1
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Niibori-Nambu A, Wang CQ, Chin DWL, Chooi JY, Hosoi H, Sonoki T, Tham CY, Nah GSS, Cirovic B, Tan DQ, Takizawa H, Sashida G, Goh Y, Tng J, Fam WN, Fullwood MJ, Suda T, Yang H, Tergaonkar V, Taniuchi I, Li S, Chng WJ, Osato M. Integrin-α9 overexpression underlies the niche-independent maintenance of leukemia stem cells in acute myeloid leukemia. Gene 2024; 928:148761. [PMID: 39002785 DOI: 10.1016/j.gene.2024.148761] [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: 04/13/2024] [Revised: 06/16/2024] [Accepted: 07/10/2024] [Indexed: 07/15/2024]
Abstract
Leukemia stem cells (LSCs) are widely believed to reside in well-characterized bone marrow (BM) niches; however, the capacity of the BM niches to accommodate LSCs is insufficient, and a significant proportion of LSCs are instead maintained in regions outside the BM. The molecular basis for this niche-independent behavior of LSCs remains elusive. Here, we show that integrin-α9 overexpression (ITGA9 OE) plays a pivotal role in the extramedullary maintenance of LSCs by molecularly mimicking the niche-interacting status, through the binding with its soluble ligand, osteopontin (OPN). Retroviral insertional mutagenesis conducted on leukemia-prone Runx-deficient mice identified Itga9 OE as a novel leukemogenic event. Itga9 OE activates Akt and p38MAPK signaling pathways. The elevated Myc expression subsequently enhances ribosomal biogenesis to overcome the cell integrity defect caused by the preexisting Runx alteration. The Itga9-Myc axis, originally discovered in mice, was further confirmed in multiple human acute myeloid leukemia (AML) subtypes, other than RUNX leukemias. In addition, ITGA9 was shown to be a functional LSC marker of the best prognostic value among 14 known LSC markers tested. Notably, the binding of ITGA9 with soluble OPN, a known negative regulator against HSC activation, induced LSC dormancy, while the disruption of ITGA9-soluble OPN interaction caused rapid cell propagation. These findings suggest that the ITGA9 OE increases both actively proliferating leukemia cells and dormant LSCs in a well-balanced manner, thereby maintaining LSCs. The ITGA9 OE would serve as a novel therapeutic target in AML.
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Affiliation(s)
- Akiko Niibori-Nambu
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore; Department of Tumor Genetics and Biology, Graduate School of Medical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Chelsia Qiuxia Wang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore; Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore; Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Desmond Wai Loon Chin
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Jing Yuan Chooi
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Hiroki Hosoi
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore; Department of Hematology/Oncology, Wakayama Medical University, Wakayama, Japan
| | - Takashi Sonoki
- Department of Hematology/Oncology, Wakayama Medical University, Wakayama, Japan
| | - Cheng-Yong Tham
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Giselle Sek Suan Nah
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Branko Cirovic
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Darren Qiancheng Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Hitoshi Takizawa
- International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Goro Sashida
- International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Yufen Goh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Jiaqi Tng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Wee Nih Fam
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Melissa Jane Fullwood
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Toshio Suda
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore; International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan; Institute of Hematology, Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Henry Yang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Vinay Tergaonkar
- Laboratory of NFκB Signalling, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Ichiro Taniuchi
- Laboratory for Transcriptional Regulation, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shang Li
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
| | - Wee Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore; National University Cancer Institute, Singapore; National University Health System, Singapore.
| | - Motomi Osato
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore; International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan; Department of General Internal Medicine, Kumamoto Kenhoku Hospital, Kumamoto, Japan.
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2
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Bordeleau ME, Audemard É, Métois A, Theret L, Lisi V, Farah A, Spinella JF, Chagraoui J, Moujaber O, Aubert L, Khakipoor B, Mallinger L, Boivin I, Mayotte N, Hajmirza A, Bonneil É, Béliveau F, Pfammatter S, Feghaly A, Boucher G, Gendron P, Thibault P, Barabé F, Lemieux S, Richard-Carpentier G, Hébert J, Lavallée VP, Roux PP, Sauvageau G. Immunotherapeutic targeting of surfaceome heterogeneity in AML. Cell Rep 2024; 43:114260. [PMID: 38838225 DOI: 10.1016/j.celrep.2024.114260] [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: 10/05/2023] [Revised: 01/29/2024] [Accepted: 05/07/2024] [Indexed: 06/07/2024] Open
Abstract
Immunotherapy remains underexploited in acute myeloid leukemia (AML) compared to other hematological malignancies. Currently, gemtuzumab ozogamicin is the only therapeutic antibody approved for this disease. Here, to identify potential targets for immunotherapeutic intervention, we analyze the surface proteome of 100 genetically diverse primary human AML specimens for the identification of cell surface proteins and conduct single-cell transcriptome analyses on a subset of these specimens to assess antigen expression at the sub-population level. Through this comprehensive effort, we successfully identify numerous antigens and markers preferentially expressed by primitive AML cells. Many identified antigens are targeted by therapeutic antibodies currently under clinical evaluation for various cancer types, highlighting the potential therapeutic value of the approach. Importantly, this initiative uncovers AML heterogeneity at the surfaceome level, identifies several antigens and potential primitive cell markers characterizing AML subgroups, and positions immunotherapy as a promising approach to target AML subgroup specificities.
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Affiliation(s)
- Marie-Eve Bordeleau
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada.
| | - Éric Audemard
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Arnaud Métois
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Louis Theret
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Véronique Lisi
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Centre Hospitalier Universitaire Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada
| | - Azer Farah
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Centre Hospitalier Universitaire Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada
| | - Jean-François Spinella
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Jalila Chagraoui
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Ossama Moujaber
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Léo Aubert
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Banafsheh Khakipoor
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Centre Hospitalier Universitaire Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada
| | - Laure Mallinger
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Isabel Boivin
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Nadine Mayotte
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Azadeh Hajmirza
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Éric Bonneil
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - François Béliveau
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Quebec Leukemia Cell Bank, Maisonneuve-Rosemont Hospital, Montréal, QC H1T 2M4, Canada
| | - Sybille Pfammatter
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Albert Feghaly
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Geneviève Boucher
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Patrick Gendron
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Pierre Thibault
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Department of Chemistry, Faculty of Arts and Science, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Frédéric Barabé
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Centre de Recherche du Centre Hospitalier Universitaire de Québec, Université Laval, Québec, QC G1V 4G2, Canada
| | - Sébastien Lemieux
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Department of Biochemistry and Molecular Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada.
| | - Guillaume Richard-Carpentier
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Medicine, Division of Medical Oncology and Hematology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
| | - Josée Hébert
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Quebec Leukemia Cell Bank, Maisonneuve-Rosemont Hospital, Montréal, QC H1T 2M4, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada; Division of Hematology-Oncology, Maisonneuve-Rosemont Hospital, Montréal, QC H1T 2M4, Canada.
| | - Vincent-Philippe Lavallée
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Centre Hospitalier Universitaire Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada; Department of Pediatrics, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada; Hematology and Oncology Division, Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC H3T 1C5, Canada.
| | - Philippe P Roux
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Department of Pathology and Cell Biology, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada.
| | - Guy Sauvageau
- The Leucegene project at Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada; Quebec Leukemia Cell Bank, Maisonneuve-Rosemont Hospital, Montréal, QC H1T 2M4, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada; Division of Hematology-Oncology, Maisonneuve-Rosemont Hospital, Montréal, QC H1T 2M4, Canada.
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3
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Frankel NW, Deng H, Yucel G, Gainer M, Leemans N, Lam A, Li Y, Hung M, Lee D, Lee CT, Banicki A, Tian M, Almudhfar N, Naitmazi L, Roguev A, Lee S, Wong W, Gordley R, Lu TK, Garrison BS. Precision off-the-shelf natural killer cell therapies for oncology with logic-gated gene circuits. Cell Rep 2024; 43:114145. [PMID: 38669141 DOI: 10.1016/j.celrep.2024.114145] [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: 08/21/2023] [Revised: 03/25/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Acute myeloid leukemia (AML) is an aggressive disease with a poor prognosis (5-year survival rate of 30.5% in the United States). Designing cell therapies to target AML is challenging because no single tumor-associated antigen (TAA) is highly expressed on all cancer subpopulations. Furthermore, TAAs are also expressed on healthy cells, leading to toxicity risk. To address these targeting challenges, we engineer natural killer (NK) cells with a multi-input gene circuit consisting of chimeric antigen receptors (CARs) controlled by OR and NOT logic gates. The OR gate kills a range of AML cells from leukemic stem cells to blasts using a bivalent CAR targeting FLT3 and/or CD33. The NOT gate protects healthy hematopoietic stem cells (HSCs) using an inhibitory CAR targeting endomucin, a protective antigen unique to healthy HSCs. NK cells with the combined OR-NOT gene circuit kill multiple AML subtypes and protect primary HSCs, and the circuit also works in vivo.
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MESH Headings
- Killer Cells, Natural/immunology
- Killer Cells, Natural/metabolism
- Humans
- Leukemia, Myeloid, Acute/therapy
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/immunology
- Animals
- Mice
- Receptors, Chimeric Antigen/metabolism
- Receptors, Chimeric Antigen/immunology
- Gene Regulatory Networks
- Hematopoietic Stem Cells/metabolism
- Cell Line, Tumor
- Precision Medicine/methods
- Cell- and Tissue-Based Therapy/methods
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Affiliation(s)
| | - Han Deng
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Gozde Yucel
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Marcus Gainer
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Nelia Leemans
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Alice Lam
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Yongshuai Li
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Michelle Hung
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Derrick Lee
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Chen-Ting Lee
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Andrew Banicki
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | - Mengxi Tian
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | | | | | - Assen Roguev
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA
| | | | | | | | - Timothy K Lu
- Senti Biosciences, Inc., South San Francisco, CA 94080, USA; Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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4
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Jin W, Dai Y, Chen L, Zhu H, Dong F, Zhu H, Meng G, Li J, Chen S, Chen Z, Fang H, Wang K. Cellular hierarchy insights reveal leukemic stem-like cells and early death risk in acute promyelocytic leukemia. Nat Commun 2024; 15:1423. [PMID: 38365836 PMCID: PMC10873341 DOI: 10.1038/s41467-024-45737-7] [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: 04/20/2023] [Accepted: 02/02/2024] [Indexed: 02/18/2024] Open
Abstract
Acute promyelocytic leukemia (APL) represents a paradigm for targeted differentiation therapy, with a minority of patients experiencing treatment failure and even early death. We here report a comprehensive single-cell analysis of 16 APL patients, uncovering cellular compositions and their impact on all-trans retinoic acid (ATRA) response in vivo and early death. We unveil a cellular differentiation hierarchy within APL blasts, rooted in leukemic stem-like cells. The oncogenic PML/RARα fusion protein exerts branch-specific regulation in the APL trajectory, including stem-like cells. APL cohort analysis establishes an association of leukemic stemness with elevated white blood cell counts and FLT3-ITD mutations. Furthermore, we construct an APL-specific stemness score, which proves effective in assessing early death risk. Finally, we show that ATRA induces differentiation of primitive blasts and patients with early death exhibit distinct stemness-associated transcriptional programs. Our work provides a thorough survey of APL cellular hierarchies, offering insights into cellular dynamics during targeted therapy.
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Affiliation(s)
- Wen Jin
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuting Dai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Li Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Honghu Zhu
- Department of Hematology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Fangyi Dong
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Hongming Zhu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Guoyu Meng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Junmin Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Saijuan Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhu Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Hai Fang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Kankan Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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5
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Jafari A, Farahani M, Abdollahpour-Alitappeh M, Manzari-Tavakoli A, Yazdani M, Rezaei-Tavirani M. Unveiling diagnostic and therapeutic strategies for cervical cancer: biomarker discovery through proteomics approaches and exploring the role of cervical cancer stem cells. Front Oncol 2024; 13:1277772. [PMID: 38328436 PMCID: PMC10847843 DOI: 10.3389/fonc.2023.1277772] [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: 08/15/2023] [Accepted: 12/27/2023] [Indexed: 02/09/2024] Open
Abstract
Cervical cancer (CC) is a major global health problem and leading cause of cancer deaths among women worldwide. Early detection through screening programs has reduced mortality; however, screening compliance remains low. Identifying non-invasive biomarkers through proteomics for diagnosis and monitoring response to treatment could improve patient outcomes. Here we review recent proteomics studies which have uncovered biomarkers and potential drug targets for CC. Additionally, we explore into the role of cervical cancer stem cells and their potential implications in driving CC progression and therapy resistance. Although challenges remain, proteomics has the potential to revolutionize the field of cervical cancer research and improve patient outcomes.
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Affiliation(s)
- Ameneh Jafari
- Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Masoumeh Farahani
- Skin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Asma Manzari-Tavakoli
- Department of Biology, Faculty of Science, Rayan Center for Neuroscience and Behavior, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Mohsen Yazdani
- Laboratory of Bioinformatics and Drug Design, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
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6
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Ogana HA, Hurwitz S, Wei N, Lee E, Morris K, Parikh K, Kim YM. Targeting integrins in drug-resistant acute myeloid leukaemia. Br J Pharmacol 2024; 181:295-316. [PMID: 37258706 DOI: 10.1111/bph.16149] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/14/2023] [Accepted: 05/10/2023] [Indexed: 06/02/2023] Open
Abstract
Acute myeloid leukaemia (AML) continues to have a poor prognosis, warranting new therapeutic strategies. The bone marrow (BM) microenvironment consists of niches that interact with not only normal haematopoietic stem cells (HSC) but also leukaemia cells like AML. There are many adhesion molecules in the BM microenvironment; therein, integrins have been of central interest. AML cells express integrins that bind to ligands in the microenvironment, enabling adhesion of leukaemia cells in the microenvironment, thereby initiating intracellular signalling pathways that are associated with cell migration, cell proliferation, survival, and drug resistance that has been described to mediate cell adhesion-mediated drug resistance (CAM-DR). Identifying and targeting integrins in AML to interrupt interactions with the microenvironment have been pursued as a strategy to overcome CAM-DR. Here, we focus on the BM microenvironment and review the role of integrins in CAM-DR of AML and discuss integrin-targeting strategies. LINKED ARTICLES: This article is part of a themed issue on Cancer Microenvironment and Pharmacological Interventions. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v181.2/issuetoc.
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Affiliation(s)
- Heather A Ogana
- Children's Hospital Los Angeles, Department of Pediatrics, Division of Hematology and Oncology, Cancer and Blood Disease Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Samantha Hurwitz
- Children's Hospital Los Angeles, Department of Pediatrics, Division of Hematology and Oncology, Cancer and Blood Disease Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Nathan Wei
- Children's Hospital Los Angeles, Department of Pediatrics, Division of Hematology and Oncology, Cancer and Blood Disease Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Eliana Lee
- Children's Hospital Los Angeles, Department of Pediatrics, Division of Hematology and Oncology, Cancer and Blood Disease Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Kayla Morris
- Children's Hospital Los Angeles, Department of Pediatrics, Division of Hematology and Oncology, Cancer and Blood Disease Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Karina Parikh
- Children's Hospital Los Angeles, Department of Pediatrics, Division of Hematology and Oncology, Cancer and Blood Disease Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Yong-Mi Kim
- Children's Hospital Los Angeles, Department of Pediatrics, Division of Hematology and Oncology, Cancer and Blood Disease Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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7
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Agrawal‐Singh S, Bagri J, Sakakini N, Huntly BJP. A guide to epigenetics in leukaemia stem cells. Mol Oncol 2023; 17:2493-2506. [PMID: 37872885 PMCID: PMC10701772 DOI: 10.1002/1878-0261.13544] [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: 04/19/2023] [Revised: 08/11/2023] [Accepted: 10/20/2023] [Indexed: 10/25/2023] Open
Abstract
Leukaemia stem cells (LSCs) are the critical seed for the growth of haematological malignancies, driving the clonal expansion that enables disease initiation, relapse and often resistance. Specifically, they display inherent phenotypic and epigenetic plasticity resulting in complex heterogenic diseases. In this review, we discuss the key principles of deregulation of epigenetic processes that shape this disease evolution. We consider measures to define and quantify clonal heterogeneity, combining information from recent studies assessing mutational, transcriptional and epigenetic landscapes at single cell resolution in myeloid neoplasms (MN). We highlight the importance of integrating epigenetic and genetic information to better understand inter- and intra-patient heterogeneity and discuss how this understanding further informs evolution and progression trajectories and subsequent clinical response in MN. Under this topic, we also discuss efforts to identify mechanisms of resistance, by longitudinal analyses of patient samples. Finally, we highlight how we might target these aberrant epigenetic processes for better therapeutic outcomes and to potentially eradicate LSCs.
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Affiliation(s)
- Shuchi Agrawal‐Singh
- Department of Haematology, Jeffrey Cheah Biomedical CentreUniversity of CambridgeUK
- Cambridge Stem Cell InstituteUniversity of CambridgeUK
| | - Jaana Bagri
- Department of Haematology, Jeffrey Cheah Biomedical CentreUniversity of CambridgeUK
- Cambridge Stem Cell InstituteUniversity of CambridgeUK
| | - Nathalie Sakakini
- Department of Haematology, Jeffrey Cheah Biomedical CentreUniversity of CambridgeUK
- Cambridge Stem Cell InstituteUniversity of CambridgeUK
| | - Brian J. P. Huntly
- Department of Haematology, Jeffrey Cheah Biomedical CentreUniversity of CambridgeUK
- Cambridge Stem Cell InstituteUniversity of CambridgeUK
- Haematology ServiceCambridge University HospitalsUK
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8
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Yu Z, Fidler TP, Ruan Y, Vlasschaert C, Nakao T, Uddin MM, Mack T, Niroula A, Heimlich JB, Zekavat SM, Gibson CJ, Griffin GK, Wang Y, Peloso GM, Heard-Costa N, Levy D, Vasan RS, Aguet F, Ardlie KG, Taylor KD, Rich SS, Rotter JI, Libby P, Jaiswal S, Ebert BL, Bick AG, Tall AR, Natarajan P. Genetic modification of inflammation- and clonal hematopoiesis-associated cardiovascular risk. J Clin Invest 2023; 133:e168597. [PMID: 37498674 PMCID: PMC10503804 DOI: 10.1172/jci168597] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 07/25/2023] [Indexed: 07/29/2023] Open
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) is associated with an increased risk of cardiovascular diseases (CVDs), putatively via inflammasome activation. We pursued an inflammatory gene modifier scan for CHIP-associated CVD risk among 424,651 UK Biobank participants. We identified CHIP using whole-exome sequencing data of blood DNA and modeled as a composite, considering all driver genes together, as well as separately for common drivers (DNMT3A, TET2, ASXL1, and JAK2). We developed predicted gene expression scores for 26 inflammasome-related genes and assessed how they modify CHIP-associated CVD risk. We identified IL1RAP as a potential key molecule for CHIP-associated CVD risk across genes and increased AIM2 gene expression leading to heightened JAK2- and ASXL1-associated CVD risk. We show that CRISPR-induced Asxl1-mutated murine macrophages had a particularly heightened inflammatory response to AIM2 agonism, associated with an increased DNA damage response, as well as increased IL-10 secretion, mirroring a CVD-protective effect of IL10 expression in ASXL1 CHIP. Our study supports the role of inflammasomes in CHIP-associated CVD and provides evidence to support gene-specific strategies to address CHIP-associated CVD risk.
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Affiliation(s)
- Zhi Yu
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Trevor P. Fidler
- Division of Molecular Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Yunfeng Ruan
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | | | - Tetsushi Nakao
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Md Mesbah Uddin
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Taralynn Mack
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Abhishek Niroula
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - J. Brett Heimlich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Seyedeh M. Zekavat
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Ophthalmology, Massachusetts Eye and Ear Institute, Boston, Massachusetts, USA
| | - Christopher J. Gibson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Gabriel K. Griffin
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Yuxuan Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Nancy Heard-Costa
- Department of Medicine, School of Medicine, Boston University, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, Massachusetts, USA
- Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Ramachandran S. Vasan
- Department of Medicine, School of Medicine, Boston University, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | | | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Siddhartha Jaiswal
- Department of Pathology and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Benjamin L. Ebert
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Alexander G. Bick
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alan R. Tall
- Division of Molecular Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Pradeep Natarajan
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
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9
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Zheng YY, Hu ZN, Liu Z, Jiang YC, Guo RP, Ding SJ, Zhou GH. The Effect of Long-Term Passage on Porcine SMCs' Function and the Improvement of TGF-β1 on Porcine SMCs' Secretory Function in Late Passage. Foods 2023; 12:2682. [PMID: 37509774 PMCID: PMC10378609 DOI: 10.3390/foods12142682] [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: 06/08/2023] [Revised: 07/03/2023] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
Cultured meat is one of the meat substitutes produced through tissue engineering and other technologies. Large-scale cell culture is the key for cultured meat products to enter the market. Therefore, this study is aimed to explore the effect of long-term passage in vitro on smooth muscle cells (SMCs) and the effect of transforming growth factor-β1 (TGF-β1) on SMCs in the late passage. Multiple passages lead to the decline of the proliferation rate of SMCs in the proliferation stage and the differentiation ability in the differentiation stage. Transcriptome results showed that the ECM pathway and aging-related signaling pathways were significantly up-regulated in the late passage period. TGF-β1 did not promote SMCs of late passage proliferation at the proliferation stage but promoted the gene and protein expression of collagen as the main protein of the extracellular matrix proteins at the differentiation stage. In addition, proteomic analysis revealed that TGF-β1 promoted the expression of cell adhesion molecules which activate the Hippo signaling pathway and the HIF-1 signaling pathway and further promoted the production of collagen-containing extracellular matrix proteins. This could provide ideas for large-scale production of cultured meat products using SMCs.
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Affiliation(s)
- Yan-Yan Zheng
- National Center of Meat Quality and Safety Nanjing, Key Laboratory of Meat Processing and Quality Control, Key Laboratory of Meat Processing, Nanjing 210095, China
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Ze-Nan Hu
- National Center of Meat Quality and Safety Nanjing, Key Laboratory of Meat Processing and Quality Control, Key Laboratory of Meat Processing, Nanjing 210095, China
| | - Zheng Liu
- National Center of Meat Quality and Safety Nanjing, Key Laboratory of Meat Processing and Quality Control, Key Laboratory of Meat Processing, Nanjing 210095, China
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Yi-Chen Jiang
- National Center of Meat Quality and Safety Nanjing, Key Laboratory of Meat Processing and Quality Control, Key Laboratory of Meat Processing, Nanjing 210095, China
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Ren-Peng Guo
- National Center of Meat Quality and Safety Nanjing, Key Laboratory of Meat Processing and Quality Control, Key Laboratory of Meat Processing, Nanjing 210095, China
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Shi-Jie Ding
- National Center of Meat Quality and Safety Nanjing, Key Laboratory of Meat Processing and Quality Control, Key Laboratory of Meat Processing, Nanjing 210095, China
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Guang-Hong Zhou
- National Center of Meat Quality and Safety Nanjing, Key Laboratory of Meat Processing and Quality Control, Key Laboratory of Meat Processing, Nanjing 210095, China
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
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10
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Ennis S, Conforte A, O’Reilly E, Takanlu JS, Cichocka T, Dhami SP, Nicholson P, Krebs P, Ó Broin P, Szegezdi E. Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia. iScience 2023; 26:106943. [PMID: 37332612 PMCID: PMC10275994 DOI: 10.1016/j.isci.2023.106943] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 03/22/2023] [Accepted: 05/19/2023] [Indexed: 06/20/2023] Open
Abstract
The bone marrow (BM) is a complex microenvironment, coordinating the production of billions of blood cells every day. Despite its essential role and its relevance to hematopoietic diseases, this environment remains poorly characterized. Here we present a high-resolution characterization of the niche in health and acute myeloid leukemia (AML) by establishing a single-cell gene expression database of 339,381 BM cells. We found significant changes in cell type proportions and gene expression in AML, indicating that the entire niche is disrupted. We then predicted interactions between hematopoietic stem and progenitor cells (HSPCs) and other BM cell types, revealing a remarkable expansion of predicted interactions in AML that promote HSPC-cell adhesion, immunosuppression, and cytokine signaling. In particular, predicted interactions involving transforming growth factor β1 (TGFB1) become widespread, and we show that this can drive AML cell quiescence in vitro. Our results highlight potential mechanisms of enhanced AML-HSPC competitiveness and a skewed microenvironment, fostering AML growth.
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Affiliation(s)
- Sarah Ennis
- The SFI Centre for Research Training in Genomics Data Science, Galway, Ireland
- Discipline of Bioinformatics, School of Mathematical & Statistical Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Alessandra Conforte
- Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Eimear O’Reilly
- Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Javid Sabour Takanlu
- Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Tatiana Cichocka
- Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Sukhraj Pal Dhami
- Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Pamela Nicholson
- Next Generation Sequencing Platform, University of Bern, Bern, Switzerland
| | - Philippe Krebs
- Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland
| | - Pilib Ó Broin
- The SFI Centre for Research Training in Genomics Data Science, Galway, Ireland
- Discipline of Bioinformatics, School of Mathematical & Statistical Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Eva Szegezdi
- The SFI Centre for Research Training in Genomics Data Science, Galway, Ireland
- Apoptosis Research Centre, School of Biological & Chemical Sciences, University of Galway, H91 TK33 Galway, Ireland
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11
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Expansion of interferon inducible gene pool via USP18 inhibition promotes cancer cell pyroptosis. Nat Commun 2023; 14:251. [PMID: 36646704 PMCID: PMC9842760 DOI: 10.1038/s41467-022-35348-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 11/29/2022] [Indexed: 01/18/2023] Open
Abstract
While immunotherapy has emerged as a breakthrough cancer therapy, it is only effective in some patients, indicating the need of alternative therapeutic strategies. Induction of cancer immunogenic cell death (ICD) is one promising way to elicit potent adaptive immune responses against tumor-associated antigens. Type I interferon (IFN) is well known to play important roles in different aspects of immune responses, including modulating ICD in anti-tumor action. However, how to expand IFN effect in promoting ICD responses has not been addressed. Here we show that depletion of ubiquitin specific protease 18 (USP18), a negative regulator of IFN signaling, selectively induces cancer cell ICD. Lower USP18 expression correlates with better survival across human selected cancer types and delays cancer progression in mouse models. Mechanistically, nuclear USP18 controls the enhancer landscape of cancer cells and diminishes STAT2-mediated transcription complex binding to IFN-responsive elements. Consequently, USP18 suppression not only enhances expression of canonical IFN-stimulated genes (ISGs), but also activates the expression of a set of atypical ISGs and NF-κB target genes, including genes such as Polo like kinase 2 (PLK2), that induce cancer pyroptosis. These findings may support the use of targeting USP18 as a potential cancer immunotherapy.
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12
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Patel SB, Kuznetsova V, Matkins VR, Franceski AM, Bassal MA, Welner RS. Ex Vivo Expansion of Phenotypic and Transcriptomic Chronic Myeloid Leukemia Stem Cells. Exp Hematol 2022; 115:1-13. [PMID: 36115580 DOI: 10.1016/j.exphem.2022.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/06/2022] [Accepted: 09/08/2022] [Indexed: 12/13/2022]
Abstract
Despite decades of research, standard therapies remain ineffective for most leukemias, pushing toward an essential unmet need for targeted drug screens. Moreover, preclinical drug testing is an important consideration for success of clinical trials without affecting non-transformed stem cells. Using the transgenic chronic myeloid leukemia (CML) mouse model, we determine that leukemic stem cells (LSCs) are transcriptionally heterogenous with a preexistent drug-insensitive signature. To test targeting of potentially important pathways, we establish ex vivo expanded LSCs that have long-term engraftment and give rise to multilineage hematopoiesis. Expanded LSCs share transcriptomic signatures with primary LSCs including enrichment in Wnt, JAK-STAT, MAPK, mTOR and transforming growth factor β signaling pathways. Drug testing on expanded LSCs show that transforming growth factor β and Wnt inhibitors had significant effects on the viability of LSCs, but not leukemia-exposed healthy HSCs. This platform allows testing of multiple drugs at the same time to identify vulnerabilities of LSCs.
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Affiliation(s)
- Sweta B Patel
- Department of Medicine, Division of Hematology/Oncology, O'Neal Comprehensive Cancer Center, University of Alabama, Birmingham, AL; Division of Hematology, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Valeriya Kuznetsova
- Department of Medicine, Division of Hematology/Oncology, O'Neal Comprehensive Cancer Center, University of Alabama, Birmingham, AL
| | - Victoria R Matkins
- Department of Medicine, Division of Hematology/Oncology, O'Neal Comprehensive Cancer Center, University of Alabama, Birmingham, AL
| | - Alana M Franceski
- Department of Medicine, Division of Hematology/Oncology, O'Neal Comprehensive Cancer Center, University of Alabama, Birmingham, AL
| | - Mahmoud A Bassal
- Harvard Stem Cell Institute, Harvard Medical School, Boston, MA; Cancer Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Robert S Welner
- Department of Medicine, Division of Hematology/Oncology, O'Neal Comprehensive Cancer Center, University of Alabama, Birmingham, AL.
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13
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Di Francesco B, Verzella D, Capece D, Vecchiotti D, Di Vito Nolfi M, Flati I, Cornice J, Di Padova M, Angelucci A, Alesse E, Zazzeroni F. NF-κB: A Druggable Target in Acute Myeloid Leukemia. Cancers (Basel) 2022; 14:3557. [PMID: 35884618 PMCID: PMC9319319 DOI: 10.3390/cancers14143557] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/18/2022] [Accepted: 07/19/2022] [Indexed: 02/01/2023] Open
Abstract
Acute Myeloid Leukemia (AML) is an aggressive hematological malignancy that relies on highly heterogeneous cytogenetic alterations. Although in the last few years new agents have been developed for AML treatment, the overall survival prospects for AML patients are still gloomy and new therapeutic options are still urgently needed. Constitutive NF-κB activation has been reported in around 40% of AML patients, where it sustains AML cell survival and chemoresistance. Given the central role of NF-κB in AML, targeting the NF-κB pathway represents an attractive strategy to treat AML. This review focuses on current knowledge of NF-κB's roles in AML pathogenesis and summarizes the main therapeutic approaches used to treat NF-κB-driven AML.
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14
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Houtsma R, van der Meer NK, Meijer K, Morsink LM, Hogeling SM, Woolthuis CM, Ammatuna E, Nijk MT, de Boer B, Huls G, Mulder AB, Schuringa JJ. CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones. Blood Adv 2022; 6:2129-2143. [PMID: 34543390 PMCID: PMC9006304 DOI: 10.1182/bloodadvances.2021005018] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/09/2021] [Indexed: 11/20/2022] Open
Abstract
Acute myeloid leukemia (AML) often presents as an oligoclonal disease whereby multiple genetically distinct subclones can coexist within patients. Differences in signaling and drug sensitivity of such subclones complicate treatment and warrant tools to identify them and track disease progression. We previously identified >50 AML-specific plasma membrane (PM) proteins, and 7 of these (CD82, CD97, FLT3, IL1RAP, TIM3, CD25, and CD123) were implemented in routine diagnostics in patients with AML (n = 256) and myelodysplastic syndrome (n = 33). We developed a pipeline termed CombiFlow in which expression data of multiple PM markers is merged, allowing a principal component-based analysis to identify distinctive marker expression profiles and to generate single-cell t-distributed stochastic neighbor embedding landscapes to longitudinally track clonal evolution. Positivity for one or more of the markers after 2 courses of intensive chemotherapy predicted a shorter relapse-free survival, supporting a role for these markers in measurable residual disease (MRD) detection. CombiFlow also allowed the tracking of clonal evolution in paired diagnosis and relapse samples. Extending the panel to 36 AML-specific markers further refined the CombiFlow pipeline. In conclusion, CombiFlow provides a valuable tool in the diagnosis, MRD detection, clonal tracking, and understanding of clonal heterogeneity in AML.
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Affiliation(s)
| | | | - Kees Meijer
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | | | | | | | - Marije T. Nijk
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | | | - André B. Mulder
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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15
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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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16
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Lu C, Glisovic-Aplenc T, Bernt KM, Nestler K, Cesare J, Cao L, Lee H, Fazelinia H, Chinwalla A, Xu Y, Shestova O, Xing Y, Gill S, Li M, Garcia B, Aplenc R. Longitudinal Large-Scale Semiquantitative Proteomic Data Stability Across Multiple Instrument Platforms. J Proteome Res 2021; 20:5203-5211. [PMID: 34669412 DOI: 10.1021/acs.jproteome.1c00624] [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: 11/29/2022]
Abstract
With the rapid developments in mass spectrometry (MS)-based proteomics methods, label-free semiquantitative proteomics has become an increasingly popular tool for profiling global protein abundances in an unbiased manner. However, the reproducibility of these data across time and LC-MS platforms is not well characterized. Here, we evaluate the performance of three LC-MS platforms (Orbitrap Elite, Q Exactive HF, and Orbitrap Fusion) in label-free semiquantitative analysis of cell surface proteins over a six-year period. Sucrose gradient ultracentrifugation was used for surfaceome enrichment, following gel separation for in-depth protein identification. With our established workflow, we consistently detected and reproducibly quantified >2300 putative cell surface proteins in a human acute myeloid leukemia (AML) cell line on all three platforms. To our knowledge this is the first study reporting highly reproducible semiquantitative proteomic data collection of biological replicates across multiple years and LC-MS platforms. These data provide experimental justification for semiquantitative proteomic study designs that are executed over multiyear time intervals and on different platforms. Multiyear and multiplatform experimental designs will likely enable larger scale proteomic studies and facilitate longitudinal proteomic studies by investigators lacking access to high throughput MS facilities. Data are available via ProteomeXchange with identifier PXD022721.
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Affiliation(s)
- Congcong Lu
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Tina Glisovic-Aplenc
- Division of Oncology, Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States.,Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Kathrin M Bernt
- Division of Oncology, Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States.,Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Kevin Nestler
- Division of Oncology, Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States.,Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Joseph Cesare
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Lusha Cao
- Division of Oncology, Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States.,Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States
| | - Hyoungjoo Lee
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Hossein Fazelinia
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States.,Proteomics Core Facility, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States
| | - Asif Chinwalla
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States
| | - Yang Xu
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States.,Graduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Olga Shestova
- Center for Cellular Immunotherapies, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Yi Xing
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States.,Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States.,Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Saar Gill
- Center for Cellular Immunotherapies, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Mingyao Li
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Benjamin Garcia
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
| | - Richard Aplenc
- Division of Oncology, Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, United States.,Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, United States
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17
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Delineation of target expression profiles in CD34+/CD38- and CD34+/CD38+ stem and progenitor cells in AML and CML. Blood Adv 2021; 4:5118-5132. [PMID: 33085758 DOI: 10.1182/bloodadvances.2020001742] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 08/21/2020] [Indexed: 12/12/2022] Open
Abstract
In an attempt to identify novel markers and immunological targets in leukemic stem cells (LSCs) in acute myeloid leukemia (AML) and chronic myeloid leukemia (CML), we screened bone marrow (BM) samples from patients with AML (n = 274) or CML (n = 97) and controls (n = 288) for expression of cell membrane antigens on CD34+/CD38- and CD34+/CD38+ cells by multicolor flow cytometry. In addition, we established messenger RNA expression profiles in purified sorted CD34+/CD38- and CD34+/CD38+ cells using gene array and quantitative polymerase chain reaction. Aberrantly expressed markers were identified in all cohorts. In CML, CD34+/CD38- LSCs exhibited an almost invariable aberration profile, defined as CD25+/CD26+/CD56+/CD93+/IL-1RAP+. By contrast, in patients with AML, CD34+/CD38- cells variably expressed "aberrant" membrane antigens, including CD25 (48%), CD96 (40%), CD371 (CLL-1; 68%), and IL-1RAP (65%). With the exception of a subgroup of FLT3 internal tandem duplication-mutated patients, AML LSCs did not exhibit CD26. All other surface markers and target antigens detected on AML and/or CML LSCs, including CD33, CD44, CD47, CD52, CD105, CD114, CD117, CD133, CD135, CD184, and roundabout-4, were also found on normal BM stem cells. However, several of these surface targets, including CD25, CD33, and CD123, were expressed at higher levels on CD34+/CD38- LSCs compared with normal BM stem cells. Moreover, antibody-mediated immunological targeting through CD33 or CD52 resulted in LSC depletion in vitro and a substantially reduced LSC engraftment in NOD.Cg-PrkdcscidIl2rgtm1Wjl/SzJ (NSG) mice. Together, we have established surface marker and target expression profiles of AML LSCs and CML LSCs, which should facilitate LSC enrichment, diagnostic LSC phenotyping, and development of LSC-eradicating immunotherapies.
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18
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Depreter B, De Moerloose B, Vandepoele K, Uyttebroeck A, Van Damme A, Terras E, Denys B, Dedeken L, Dresse MF, Van der Werff Ten Bosch J, Hofmans M, Philippé J, Lammens T. Deciphering molecular heterogeneity in pediatric AML using a cancer vs. normal transcriptomic approach. Pediatr Res 2021; 89:1695-1705. [PMID: 33069162 DOI: 10.1038/s41390-020-01199-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 07/30/2020] [Accepted: 09/25/2020] [Indexed: 11/10/2022]
Abstract
BACKGROUND Still 30-40% of pediatric acute myeloid leukemia (pedAML) patients relapse. Delineation of the transcriptomic profile of leukemic subpopulations could aid in a better understanding of molecular biology and provide novel biomarkers. METHODS Using microarray profiling and quantitative PCR validation, transcript expression was measured in leukemic stem cells (LSC, n = 24) and leukemic blasts (L-blast, n = 25) from pedAML patients in comparison to hematopoietic stem cells (HSCs, n = 19) and control myeloblasts (C-blast, n = 20) sorted from healthy subjects. Gene set enrichment analysis was performed to identify relevant gene set enrichment signatures, and functional protein associations were identified by STRING analysis. RESULTS Highly significantly overexpressed genes in LSC and L-blast were identified with a vast majority not studied in AML. CDKN1A, CFP, and CFD (LSC) and HOMER3, CTSA, and GADD45B (L-blast) represent potentially interesting biomarkers and therapeutic targets. Eleven LSC downregulated targets were identified that potentially qualify as tumor suppressor genes, with MYCT1, PBX1, and PTPRD of highest interest. Inflammatory and immune dysregulation appeared to be perturbed biological networks in LSC, whereas dysregulated metabolic profiles were observed in L-blast. CONCLUSION Our study illustrates the power of taking into account cell population heterogeneity and reveals novel targets eligible for functional evaluation and therapy in pedAML. IMPACT Novel transcriptional targets were discovered showing a significant differential expression in LSCs and blasts from pedAML patients compared to their normal counterparts from healthy controls. Deregulated pathways, including immune and metabolic dysregulation, were addressed for the first time in children, offering a deeper understanding of the molecular pathogenesis. These novel targets have the potential of acting as biomarkers for risk stratification, follow-up, and targeted therapy. Multiple LSC-downregulated targets endow tumor suppressor roles in other cancer entities, and further investigation whether hypomethylating therapy could result into LSC eradication in pedAML is warranted.
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Affiliation(s)
- Barbara Depreter
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.
| | - Barbara De Moerloose
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent, Ghent, Belgium.,Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Karl Vandepoele
- Cancer Research Institute Ghent, Ghent, Belgium.,Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Anne Uyttebroeck
- Department of Pediatrics, University Hospital Gasthuisberg, Leuven, Belgium
| | - An Van Damme
- Department of Pediatric Hematology Oncology, University Hospital Saint-Luc, Brussels, Belgium
| | - Eva Terras
- Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Barbara Denys
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Laurence Dedeken
- Department of Pediatric Hematology Oncology, Queen Fabiola Children's University Hospital, Brussels, Belgium
| | | | | | - Mattias Hofmans
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent, Ghent, Belgium
| | - Jan Philippé
- Cancer Research Institute Ghent, Ghent, Belgium.,Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Tim Lammens
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent, Ghent, Belgium.,Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
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19
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Swatler J, Turos-Korgul L, Kozlowska E, Piwocka K. Immunosuppressive Cell Subsets and Factors in Myeloid Leukemias. Cancers (Basel) 2021; 13:cancers13061203. [PMID: 33801964 PMCID: PMC7998753 DOI: 10.3390/cancers13061203] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/05/2021] [Accepted: 03/05/2021] [Indexed: 12/13/2022] Open
Abstract
Simple Summary Effector immune system cells have the ability to kill tumor cells. However, as a cancer (such as leukemia) develops, it inhibits and evades the effector immune response. Such a state of immunosuppression can be driven by several factors – receptors, soluble cytokines, as well as by suppressive immune cells. In this review, we describe factors and cells that constitute immunosuppressive microenvironment of myeloid leukemias. We characterize factors of direct leukemic origin, such as inhibitory receptors, enzymes and extracellular vesicles. Furthermore, we describe suppressive immune cells, such as myeloid derived suppressor cells and regulatory T cells. Finally, we sum up changes in these drivers of immune evasion in myeloid leukemias during therapy. Abstract Both chronic myeloid leukemia and acute myeloid leukemia evade the immune response during their development and disease progression. As myeloid leukemia cells modify their bone marrow microenvironment, they lead to dysfunction of cytotoxic cells, such as CD8+ T cells or NK cells, simultaneously promoting development of immunosuppressive regulatory T cells and suppressive myeloid cells. This facilitates disease progression, spreading of leukemic blasts outside the bone marrow niche and therapy resistance. The following review focuses on main immunosuppressive features of myeloid leukemias. Firstly, factors derived directly from leukemic cells – inhibitory receptors, soluble factors and extracellular vesicles, are described. Further, we outline function, properties and origin of main immunosuppressive cells - regulatory T cells, myeloid derived suppressor cells and macrophages. Finally, we analyze interplay between recovery of effector immunity and therapeutic modalities, such as tyrosine kinase inhibitors and chemotherapy.
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Affiliation(s)
- Julian Swatler
- Laboratory of Cytometry, Nencki Institute of Experimental Biology, 02-093 Warsaw, Poland; (J.S.); (L.T.-K.)
| | - Laura Turos-Korgul
- Laboratory of Cytometry, Nencki Institute of Experimental Biology, 02-093 Warsaw, Poland; (J.S.); (L.T.-K.)
| | - Ewa Kozlowska
- Department of Immunology, Institute of Functional Biology and Ecology, University of Warsaw, 02-096 Warsaw, Poland;
| | - Katarzyna Piwocka
- Laboratory of Cytometry, Nencki Institute of Experimental Biology, 02-093 Warsaw, Poland; (J.S.); (L.T.-K.)
- Correspondence:
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20
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Integrin α6 mediates the drug resistance of acute lymphoblastic B-cell leukemia. Blood 2021; 136:210-223. [PMID: 32219444 DOI: 10.1182/blood.2019001417] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 03/12/2020] [Indexed: 02/06/2023] Open
Abstract
Resistance to multimodal chemotherapy continues to limit the prognosis of acute lymphoblastic leukemia (ALL). This occurs in part through a process called adhesion-mediated drug resistance, which depends on ALL cell adhesion to the stroma through adhesion molecules, including integrins. Integrin α6 has been implicated in minimal residual disease in ALL and in the migration of ALL cells to the central nervous system. However, it has not been evaluated in the context of chemotherapeutic resistance. Here, we show that the anti-human α6-blocking Ab P5G10 induces apoptosis in primary ALL cells in vitro and sensitizes primary ALL cells to chemotherapy or tyrosine kinase inhibition in vitro and in vivo. We further analyzed the underlying mechanism of α6-associated apoptosis using a conditional knockout model of α6 in murine BCR-ABL1+ B-cell ALL cells and showed that α6-deficient ALL cells underwent apoptosis. In vivo deletion of α6 in combination with tyrosine kinase inhibitor (TKI) treatment was more effective in eradicating ALL than treatment with a TKI (nilotinib) alone. Proteomic analysis revealed that α6 deletion in murine ALL was associated with changes in Src signaling, including the upregulation of phosphorylated Lyn (pTyr507) and Fyn (pTyr530). Thus, our data support α6 as a novel therapeutic target for ALL.
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21
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Lim RRX, Fung FM, Feng HT, Li SFY. Analysis of lipopolysaccharides by coupling microscale solid-phase extraction with capillary electrophoresis-laser induced fluorescence. Microchem J 2021. [DOI: 10.1016/j.microc.2020.105771] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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22
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Lin G, Zhang Y, Yu L, Wu D. Cytotoxic effect of CLL‑1 CAR‑T cell immunotherapy with PD‑1 silencing on relapsed/refractory acute myeloid leukemia. Mol Med Rep 2021; 23:208. [PMID: 33495835 PMCID: PMC7830996 DOI: 10.3892/mmr.2021.11847] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 11/04/2020] [Indexed: 01/29/2023] Open
Abstract
The activation of chimeric antigen receptor (CAR)-T cells can lead to persistently high levels of programmed cell death 1 (PD-1) antigen and eventually causes the exhaustion of T cells. The effectiveness of CAR-T cells targeting C-type lectin-like molecule-1 (CLL-1) combined with PD-1 silencing therapy for acute myeloid leukemia (AML) was evaluated in the present study. CLL-1 levels in primary AML bone marrow samples was examined using flow cytometric analysis. We designed a CLL-1 CAR-T, containing CLL-1-specific single-chain variable fragment, CD28, OX40, CD8 hinge and TM and CD3-ζ signaling domains. CLL-1 CAR-T with PD-1 silencing was constructed. It was confirmed that CLL-1 is expressed on the surface of AML cells. CLL-1 CAR-T showed specific lysing activity against CLL-1+ AML cells. PD-1 silencing enhanced the killing ability of CLL-1 CAR-T. Furthermore, it was found that CAR-T derived from healthy donor T cells was more effective in killing THP-1 cells (a human acute monocytic leukemia cell line) than those from patient-derived T cells. These results indicated that CLL-1 CAR-T and PD-1 knockdown CLL-1 CAR-T could be used as a potential immunotherapy to treat relapsed or refractory AML.
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Affiliation(s)
- Guoqiang Lin
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Yanming Zhang
- Department of Hematology, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an Second People's Hospital, Huai'an, Jiangsu 223002, P.R. China
| | - Lei Yu
- Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200065, P.R. China
| | - Depei Wu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
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23
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Arnone M, Konantz M, Hanns P, Paczulla Stanger AM, Bertels S, Godavarthy PS, Christopeit M, Lengerke C. Acute Myeloid Leukemia Stem Cells: The Challenges of Phenotypic Heterogeneity. Cancers (Basel) 2020; 12:E3742. [PMID: 33322769 PMCID: PMC7764578 DOI: 10.3390/cancers12123742] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 12/02/2020] [Accepted: 12/10/2020] [Indexed: 02/08/2023] Open
Abstract
Patients suffering from acute myeloid leukemia (AML) show highly heterogeneous clinical outcomes. Next to variabilities in patient-specific parameters influencing treatment decisions and outcome, this is due to differences in AML biology. In fact, different genetic drivers may transform variable cells of origin and co-exist with additional genetic lesions (e.g., as observed in clonal hematopoiesis) in a variety of leukemic (sub)clones. Moreover, AML cells are hierarchically organized and contain subpopulations of more immature cells called leukemic stem cells (LSC), which on the cellular level constitute the driver of the disease and may evolve during therapy. This genetic and hierarchical complexity results in a pronounced phenotypic variability, which is observed among AML cells of different patients as well as among the leukemic blasts of individual patients, at diagnosis and during the course of the disease. Here, we review the current knowledge on the heterogeneous landscape of AML surface markers with particular focus on those identifying LSC, and discuss why identification and targeting of this important cellular subpopulation in AML remains challenging.
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Affiliation(s)
- Marlon Arnone
- Department of Biomedicine, University of Basel and University Hospital Basel, Hebelstrasse 20, 4031 Basel, Switzerland; (M.A.); (M.K.); (P.H.)
| | - Martina Konantz
- Department of Biomedicine, University of Basel and University Hospital Basel, Hebelstrasse 20, 4031 Basel, Switzerland; (M.A.); (M.K.); (P.H.)
| | - Pauline Hanns
- Department of Biomedicine, University of Basel and University Hospital Basel, Hebelstrasse 20, 4031 Basel, Switzerland; (M.A.); (M.K.); (P.H.)
| | - Anna M. Paczulla Stanger
- Internal Medicine II, Hematology, Oncology, Clinical Immunology and Rheumatology, Department for Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany; (A.M.P.S.); (S.B.); (P.S.G.); (M.C.)
| | - Sarah Bertels
- Internal Medicine II, Hematology, Oncology, Clinical Immunology and Rheumatology, Department for Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany; (A.M.P.S.); (S.B.); (P.S.G.); (M.C.)
| | - Parimala Sonika Godavarthy
- Internal Medicine II, Hematology, Oncology, Clinical Immunology and Rheumatology, Department for Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany; (A.M.P.S.); (S.B.); (P.S.G.); (M.C.)
| | - Maximilian Christopeit
- Internal Medicine II, Hematology, Oncology, Clinical Immunology and Rheumatology, Department for Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany; (A.M.P.S.); (S.B.); (P.S.G.); (M.C.)
| | - Claudia Lengerke
- Department of Biomedicine, University of Basel and University Hospital Basel, Hebelstrasse 20, 4031 Basel, Switzerland; (M.A.); (M.K.); (P.H.)
- Internal Medicine II, Hematology, Oncology, Clinical Immunology and Rheumatology, Department for Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany; (A.M.P.S.); (S.B.); (P.S.G.); (M.C.)
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24
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Bondarev AD, Attwood MM, Jonsson J, Chubarev VN, Tarasov VV, Schiöth HB. Opportunities and challenges for drug discovery in modulating Adhesion G protein-coupled receptor (GPCR) functions. Expert Opin Drug Discov 2020; 15:1291-1307. [DOI: 10.1080/17460441.2020.1791075] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Andrey D. Bondarev
- Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
- Department Of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden
| | - Misty M. Attwood
- Department Of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden
| | - Jörgen Jonsson
- Department Of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden
| | - Vladimir N. Chubarev
- Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Vadim V. Tarasov
- Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
- Institute of Translational Medicine and Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Helgi B. Schiöth
- Department Of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden
- Institute of Translational Medicine and Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
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25
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Floren M, Restrepo Cruz S, Termini CM, Marjon KD, Lidke KA, Gillette JM. Tetraspanin CD82 drives acute myeloid leukemia chemoresistance by modulating protein kinase C alpha and β1 integrin activation. Oncogene 2020; 39:3910-3925. [PMID: 32203165 PMCID: PMC7210072 DOI: 10.1038/s41388-020-1261-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/03/2020] [Accepted: 03/05/2020] [Indexed: 02/07/2023]
Abstract
A principal challenge in treating acute myeloid leukemia (AML) is chemotherapy refractory disease. As such, there remains a critical need to identify key regulators of chemotherapy resistance in AML. In this study, we demonstrate that the membrane scaffold, CD82, contributes to the chemoresistant phenotype of AML. Using an RNA-seq approach, we identified the increased expression of the tetraspanin family member, CD82, in response to the chemotherapeutic, daunorubicin. Analysis of the TARGET and BEAT AML databases identifies a correlation between CD82 expression and overall survival of AML patients. Moreover, using a combination of cell lines and patient samples, we find that CD82 overexpression results in significantly reduced cell death in response to chemotherapy. Investigation of the mechanism by which CD82 promotes AML survival in response to chemotherapy identified a crucial role for enhanced protein kinase c alpha (PKCα) signaling and downstream activation of the β1 integrin. In addition, analysis of β1 integrin clustering by super-resolution imaging demonstrates that CD82 expression promotes the formation of dense β1 integrin membrane clusters. Lastly, evaluation of survival signaling following daunorubicin treatment identified robust activation of p38 mitogen-activated protein kinase (MAPK) downstream of PKCα and β1 integrin signaling when CD82 is overexpressed. Together, these data propose a mechanism where CD82 promotes chemoresistance by increasing PKCα activation and downstream activation/clustering of β1 integrin, leading to AML cell survival via activation of p38 MAPK. These observations suggest that the CD82-PKCα signaling axis may be a potential therapeutic target for attenuating chemoresistance signaling in AML.
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Affiliation(s)
- Muskan Floren
- Department of Pathology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Sebastian Restrepo Cruz
- Department of Pathology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Christina M Termini
- Department of Pathology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Kristopher D Marjon
- Department of Pathology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Keith A Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
- University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, 87131, USA
| | - Jennifer M Gillette
- Department of Pathology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
- University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, 87131, USA.
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26
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RUNX1 mutations enhance self-renewal and block granulocytic differentiation in human in vitro models and primary AMLs. Blood Adv 2020; 3:320-332. [PMID: 30709863 DOI: 10.1182/bloodadvances.2018024422] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 12/24/2018] [Indexed: 12/21/2022] Open
Abstract
To unravel molecular mechanisms by which Runt-related transcription factor 1 (RUNX1) mutations contribute to leukemic transformation, we introduced the RUNX1-S291fs300X mutation in human CD34+ stem/progenitor cells and in human induced pluripotent stem cells (iPSCs). In both models, RUNX1mut overexpression strongly impaired myeloid commitment. Instead, self-renewal was enhanced, as shown, by increased long-term culture-initiating cell frequencies and enhanced colony-forming cell replating capacity. Long-term suspension cultures with RUNX1mut-transduced cord blood (CB) CD34+ cells continued for more than 100 days, during which the cells displayed an immature granulocyte-macrophage progenitor-like CD34+/CD123+/CD45RA+ phenotype. The CD34+/CD38- hematopoietic stem cell (HSC) population most likely acted as cell of origin, as HSCs provided the best long-term proliferative potential on overexpression of RUNX1mut. CEBPA expression was reduced in RUNX1mut cells, and reexpression of CEBPA partly restored differentiation. RNA-seq analysis on CB/iPSC systems and on primary patient samples confirmed that RUNX1 mutations induce a myeloid differentiation block, and that a common set of RUNX1mut-upregulated target genes was strongly enriched for gene ontology terms associated with nucleosome assembly and chromatin structure. Interestingly, in comparison with AML1-ETO binding in acute myeloid leukemias (AMLs), we found significantly distinct genomic distribution and differential expression for RUNX1mut of genes such as TCF4, MEIS1, and HMGA2 that may potentially contribute to the underlying difference in clinical outcomes between RUNX1mut and AML1-ETO patients. In conclusion, RUNX1mut appears to induce a specific transcriptional program that contributes to leukemic transformation.
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27
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Mitchell K, Steidl U. Targeting Immunophenotypic Markers on Leukemic Stem Cells: How Lessons from Current Approaches and Advances in the Leukemia Stem Cell (LSC) Model Can Inform Better Strategies for Treating Acute Myeloid Leukemia (AML). Cold Spring Harb Perspect Med 2020; 10:cshperspect.a036251. [PMID: 31451539 DOI: 10.1101/cshperspect.a036251] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Therapies targeting cell-surface antigens in acute myeloid leukemia (AML) have been tested over the past 20 years with limited improvement in overall survival. Recent advances in the understanding of AML pathogenesis support therapeutic targeting of leukemia stem cells as the most promising avenue toward a cure. In this review, we provide an overview of the evolving leukemia stem cell (LSC) model, including evidence of the cell of origin, cellular and molecular disease architecture, and source of relapse in AML. In addition, we explore limitations of current targeted strategies utilized in AML and describe the various immunophenotypic antigens that have been proposed as LSC-directed therapeutic targets. We draw lessons from current approaches as well as from the (pre)-LSC model to suggest criteria that immunophenotypic targets should meet for more specific and effective elimination of disease-initiating clones, highlighting in detail a few targets that we suggest fit these criteria most completely.
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Affiliation(s)
- Kelly Mitchell
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, New York 10461, USA
| | - Ulrich Steidl
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, New York 10461, USA.,Department of Medicine (Oncology), Division of Hemato-Oncology, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, New York 10461, USA.,Albert Einstein Cancer Center, Albert Einstein College of Medicine, Bronx, New York 10461, USA.,Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, Bronx, New York 10461, USA
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28
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Kapoor S, Shenoy SP, Bose B. CD34 cells in somatic, regenerative and cancer stem cells: Developmental biology, cell therapy, and omics big data perspective. J Cell Biochem 2019; 121:3058-3069. [PMID: 31886574 DOI: 10.1002/jcb.29571] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 12/11/2019] [Indexed: 12/11/2022]
Abstract
The transmembrane phosphoglycoprotein protein CD34 has conventionally been regarded as a marker for hematopoietic progenitors. Its expression on these cells has been leveraged for cell therapy applications in various hematological disorders. More recently, the expression of CD34 has also been reported on cells of nonhematopoietic origin. The list includes somatic cells such as endothelial cells, fibrocytes and interstitial cells and regenerative stem cells such as corneal keratocytes, muscle satellite cells, and muscle-derived stem cells. Furthermore, its expression on some cancer stem cells (CSCs) has also been reported. Till date, the functional roles of this molecule have been implicated in a multitude of cellular processes including cell adhesion, signal transduction, and maintenance of progenitor phenotype. However, the complete understanding about this molecule including its developmental origins, its embryonic connection, and associated functions is far from complete. Here, we review our present understanding of the structure and putative functions of the CD34 molecule based upon our literature survey. We also probed various biological databases to retrieve data related to the expression and associated molecular functions of CD34. Such information, upon synthesis, is hence likely to provide the suitability of such cells for cell therapy. Moreover, we have also covered the existing cell therapy and speculated cell therapy applications of CD34+ cells isolated from various lineages. We have also attempted here to speculate the role(s) of CD34 on CSCs. Finally, we discuss number of large-scale proteomics and transcriptomics studies that have been performed using CD34+ cells.
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Affiliation(s)
- Saketh Kapoor
- Stem Cells and Regenerative Medicine Centre, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India
| | - Sudheer P Shenoy
- Stem Cells and Regenerative Medicine Centre, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India
| | - Bipasha Bose
- Stem Cells and Regenerative Medicine Centre, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India
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29
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Bigoni-Ordóñez GD, Czarnowski D, Parsons T, Madlambayan GJ, Villa-Diaz LG. Integrin α6 (CD49f), The Microenvironment and Cancer Stem Cells. Curr Stem Cell Res Ther 2019; 14:428-436. [PMID: 30280675 DOI: 10.2174/1574888x13666181002151330] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 08/20/2018] [Accepted: 09/02/2018] [Indexed: 12/16/2022]
Abstract
Cancer is a highly prevalent and potentially terminal disease that affects millions of individuals worldwide. Here, we review the literature exploring the intricacies of stem cells bearing tumorigenic characteristics and collect evidence demonstrating the importance of integrin α6 (ITGA6, also known as CD49f) in cancer stem cell (CSC) activity. ITGA6 is commonly used to identify CSC populations in various tissues and plays an important role sustaining the self-renewal of CSCs by interconnecting them with the tumorigenic microenvironment.
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Affiliation(s)
- Gabriele D Bigoni-Ordóñez
- Division de Investigacion Basica, Instituto Nacional de Cancerologia, Secretaria de Salud, Mexico City, Mexico.,Programa de Maestría y Doctorado en Ciencias Bioquímicas, Facultad de Química, UNAM, Mexico City, Mexico
| | - Daniel Czarnowski
- Department of Biological Sciences, Oakland University, Rochester, MI 48309, United States
| | - Tyler Parsons
- Department of Biological Sciences, Oakland University, Rochester, MI 48309, United States
| | - Gerard J Madlambayan
- Department of Biological Sciences, Oakland University, Rochester, MI 48309, United States
| | - Luis G Villa-Diaz
- Department of Biological Sciences, Oakland University, Rochester, MI 48309, United States
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30
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Selheim F, Aasebø E, Ribas C, Aragay AM. An Overview on G Protein-coupled Receptor-induced Signal Transduction in Acute Myeloid Leukemia. Curr Med Chem 2019; 26:5293-5316. [PMID: 31032748 DOI: 10.2174/0929867326666190429153247] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 03/22/2019] [Accepted: 04/05/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Acute Myeloid Leukemia (AML) is a genetically heterogeneous disease characterized by uncontrolled proliferation of precursor myeloid-lineage cells in the bone marrow. AML is also characterized by patients with poor long-term survival outcomes due to relapse. Many efforts have been made to understand the biological heterogeneity of AML and the challenges to develop new therapies are therefore enormous. G Protein-coupled Receptors (GPCRs) are a large attractive drug-targeted family of transmembrane proteins, and aberrant GPCR expression and GPCR-mediated signaling have been implicated in leukemogenesis of AML. This review aims to identify the molecular players of GPCR signaling, focusing on the hematopoietic system, which are involved in AML to help developing novel drug targets and therapeutic strategies. METHODS We undertook an exhaustive and structured search of bibliographic databases for research focusing on GPCR, GPCR signaling and expression in AML. RESULTS AND CONCLUSION Many scientific reports were found with compelling evidence for the involvement of aberrant GPCR expression and perturbed GPCR-mediated signaling in the development of AML. The comprehensive analysis of GPCR in AML provides potential clinical biomarkers for prognostication, disease monitoring and therapeutic guidance. It will also help to provide marker panels for monitoring in AML. We conclude that GPCR-mediated signaling is contributing to leukemogenesis of AML, and postulate that mass spectrometrybased protein profiling of primary AML cells will accelerate the discovery of potential GPCR related biomarkers for AML.
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Affiliation(s)
- Frode Selheim
- The Proteomics Unit at the University of Bergen, Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
| | - Elise Aasebø
- The Proteomics Unit at the University of Bergen, Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway.,Department of Clinical Science, University of Bergen, Jonas Lies vei 87, 5021 Bergen, Norway
| | - Catalina Ribas
- Departamento de Biología Molecular and Centro de Biología Molecular "Severo Ochoa" (UAM-CSIC), 28049 Madrid, Spain.,Instituto de Investigación Sanitaria La Princesa, 28006 Madrid, Spain.,CIBER de Enfermedades Cardiovasculares, ISCIII (CIBERCV), 28029 Madrid, Spain
| | - Anna M Aragay
- Departamento de Biologia Celular. Instituto de Biología Molecular de Barcelona (IBMB-CSIC), Spanish National Research Council (CSIC), Baldiri i Reixac, 15, 08028 Barcelona, Spain
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31
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Xu X, Wang Y, Mojumdar K, Zhou Z, Jeong KJ, Mangala LS, Yu S, Tsang YH, Rodriguez-Aguayo C, Lu Y, Lopez-Berestein G, Sood AK, Mills GB, Liang H. A-to-I-edited miRNA-379-5p inhibits cancer cell proliferation through CD97-induced apoptosis. J Clin Invest 2019; 129:5343-5356. [PMID: 31682236 PMCID: PMC6877318 DOI: 10.1172/jci123396] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 05/29/2019] [Indexed: 12/26/2022] Open
Abstract
Both miRNAs and A-to-I RNA editing, a widespread nucleotide modification mechanism, have recently emerged as key players in cancer pathophysiology. However, the functional impact of RNA editing of miRNAs in cancer remains largely unexplored. Here, we focused on an ADAR2-catalyzed RNA editing site within the miR-379-5p seed region. This site was under-edited in tumors relative to normal tissues, with a high editing level being correlated with better patient survival times across cancer types. We demonstrated that in contrast to wild-type miRNA, edited miR-379-5p inhibited cell proliferation and promoted apoptosis in diverse tumor contexts in vitro, which was due to the ability of edited but not wild-type miR-379-5p to target CD97. Importantly, through nanoliposomal delivery, edited miR-379-5p mimics significantly inhibited tumor growth and extended survival of mice. Our study indicates a role of RNA editing in diversifying miRNA function during cancer progression and highlights the translational potential of edited miRNAs as a new class of cancer therapeutics.
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Affiliation(s)
- Xiaoyan Xu
- Department of Pathophysiology, College of Basic Medical Science, China Medical University, Shenyang, Liaoning Province, China
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yumeng Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, Texas, USA
| | - Kamalika Mojumdar
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Zhicheng Zhou
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Systems Biology
| | | | - Lingegowda S. Mangala
- Department of Gynecologic Oncology and Reproductive Medicine, and
- Center for RNA Interference and Non–Coding RNAs, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Yiu Huen Tsang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Cristian Rodriguez-Aguayo
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Gabriel Lopez-Berestein
- Center for RNA Interference and Non–Coding RNAs, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Anil K. Sood
- Department of Gynecologic Oncology and Reproductive Medicine, and
- Center for RNA Interference and Non–Coding RNAs, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Han Liang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, Texas, USA
- Department of Systems Biology
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32
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Mastelaro de Rezende M, Ferreira AT, Paredes-Gamero EJ. Leukemia stem cell immunophenotyping tool for diagnostic, prognosis, and therapeutics. J Cell Physiol 2019; 235:4989-4998. [PMID: 31709540 DOI: 10.1002/jcp.29394] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Accepted: 10/25/2019] [Indexed: 12/15/2022]
Abstract
The existence of cancer stem cells is debatable in numerous solid tumors, yet in leukemia, there is compelling evidence of this cell population. Leukemic stem cells (LSCs) are altered cells in which accumulating genetic and/or epigenetic alterations occur, resulting in the transition between the normal, preleukemic, and leukemic status. These cells do not follow the normal differentiation program; they are arrested in a primitive state but with high proliferation potential, generating undifferentiated blast accumulation and a lack of a mature cell population. The identification of LSCs might guide stem cell biology research and provide key points of distinction between these cells and their normal counterparts. The identification and characterization of the main features of LSCs can be useful as tools for diagnosis and treatment. In this context, the aim of the present review was to connect immunophenotype data in the main types of leukemia to further guide technical improvements.
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Affiliation(s)
| | - Alice T Ferreira
- Departamento de Biofísica, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Edgar J Paredes-Gamero
- Departamento de Bioquímica, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,Division - Faculdade de Ciências Farmacêuticas, Alimentos e Nutrição, Universidade Federal do Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
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33
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Characterization of upregulated adhesion GPCRs in acute myeloid leukemia. Transl Res 2019; 212:26-35. [PMID: 31153896 PMCID: PMC7473775 DOI: 10.1016/j.trsl.2019.05.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 05/14/2019] [Accepted: 05/16/2019] [Indexed: 11/20/2022]
Abstract
The role of adhesion G protein-coupled receptors (aGPCRs) in cancer has become increasingly evident in recent years. Yet, data supporting the contribution of this family of genes to hematological malignancies, particularly acute myeloid leukemia (AML) are limited. Here, we use publicly available genomic data to characterize the expression of the 33 aGPCRs in patients with AML and examine whether upregulation of these genes is associated with the clinical and molecular characteristics of patients. Upregulation in one or more of eight aGPCR genes (ADGRB1, ADGRC2, ADGRD1, ADGRE1, ADGRE2, ADGRE5, ADGRG1, and/or ADGRG3) was significantly associated with shorter overall survival (OS) (median OS: 11.8 vs 55.4 months; P < 0.0001). This was also significant in multivariate survival analysis (hazard ratio: 1.73; 95% confidence interval 1.11-2.69; P = 0.015) after adjusting for age, molecular risk status, and transplant status. High expression of the eight aGPCRs was significantly associated with older age (≥60; P = 0.011). Patients with high aGPCRs expression were more frequently classified in the poor molecular risk status group and less in the good risk status group compared with patients with low aGPCRs expression (31% vs 17% P = 0.049 and 14% vs 28% P = 0.027, respectively). Via Ingenuity Pathway Analysis, we identified the interleukin-8 signaling pathway among the most activated pathways in patients with high aGPCRs expression. Overall, our data suggest that particular aGPCRs are frequently upregulated in AML and associated with poor clinical outcome. Future functional and mechanistic analyses are needed to address the role of aGPCRs in AML.
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34
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Sun S, Zou H, Li L, Liu Q, Ding N, Zeng L, Li H, Mao S. CD123/CD33 dual-antibody modified liposomes effectively target acute myeloid leukemia cells and reduce antigen-negative escape. Int J Pharm 2019; 568:118518. [DOI: 10.1016/j.ijpharm.2019.118518] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 06/30/2019] [Accepted: 07/11/2019] [Indexed: 12/29/2022]
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35
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Vaikari VP, Du Y, Wu S, Zhang T, Metzeler K, Batcha AMN, Herold T, Hiddemann W, Akhtari M, Alachkar H. Clinical and preclinical characterization of CD99 isoforms in acute myeloid leukemia. Haematologica 2019; 105:999-1012. [PMID: 31371417 PMCID: PMC7109747 DOI: 10.3324/haematol.2018.207001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 07/25/2019] [Indexed: 12/19/2022] Open
Abstract
In an effort to identify target genes in acute myeloid leukemia (AML), we compared gene expression profiles between normal and AML cells from various publicly available datasets. We identified CD99, a gene that is up-regulated in AML patients. In 186 patients from The Cancer Genome Atlas AML dataset, CD99 was over-expressed in patients with FLT3-ITD and was down-regulated in patients with TP53 mutations. CD99 is a trans-membrane protein expressed on leukocytes and plays a role in cell adhesion, trans-endothelial migration, and T-cell differentiation. The CD99 gene encodes two isoforms with distinct expression and functional profiles in both normal and malignant tissues. Here we report that, although the CD99 long isoform initially induces an increase in cell proliferation, it also induces higher levels of reactive oxygen species, DNA damage, apoptosis and a subsequent decrease in cell viability. In several leukemia murine models, the CD99 long isoform delayed disease progression and resulted in lower leukemia engraftment in the bone marrow. Furthermore, the CD99 monoclonal antibody reduced cell viability, colony formation, and cell migration, and induced cell differentiation and apoptosis in leukemia cell lines and primary blasts. Mechanistically, CD99 long isoform resulted in transient induction followed by a dramatic decrease in both ERK and SRC phosphorylation. Altogether, our study provides new insights into the role of CD99 isoforms in AML that could potentially be relevant for the preclinical development of CD99 targeted therapy.
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Affiliation(s)
- Vijaya Pooja Vaikari
- Titus Family Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA
| | - Yang Du
- Titus Family Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA
| | - Sharon Wu
- Titus Family Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA
| | - Tian Zhang
- Medical Biology Program, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Klaus Metzeler
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Aarif M N Batcha
- Institute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany.,Data Integration for Future Medicine (DiFuture, www.difuture.de), LMU Munich, Germany
| | - Tobias Herold
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,Research Unit Apoptosis in Hematopoietic Stem Cells, Helmholtz Zentrum München, German Center for Environmental Health (HMGU), Munich Germany
| | - Wolfgang Hiddemann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Mojtaba Akhtari
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles Southern California, Los Angeles, CA, USA
| | - Houda Alachkar
- Titus Family Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA .,USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles Southern California, Los Angeles, CA, USA
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36
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Depreter B, Weening KE, Vandepoele K, Essand M, De Moerloose B, Themeli M, Cloos J, Hanekamp D, Moors I, D'hont I, Denys B, Uyttebroeck A, Van Damme A, Dedeken L, Snauwaert S, Goetgeluk G, De Munter S, Kerre T, Vandekerckhove B, Lammens T, Philippé J. TARP is an immunotherapeutic target in acute myeloid leukemia expressed in the leukemic stem cell compartment. Haematologica 2019; 105:1306-1316. [PMID: 31371409 PMCID: PMC7193481 DOI: 10.3324/haematol.2019.222612] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 07/12/2019] [Indexed: 12/26/2022] Open
Abstract
Immunotherapeutic strategies targeting the rare leukemic stem cell compartment might provide salvage to the high relapse rates currently observed in acute myeloid leukemia (AML). We applied gene expression profiling for comparison of leukemic blasts and leukemic stem cells with their normal counterparts. Here, we show that the T-cell receptor γ chain alternate reading frame protein (TARP) is over-expressed in de novo pediatric (n=13) and adult (n=17) AML sorted leukemic stem cells and blasts compared to hematopoietic stem cells and normal myeloblasts (15 healthy controls). Moreover, TARP expression was significantly associated with a fms-like tyrosine kinase receptor-3 internal tandem duplication in pediatric AML. TARP overexpression was confirmed in AML cell lines (n=9), and was found to be absent in B-cell acute lymphocytic leukemia (n=5) and chronic myeloid leukemia (n=1). Sequencing revealed that both a classical TARP transcript, as described in breast and prostate adenocarcinoma, and an AML-specific alternative TARP transcript, were present. Protein expression levels mostly matched transcript levels. TARP was shown to reside in the cytoplasmic compartment and showed sporadic endoplasmic reticulum co-localization. TARP-T-cell receptor engineered cytotoxic T-cells in vitro killed AML cell lines and patient leukemic cells co-expressing TARP and HLA-A*0201. In conclusion, TARP qualifies as a relevant target for immunotherapeutic T-cell therapy in AML.
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Affiliation(s)
- Barbara Depreter
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
| | - Karin E Weening
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Karl Vandepoele
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Magnus Essand
- Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Barbara De Moerloose
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Maria Themeli
- Department of Hematology, VU University Medical Center, Amsterdam, the Netherlands
| | - Jacqueline Cloos
- Department of Hematology, VU University Medical Center, Amsterdam, the Netherlands
| | - Diana Hanekamp
- Department of Hematology, VU University Medical Center, Amsterdam, the Netherlands
| | - Ine Moors
- Department of Hematology, Ghent University Hospital, Ghent, Belgium
| | - Inge D'hont
- Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Barbara Denys
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Anne Uyttebroeck
- Department of Pediatrics, University Hospital Gasthuisberg, Louvain, Belgium
| | - An Van Damme
- Department of Pediatric Hematology Oncology, University Hospital Saint-Luc, Brussels, Belgium
| | - Laurence Dedeken
- Department of Pediatric Hematology Oncology, Queen Fabiola Children's University Hospital, Brussels, Belgium
| | - Sylvia Snauwaert
- Department of Hematology, AZ Sint-Jan Hospital Bruges, Bruges, Belgium
| | - Glenn Goetgeluk
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Stijn De Munter
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Tessa Kerre
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Hematology, Ghent University Hospital, Ghent, Belgium
| | - Bart Vandekerckhove
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Tim Lammens
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium .,Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
| | - Jan Philippé
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
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Martin GH, Roy N, Chakraborty S, Desrichard A, Chung SS, Woolthuis CM, Hu W, Berezniuk I, Garrett-Bakelman FE, Hamann J, Devlin SM, Chan TA, Park CY. CD97 is a critical regulator of acute myeloid leukemia stem cell function. J Exp Med 2019; 216:2362-2377. [PMID: 31371381 PMCID: PMC6781010 DOI: 10.1084/jem.20190598] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/20/2019] [Accepted: 06/27/2019] [Indexed: 12/15/2022] Open
Abstract
Despite significant efforts to improve therapies for acute myeloid leukemia (AML), clinical outcomes remain poor. Understanding the mechanisms that regulate the development and maintenance of leukemic stem cells (LSCs) is important to reveal new therapeutic opportunities. We have identified CD97, a member of the adhesion class of G protein-coupled receptors (GPCRs), as a frequently up-regulated antigen on AML blasts that is a critical regulator of blast function. High levels of CD97 correlate with poor prognosis, and silencing of CD97 reduces disease aggressiveness in vivo. These phenotypes are due to CD97's ability to promote proliferation, survival, and the maintenance of the undifferentiated state in leukemic blasts. Collectively, our data credential CD97 as a promising therapeutic target on LSCs in AML.
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Affiliation(s)
- Gaëlle H Martin
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY.,Department of Pathology, New York University School of Medicine, New York, NY
| | - Nainita Roy
- Department of Pathology, New York University School of Medicine, New York, NY
| | - Sohini Chakraborty
- Department of Pathology, New York University School of Medicine, New York, NY
| | - Alexis Desrichard
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Stephen S Chung
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY.,Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Carolien M Woolthuis
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Wenhuo Hu
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Iryna Berezniuk
- Department of Pathology, New York University School of Medicine, New York, NY
| | - 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.,Department of Medicine, Division of Hematology/Oncology, Weill Cornell Medicine, New York, NY
| | - Jörg Hamann
- Department of Experimental Immunology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Sean M Devlin
- Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Timothy A Chan
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY.,Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Christopher Y Park
- Department of Pathology, New York University School of Medicine, New York, NY
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38
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Vaikari VP, Yang J, Wu S, Alachkar H. CD97 expression is associated with poor overall survival in acute myeloid leukemia. Exp Hematol 2019; 75:64-73.e4. [PMID: 31260716 DOI: 10.1016/j.exphem.2019.06.474] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 06/21/2019] [Accepted: 06/27/2019] [Indexed: 01/16/2023]
Abstract
CD97, a member of the adhesion G-protein coupled receptor family, is normally expressed on leukocytes and smooth muscles. CD97 is also expressed in a variety of solid cancers, particularly those with aggressive metastatic phenotypes. Here we characterize the clinical significance of CD97 in acute myeloid leukemia (AML). We analyzed 173 patients from the TCGA AML data set and found that CD97 was higher in cytogenetically normal patients compared with cytogenetically abnormal patients (p = 0.023). High CD97 was also associated with NPM1 mutations (p = 0.0033). Patients with high CD97 expression had shorter overall (median: 7.35 months vs. 24.1 months, p = 0.0015) and disease-free (median DFS: 8.2 months vs. 18.2 months, p = 0.017) survival. Importantly, we identified pathways involved in the leukemia stem cell interaction with the bone marrow niche, such as integrin, CXCR4, and interleukin-8, among the most upregulated signaling pathways in patients with high CD97 expression. Our results suggest that high CD97 expression is associated with poor clinical outcome and indicate a need for future functional and mechanistic studies to investigate the role of CD97 in AML.
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Affiliation(s)
| | - Jiawen Yang
- School of Pharmacy, University of Southern California, Los Angeles, California
| | - Sharon Wu
- School of Pharmacy, University of Southern California, Los Angeles, California
| | - Houda Alachkar
- School of Pharmacy, University of Southern California, Los Angeles, California; USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.
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39
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Abstract
Chronic myeloid leukemia (CML) is caused by BCRABL1 in a cell with the biological potential, intrinsic or acquired, to cause leukemia. This cell is commonly termed the CML leukemia stem cell (LSC). In humans a CML LSC is operationally-defined by ≥1 in vitro or in vivo assays of human leukemia cells transferred to immune-deficient mice. Results of these assays are sometimes discordant. There is also the unproved assumption that biological features of a CML LSC are stable. These considerations make accurate and precise identification of a CML LSC difficult or impossible. In this review, we consider biological features of CML LSCs defined by these assays. We also consider whether CML LSCs are susceptible to targeting by tyrosine kinase inhibitors (TKIs) and other drugs, and whether elimination of CML LSCs is needed to achieve therapy-free remission or cure CML.
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40
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Kleo K, Dimitrova L, Oker E, Tomaszewski N, Berg E, Taruttis F, Engelmann JC, Schwarzfischer P, Reinders J, Spang R, Gronwald W, Oefner PJ, Hummel M. Identification of ADGRE5 as discriminating MYC target between Burkitt lymphoma and diffuse large B-cell lymphoma. BMC Cancer 2019; 19:322. [PMID: 30953469 PMCID: PMC6451309 DOI: 10.1186/s12885-019-5537-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 03/27/2019] [Indexed: 12/27/2022] Open
Abstract
Background MYC is a heterogeneously expressed transcription factor that plays a multifunctional role in many biological processes such as cell proliferation and differentiation. It is also associated with many types of cancer including the malignant lymphomas. There are two types of aggressive B-cell lymphoma, namely Burkitt lymphoma (BL) and a subgroup of diffuse large cell lymphoma (DLBCL), which both carry MYC translocations and overexpress MYC but both differ significantly in their clinical outcome. In DLBCL, MYC translocations are associated with an aggressive behavior and poor outcome, whereas MYC-positive BL show a superior outcome. Methods To shed light on this phenomenon, we investigated the different modes of actions of MYC in aggressive B-cell lymphoma cell lines subdivided into three groups: (i) MYC-positive BL, (ii) DLBCL with MYC translocation (DLBCLpos) and (iii) DLBCL without MYC translocation (DLBCLneg) for control. In order to identify genome-wide MYC-DNA binding sites a chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-Seq) was performed. In addition, ChIP-Seq for H3K4me3 was used for determination of genomic regions accessible for transcriptional activity. These data were supplemented with gene expression data derived from RNA-Seq. Results Bioinformatics integration of all data sets revealed different MYC-binding patterns and transcriptional profiles in MYC-positive BL and DLBCL cell lines indicating different functional roles of MYC for gene regulation in aggressive B-cell lymphomas. Based on this multi-omics analysis we identified ADGRE5 (alias CD97) - a member of the EGF-TM7 subfamily of adhesion G protein-coupled receptors - as a MYC target gene, which is specifically expressed in BL but not in DLBCL regardless of MYC translocation. Conclusion Our study describes a diverse genome-wide MYC-DNA binding pattern in BL and DLBCL cell lines with and without MYC translocations. Furthermore, we identified ADREG5 as a MYC target gene able to discriminate between BL and DLBCL irrespectively of the presence of MYC breaks in DLBCL. Since ADGRE5 plays an important role in tumor cell formation, metastasis and invasion, it might also be instrumental to better understand the different pathobiology of BL and DLBCL and help to explain discrepant clinical characteristics of BL and DLBCL. Electronic supplementary material The online version of this article (10.1186/s12885-019-5537-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Karsten Kleo
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, D-10117, Berlin, Germany.
| | - Lora Dimitrova
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, D-10117, Berlin, Germany
| | - Elisabeth Oker
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, D-10117, Berlin, Germany
| | - Nancy Tomaszewski
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, D-10117, Berlin, Germany
| | - Erika Berg
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, D-10117, Berlin, Germany
| | - Franziska Taruttis
- Statistical Bioinformatics, Institute of Functional Genomics, University of Regensburg, D-93053, Regensburg, Germany
| | - Julia C Engelmann
- Statistical Bioinformatics, Institute of Functional Genomics, University of Regensburg, D-93053, Regensburg, Germany.,Present address: Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherlands Institute for Sea Research, 1790, AB, Den Burg, The Netherlands
| | - Philipp Schwarzfischer
- Functional Genomics, Institute of Functional Genomics, University of Regensburg, D-93053, Regensburg, Germany
| | - Jörg Reinders
- Functional Genomics, Institute of Functional Genomics, University of Regensburg, D-93053, Regensburg, Germany
| | - Rainer Spang
- Statistical Bioinformatics, Institute of Functional Genomics, University of Regensburg, D-93053, Regensburg, Germany
| | - Wolfram Gronwald
- Functional Genomics, Institute of Functional Genomics, University of Regensburg, D-93053, Regensburg, Germany
| | - Peter J Oefner
- Functional Genomics, Institute of Functional Genomics, University of Regensburg, D-93053, Regensburg, Germany
| | - Michael Hummel
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, D-10117, Berlin, Germany
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41
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Leukemia Stem Cells in the Pathogenesis, Progression, and Treatment of Acute Myeloid Leukemia. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1143:95-128. [DOI: 10.1007/978-981-13-7342-8_5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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42
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de Boer B, Prick J, Pruis MG, Keane P, Imperato MR, Jaques J, Brouwers-Vos AZ, Hogeling SM, Woolthuis CM, Nijk MT, Diepstra A, Wandinger S, Versele M, Attar RM, Cockerill PN, Huls G, Vellenga E, Mulder AB, Bonifer C, Schuringa JJ. Prospective Isolation and Characterization of Genetically and Functionally Distinct AML Subclones. Cancer Cell 2018; 34:674-689.e8. [PMID: 30245083 DOI: 10.1016/j.ccell.2018.08.014] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 06/28/2018] [Accepted: 08/21/2018] [Indexed: 12/18/2022]
Abstract
Intra-tumor heterogeneity caused by clonal evolution is a major problem in cancer treatment. To address this problem, we performed label-free quantitative proteomics on primary acute myeloid leukemia (AML) samples. We identified 50 leukemia-enriched plasma membrane proteins enabling the prospective isolation of genetically distinct subclones from individual AML patients. Subclones differed in their regulatory phenotype, drug sensitivity, growth, and engraftment behavior, as determined by RNA sequencing, DNase I hypersensitive site mapping, transcription factor occupancy analysis, in vitro culture, and xenograft transplantation. Finally, we show that these markers can be used to identify and longitudinally track distinct leukemic clones in patients in routine diagnostics. Our study describes a strategy for a major improvement in stratifying cancer diagnosis and treatment.
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Affiliation(s)
- Bauke de Boer
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Janine Prick
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Maurien G Pruis
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Peter Keane
- Institute for Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, B15 2TT Birmingham, UK
| | - Maria Rosaria Imperato
- Institute for Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, B15 2TT Birmingham, UK
| | - Jennifer Jaques
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Annet Z Brouwers-Vos
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Shanna M Hogeling
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Carolien M Woolthuis
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Marije T Nijk
- Department of Laboratory Medicine, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands
| | | | - Matthias Versele
- Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium
| | - Ricardo M Attar
- Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium
| | - Peter N Cockerill
- Institute for Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, B15 2TT Birmingham, UK
| | - Gerwin Huls
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Edo Vellenga
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - André B Mulder
- Department of Laboratory Medicine, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands
| | - Constanze Bonifer
- Institute for Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, B15 2TT Birmingham, UK
| | - Jan Jacob Schuringa
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands.
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Zhang Z, Zhao L, Wei X, Guo Q, Zhu X, Wei R, Yin X, Zhang Y, Wang B, Li X. Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML. Oncol Lett 2018; 16:5147-5159. [PMID: 30214614 PMCID: PMC6126153 DOI: 10.3892/ol.2018.9237] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 06/20/2018] [Indexed: 12/19/2022] Open
Abstract
Myeloid disorders, especially myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML), cause significant mobility and high mortality worldwide. Despite numerous attempts, the common molecular events underlying the development of MDS and AML remain to be established. In the present study, 18 microarray datasets were selected, and a meta-analysis was conducted to identify shared gene signatures and biological processes between MDS and AML. Using NetworkAnalyst, 191 upregulated and 139 downregulated genes were identified in MDS and AML, among which, PTH2R, TEC, and GPX1 were the most upregulated genes, while MME, RAG1, and CD79B were mostly downregulated. Comprehensive functional enrichment analyses revealed oncogenic signaling related pathway, fibroblast growth factor receptor (FGFR) and immune response related events, 'interleukine-6/interferon signaling pathway, and B cell receptor signaling pathway', were the most upregulated and downregulated biological processes, respectively. Network based meta-analysis ascertained that HSP90AA1 and CUL1 were the most important hub genes. Interestingly, our study has largely clarified the link between MDS and AML in terms of potential pathways, and genetic markers, which shed light on the molecular mechanisms underlying the development and transition of MDS and AML, and facilitate the understanding of novel diagnostic, therapeutic and prognostic biomarkers.
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Affiliation(s)
- Zhen Zhang
- Laboratory for Molecular Immunology, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
| | - Lin Zhao
- Laboratory for Molecular Immunology, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
| | - Xijin Wei
- Department of Peripheral Vascular Surgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250011, P.R. China
| | - Qiang Guo
- Laboratory for Molecular Immunology, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
| | - Xiaoxiao Zhu
- Laboratory for Molecular Immunology, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
| | - Ran Wei
- Laboratory for Molecular Immunology, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
| | - Xunqiang Yin
- Laboratory for Molecular Immunology, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
- School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
| | - Yunhong Zhang
- Laboratory for Molecular Immunology, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
- School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
| | - Bin Wang
- Department of Peripheral Vascular Surgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250011, P.R. China
| | - Xia Li
- Laboratory for Molecular Immunology, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong 250062, P.R. China
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Boyer T, Gonzales F, Plesa A, Peyrouze P, Barthelemy A, Guihard S, Quesnel B, Roumier C, Preudhomme C, Cheok M. Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up. J Vis Exp 2018. [PMID: 29630051 DOI: 10.3791/56976] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Acute myeloid leukemia (AML) is a heterogeneous, and if not treated, fatal disease. It is the most common cause of leukemia-associated mortality in adults. Initially, AML is a disease of hematopoietic stem cells (HSC) characterized by arrest of differentiation, subsequent accumulation of leukemia blast cells, and reduced production of functional hematopoietic elements. Heterogeneity extends to the presence of leukemia stem cells (LSC), with this dynamic cell compartment evolving to overcome various selection pressures imposed upon during leukemia progression and treatment. To further define the LSC population, the addition of CD90 and CD45RA allows the discrimination of normal HSCs and multipotent progenitors within the CD34+CD38- cell compartment. Here, we outline a protocol to detect simultaneous expression of several putative LSC markers (CD34, CD38, CD45RA, CD90) on primary blast cells of human AML by multiparametric flow cytometry. Furthermore, we show how to quantify three progenitor populations and a putative LSC population with increasing degree of maturation. We confirmed the presence of these populations in corresponding patient-derived-xenografts. This method of detection and quantification of putative LSC may be used for clinical follow-up of chemotherapy response (i.e., minimal residual disease), as residual LSC may cause AML relapse.
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Affiliation(s)
- Thomas Boyer
- Laboratoire d'hématologie, CHU Lille; Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer
| | - Fanny Gonzales
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer; Service d'hématologie pédiatrique, hôpital Jeanne de Flandre, CHU Lille
| | | | - Pauline Peyrouze
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer
| | - Adeline Barthelemy
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer
| | - Soizic Guihard
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer
| | - Bruno Quesnel
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer; Service des Maladies du Sang, hôpital Claude Huriez, CHU Lille
| | - Christophe Roumier
- Laboratoire d'hématologie, CHU Lille; Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer
| | - Claude Preudhomme
- Laboratoire d'hématologie, CHU Lille; Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer
| | - Meyling Cheok
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer;
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45
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Pilot Study on Mass Spectrometry-Based Analysis of the Proteome of CD34⁺CD123⁺ Progenitor Cells for the Identification of Potential Targets for Immunotherapy in Acute Myeloid Leukemia. Proteomes 2018; 6:proteomes6010011. [PMID: 29439554 PMCID: PMC5874770 DOI: 10.3390/proteomes6010011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 02/03/2018] [Accepted: 02/08/2018] [Indexed: 12/17/2022] Open
Abstract
Targeting of leukemic stem cells with specific immunotherapy would be an ideal approach for the treatment of myeloid malignancies, but suitable epitopes are unknown. The comparative proteome-level characterization of hematopoietic stem and progenitor cells from healthy stem cell donors and patients with acute myeloid leukemia has the potential to reveal differentially expressed proteins which can be used as surface-markers or as proxies for affected molecular pathways. We employed mass spectrometry methods to analyze the proteome of the cytosolic and the membrane fraction of CD34 and CD123 co-expressing FACS-sorted leukemic progenitors from five patients with acute myeloid leukemia. As a reference, CD34+CD123+ normal hematopoietic progenitor cells from five healthy, granulocyte-colony stimulating factor (G-CSF) mobilized stem cell donors were analyzed. In this Tandem Mass Tag (TMT) 10-plex labelling–based approach, 2070 proteins were identified with 171 proteins differentially abundant in one or both cellular compartments. This proof-of-principle-study demonstrates the potential of mass spectrometry to detect differentially expressed proteins in two compartment fractions of the entire proteome of leukemic stem cells, compared to their non-malignant counterparts. This may contribute to future immunotherapeutic target discoveries and individualized AML patient characterization.
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Mallik S, Zhao Z. Towards integrated oncogenic marker recognition through mutual information-based statistically significant feature extraction: an association rule mining based study on cancer expression and methylation profiles. QUANTITATIVE BIOLOGY 2017; 5:302-327. [PMID: 30221015 DOI: 10.1007/s40484-017-0119-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Background Marker detection is an important task in complex disease studies. Here we provide an association rule mining (ARM) based approach for identifying integrated markers through mutual information (MI) based statistically significant feature extraction, and apply it to acute myeloid leukemia (AML) and prostate carcinoma (PC) gene expression and methylation profiles. Methods We first collect the genes having both expression and methylation values in AML as well as PC. Next, we run Jarque-Bera normality test on the expression/methylation data to divide the whole dataset into two parts: one that ollows normal distribution and the other that does not follow normal distribution. Thus, we have now four parts of the dataset: normally distributed expression data, normally distributed methylation data, non-normally distributed expression data, and non-normally distributed methylated data. A feature-extraction technique, "mRMR" is then utilized on each part. This results in a list of top-ranked genes. Next, we apply Welch t-test (parametric test) and Shrink t-test (non-parametric test) on the expression/methylation data for the top selected normally distributed genes and non-normally distributed genes, respectively. We then use a recent weighted ARM method, "RANWAR" to combine all/specific resultant genes to generate top oncogenic rules along with respective integrated markers. Finally, we perform literature search as well as KEGG pathway and Gene-Ontology (GO) analyses using Enrichr database for in silico validation of the prioritized oncogenes as the markers and labeling the markers as existing or novel. Results The novel markers of AML are {ABCB11↑∪KRT17↓} (i.e., ABCB11 as up-regulated, & KRT17 as down-regulated), and {AP1S1-∪KRT17↓∪NEIL2-∪DYDC1↓}) (i.e., AP1S1 and NEIL2 both as hypo-methylated, & KRT17 and DYDC1 both as down-regulated). The novel marker of PC is {UBIAD1¶∪APBA2‡∪C4orf31‡} (i.e., UBIAD1 as up-regulated and hypo-methylated, & APBA2 and C4orf31 both as down-regulated and hyper-methylated). Conclusion The identified novel markers might have critical roles in AML as well as PC. The approach can be applied to other complex disease.
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Affiliation(s)
- Saurav Mallik
- Computer Science & Engineering, Aliah University, Newtown, Newtown 700156, India
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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Combining membrane proteomics and computational three-way pathway analysis revealed signalling pathways preferentially regulated in human iPSCs and human ESCs. Sci Rep 2017; 7:15055. [PMID: 29118436 PMCID: PMC5678157 DOI: 10.1038/s41598-017-15347-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 10/25/2017] [Indexed: 12/18/2022] Open
Abstract
Owing to the clinical potential of human induced pluripotent stem cells (hiPSCs) in regenerative medicine, a thorough examination of the similarities and differences between hiPSCs and human embryonic stem cells (hESCs) has become indispensable. Moreover, as the important roles of membrane proteins in biological signalling, functional analyses of membrane proteome are therefore promising. In this study, a pathway analysis by the bioinformatics tool GSEA was first performed to identify significant pathways associated with the three comparative membrane proteomics experiments: hiPSCs versus precursor human foreskin fibroblasts (HFF), hESCs versus precursor HFF, and hiPSCs versus hESCs. A following three-way pathway comparison was conducted to identify the differentially regulated pathways that may contribute to the differences between hiPSCs and hESCs. Our results revealed that pathways related to oxidative phosphorylation and focal adhesion may undergo incomplete regulations during the reprogramming process. This hypothesis was supported by another public proteomics dataset to a certain degree. The identified pathways and their core enriched proteins could serve as the starting point to explore the possible ways to make hiPSCs closer to hESCs.
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48
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Ly T, Whigham A, Clarke R, Brenes-Murillo AJ, Estes B, Madhessian D, Lundberg E, Wadsworth P, Lamond AI. Proteomic analysis of cell cycle progression in asynchronous cultures, including mitotic subphases, using PRIMMUS. eLife 2017; 6:e27574. [PMID: 29052541 PMCID: PMC5650473 DOI: 10.7554/elife.27574] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 10/06/2017] [Indexed: 12/22/2022] Open
Abstract
The temporal regulation of protein abundance and post-translational modifications is a key feature of cell division. Recently, we analysed gene expression and protein abundance changes during interphase under minimally perturbed conditions (Ly et al., 2014, 2015). Here, we show that by using specific intracellular immunolabelling protocols, FACS separation of interphase and mitotic cells, including mitotic subphases, can be combined with proteomic analysis by mass spectrometry. Using this PRIMMUS (PRoteomic analysis of Intracellular iMMUnolabelled cell Subsets) approach, we now compare protein abundance and phosphorylation changes in interphase and mitotic fractions from asynchronously growing human cells. We identify a set of 115 phosphorylation sites increased during G2, termed 'early risers'. This set includes phosphorylation of S738 on TPX2, which we show is important for TPX2 function and mitotic progression. Further, we use PRIMMUS to provide the first a proteome-wide analysis of protein abundance remodeling between prophase, prometaphase and anaphase.
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Affiliation(s)
- Tony Ly
- Centre for Gene Regulation and Expression, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
- Wellcome Centre for Cell BiologyUniversity of EdinburghEdinburghUnited Kingdom
| | - Arlene Whigham
- CAST Flow Cytometry Facility, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
| | - Rosemary Clarke
- CAST Flow Cytometry Facility, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
| | - Alejandro J Brenes-Murillo
- Centre for Gene Regulation and Expression, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
| | - Brett Estes
- Department of BiologyUniversity of MassachusettsMassachusettsUnited States
- Program in Molecular and Cellular BiologyUniversity of MassachusettsMassachusettsUnited States
| | - Diana Madhessian
- Science for Life LaboratoryRoyal Institute of TechnologyStockholmSweden
| | - Emma Lundberg
- Science for Life LaboratoryRoyal Institute of TechnologyStockholmSweden
| | - Patricia Wadsworth
- Department of BiologyUniversity of MassachusettsMassachusettsUnited States
- Program in Molecular and Cellular BiologyUniversity of MassachusettsMassachusettsUnited States
| | - Angus I Lamond
- Centre for Gene Regulation and Expression, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
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49
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Hernandez-Valladares M, Vaudel M, Selheim F, Berven F, Bruserud Ø. Proteogenomics approaches for studying cancer biology and their potential in the identification of acute myeloid leukemia biomarkers. Expert Rev Proteomics 2017; 14:649-663. [DOI: 10.1080/14789450.2017.1352474] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Maria Hernandez-Valladares
- Department of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
- Proteomics Unit, Department of Biomedicine, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
| | - Marc Vaudel
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Frode Selheim
- Proteomics Unit, Department of Biomedicine, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
| | - Frode Berven
- Proteomics Unit, Department of Biomedicine, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
| | - Øystein Bruserud
- Department of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
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50
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An atlas of bloodstream-accessible bone marrow proteins for site-directed therapy of acute myeloid leukemia. Leukemia 2017; 32:510-519. [DOI: 10.1038/leu.2017.208] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 06/01/2017] [Accepted: 06/20/2017] [Indexed: 12/15/2022]
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