan Wang
- Department of Gastrointestinal Surgery, Guangzhou Overseas Chinese Hospital, The First Affiliated Hospital of Jinan University, Guangzhou, China
- *Correspondence: Cunchuan Wang,
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40
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Liu H, Zhang X, Zhao Z, Zhu H, Li D, Yang Y, Zhao W, Zhang F, Wang Y, Zhu L, Ding Z, Li X. CNST is Characteristic of Leukemia Stem Cells and is Associated With Poor Prognosis in AML. Front Pharmacol 2022; 13:888243. [PMID: 35662693 PMCID: PMC9157791 DOI: 10.3389/fphar.2022.888243] [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: 03/02/2022] [Accepted: 03/28/2022] [Indexed: 11/30/2022] Open
Abstract
Consortin (CNST) is a protein located on the trans-Golgi network that can target transmembrane proteins to the plasma membrane. Although CNST was discovered more than 10 years ago, there are still not enough studies on its function. During our search for possible new acute myeloid leukemia (AML) markers, we found that CNST was overexpressed in almost all patients with AML. By analyzing profiling data from public databases, we found that CNST expression inversely correlated with overall survival among AML patients. There was a great variation in CNST expression among different subtypes of AML, and the expression was the highest in the t(8,21) subtype, which was probably due to the direct regulation of CNST transcription by RUNX1-RUNX1T1. In addition, we analyzed the expression of CNST in different cells of the hematopoietic system. We found that CNST was associated with the low differentiation degrees of hematopoietic cells and had the highest expression level in leukemia stem cells (LSCs). Finally, we analyzed the CNST-related gene network and found that the genes negatively correlated with CNST are involved in various immune-related pathways, which indicates that CNST is likely related to immune evasion, LSC niche retention, and assembly of stress granules. In conclusion, our study suggests that CNST has the potential to be a diagnostic and prognostic biomarker for AML.
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Affiliation(s)
- Haoyu Liu
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China
| | - Xu Zhang
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China
| | - Ziyan Zhao
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China
| | - Hongying Zhu
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China
| | - Danyang Li
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China.,Rehabilitation Center, Qilu Hospital, Cheelo College of Medicine, Shandong University, Jinan, China
| | - Yang Yang
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China.,School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Wenbo Zhao
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Fei Zhang
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China
| | - Yuefeng Wang
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China
| | - Lina Zhu
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China
| | - Zewen Ding
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Xiangzhi Li
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Advanced Medical Research Institute, Shandong University, Qingdao, China
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41
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Gudmundsson KO, Du Y. Quiescence regulation by normal haematopoietic stem cells and leukaemia stem cells. FEBS J 2022. [PMID: 35514133 DOI: 10.1111/febs.16472] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 03/21/2022] [Accepted: 05/03/2022] [Indexed: 11/30/2022]
Abstract
The haematopoietic system is maintained by rare haematopoietic stem cells (HSCs), which are quiescent most of the time and only divide occasionally to self-renew and/or to undergo commitment to clonal expansion via the generation of highly proliferative progenitor cells. The latter is responsible for the generation of all mature cells of the system through subsequent lineage commitment and terminal differentiation. Cells with similar properties also exist in leukaemias and are known as leukaemia stem cells (LSCs). Quiescence provides essential protection for both HSC and LSC from cytotoxic stress and DNA damage and, in the case of LSCs, likely causes therapy resistance and disease relapse in leukaemia patients. Specific inhibition of LSC quiescence has been considered a promising strategy for eliminating LSCs and curing leukaemias. Although the understanding of mechanisms responsible for quiescence maintenance in these cells remains limited, particularly for LSCs, recent studies have suggested potential differences in their dependency on certain pathways and their levels of stress and DNA damage caused by increased cycling. Such differences likely stem from oncogenic mutations in LSCs and could be specifically exploited for the elimination of LSCs while sparing normal HSCs in the future.
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Affiliation(s)
- Kristbjorn Orri Gudmundsson
- Basic Science Program Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research in the Mouse Cancer Genetics Program Center for Cancer Research NCI Frederick MD USA
| | - Yang Du
- Department of Pediatrics Uniformed Services University of the Health Sciences Bethesda MD USA
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Zeng AGX, Bansal S, Jin L, Mitchell A, Chen WC, Abbas HA, Chan-Seng-Yue M, Voisin V, van Galen P, Tierens A, Cheok M, Preudhomme C, Dombret H, Daver N, Futreal PA, Minden MD, Kennedy JA, Wang JCY, Dick JE. A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia. Nat Med 2022; 28:1212-1223. [PMID: 35618837 DOI: 10.1038/s41591-022-01819-x] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 04/07/2022] [Indexed: 02/08/2023]
Abstract
The treatment landscape of acute myeloid leukemia (AML) is evolving, with promising therapies entering clinical translation, yet patient responses remain heterogeneous, and biomarkers for tailoring treatment are lacking. To understand how disease heterogeneity links with therapy response, we determined the leukemia cell hierarchy makeup from bulk transcriptomes of more than 1,000 patients through deconvolution using single-cell reference profiles of leukemia stem, progenitor and mature cell types. Leukemia hierarchy composition was associated with functional, genomic and clinical properties and converged into four overall classes, spanning Primitive, Mature, GMP and Intermediate. Critically, variation in hierarchy composition along the Primitive versus GMP or Primitive versus Mature axes were associated with response to chemotherapy or drug sensitivity profiles of targeted therapies, respectively. A seven-gene biomarker derived from the Primitive versus Mature axis was associated with response to 105 investigational drugs. Cellular hierarchy composition constitutes a novel framework for understanding disease biology and advancing precision medicine in AML.
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Affiliation(s)
- Andy G X Zeng
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Suraj Bansal
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Liqing Jin
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Amanda Mitchell
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Weihsu Claire Chen
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Biologics Discovery, Amgen British Columbia, Burnaby, BC, Canada
| | - Hussein A Abbas
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Peter van Galen
- Division of Hematology, Brigham and Women's Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
| | - Anne Tierens
- Laboratory Medicine Program, Hematopathology, University Health Network, Toronto, ON, Canada
| | - Meyling Cheok
- University of Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer Heterogeneity Plasticity and Resistance to Therapies, Lille, France
| | - Claude Preudhomme
- University of Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer Heterogeneity Plasticity and Resistance to Therapies, Lille, France
| | - Hervé Dombret
- Department of Hematology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Naval Daver
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mark D Minden
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Department of Medicine, University of Toronto, Toronto, ON, Canada.,Division of Medical Oncology and Hematology, University Health Network, Toronto, ON, Canada
| | - James A Kennedy
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Division of Medical Oncology and Hematology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Jean C Y Wang
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Department of Medicine, University of Toronto, Toronto, ON, Canada.,Division of Medical Oncology and Hematology, University Health Network, Toronto, ON, Canada
| | - John E Dick
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada. .,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
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43
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Leukotrienes promote stem cell self-renewal and chemoresistance in acute myeloid leukemia. Leukemia 2022; 36:1575-1584. [PMID: 35461365 DOI: 10.1038/s41375-022-01579-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 03/30/2022] [Accepted: 04/13/2022] [Indexed: 11/09/2022]
Abstract
Acute myeloid leukemia (AML) is characterized by poor clinical outcomes due to high rates of relapse following standard-of-care induction chemotherapy. While many pathogenic drivers have been described in AML, our understanding of the molecular mechanisms mediating chemotherapy resistance remains poor. Therefore, we sought to identify resistance genes to induction therapy in AML and elucidated ALOX5 as a novel mediator of resistance to anthracycline-based therapy. ALOX5 is transcriptionally upregulated in AML patient blasts in comparison to normal hematopoietic stem/progenitor cells (HSPCs) and ALOX5 mRNA, and protein expression is increased in response to induction therapy. In vitro, and in vivo genetic, and pharmacologic perturbation studies confirm that ALOX5 positively regulates the leukemogenic potential of AML LSCs, and its loss does not significantly affect the function of normal HSPCs. ALOX5 mediates resistance to daunorubicin (DNR) and promotes AML cell survival and maintenance through its leukotriene (LT) synthetic capacity, specifically via modulating the synthesis of LTB4 and its binding to LTB receptor (BLTR). Our study reveals a previously unrecognized role of LTs in AML pathogenesis and chemoresistance, whereby inhibition of ALOX5 mediated LTB4 synthesis and function could be combined with standard chemotherapy, to enhance the overall therapeutic efficacy in AML.
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44
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Imetelstat Induces Leukemia Stem Cell Death in Pediatric Acute Myeloid Leukemia Patient-Derived Xenografts. J Clin Med 2022; 11:jcm11071923. [PMID: 35407531 PMCID: PMC8999576 DOI: 10.3390/jcm11071923] [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: 02/28/2022] [Revised: 03/22/2022] [Accepted: 03/27/2022] [Indexed: 02/01/2023] Open
Abstract
Acute myeloid leukemia (AML) in children remains deadly, despite the use of maximally intensive therapy. Because leukemia stem cells (LSCs) significantly contribute to chemoresistance and relapse, therapies that specifically target the LSCs are likely to be more beneficial in improving outcome. LSCs are known to have high telomerase activity and telomerase activity is negatively correlated with survival in pediatric AML. We evaluated the preclinical efficacy of imetelstat, an oligonucleotide inhibitor of telomerase activity in patient-derived xenograft (PDX) lines of pediatric AML. Imetelstat treatment significantly increased apoptosis/death of the LSC population in a dose-dependent manner in six pediatric AML PDX lines ex vivo, while it had limited activity on the stem cell population in normal bone marrow specimens. These results were validated in vivo in two distinct PDX models wherein imetelstat as single agent or in combination with chemotherapy greatly reduced the LSC percentage and prolonged median survival. Imetelstat combination with DNA hypomethylating agent azacitidine was also beneficial in extending survival. Secondary transplantation experiments showed delayed engraftment and improved survival of mice receiving imetelstat-treated cells, confirming the diminished LSC population. Thus, our data suggest that imetelstat represents an effective therapeutic strategy for pediatric AML.
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45
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Dai W, Hu T, Jin B, Shi X. Incorporating grouping information into Bayesian Gaussian graphical model selection. COMMUN STAT-THEOR M 2022. [DOI: 10.1080/03610926.2022.2053864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Wei Dai
- Department of Statistics and Finance, University of Science and Technology of China, Anhui, China
| | - Taizhong Hu
- Department of Statistics and Finance, University of Science and Technology of China, Anhui, China
| | - Baisuo Jin
- Department of Statistics and Finance, University of Science and Technology of China, Anhui, China
| | - Xiaoping Shi
- Irving K. Barber School of Arts and Sciences, University of British Columbia, Kelowna, British Columbia, Canada
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46
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Thakral D, Gupta R, Khan A. Leukemic stem cell signatures in Acute myeloid leukemia- targeting the Guardians with novel approaches. Stem Cell Rev Rep 2022; 18:1756-1773. [DOI: 10.1007/s12015-022-10349-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/30/2022] [Indexed: 11/09/2022]
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47
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Cuesta-Casanovas L, Delgado-Martínez J, Cornet-Masana JM, Carbó JM, Clément-Demange L, Risueño RM. Lysosome-mediated chemoresistance in acute myeloid leukemia. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2022; 5:233-244. [PMID: 35582535 PMCID: PMC8992599 DOI: 10.20517/cdr.2021.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Despite the outstanding advances in understanding the biology underlying the pathophysiology of acute myeloid leukemia (AML) and the promising preclinical data published lastly, AML treatment still relies on a classic chemotherapy regimen largely unchanged for the past five decades. Recently, new drugs have been approved for AML, but the real clinical benefit is still under evaluation. Nevertheless, primary refractory and relapse AML continue to represent the main clinical challenge, as the majority of AML patients will succumb to the disease despite achieving a complete remission during the induction phase. As such, treatments for chemoresistant AML represent an unmet need in this disease. Although great efforts have been made to decipher the biological basis for leukemogenesis, the mechanism by which AML cells become resistant to chemotherapy is largely unknown. The identification of the signaling pathways involved in resistance may lead to new combinatory therapies or new therapeutic approaches suitable for this subset of patients. Several mechanisms of chemoresistance have been identified, including drug transporters, key secondary messengers, and metabolic regulators. However, no therapeutic approach targeting chemoresistance has succeeded in clinical trials, especially due to broad secondary effects in healthy cells. Recent research has highlighted the importance of lysosomes in this phenomenon. Lysosomes' key role in resistance to chemotherapy includes the potential to sequester drugs, central metabolic signaling role, and gene expression regulation. These results provide further evidence to support the development of new therapeutic approaches that target lysosomes in AML.
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Affiliation(s)
- Laia Cuesta-Casanovas
- Josep Carreras Leukaemia Research Institute (IJC), Barcelona 08916, Spain
- Faculty of Biosciences, Autonomous University of Barcelona, Bellaterra (Cerdanyola del Vallès) 08193, Spain
| | - Jennifer Delgado-Martínez
- Josep Carreras Leukaemia Research Institute (IJC), Barcelona 08916, Spain
- Faculty of Pharmacy, University of Barcelona, Barcelona 08028, Spain
| | | | - José M. Carbó
- Leukos Biotech, Muntaner, 383, Barcelona 08036, Spain
| | | | - Ruth M. Risueño
- Josep Carreras Leukaemia Research Institute (IJC), Barcelona 08916, Spain
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48
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Co-targeting leukemia-initiating cells and leukemia bulk leads to disease eradication. Leukemia 2022; 36:1306-1312. [PMID: 35246604 DOI: 10.1038/s41375-022-01530-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 01/28/2022] [Accepted: 02/14/2022] [Indexed: 12/13/2022]
Abstract
According to a hierarchical model, targeting leukemia-initiating cells (LICs) was speculated to achieve complete remission (CR) or cure. Nonetheless, increasing evidence emphasized the plasticity of differentiated blasts undergoing interconversion into LICs. We exploited murine models of acute promyelocytic leukemia (APL), a subtype of acute myeloid leukemia driven by the promyelocytic leukemia/retinoic acid receptor (PML-RARα) oncofusion protein, which recruits histone deacetylase (HDAC)-containing complexes. We studied APLs with different LIC frequencies and investigated the effect of two HDAC inhibitors: valproic acid (VPA), with relative selectivity towards class I HDAC enzymes and vorinostat/suberoylanilide hydroxamic acid (SAHA) (pan-HDAC inhibitor) in combination with all-trans retinoic acid (ATRA), on the bulk APL cells and APL LICs. Indeed, we found that while VPA differentiates the bulk APL cells, SAHA selectively targets LICs. ATRA + VPA + SAHA combination efficiently induced CR in an APL model with lower LIC frequency. Substituting ATRA with synthetic retinoids as etretinate which promotes APL differentiation without downregulating PML/RARα compromised the therapeutic benefit of ATRA + VPA + SAHA regimen. Altogether, our study emphasizes the therapeutic power of co-targeting the plasticity and heterogeneity of cancer -herein demonstrated by tackling LICs and bulk leukemic blasts - to achieve and maintain CR.
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49
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Multimerin-1 and cancer: a review. Biosci Rep 2022; 42:230760. [PMID: 35132992 PMCID: PMC8881648 DOI: 10.1042/bsr20211248] [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: 09/16/2021] [Revised: 01/29/2022] [Accepted: 02/01/2022] [Indexed: 11/21/2022] Open
Abstract
Multimerin-1 (MMRN1) is a platelet protein with a role in haemostasis and coagulation. It is also present in endothelial cells (ECs) and the extracellular matrix (ECM), where it may be involved in cell adhesion, but its molecular functions and protein–protein interactions in these cellular locations have not been studied in detail yet. In recent years, MMRN1 has been identified as a differentially expressed gene (DEG) in various cancers and it has been proposed as a possible cancer biomarker. Some evidence suggest that MMRN1 expression is regulated by methylation, protein interactions, and non-coding RNAs (ncRNAs) in different cancers. This raises the questions if a functional role of MMRN1 is being targeted during cancer development, and if MMRN1’s differential expression pattern correlates with cancer progression. As a result, it is timely to review the current state of what is known about MMRN1 to help inform future research into MMRN1’s molecular mechanisms in cancer.
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50
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The STAT3-MYC axis promotes survival of leukemia stem cells by regulating SLC1A5 and oxidative phosphorylation. Blood 2022; 139:584-596. [PMID: 34525179 PMCID: PMC8796651 DOI: 10.1182/blood.2021013201] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 08/28/2021] [Indexed: 01/29/2023] Open
Abstract
Acute myeloid leukemia (AML) is characterized by the presence of leukemia stem cells (LSCs), and failure to fully eradicate this population contributes to disease persistence/relapse. Prior studies have characterized metabolic vulnerabilities of LSCs, which demonstrate preferential reliance on oxidative phosphorylation (OXPHOS) for energy metabolism and survival. In the present study, using both genetic and pharmacologic strategies in primary human AML specimens, we show that signal transducer and activator of transcription 3 (STAT3) mediates OXPHOS in LSCs. STAT3 regulates AML-specific expression of MYC, which in turn controls transcription of the neutral amino acid transporter gene SLC1A5. We show that genetic inhibition of MYC or SLC1A5 acts to phenocopy the impairment of OXPHOS observed with STAT3 inhibition, thereby establishing this axis as a regulatory mechanism linking STAT3 to energy metabolism. Inhibition of SLC1A5 reduces intracellular levels of glutamine, glutathione, and multiple tricarboxylic acid (TCA) cycle metabolites, leading to reduced TCA cycle activity and inhibition of OXPHOS. Based on these findings, we used a novel small molecule STAT3 inhibitor, which binds STAT3 and disrupts STAT3-DNA, to evaluate the biological role of STAT3. We show that STAT3 inhibition selectively leads to cell death in AML stem and progenitor cells derived from newly diagnosed patients and patients who have experienced relapse while sparing normal hematopoietic cells. Together, these findings establish a STAT3-mediated mechanism that controls energy metabolism and survival in primitive AML cells.
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