1
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Malone CF, Mabe NW, Forman AB, Alexe G, Engel KL, Chen YJC, Soeung M, Salhotra S, Basanthakumar A, Liu B, Dent SYR, Stegmaier K. The KAT module of the SAGA complex maintains the oncogenic gene expression program in MYCN-amplified neuroblastoma. SCIENCE ADVANCES 2024; 10:eadm9449. [PMID: 38820154 PMCID: PMC11141635 DOI: 10.1126/sciadv.adm9449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 04/29/2024] [Indexed: 06/02/2024]
Abstract
Pediatric cancers are frequently driven by genomic alterations that result in aberrant transcription factor activity. Here, we used functional genomic screens to identify multiple genes within the transcriptional coactivator Spt-Ada-Gcn5-acetyltransferase (SAGA) complex as selective dependencies for MYCN-amplified neuroblastoma, a disease of dysregulated development driven by an aberrant oncogenic transcriptional program. We characterized the DNA recruitment sites of the SAGA complex in neuroblastoma and the consequences of loss of SAGA complex lysine acetyltransferase (KAT) activity on histone acetylation and gene expression. We demonstrate that loss of SAGA complex KAT activity is associated with reduced MYCN binding on chromatin, suppression of MYC/MYCN gene expression programs, and impaired cell cycle progression. Further, we showed that the SAGA complex is pharmacologically targetable in vitro and in vivo with a KAT2A/KAT2B proteolysis targeting chimeric. Our findings expand our understanding of the histone-modifying complexes that maintain the oncogenic transcriptional state in this disease and suggest therapeutic potential for inhibitors of SAGA KAT activity in MYCN-amplified neuroblastoma.
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Affiliation(s)
- Clare F. Malone
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Nathaniel W. Mabe
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Alexandra B. Forman
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gabriela Alexe
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kathleen L. Engel
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ying-Jiun C. Chen
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Melinda Soeung
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Silvi Salhotra
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Allen Basanthakumar
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Bin Liu
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sharon Y. R. Dent
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kimberly Stegmaier
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children’s Hospital, Boston, MA, USA
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2
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Adnan Awad S, Dufva O, Klievink J, Karjalainen E, Ianevski A, Pietarinen P, Kim D, Potdar S, Wolf M, Lotfi K, Aittokallio T, Wennerberg K, Porkka K, Mustjoki S. Integrated drug profiling and CRISPR screening identify BCR::ABL1-independent vulnerabilities in chronic myeloid leukemia. Cell Rep Med 2024; 5:101521. [PMID: 38653245 PMCID: PMC11148568 DOI: 10.1016/j.xcrm.2024.101521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/10/2024] [Accepted: 03/27/2024] [Indexed: 04/25/2024]
Abstract
BCR::ABL1-independent pathways contribute to primary resistance to tyrosine kinase inhibitor (TKI) treatment in chronic myeloid leukemia (CML) and play a role in leukemic stem cell persistence. Here, we perform ex vivo drug screening of CML CD34+ leukemic stem/progenitor cells using 100 single drugs and TKI-drug combinations and identify sensitivities to Wee1, MDM2, and BCL2 inhibitors. These agents effectively inhibit primitive CD34+CD38- CML cells and demonstrate potent synergies when combined with TKIs. Flow-cytometry-based drug screening identifies mepacrine to induce differentiation of CD34+CD38- cells. We employ genome-wide CRISPR-Cas9 screening for six drugs, and mediator complex, apoptosis, and erythroid-lineage-related genes are identified as key resistance hits for TKIs, whereas the Wee1 inhibitor AZD1775 and mepacrine exhibit distinct resistance profiles. KCTD5, a consistent TKI-resistance-conferring gene, is found to mediate TKI-induced BCR::ABL1 ubiquitination. In summary, we delineate potential mechanisms for primary TKI resistance and non-BCR::ABL1-targeting drugs, offering insights for optimizing CML treatment.
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MESH Headings
- Humans
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/pathology
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/metabolism
- Fusion Proteins, bcr-abl/genetics
- Fusion Proteins, bcr-abl/metabolism
- Fusion Proteins, bcr-abl/antagonists & inhibitors
- Protein Kinase Inhibitors/pharmacology
- CRISPR-Cas Systems/genetics
- Drug Resistance, Neoplasm/genetics
- Drug Resistance, Neoplasm/drug effects
- Proto-Oncogene Proteins c-abl/metabolism
- Proto-Oncogene Proteins c-abl/genetics
- Proto-Oncogene Proteins c-abl/antagonists & inhibitors
- Cell Line, Tumor
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Affiliation(s)
- Shady Adnan Awad
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; Foundation for the Finnish Cancer Institute, 00290 Helsinki, Finland; Clinical Pathology Department, National Cancer Institute, Cairo University, 11796 Cairo, Egypt.
| | - Olli Dufva
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00014 Helsinki, Finland
| | - Jay Klievink
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland
| | - Ella Karjalainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Science, University of Helsinki, 00014 Helsinki, Finland
| | - Aleksandr Ianevski
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Science, University of Helsinki, 00014 Helsinki, Finland
| | - Paavo Pietarinen
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland
| | - Daehong Kim
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland
| | - Swapnil Potdar
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Science, University of Helsinki, 00014 Helsinki, Finland
| | - Maija Wolf
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Science, University of Helsinki, 00014 Helsinki, Finland
| | - Kourosh Lotfi
- Department of Medical and Health Sciences, Faculty of Medicine and Health, Linköping University, 58183 Linköping, Sweden
| | - Tero Aittokallio
- Foundation for the Finnish Cancer Institute, 00290 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00014 Helsinki, Finland; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Science, University of Helsinki, 00014 Helsinki, Finland; Institute for Cancer Research, Oslo University Hospital, 0424 Oslo, Norway; Oslo Centre for Biostatistics and Epidemiology, University of Oslo, 0317 Oslo, Norway
| | - Krister Wennerberg
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute for Life Science, University of Helsinki, 00014 Helsinki, Finland; Biotech Research & Innovation Centre and Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kimmo Porkka
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00014 Helsinki, Finland
| | - Satu Mustjoki
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland; Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, 00014 Helsinki, Finland.
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3
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Pina C. Contributions of transcriptional noise to leukaemia evolution: KAT2A as a case-study. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230052. [PMID: 38432321 PMCID: PMC10909511 DOI: 10.1098/rstb.2023.0052] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/04/2023] [Indexed: 03/05/2024] Open
Abstract
Transcriptional noise is proposed to participate in cell fate changes, but contributions to mammalian cell differentiation systems, including cancer, remain associative. Cancer evolution is driven by genetic variability, with modulatory or contributory participation of epigenetic variants. Accumulation of epigenetic variants enhances transcriptional noise, which can facilitate cancer cell fate transitions. Acute myeloid leukaemia (AML) is an aggressive cancer with strong epigenetic dependencies, characterized by blocked differentiation. It constitutes an attractive model to probe links between transcriptional noise and malignant cell fate regulation. Gcn5/KAT2A is a classical epigenetic transcriptional noise regulator. Its loss increases transcriptional noise and modifies cell fates in stem and AML cells. By reviewing the analysis of KAT2A-depleted pre-leukaemia and leukaemia models, I discuss that the net result of transcriptional noise is diversification of cell fates secondary to alternative transcriptional programmes. Cellular diversification can enable or hinder AML progression, respectively, by differentiation of cell types responsive to mutations, or by maladaptation of leukaemia stem cells. KAT2A-dependent noise-responsive genes participate in ribosome biogenesis and KAT2A loss destabilizes translational activity. I discuss putative contributions of perturbed translation to AML biology, and propose KAT2A loss as a model for mechanistic integration of transcriptional and translational control of noise and fate decisions. This article is part of a discussion meeting issue 'Causes and consequences of stochastic processes in development and disease'.
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Affiliation(s)
- Cristina Pina
- College of Health, Medicine and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, London, UB8 3PH, United Kingdom
- CenGEM – Centre for Genome Engineering and Maintenance, Brunel University London, Kingston Lane, Uxbridge, London, UB8 3PH, United Kingdom
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4
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Chen YJC, Bhaskara GB, Lu Y, Lin K, Dent SYR. The SAGA acetyltransferase module is required for the maintenance of MAF and MYC oncogenic gene expression programs in multiple myeloma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.26.586811. [PMID: 38585845 PMCID: PMC10996596 DOI: 10.1101/2024.03.26.586811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Despite recent advances in therapeutic treatments, multiple myeloma (MM) remains an incurable malignancy. Epigenetic factors contribute to the initiation, progression, relapse, and clonal heterogeneity in MM, but our knowledge on epigenetic mechanisms underlying MM development is far from complete. The SAGA complex serves as a coactivator in transcription and catalyzes acetylation and deubiquitylation. Analyses of datasets in the Cancer Dependency Map Project revealed many SAGA components are selective dependencies in MM. To define SAGA-specific functions, we focused on ADA2B, the only subunit in the lysine acetyltransferase (KAT) module that specifically functions in SAGA. Integration of RNA-seq, ATAC-seq, and CUT&RUN results identified pathways directly regulated by ADA2B include MTORC1 signaling, MYC, E2F, and MM-specific MAF oncogenic programs. We discovered that ADA2B is recruited to MAF and MYC gene targets, and that MAF shares a majority of its targets with MYC in MM cells. Furthermore, we found the SANT domain of ADA2B is required for interaction with both GCN5 and PCAF acetyltransferases, incorporation into SAGA, and ADA2B protein stability. Our findings uncover previously unknown SAGA KAT module-dependent mechanisms controlling MM cell growth, revealing a vulnerability that might be exploited for future development of MM therapy.
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Affiliation(s)
- Ying-Jiun C. Chen
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Govinal Badiger Bhaskara
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yue Lu
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kevin Lin
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sharon Y. R. Dent
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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5
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Barbosa K, Deshpande A, Perales M, Xiang P, Murad R, Pramod AB, Minkina A, Robertson N, Schischlik F, Lei X, Sun Y, Brown A, Amend D, Jeremias I, Doench JG, Humphries RK, Ruppin E, Shendure J, Mali P, Adams PD, Deshpande AJ. Transcriptional control of leukemogenesis by the chromatin reader SGF29. Blood 2024; 143:697-712. [PMID: 38048593 PMCID: PMC10900139 DOI: 10.1182/blood.2023021234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 12/06/2023] Open
Abstract
ABSTRACT Aberrant expression of stem cell-associated genes is a common feature in acute myeloid leukemia (AML) and is linked to leukemic self-renewal and therapy resistance. Using AF10-rearranged leukemia as a prototypical example of the recurrently activated "stemness" network in AML, we screened for chromatin regulators that sustain its expression. We deployed a CRISPR-Cas9 screen with a bespoke domain-focused library and identified several novel chromatin-modifying complexes as regulators of the TALE domain transcription factor MEIS1, a key leukemia stem cell (LSC)-associated gene. CRISPR droplet sequencing revealed that many of these MEIS1 regulators coordinately controlled the transcription of several AML oncogenes. In particular, we identified a novel role for the Tudor-domain-containing chromatin reader protein SGF29 in the transcription of AML oncogenes. Furthermore, SGF29 deletion impaired leukemogenesis in models representative of multiple AML subtypes in multiple AML subtype models. Our studies reveal a novel role for SGF29 as a nononcogenic dependency in AML and identify the SGF29 Tudor domain as an attractive target for drug discovery.
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Affiliation(s)
- Karina Barbosa
- Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Anagha Deshpande
- Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Marlenne Perales
- Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Ping Xiang
- British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Rabi Murad
- Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Akula Bala Pramod
- Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Anna Minkina
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Neil Robertson
- Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Fiorella Schischlik
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Xue Lei
- Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Younguk Sun
- Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Adam Brown
- Research Unit Apoptosis in Hematopoietic Stem Cells, Helmholtz Center Munich, Munich, Germany
| | - Diana Amend
- Research Unit Apoptosis in Hematopoietic Stem Cells, Helmholtz Center Munich, Munich, Germany
| | - Irmela Jeremias
- Research Unit Apoptosis in Hematopoietic Stem Cells, Helmholtz Center Munich, Munich, Germany
| | | | | | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Prashant Mali
- Department of Bioengineering, University of California, San Diego, San Diego, CA
| | - Peter D. Adams
- Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Aniruddha J. Deshpande
- Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
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6
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Li H, Li C, Yang LZ, Liu J. Integrative analysis of histone acetyltransferase KAT2A in human cancer. Cancer Biomark 2023; 38:443-463. [PMID: 38007639 DOI: 10.3233/cbm-220464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
The high incidence of mutations and the crucial roles of KAT2A in cancer development have received increased attention. Nevertheless, a systematic comparison of the heterogeneity and dynamics across different cancer types has not been conducted. Hence, a deep analysis using public databases was performed to clarify the contributions of KAT2A and its correlation with tumorigenesis. The raw data regarding KAT2A expression in cancer patients and healthy controls were obtained from The Cancer Genome Atlas (TCGA). Sexually dimorphic manner, genomic alterations, and expression pattern of KAT2A, as well as the association of the KAT2A with survival, were retrieved from UALCAN, cBioportal, and TISIDB databases. Additionally, the Protein-Protein Interaction (PPI) analysis was conducted using the STRING database. The human protein atlas was used to obtain the staining results of protein levels in cancer and normal samples. The correlation between KAT2A and its potential target drugs was determined using TISIDB and HISTome2. Compared to the normal tissues, CHOL and TGCT tumors presented significantly high KAT2A expression, which was positively correlated with BLCA, BRCA, CESC, CHOL, COAD, ESCA, HNSC, KICH, KIRP, LIHC, LUAD, LUSC, READ, STAD, and THCA. However, no significant difference was detected between normal and tumor tissues for the sex difference pattern of KAT2A expression. The PPI analysis indicated that TADA3, CCDC101, TRRAP, SUPT3H, MYC, TADA2A, and USP22 levels were positively correlated with KAT2A expression, while TADA2B and ATXN7 were negatively correlated. A positive link of KAT2A with cancer isotypes and significant connections of the KAT2A expression to poor overall and disease-free survival were also observed. Further validation was conducted using immunohistochemistry (IHC) staining, qPCR, and Western blot. Some potential HAT inhibitory drugs of KAT2A were also determined, but more work and clinical trials are required before their application.
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Affiliation(s)
- Hua Li
- Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
- Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Chun Li
- Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
- Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Lu-Zong Yang
- Department of Anesthesia, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Ji Liu
- Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
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7
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Engineered model of t(7;12)(q36;p13) AML recapitulates patient-specific features and gene expression profiles. Oncogenesis 2022; 11:50. [PMID: 36057683 PMCID: PMC9440899 DOI: 10.1038/s41389-022-00426-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/11/2022] [Accepted: 08/15/2022] [Indexed: 12/02/2022] Open
Abstract
Acute myeloid leukaemia carrying the translocation t(7;12)(q36;p13) is an adverse-risk leukaemia uniquely observed in infants. Despite constituting up to 30% of cases in under 2-year-olds, it remains poorly understood. Known molecular features are ectopic overexpression of the MNX1 gene and generation of a fusion transcript in 50% of patients. Lack of research models has hindered understanding of t(7;12) biology, which has historically focused on MNX1 overexpression rather than the cytogenetic entity itself. Here, we employed CRISPR/Cas9 to generate t(7;12) in the human K562 cell line, and in healthy CD34+ haematopoietic progenitors where the translocation was not sustained in long-term cultures or through serial replating. In contrast, in K562 cells, t(7;12) was propagated in self-renewing clonogenic assays, with sustained myeloid bias in colony formation and baseline depletion of erythroid signatures. Nuclear localisation analysis revealed repositioning of the translocated MNX1 locus to the interior of t(7;12)-harbouring K562 nuclei — a known phenomenon in t(7;12) patients which associates with ectopic overexpression of MNX1. Crucially, the K562-t(7;12) model successfully recapitulated the transcriptional landscape of t(7;12) patient leukaemia. In summary, we engineered a clinically-relevant model of t(7;12) acute myeloid leukaemia with the potential to unravel targetable molecular mechanisms of disease.
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8
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Kont A, Mendonça MCP, Cronin MF, Cahill MR, O'Driscoll CM. Co-Formulation of Amphiphilic Cationic and Anionic Cyclodextrins Forming Nanoparticles for siRNA Delivery in the Treatment of Acute Myeloid Leukaemia. Int J Mol Sci 2022; 23:ijms23179791. [PMID: 36077202 PMCID: PMC9456197 DOI: 10.3390/ijms23179791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/23/2022] [Accepted: 08/25/2022] [Indexed: 11/16/2022] Open
Abstract
Non-viral delivery of therapeutic nucleic acids (NA), including siRNA, has potential in the treatment of diseases with high unmet clinical needs such as acute myeloid leukaemia (AML). While cationic biomaterials are frequently used to complex the nucleic acids into nanoparticles, attenuation of charge density is desirable to decrease in vivo toxicity. Here, an anionic amphiphilic CD was synthesised and the structure was confirmed by Fourier-transform infrared spectroscopy (FT-IR), Nuclear Magnetic Resonance (NMR), and high-resolution mass spectrometry (HRMS). A cationic amphiphilic cyclodextrin (CD) was initially used to complex the siRNA and then co-formulated with the anionic amphiphilic CD. Characterisation of the co-formulated NPs indicated a significant reduction in charge from 34 ± 7 mV to 24 ± 6 mV (p < 0.05) and polydispersity index 0.46 ± 0.1 to 0.16 ± 0.04 (p < 0.05), compared to the cationic CD NPs. Size was similar, 161−164 nm, for both formulations. FACS and confocal microscopy, using AML cells (HL-60), indicated a similar level of cellular uptake (60% after 6 h) followed by endosomal escape. The nano co-formulation significantly reduced the charge while maintaining gene silencing (21%). Results indicate that blending of anionic and cationic amphiphilic CDs can produce bespoke NPs with optimised physicochemical properties and potential for enhanced in vivo performance in cancer treatment.
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Affiliation(s)
- Ayse Kont
- Pharmacodelivery Group, School of Pharmacy, University College Cork, T12 YN60 Cork, Ireland
| | - Monique C P Mendonça
- Pharmacodelivery Group, School of Pharmacy, University College Cork, T12 YN60 Cork, Ireland
| | - Michael F Cronin
- Pharmacodelivery Group, School of Pharmacy, University College Cork, T12 YN60 Cork, Ireland
| | - Mary R Cahill
- Department of Haematology and CancerResearch@UCC, Cork University Hospital, University College Cork, T12 XF62 Cork, Ireland
| | - Caitriona M O'Driscoll
- Pharmacodelivery Group, School of Pharmacy, University College Cork, T12 YN60 Cork, Ireland
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9
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Gupta S, Dovey OM, Domingues AF, Cyran OW, Cash CM, Giotopoulos G, Rak J, Cooper J, Gozdecka M, Dijkhuis L, Asby RJ, Al-Jabery N, Hernandez-Hernandez V, Prabakaran S, Huntly BJ, Vassiliou GS, Pina C. Transcriptional variability accelerates preleukemia by cell diversification and perturbation of protein synthesis. SCIENCE ADVANCES 2022; 8:eabn4886. [PMID: 35921412 PMCID: PMC9348803 DOI: 10.1126/sciadv.abn4886] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 06/21/2022] [Indexed: 06/15/2023]
Abstract
Transcriptional variability facilitates stochastic cell diversification and can in turn underpin adaptation to stress or injury. We hypothesize that it may analogously facilitate progression of premalignancy to cancer. To investigate this, we initiated preleukemia in mouse cells with enhanced transcriptional variability due to conditional disruption of the histone lysine acetyltransferase gene Kat2a. By combining single-cell RNA sequencing of preleukemia with functional analysis of transformation, we show that Kat2a loss results in global variegation of cell identity and accumulation of preleukemic cells. Leukemia progression is subsequently facilitated by destabilization of ribosome biogenesis and protein synthesis, which confer a transient transformation advantage. The contribution of transcriptional variability to early cancer evolution reflects a generic role in promoting cell fate transitions, which, in the case of well-adapted malignancies, contrastingly differentiates and depletes cancer stem cells. That is, transcriptional variability confers forward momentum to cell fate systems, with differential multistage impact throughout cancer evolution.
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Affiliation(s)
- Shikha Gupta
- Department of Genetics, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Oliver M. Dovey
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Ana Filipa Domingues
- Department of Haematology, University of Cambridge, Cambridge, UK
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Oliwia W. Cyran
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Caitlin M. Cash
- College of Health, Medicine and Life Sciences - Division of Biosciences, Brunel University London, Uxbridge, UK
| | - George Giotopoulos
- Department of Haematology, University of Cambridge, Cambridge, UK
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Justyna Rak
- Department of Haematology, University of Cambridge, Cambridge, UK
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Jonathan Cooper
- Department of Haematology, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Malgorzata Gozdecka
- Department of Haematology, University of Cambridge, Cambridge, UK
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Liza Dijkhuis
- College of Health, Medicine and Life Sciences - Division of Biosciences, Brunel University London, Uxbridge, UK
| | - Ryan J. Asby
- Department of Haematology, University of Cambridge, Cambridge, UK
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Noor Al-Jabery
- College of Health, Medicine and Life Sciences - Division of Biosciences, Brunel University London, Uxbridge, UK
| | - Victor Hernandez-Hernandez
- College of Health, Medicine and Life Sciences - Division of Biosciences, Brunel University London, Uxbridge, UK
- Centre for Genome Engineering and Maintenance, Brunel University London, Uxbridge, UB8 3PH, UK
| | | | - Brian J. Huntly
- Department of Haematology, University of Cambridge, Cambridge, UK
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - George S. Vassiliou
- Department of Haematology, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Cristina Pina
- College of Health, Medicine and Life Sciences - Division of Biosciences, Brunel University London, Uxbridge, UK
- Centre for Genome Engineering and Maintenance, Brunel University London, Uxbridge, UB8 3PH, UK
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