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Nuno K, Azizi A, Koehnke T, Lareau C, Ediriwickrema A, Corces MR, Satpathy AT, Majeti R. Convergent epigenetic evolution drives relapse in acute myeloid leukemia. eLife 2024; 13:e93019. [PMID: 38647535 PMCID: PMC11034943 DOI: 10.7554/elife.93019] [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: 09/26/2023] [Accepted: 03/26/2024] [Indexed: 04/25/2024] Open
Abstract
Relapse of acute myeloid leukemia (AML) is highly aggressive and often treatment refractory. We analyzed previously published AML relapse cohorts and found that 40% of relapses occur without changes in driver mutations, suggesting that non-genetic mechanisms drive relapse in a large proportion of cases. We therefore characterized epigenetic patterns of AML relapse using 26 matched diagnosis-relapse samples with ATAC-seq. This analysis identified a relapse-specific chromatin accessibility signature for mutationally stable AML, suggesting that AML undergoes epigenetic evolution at relapse independent of mutational changes. Analysis of leukemia stem cell (LSC) chromatin changes at relapse indicated that this leukemic compartment underwent significantly less epigenetic evolution than non-LSCs, while epigenetic changes in non-LSCs reflected overall evolution of the bulk leukemia. Finally, we used single-cell ATAC-seq paired with mitochondrial sequencing (mtscATAC) to map clones from diagnosis into relapse along with their epigenetic features. We found that distinct mitochondrially-defined clones exhibit more similar chromatin accessibility at relapse relative to diagnosis, demonstrating convergent epigenetic evolution in relapsed AML. These results demonstrate that epigenetic evolution is a feature of relapsed AML and that convergent epigenetic evolution can occur following treatment with induction chemotherapy.
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Affiliation(s)
- Kevin Nuno
- Cancer Biology Graduate Program, Stanford University School of MedicineStanfordUnited States
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
| | - Armon Azizi
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
- University of California Irvine School of MedicineIrvineUnited States
| | - Thomas Koehnke
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
| | - Caleb Lareau
- Department of Pathology, Stanford UniversityStanfordUnited States
- Program in Immunology, Stanford UniversityStanfordUnited States
| | - Asiri Ediriwickrema
- Cancer Biology Graduate Program, Stanford University School of MedicineStanfordUnited States
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
| | - M Ryan Corces
- Cancer Biology Graduate Program, Stanford University School of MedicineStanfordUnited States
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
- Gladstone Institute of Neurological DiseaseSan FranciscoUnited States
- Gladstone Institute of Data Science and BiotechnologySan FranciscoUnited States
- Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - Ansuman T Satpathy
- Department of Pathology, Stanford UniversityStanfordUnited States
- Program in Immunology, Stanford UniversityStanfordUnited States
- Parker Institute for Cancer Immunotherapy, Stanford UniversityStanfordUnited States
- Gladstone-UCSF Institute of Genomic ImmunologySan FranciscoUnited States
| | - Ravindra Majeti
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
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2
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Che WQ, Wang YJ, Yang L, Wang HQ, Wang XY, Lyu J. Single-cell transcriptome analysis upon ECM-remodeling meningioma cells. Neurosurg Rev 2024; 47:118. [PMID: 38491247 DOI: 10.1007/s10143-024-02349-5] [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: 11/16/2023] [Revised: 12/25/2023] [Accepted: 03/05/2024] [Indexed: 03/18/2024]
Abstract
Meningiomas are the most common tumours that primarily arise in the central nervous system, but their intratumoural heterogeneity has not yet been thoroughly studied. We aimed to investigate the transcriptome characteristics and biological properties of ECM-remodeling meningioma cells. Single-cell RNA sequencing (ScRNA-seq) data from meningioma samples were acquired and used for analyses. We conducted comprehensive bioinformatics analyses, including screening for differentially expressed genes (DEGs), Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway and Gene Ontology (GO) term enrichment analyses, Gene Set Enrichment Analysis (GSEA), protein-protein interaction (PPI) analysis, and copy number variation (CNV) analysis on single-cell sequencing data from meningiomas. Eighteen cell types, including six meningioma subtypes, were identified in the data. ECM-remodeling meningioma cells (MGCs) were mainly distributed in brain-tumour interface tissues. KEGG and GO enrichment analyses revealed that 908 DEGs were mainly related to cell adhesion, extracellular matrix organization, and ECM-receptor interaction. GSEA analysis demonstrated that homophilic cell adhesion via plasma membrane adhesion molecules was significantly enriched (NES = 2.375, P < 0.001). CNV analysis suggested that ECM-remodeling MGCs showed considerably lower average CNV scores. ECM-remodeling MGCs predominantly localized at the brain-tumour interface area and adhere stably to the basement membrane with a lower degree of malignancy. This study provides novel insights into the malignancy of meningiomas.
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Affiliation(s)
- Wen-Qiang Che
- Department of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Neurosurgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yu-Jiao Wang
- Department of Pathology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China
| | - Liu Yang
- Department of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hong-Qin Wang
- Department of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
| | - Xiang-Yu Wang
- Department of Neurosurgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Jun Lyu
- Department of Clinical Research, the First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, 510632, China.
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3
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Nuno KA, Azizi A, Köhnke T, Lareau CA, Ediwirickrema A, Ryan Corces M, Satpathy AT, Majeti R. Convergent Epigenetic Evolution Drives Relapse in Acute Myeloid Leukemia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.10.561642. [PMID: 37873452 PMCID: PMC10592718 DOI: 10.1101/2023.10.10.561642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Relapse of acute myeloid leukemia (AML) is highly aggressive and often treatment refractory. We analyzed previously published AML relapse cohorts and found that 40% of relapses occur without changes in driver mutations, suggesting that non-genetic mechanisms drive relapse in a large proportion of cases. We therefore characterized epigenetic patterns of AML relapse using 26 matched diagnosis-relapse samples with ATAC-seq. This analysis identified a relapse-specific chromatin accessibility signature for mutationally stable AML, suggesting that AML undergoes epigenetic evolution at relapse independent of mutational changes. Analysis of leukemia stem cell (LSC) chromatin changes at relapse indicated that this leukemic compartment underwent significantly less epigenetic evolution than non-LSCs, while epigenetic changes in non-LSCs reflected overall evolution of the bulk leukemia. Finally, we used single-cell ATAC-seq paired with mitochondrial sequencing (mtscATAC) to map clones from diagnosis into relapse along with their epigenetic features. We found that distinct mitochondrially-defined clones exhibit more similar chromatin accessibility at relapse relative to diagnosis, demonstrating convergent epigenetic evolution in relapsed AML. These results demonstrate that epigenetic evolution is a feature of relapsed AML and that convergent epigenetic evolution can occur following treatment with induction chemotherapy.
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Affiliation(s)
- Kevin A Nuno
- Cancer Biology Graduate Program, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
- These authors contributed to this work equally
| | - Armon Azizi
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
- University of California Irvine School of Medicine, Irvine, California
- These authors contributed to this work equally
| | - Thomas Köhnke
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
| | - Caleb A Lareau
- Department of Pathology, Stanford University, Stanford, CA, USA
- Program in Immunology, Stanford University, Stanford, CA, USA
| | - Asiri Ediwirickrema
- Cancer Biology Graduate Program, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
| | - M Ryan Corces
- Cancer Biology Graduate Program, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
- Gladstone Institute of Neurological Disease, San Francisco, California
- Gladstone Institute of Data Science and Biotechnology, San Francisco, California
- Department of Neurology, University of California San Francisco, San Francisco, California
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University, Stanford, CA, USA
- Program in Immunology, Stanford University, Stanford, CA, USA
- Parker Institute for Cancer Immunotherapy, Stanford University, Stanford, CA, USA
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Ravindra Majeti
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
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Sandoval C, Calle Y, Godoy K, Farías J. An Updated Overview of the Role of CYP450 during Xenobiotic Metabolization in Regulating the Acute Myeloid Leukemia Microenvironment. Int J Mol Sci 2023; 24:ijms24076031. [PMID: 37047003 PMCID: PMC10094375 DOI: 10.3390/ijms24076031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/08/2023] [Accepted: 03/16/2023] [Indexed: 04/14/2023] Open
Abstract
Oxidative stress is associated with several acute and chronic disorders, including hematological malignancies such as acute myeloid leukemia, the most prevalent acute leukemia in adults. Xenobiotics are usually harmless compounds that may be detrimental, such as pharmaceuticals, environmental pollutants, cosmetics, and even food additives. The storage of xenobiotics can serve as a defense mechanism or a means of bioaccumulation, leading to adverse effects. During the absorption, metabolism, and cellular excretion of xenobiotics, three steps may be distinguished: (i) inflow by transporter enzymes, (ii) phases I and II, and (iii) phase III. Phase I enzymes, such as those in the cytochrome P450 superfamily, catalyze the conversion of xenobiotics into more polar compounds, contributing to an elevated acute myeloid leukemia risk. Furthermore, genetic polymorphism influences the variability and susceptibility of related myeloid neoplasms, infant leukemias associated with mixed-lineage leukemia (MLL) gene rearrangements, and a subset of de novo acute myeloid leukemia. Recent research has shown a sustained interest in determining the regulators of cytochrome P450, family 2, subfamily E, member 1 (CYP2E1) expression and activity as an emerging field that requires further investigation in acute myeloid leukemia evolution. Therefore, this review suggests that CYP2E1 and its mutations can be a therapeutic or diagnostic target in acute myeloid leukemia.
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Affiliation(s)
- Cristian Sandoval
- Escuela de Tecnología Médica, Facultad de Salud, Universidad Santo Tomás, Los Carreras 753, Osorno 5310431, Chile
- Departamento de Ingeniería Química, Facultad de Ingeniería y Ciencias, Universidad de La Frontera, Temuco 4811230, Chile
- Departamento de Ciencias Preclínicas, Facultad de Medicina, Universidad de La Frontera, Temuco 4811230, Chile
| | - Yolanda Calle
- School of Life and Health Sciences, University of Roehampton, London SW15 4JD, UK
| | - Karina Godoy
- Núcleo Científico y Tecnológico en Biorecursos (BIOREN), Universidad de La Frontera, Temuco 4811230, Chile
| | - Jorge Farías
- Departamento de Ingeniería Química, Facultad de Ingeniería y Ciencias, Universidad de La Frontera, Temuco 4811230, Chile
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Trush VV, Feller C, Li ASM, Allali-Hassani A, Szewczyk MM, Chau I, Eram MS, Jiang B, Luu R, Zhang F, Barsyte-Lovejoy D, Aebersold R, Arrowsmith CH, Vedadi M. Enzymatic nucleosome acetylation selectively affects activity of histone methyltransferases in vitro. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2022; 1865:194845. [PMID: 35907431 DOI: 10.1016/j.bbagrm.2022.194845] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 06/23/2022] [Accepted: 07/11/2022] [Indexed: 06/15/2023]
Abstract
Posttranslational modification of histones plays a critical role in regulation of gene expression. These modifications include methylation and acetylation that work in combination to establish transcriptionally active or repressive chromatin states. Histone methyltransferases (HMTs) often have variable levels of activity in vitro depending on the form of substrate used. For example, certain HMTs prefer nucleosomes extracted from human or chicken cells as substrate compared to recombinant nucleosomes reconstituted from bacterially produced histones. We considered that pre-existing histone modifications in the extracted nucleosomes can affect the efficiency of catalysis by HMTs, suggesting functional cross-talk between histone-modifying enzymes within a complex network of interdependent activities. Here we systematically investigated the effect of nucleosome acetylation by EP300, GCN5L2 (KAT2A) and MYST1 (MOF) on histone 3 lysine 4 (H3K4), H3K9 and H4K20 methylation of nucleosomes by nine HMTs (MLL1, MLL3, SET1B, G9a, SETDB1, SUV39H1, SUV39H2, SUV420H1 and SUV420H2) in vitro. Our full kinetic characterization data indicate that site-specific acetylation of nucleosomal histones by specific acetyltransferases can create nucleosomes that are better substrates for specific HMTs. This includes significant increases in catalytic efficiencies of SETDB1, G9a and SUV420H2 after nucleosome acetylation in vitro.
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Affiliation(s)
- Viacheslav V Trush
- Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Christian Feller
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, HPM H 25, Otto Stern Weg 2, 8093 Zurich, Switzerland
| | - Alice Shi Ming Li
- Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | | | - Magdalena M Szewczyk
- Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Irene Chau
- Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Mohammad S Eram
- Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Boya Jiang
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Raymond Luu
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Fangfei Zhang
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, HPM H 25, Otto Stern Weg 2, 8093 Zurich, Switzerland
| | - Dalia Barsyte-Lovejoy
- Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada; Nature Research Center, Vilnius, Akademijos 2, Lithuania
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, HPM H 25, Otto Stern Weg 2, 8093 Zurich, Switzerland; Faculty of Science, University of Zurich, Zurich, Switzerland
| | - Cheryl H Arrowsmith
- Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada; Princess Margaret Cancer Centre and Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 2M9, Canada
| | - Masoud Vedadi
- Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada.
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6
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Shao R, Wang H, Wang J, Lu S, He R, Lu Y. Comprehensive analysis of a pyroptosis-related gene signature of clinical and biological value in acute myeloid leukaemia. Int Immunopharmacol 2022; 108:108802. [DOI: 10.1016/j.intimp.2022.108802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 03/31/2022] [Accepted: 04/23/2022] [Indexed: 11/05/2022]
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Kuang Y, Peng C, Dong Y, Wang J, Kong F, Yang X, Wang Y, Gao H. NADH dehydrogenase subunit 1/4/5 promotes survival of acute myeloid leukemia by mediating specific oxidative phosphorylation. Mol Med Rep 2022; 25:195. [PMID: 35425997 PMCID: PMC9052001 DOI: 10.3892/mmr.2022.12711] [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: 11/01/2021] [Accepted: 03/16/2022] [Indexed: 11/05/2022] Open
Abstract
Acute myeloid leukemia (AML) is a type of hematological malignancy caused by uncontrolled clonal proliferation of hematopoietic stem cells. The special energy metabolism mode of AML relying on oxidative phosphorylation is different from the traditional ‘Warburg effect’. However, its mechanism is not clear. In the present study, it was demonstrated that the mRNA expression levels of NADH dehydrogenase subunit 1, 4 and 5 (ND1, ND4 and ND5) were upregulated in AML samples from The Cancer Genome Atlas database using the limma package in the R programming language. Reverse transcription-quantitative PCR and ELISA were used to verify the upregulation of ND1, ND4 and ND5 in clinical samples. Pan-cancer analysis revealed that the expression of ND1 was upregulated only in AML, ND2 was upregulated only in AML and thymoma, and ND4 was upregulated only in AML and kidney chromophobe. In the present study, it was demonstrated that silencing of ND1/4/5 could inhibit the proliferation of AML cells in transplanted tumor of nude mice. Additionally, it was found that oxidative phosphorylation and energy metabolism of AML cells were decreased after silencing of ND1/4/5. In conclusion, the present study suggested that ND1/4/5 may be involved in the regulation of oxidative phosphorylation metabolism in AML as a potential cancer-promoting factor.
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Affiliation(s)
- Ye Kuang
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Chuanmei Peng
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Yulin Dong
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Jia Wang
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Fanbin Kong
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Xiaoqing Yang
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Yang Wang
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
| | - Hui Gao
- Department of Medical Laboratory, Yan'An Hospital, Kunming, Yunnan 650000, P.R. China
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Challenges in promoter methylation analysis in the new era of translational oncology: a focus on liquid biopsy. Biochim Biophys Acta Mol Basis Dis 2022; 1868:166390. [PMID: 35296416 DOI: 10.1016/j.bbadis.2022.166390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 02/01/2022] [Accepted: 03/08/2022] [Indexed: 12/20/2022]
Abstract
Toward the discovery of novel reliable biomarkers, epigenetic alterations have been repeatedly proposed for the diagnosis and the development of therapeutic strategies against cancer. Indeed, for promoter methylation to actively become a tumor marker for clinical use, it must be combined with a highly informative technology evaluated in an appropriate biospecimen. Methodological standardization related to epigenetic research is, in fact, one of the most challenging tasks. Moreover, tissue-based biopsy is being complemented and, in some cases, replaced by liquid biopsy. This review will highlight the advancements made for both pre-analytical and analytical implementation for the prospective use of methylation biomarkers in clinical settings, with particular emphasis on liquid biopsy.
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9
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Hu DX, Sun QF, Xu L, Lu HD, Zhang F, Li ZM, Zhang MY. Knockdown of DEAD-box 51 inhibits tumor growth of esophageal squamous cell carcinoma via the PI3K/AKT pathway. World J Gastroenterol 2022; 28:464-478. [PMID: 35125830 PMCID: PMC8790558 DOI: 10.3748/wjg.v28.i4.464] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 11/15/2021] [Accepted: 01/06/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Esophageal squamous cell carcinoma (ESCC) is one of the most prevalent malignancies that seriously threaten people’s health worldwide. DEAD-box helicase 51 (DDX51) is a member of the DEAD-box (DDX) RNA helicase family, and drives or inhibits tumor progression in multiple cancer types.
AIM To determine whether DDX51 affects the biological behavior of ESCC.
METHODS The expression of DDX51 in ESCC tumor tissues and adjacent normal tissues was detected by Immunohistochemistry (IHC) analyses and quantitative PCR (qPCR). We knocked down DDX51 in ESCC cell lines by using a small interfering RNA (siRNA) transfection. The proliferation, apoptosis, and mobility of DDX51 siRNA-transfected cells were detected. The effect of DDX51 on the phosphoinositide 3-kinase (PI3K)/AKT pathway was investigated by western blot analysis. A mouse xenograft model was established to investigate the effects of DDX51 knockdown on ESCC tumor growth.
RESULTS DDX51 exhibited high expression in ESCC tissues compared with normal tissues and represented a poor prognosis in patients with ESCC. Knockdown of DDX51 induced inhibition of ESCC cell proliferation and promoted apoptosis. Moreover, DDX51 siRNA-expressing cells also exhibited lower migration and invasion rates. Investigations into the underlying mechanisms suggested that DDX51 knockdown induced inactivation of the PI3K/AKT pathway, including decreased phosphorylation levels of phosphate and tensin homolog, PI3K, AKT, and mammalian target of rapamycin. Rescue experiments demonstrated that the AKT activator insulin-like growth factor 1 could reverse the inhibitory effects of DDX51 on ESCC malignant development. Finally, we injected DDX51 siRNA-transfected TE-1 cells into an animal model, which resulted in slower tumor growth.
CONCLUSION Our study suggests for the first time that DDX51 promotes cancer cell proliferation by regulating the PI3K/AKT pathway; thus, DDX51 might be a therapeutic target for ESCC.
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Affiliation(s)
- Dong-Xin Hu
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China
| | - Qi-Feng Sun
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China
| | - Lin Xu
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China
| | - Hong-Da Lu
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China
| | - Fan Zhang
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China
| | - Zhen-Miao Li
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China
| | - Ming-Yan Zhang
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China
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10
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Wang B, Guan W, Lv N, Li T, Yu F, Huang Y, Wang Y, Li L, Yu L. Genetic features and efficacy of decitabine-based chemotherapy in elderly patients with acute myeloid leukemia. HEMATOLOGY (AMSTERDAM, NETHERLANDS) 2021; 26:371-379. [PMID: 33971800 DOI: 10.1080/16078454.2021.1921434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVES The outcome of elderly acute myeloid leukemia (AML) patients is poor, which was traditionally attributed to patient- and leukemia-related factors. However, studies about the genetic features of these elderly patients have not been integrated and the genetic mechanism of their poor outcome is less known. METHODS Here, we used next generation sequencing (NGS) to identify the genetic features of elderly AML patients and confirmed the efficacy of chemotherapy based on molecular aberrations. Mutations in 111 genes relevant to hematological malignancy was analysed by virtue of NGS and the genetic differences were compared between elderly (n=52) and young (n=161) AML patients. Furthermore, the outcome of decitabine-based chemotherapy was identified in elderly patients. RESULTS Frequencies of adverse genetic alterations, such as RUNX1 and secondary-type mutations (ASXL1, STAG2 and spliceosome), were much higher in elderly patients, while the frequency of WT1 mutations was much lower. Moreover, epigenetic mutations such as DNMT3A, TET2, ASXL1 and IDH2, were also more common in elderly patients. Furthermore, there were 39 elderly patients receiving the decitabine-based chemotherapy, and the results showed that the overall response rate (ORR) and complete remission rate (CR) were 76.9% and 71.8%, respectively. The median overall survival (OS) for those older patients was 12 months, and the 2-year OS probability was 20.5%. DISCUSSION Our study provides deep understanding into the molecular mechanisms of the poor outcome of elderly AML patients. CONCLUSION Epigenetic mutations play an important role, and decitabine-based regimen can be used as alternative first-line chemotherapy for elderly patients.
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Affiliation(s)
- Bianhong Wang
- Department of Hematology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China.,Department of Hematology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Wei Guan
- Department of Hematology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Na Lv
- Department of Hematology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Ting Li
- Annoroad Gene Technology, Beijing, People's Republic of China
| | - Fan Yu
- Department of Hematology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
| | - Yuehua Huang
- Department of Hematology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
| | - Yanying Wang
- Department of Hematology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
| | - Lihong Li
- Department of Hematology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
| | - Li Yu
- Department of Hematology, Chinese PLA General Hospital, Beijing, People's Republic of China.,Department of Hematology and Oncology, Shenzhen University General Hospital; Shenzhen University International Cancer Center, Shenzhen University Health Science Center, Shenzhen, People's Republic of China
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11
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Ianevski A, Lahtela J, Javarappa KK, Sergeev P, Ghimire BR, Gautam P, Vähä-Koskela M, Turunen L, Linnavirta N, Kuusanmäki H, Kontro M, Porkka K, Heckman CA, Mattila P, Wennerberg K, Giri AK, Aittokallio T. Patient-tailored design for selective co-inhibition of leukemic cell subpopulations. SCIENCE ADVANCES 2021; 7:eabe4038. [PMID: 33608276 PMCID: PMC7895436 DOI: 10.1126/sciadv.abe4038] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 01/08/2021] [Indexed: 06/12/2023]
Abstract
The extensive drug resistance requires rational approaches to design personalized combinatorial treatments that exploit patient-specific therapeutic vulnerabilities to selectively target disease-driving cell subpopulations. To solve the combinatorial explosion challenge, we implemented an effective machine learning approach that prioritizes patient-customized drug combinations with a desired synergy-efficacy-toxicity balance by combining single-cell RNA sequencing with ex vivo single-agent testing in scarce patient-derived primary cells. When applied to two diagnostic and two refractory acute myeloid leukemia (AML) patient cases, each with a different genetic background, we accurately predicted patient-specific combinations that not only resulted in synergistic cancer cell co-inhibition but also were capable of targeting specific AML cell subpopulations that emerge in differing stages of disease pathogenesis or treatment regimens. Our functional precision oncology approach provides an unbiased means for systematic identification of personalized combinatorial regimens that selectively co-inhibit leukemic cells while avoiding inhibition of nonmalignant cells, thereby increasing their likelihood for clinical translation.
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Affiliation(s)
- Aleksandr Ianevski
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Helsinki Institute for Information Technology (HIIT), Department of Computer Science, Aalto University, Espoo, Finland
| | - Jenni Lahtela
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Komal K Javarappa
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Philipp Sergeev
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Bishwa R Ghimire
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Prson Gautam
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Markus Vähä-Koskela
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Laura Turunen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Nora Linnavirta
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Heikki Kuusanmäki
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Biotech Research and Innovation Centre (BRIC) and Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, Copenhagen, Denmark
- Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
| | - Mika Kontro
- Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
| | - Kimmo Porkka
- Helsinki University Hospital Comprehensive Cancer Center, Hematology Research Unit Helsinki, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Caroline A Heckman
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Pirkko Mattila
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Krister Wennerberg
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
- Biotech Research and Innovation Centre (BRIC) and Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, Copenhagen, Denmark
| | - Anil K Giri
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
| | - Tero Aittokallio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
- Helsinki Institute for Information Technology (HIIT), Department of Computer Science, Aalto University, Espoo, Finland
- Institute for Cancer Research, Department of Cancer Genetics, Oslo University Hospital, Oslo, Norway
- Centre for Biostatistics and Epidemiology (OCBE), Faculty of Medicine, University of Oslo, Oslo, Norway
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12
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Nair R, Salinas-Illarena A, Baldauf HM. New strategies to treat AML: novel insights into AML survival pathways and combination therapies. Leukemia 2020; 35:299-311. [PMID: 33122849 DOI: 10.1038/s41375-020-01069-1] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 10/13/2020] [Indexed: 12/14/2022]
Abstract
The effective treatment of acute myeloid leukemia (AML) is very challenging. Due to the immense heterogeneity of this disease, treating it using a "one size fits all" approach is ineffective and only benefits a subset of patients. Instead, there is a shift towards more personalized treatment based on the patients' genomic signature. This shift has facilitated the increased revelation of novel insights into pathways that lead to the survival and propagation of AML cells. These AML survival pathways are involved in drug resistance, evasion of the immune system, reprogramming metabolism, and impairing differentiation. In addition, based on the reports of enhanced clinical efficiencies when combining drugs or treatments, deeper investigation into possible pathways, which can be targeted together to increase treatment response in a wider group of patients, is warranted. In this review, not only is a comprehensive summary of targets involved in these pathways provided, but also insights into the potential of targeting these molecules in combination therapy will be discussed.
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Affiliation(s)
- Ramya Nair
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Alejandro Salinas-Illarena
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Hanna-Mari Baldauf
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany.
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13
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Practical Considerations for Treatment of Relapsed/Refractory FLT3-ITD Acute Myeloid Leukaemia with Quizartinib: Illustrative Case Reports. Clin Drug Investig 2020; 40:227-235. [PMID: 31912423 PMCID: PMC7035240 DOI: 10.1007/s40261-019-00881-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Quizartinib is a tyrosine kinase inhibitor selectively targeting the FMS-like tyrosine kinase 3 (FLT3) receptor that has been developed for the treatment of acute myeloid leukaemia (AML). The Phase 3 QuANTUM-R study investigated the efficacy of quizartinib monotherapy in patients with relapsed/refractory FLT3-ITD mutation-positive AML. The clinical course of four QuANTUM-R participants exemplifies issues specific to quizartinib treatment and is described here. Patient 1 was FLT3-ITD mutation-negative at AML diagnosis, but became FLT3-ITD mutation-positive during treatment that included several lines of chemotherapy and was therefore a suitable candidate for quizartinib. Because of the clonal shifts of AML during treatment, retesting genetic alterations at each relapse or resistance may help to identify candidates for targeted treatment options. Patient 2 developed QTc prolongation during quizartinib treatment, but the QTc interval normalised after dose reduction, allowing the patient to continue treatment and eventually resume the recommended dose. Patient 3 responded to quizartinib and was scheduled for haematopoietic stem cell transplant (HSCT), but developed febrile neutropenia and invasive aspergillosis during conditioning and subsequently died (to avoid drug-drug interactions, no azole antifungal was administered concomitantly). Care is required when selecting concomitant medications, and if there is potential for interactions (e.g. if prophylactic azole antifungals are required) the quizartinib dose should be reduced to minimise the risk of QTc prolongation. Patient 4 was able to undergo HSCT after responding to quizartinib and experienced a durable response after HSCT while on quizartinib maintenance therapy. Together, these cases illustrate the main issues to be addressed when managing patients under quizartinib, allowing for adequate scheduling and tolerability, bridging to HSCT, and durable remission on maintenance therapy in some patients.
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14
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Vu M, Kassouf N, Ofili R, Lund T, Bell C, Appiah S. Doxorubicin selectively induces apoptosis through the inhibition of a novel isoform of Bcl‑2 in acute myeloid leukaemia MOLM‑13 cells with reduced Beclin 1 expression. Int J Oncol 2020; 57:113-121. [PMID: 32377726 PMCID: PMC7252449 DOI: 10.3892/ijo.2020.5052] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 04/06/2020] [Indexed: 02/06/2023] Open
Abstract
The overexpression of anti-apoptotic Bcl-2 in acute myeloid leukaemia (AML) may contribute to difficulties in eradicating these cells during chemotherapy. In the present study, doxorubicin (Dox) was evaluated for its potential to induce selective apoptotic cell death in AML MOLM-13 cells and to modulate autophagy through Bcl-2 and Beclin 1 protein expression. Annexin V/propidium iodide and 5(6)-carboxyfluorescein diacetate succinimidyl ester (CFSE) flow cytometric analyses were conducted to determine the effects of Dox on cell death and cell proliferation, respectively, following 48 h of co-incubation with AML MOLM-13 or U-937 monocytic cells. The protein expression levels of Bcl-2 and Beclin 1 in untreated and treated cells were quantified by western blot analysis. Dox reduced the viability of MOLM-13 cells partly by inhibiting cell division and inducing cell apoptosis. Dox demonstrated a level of selectivity in its cytotoxicity against MOLM-13 compared to U-937 cells (P<0.05). Dox induced a significant decrease in Beclin 1 protein levels in MOLM-13 cells without significantly affecting the protein levels in U-937 monocytes. A novel Bcl-2 15-20 kDa (p15-20-Bcl-2) isoform was found to be selectively expressed in AML MOLM-13 cells (but absent in the leukaemic cell lines tested, OCI-AML2, CML K562 and U-937). Dox induced a highly significant inhibition of p15-20-Bcl-2 at concentrations of 0.5, 0.75 and 1 µM (P<0.01). However, the usual 26 kDa Bcl-2 (p26-Bcl-2-α) isoform protein expression was not affected by the drug in either the MOLM-13 or U-937 cells. It was thus postulated that Dox exhibited some selectivity by targeting the p15-20-Bcl-2 isoform in MOLM-13 cells and activating Beclin 1 to induce cell death.
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Affiliation(s)
- Milan Vu
- Department of Natural Sciences, Faculty of Science and Technology, Middlesex University, London NW4 4BT, UK
| | - Nick Kassouf
- Department of Natural Sciences, Faculty of Science and Technology, Middlesex University, London NW4 4BT, UK
| | - Rosemary Ofili
- Department of Natural Sciences, Faculty of Science and Technology, Middlesex University, London NW4 4BT, UK
| | - Torben Lund
- Department of Natural Sciences, Faculty of Science and Technology, Middlesex University, London NW4 4BT, UK
| | - Celia Bell
- Department of Natural Sciences, Faculty of Science and Technology, Middlesex University, London NW4 4BT, UK
| | - Sandra Appiah
- Department of Natural Sciences, Faculty of Science and Technology, Middlesex University, London NW4 4BT, UK
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15
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Zhang Z, Zhou C, Li X, Barnes SD, Deng S, Hoover E, Chen CC, Lee YS, Zhang Y, Wang C, Metang LA, Wu C, Tirado CR, Johnson NA, Wongvipat J, Navrazhina K, Cao Z, Choi D, Huang CH, Linton E, Chen X, Liang Y, Mason CE, de Stanchina E, Abida W, Lujambio A, Li S, Lowe SW, Mendell JT, Malladi VS, Sawyers CL, Mu P. Loss of CHD1 Promotes Heterogeneous Mechanisms of Resistance to AR-Targeted Therapy via Chromatin Dysregulation. Cancer Cell 2020; 37:584-598.e11. [PMID: 32220301 PMCID: PMC7292228 DOI: 10.1016/j.ccell.2020.03.001] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 11/04/2019] [Accepted: 02/28/2020] [Indexed: 12/25/2022]
Abstract
Metastatic prostate cancer is characterized by recurrent genomic copy number alterations that are presumed to contribute to resistance to hormone therapy. We identified CHD1 loss as a cause of antiandrogen resistance in an in vivo small hairpin RNA (shRNA) screen of 730 genes deleted in prostate cancer. ATAC-seq and RNA-seq analyses showed that CHD1 loss resulted in global changes in open and closed chromatin with associated transcriptomic changes. Integrative analysis of this data, together with CRISPR-based functional screening, identified four transcription factors (NR3C1, POU3F2, NR2F1, and TBX2) that contribute to antiandrogen resistance, with associated activation of non-luminal lineage programs. Thus, CHD1 loss results in chromatin dysregulation, thereby establishing a state of transcriptional plasticity that enables the emergence of antiandrogen resistance through heterogeneous mechanisms.
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MESH Headings
- Androgen Antagonists/pharmacology
- Animals
- Apoptosis
- Biomarkers, Tumor/genetics
- Cell Proliferation
- Chromatin/genetics
- Chromatin/metabolism
- DNA Helicases/antagonists & inhibitors
- DNA Helicases/genetics
- DNA-Binding Proteins/antagonists & inhibitors
- DNA-Binding Proteins/genetics
- DNA-Binding Proteins/metabolism
- Drug Resistance, Neoplasm/genetics
- Gene Expression Regulation, Neoplastic
- High-Throughput Screening Assays
- Humans
- Male
- Mice
- Prostatic Neoplasms, Castration-Resistant/drug therapy
- Prostatic Neoplasms, Castration-Resistant/genetics
- Prostatic Neoplasms, Castration-Resistant/pathology
- RNA, Small Interfering/genetics
- Receptors, Androgen/chemistry
- Receptors, Androgen/genetics
- Transcription Factors/metabolism
- Tumor Cells, Cultured
- Xenograft Model Antitumor Assays
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Affiliation(s)
- Zeda Zhang
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Louis V. Gerstner, Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Chuanli Zhou
- Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Xiaoling Li
- Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Spencer D Barnes
- Bioinformatics Core Facility of the Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Su Deng
- Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Elizabeth Hoover
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Chi-Chao Chen
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Weill Cornell Graduate School of Medical Sciences, New York, NY 10021, USA
| | - Young Sun Lee
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Yanxiao Zhang
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Choushi Wang
- Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Lauren A Metang
- Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Chao Wu
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Nickolas A Johnson
- Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - John Wongvipat
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Zhen Cao
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Weill Cornell Graduate School of Medical Sciences, New York, NY 10021, USA
| | - Danielle Choi
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Chun-Hao Huang
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Weill Cornell Graduate School of Medical Sciences, New York, NY 10021, USA
| | - Eliot Linton
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Xiaoping Chen
- Department of Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Yupu Liang
- Center for Clinical and Translational Science, Rockefeller University, New York, NY 10065, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Elisa de Stanchina
- Department of Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Wassim Abida
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Amaia Lujambio
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sheng Li
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Scott W Lowe
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Joshua T Mendell
- Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Venkat S Malladi
- Bioinformatics Core Facility of the Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Charles L Sawyers
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.
| | - Ping Mu
- Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA; Hamon Center for Regenerative Science and Medicine, UT Southwestern Medical Center, Dallas, TX 75390, USA; Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX 75390, USA.
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16
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Sun HB, Wang HY, Wu B, Wang ZF, Wang LZ, Li FQ, Wu JD, Zhang LN. The inhibitory effects of cisplatin-radiation combination treatment on malignant osteosarcoma MG-63 cells and BRCA1-p53 pathways are more efficient than single treatments. Oncol Lett 2019; 18:6385-6396. [PMID: 31807162 PMCID: PMC6876329 DOI: 10.3892/ol.2019.11019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 08/22/2019] [Indexed: 01/07/2023] Open
Abstract
The poor prognosis of patients with osteosarcoma remains a persistent problem, in particular for patients with unresectable tumors or metastasis. Therefore, combination of radiotherapy and chemotherapy has been considered for patients with metastasis or recurrence, patients unsuitable for surgery and patients refusing surgery. The present study aimed to investigate the effect of the combined treatment with cisplatin and radiation therapy on the biological characteristics of the osteosarcoma cell line MG-63 and the breast cancer 1 (BRCA1)-associated signaling pathways. Cell proliferation was determined using Cell Counting kit-8 assay, and cell apoptosis and cell cycle were assessed by flow cytometry. Cell migration was examined by Transwell assay. The mRNA and protein expression levels of candidate genes, including BRCA1 and p53, were determined by reverse transcription-quantitative PCR and western blotting, respectively. The results demonstrated that combined treatment with radiation and cisplatin significantly inhibited MG-63 cell proliferation compared with radiation or cisplatin treatment alone. Furthermore, radiation, cisplatin or the combined treatment with radiation and cisplatin increased the apoptosis rate of MG-63 cells, which resulted in G2 phase arrest, and significantly decreased the migratory capacity of MG-63 cells. In addition, the apoptosis rate of MG-63 cells following combined radiation and cisplatin treatment was higher compared with the cisplatin group, but lower compared with the radiation group. Furthermore, combined treatment with radiation and cisplatin decreased the mRNA and protein expression levels of BRCA1 and p53. Additionally, combined treatment with radiation and cisplatin had a more potent inhibitory effect on p53 expression than on BRCA1 expression. In addition, combination of radiation and cisplatin had a higher inhibitory effect on Bax protein level and a higher inductive effect on Bcl-2 protein level compared with treatments with radiation and cisplatin alone. The results demonstrated that combined treatment of radiation and cisplatin exhibited superior therapeutic effects on osteosarcoma MG-63 cells compared with radiation or cisplatin treatment alone, which may be mediated by the BRCA1-p53 signaling pathway.
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Affiliation(s)
- Hong-Bin Sun
- Department of Thoracic Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China
| | - He-Yuan Wang
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Bing Wu
- Department of Neurosurgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China
| | - Zhong-Feng Wang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Li-Zhe Wang
- Department of Pediatric Oncology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Fu-Qiang Li
- Eye Center of The Second Hospital of Jilin University, Changchun, Jilin 130041, P.R. China
| | - Jun-Duo Wu
- Department of Cardiology, The Second Hospital of Jilin University, Changchun, Jilin 130041, P.R. China
| | - Le-Ning Zhang
- Department of Thoracic Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China
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17
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Srideshikan SM, Brooks J, Zuro D, Kumar B, Sanchez J, Echavarria Parra L, Orellana M, Vishwasrao P, Nair I, Chea J, Poku K, Bowles N, Miller A, Ebner T, Molnar J, Rosenthal J, Vallera DA, Wong JYC, Stein AS, Colcher D, Shively JE, Yazaki PJ, Hui SK. ImmunoPET, [ 64Cu]Cu-DOTA-Anti-CD33 PET-CT, Imaging of an AML Xenograft Model. Clin Cancer Res 2019; 25:7463-7474. [PMID: 31548348 DOI: 10.1158/1078-0432.ccr-19-1106] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 07/13/2019] [Accepted: 09/11/2019] [Indexed: 12/19/2022]
Abstract
PURPOSE Acute myeloid leukemia (AML) is a highly aggressive form of leukemia, which results in poor survival outcomes. Currently, diagnosis and prognosis are based on invasive single-point bone marrow biopsies (iliac crest). There is currently no AML-specific noninvasive imaging method to detect disease, including in extramedullary organs, representing an unmet clinical need. About 85% to 90% of human myeloid leukemia cells express CD33 cell surface receptors, highlighting CD33 as an ideal candidate for AML immunoPET. EXPERIMENTAL DESIGN We evaluated whether [64Cu]Cu-DOTA-anti-CD33 murine mAb can be used for immunoPET imaging of AML in a preclinical model. MicroCT was adjusted to detect spatial/anatomical details of PET activity. For translational purposes, a humanized anti-CD33 antibody was produced; we confirmed its ability to detect disease and its distribution. We reconfirmed/validated CD33 antibody-specific targeting with an antibody-drug conjugate (ADC) and radioimmunotherapy (RIT). RESULTS [64Cu]Cu-DOTA-anti-CD33-based PET-CT imaging detected CD33+ AML in mice with high sensitivity (95.65%) and specificity (100%). The CD33+ PET activity was significantly higher in specific skeletal niches [femur (P < 0.00001), tibia (P = 0.0001), humerus (P = 0.0014), and lumber spine (P < 0.00001)] in AML-bearing mice (over nonleukemic control mice). Interestingly, the hybrid PET-CT imaging showed high disease activity in the epiphysis/metaphysis of the femur, indicating regional spatial heterogeneity. Anti-CD33 therapy using newly developed humanized anti-CD33 mAb as an ADC (P = 0.02) and [225Ac]Ac-anti-CD33-RIT (P < 0.00001) significantly reduced disease burden over that of respective controls. CONCLUSIONS We have successfully developed a novel anti-CD33 immunoPET-CT-based noninvasive modality for AML and its spatial distribution, indicating a preferential skeletal niche.
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MESH Headings
- Animals
- Antibodies, Monoclonal, Humanized/pharmacokinetics
- Cell Line, Tumor
- Copper Radioisotopes/chemistry
- Disease Models, Animal
- Heterocyclic Compounds, 1-Ring/chemistry
- Immunoconjugates/pharmacokinetics
- Leukemia, Myeloid, Acute/diagnostic imaging
- Leukemia, Myeloid, Acute/drug therapy
- Leukemia, Myeloid, Acute/pathology
- Mice
- Mice, Inbred NOD
- Mice, SCID
- Positron Emission Tomography Computed Tomography/methods
- Radiopharmaceuticals/pharmacokinetics
- Sialic Acid Binding Ig-like Lectin 3/antagonists & inhibitors
- Sialic Acid Binding Ig-like Lectin 3/immunology
- Tissue Distribution
- Xenograft Model Antitumor Assays
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Affiliation(s)
| | - Jamison Brooks
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Darren Zuro
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Bijender Kumar
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - James Sanchez
- Beckman Research Institute of City of Hope, Duarte, California
| | | | - Marvin Orellana
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Paresh Vishwasrao
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Indu Nair
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Junie Chea
- Department of Molecular Imaging & Therapy, Beckman Research Institute of City of Hope, Duarte, California
| | - Kofi Poku
- Department of Molecular Imaging & Therapy, Beckman Research Institute of City of Hope, Duarte, California
| | - Nicole Bowles
- Department of Molecular Imaging & Therapy, Beckman Research Institute of City of Hope, Duarte, California
| | - Aaron Miller
- Department of Molecular Imaging & Therapy, Beckman Research Institute of City of Hope, Duarte, California
| | - Todd Ebner
- Department of Molecular Imaging & Therapy, Beckman Research Institute of City of Hope, Duarte, California
| | - Justin Molnar
- Department of Molecular Imaging & Therapy, Beckman Research Institute of City of Hope, Duarte, California
| | - Joseph Rosenthal
- Department of Pediatrics, City of Hope National Medical Center, Duarte, California
| | - Daniel A Vallera
- Department of Therapeutic Radiology-Radiation Oncology, University of Minnesota, Minneapolis, Minnesota
| | - Jeffrey Y C Wong
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California
| | - Anthony S Stein
- Department of Hematology/HCT, City of Hope National Medical Center, Duarte, California
| | - David Colcher
- Department of Molecular Imaging & Therapy, Beckman Research Institute of City of Hope, Duarte, California
| | - John E Shively
- Department of Molecular Imaging & Therapy, Beckman Research Institute of City of Hope, Duarte, California
| | - Paul J Yazaki
- Department of Molecular Imaging & Therapy, Beckman Research Institute of City of Hope, Duarte, California
| | - Susanta K Hui
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, California.
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18
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Goldman SL, Hassan C, Khunte M, Soldatenko A, Jong Y, Afshinnekoo E, Mason CE. Epigenetic Modifications in Acute Myeloid Leukemia: Prognosis, Treatment, and Heterogeneity. Front Genet 2019; 10:133. [PMID: 30881380 PMCID: PMC6405641 DOI: 10.3389/fgene.2019.00133] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 02/08/2019] [Indexed: 01/09/2023] Open
Abstract
Leukemia, specifically acute myeloid leukemia (AML), is a common malignancy that can be differentiated into multiple subtypes based on leukemogenic history and etiology. Although genetic aberrations, particularly cytogenetic abnormalities and mutations in known oncogenes, play an integral role in AML development, epigenetic processes have been shown as a significant and sometimes independent dynamic in AML pathophysiology. Here, we summarize how tumors evolve and describe AML through an epigenetic lens, including discussions on recent discoveries that include prognostics from epialleles, changes in RNA function for hematopoietic stem cells and the epitranscriptome, and novel epigenetic treatment options. We further describe the limitations of treatment in the context of the high degree of heterogeneity that characterizes acute myeloid leukemia.
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Affiliation(s)
- Samantha L Goldman
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.,University of Maryland, College Park, MD, United States
| | - Ciaran Hassan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.,Yale College, New Haven, CT, United States
| | - Mihir Khunte
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States.,Yale College, New Haven, CT, United States
| | - Arielle Soldatenko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States.,Yale College, New Haven, CT, United States
| | - Yunji Jong
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States.,Yale College, New Haven, CT, United States
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.,The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, United States
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.,The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, United States.,The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, United States
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19
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Goldman SL, MacKay M, Afshinnekoo E, Melnick AM, Wu S, Mason CE. The Impact of Heterogeneity on Single-Cell Sequencing. Front Genet 2019; 10:8. [PMID: 30881372 PMCID: PMC6405636 DOI: 10.3389/fgene.2019.00008] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 01/09/2019] [Indexed: 12/28/2022] Open
Abstract
The importance of diversity and cellular specialization is clear for many reasons, from population-level diversification, to improved resiliency to unforeseen stresses, to unique functions within metazoan organisms during development and differentiation. However, the level of cellular heterogeneity is just now becoming clear through the integration of genome-wide analyses and more cost effective Next Generation Sequencing (NGS). With easy access to single-cell NGS (scNGS), new opportunities exist to examine different levels of gene expression and somatic mutational heterogeneity, but these assays can generate yottabyte scale data. Here, we model the importance of heterogeneity for large-scale analysis of scNGS data, with a focus on the utilization in oncology and other diseases, providing a guide to aid in sample size and experimental design.
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Affiliation(s)
- Samantha L Goldman
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, United States.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, United States.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, United States.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.,WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, United States
| | - Ari M Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Shuxiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China.,Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, United States.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.,WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, United States.,The Feil Family Brain and Mind Research Institute, New York, NY, United States
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20
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Ren JT, Wang MX, Su Y, Tang LY, Ren ZF. Decelerated DNA methylation age predicts poor prognosis of breast cancer. BMC Cancer 2018; 18:989. [PMID: 30333003 PMCID: PMC6191915 DOI: 10.1186/s12885-018-4884-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 10/01/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND DNA methylation (DNAm) age was found to be an indicator for all-cause mortality, cancer incidence, and longevity, but no study has involved in the associations of DNAm age with the prognosis of breast cancer. METHODS We retrieved information of 1076 breast cancer patients from Genomic Data Commons (GDC) data portal on March 30, 2017, including breast cancer DNAm profiling, demographic features, clinicopathological parameters, recurrence, and all-cause fatality. Horvath's method was applied to calculate the DNAm age. Cox proportional hazards regression models were used to test the associations between DNAm age of the cancerous tissues and the prognosis (recurrence of breast cancer and all-cause fatality) with or without adjusting for chronological age and clinicopathological parameters. RESULTS The DNAm age was markedly decelerated in the patients who were premenopausal, ER or PR negative, HER2-enriched or basal-like than their counterparts. In the first five-year follow-up dataset for survival, every ten-year increase in DNAm age was associated with a 15% decrease in fatality; subjects with DNAm age in the second (HR: 0.52; 95%CI: 0.29-0.92), the third (HR: 0.49; 95%CI: 0.27-0.87) and the fourth quartile (HR: 0.38; 95%CI: 0.20-0.72) had significant longer survival time than those in the first quartile. In the first five-year follow-up dataset for recurrence, every ten-year increase in DNAm age was associated with a 14% decrease of the recurrence; in the categorical analysis, a clear dose-response was shown (P for trend =0.02) and the fourth quartile was associated with a longer recurrence free survival (HR: 0.32; 95%CI: 0.14-0.74). In the full follow-up dataset, similar results were obtained. CONCLUSIONS DNAm age of breast cancer tissue, which associated with menopausal status and pathological features, was a strong independent predictor of the prognosis. It was suggested that the prognosis of breast cancer was related to intrinsic biological changes and specific molecular targets for treatment of breast cancer may be implicit.
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Affiliation(s)
- Jun-Ting Ren
- The School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, People's Republic of China.,Mailman School of Public Health, Columbia University, New York, USA
| | - Mei-Xia Wang
- The School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, People's Republic of China
| | - Yi Su
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Lu-Ying Tang
- The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ze-Fang Ren
- The School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, People's Republic of China.
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21
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Kim IG, Lee JH, Kim SY, Hwang HM, Kim TR, Cho EW. Hypoxia-inducible transgelin 2 selects epithelial-to-mesenchymal transition and γ-radiation-resistant subtypes by focal adhesion kinase-associated insulin-like growth factor 1 receptor activation in non-small-cell lung cancer cells. Cancer Sci 2018; 109:3519-3531. [PMID: 30191639 PMCID: PMC6215889 DOI: 10.1111/cas.13791] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 08/24/2018] [Accepted: 09/01/2018] [Indexed: 12/24/2022] Open
Abstract
Microenvironment, such as hypoxia common to cancer, plays a critical role in the epithelial‐to‐mesenchymal transition (EMT) program, which is a major route of cancer metastasis and confers γ‐radiation resistance to cells. Herein, we showed that transgelin 2 (TAGLN2), an actin‐binding protein, is significantly induced in hypoxic lung cancer cells and that Snail1 is simultaneously increased, which induces EMT by downregulating E‐cadherin expression. Forced TAGLN2 expression induced severe cell death; however, a small population of cells surviving after forced TAGLN2 overexpression showed γ‐radiation resistance, which might promote tumor relapse and recurrence. These surviving cells showed high metastatic activity with an increase of EMT markers including Snail1. In these cells, TAGLN2 activated the insulin‐like growth factor 1 receptor β (IGF1Rβ)/PI3K/AKT pathway by recruitment of focal adhesion kinase to the IGF1R signaling complex. Activation of the IGF1Rβ/PI3K/AKT pathway also induced inactivation of glycogen synthase kinase 3β (GSK3β), which is involved in Snail1 stabilization. Therefore, both the IGF1Rβ inhibitor (AG1024) and the PI3K inhibitor (LY294002) or AKT inactivation with MK2206 lower the cellular level of Snail1. Involvement of GSK3β was also confirmed by treatment with lithium chloride, the inducer of GSK3β phosphorylation, or MG132, the 26S proteasomal inhibitor, which also stabilized Snail1. In conclusion, the present study provides important evidence that hypoxia‐inducible TAGLN2 is involved in the selection of cancer cells with enhanced EMT properties to overcome the detrimental environment of cancer cells.
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Affiliation(s)
- In-Gyu Kim
- Department of Radiation Biology, Environmental Radiation Research Group, Korea Atomic Energy Research Institute, Daejeon, Korea.,Department of Radiation Biotechnology and Applied Radioisotope, University of Science and Technology (UST), Daejeon, Korea
| | - Jei-Ha Lee
- Department of Radiation Biology, Environmental Radiation Research Group, Korea Atomic Energy Research Institute, Daejeon, Korea
| | - Seo-Yeon Kim
- Department of Radiation Biology, Environmental Radiation Research Group, Korea Atomic Energy Research Institute, Daejeon, Korea
| | - Hai-Min Hwang
- Rare Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
| | - Tae-Rim Kim
- Department of Radiation Biology, Environmental Radiation Research Group, Korea Atomic Energy Research Institute, Daejeon, Korea
| | - Eun-Wie Cho
- Rare Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
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22
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Zhou J, Chng WJ. Resistance to FLT3 inhibitors in acute myeloid leukemia: Molecular mechanisms and resensitizing strategies. World J Clin Oncol 2018; 9:90-97. [PMID: 30254964 PMCID: PMC6153124 DOI: 10.5306/wjco.v9.i5.90] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 08/02/2018] [Accepted: 08/07/2018] [Indexed: 02/06/2023] Open
Abstract
FMS-like tyrosine kinase 3 (FLT3) is classified as a type III receptor tyrosine kinase, which exerts a key role in regulation of normal hematopoiesis. FLT3 mutation is the most common genetic mutation in acute myeloid leukemia (AML) and represents an attractive therapeutic target. Targeted therapy with FLT3 inhibitors in AML shows modest promising results in current ongoing clinical trials suggesting the complexity of FLT3 targeting in therapeutics. Importantly, resistance to FLT3 inhibitors may explain the lack of overwhelming response and could obstruct the successful treatment for AML. Here, we summarize the molecular mechanisms of primary resistance and acquired resistance to FLT3 inhibitors and discuss the strategies to circumvent the emergency of drug resistance and to develop novel treatment intervention.
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Affiliation(s)
- Jianbiao Zhou
- Cancer Science Institute of Singapore, National University of Singapore, Centre for Translational Medicine, Singapore 117599, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119074, Singapore
| | - Wee-Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, Centre for Translational Medicine, Singapore 117599, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119074, Singapore
- Department of Hematology-Oncology, National University Cancer Institute, NUHS, Singapore 119228, Singapore
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23
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Single-Cell Sequencing in Normal and Malignant Hematopoiesis. Hemasphere 2018; 2:e34. [PMID: 31723762 PMCID: PMC6745901 DOI: 10.1097/hs9.0000000000000034] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 01/19/2018] [Accepted: 01/22/2018] [Indexed: 12/31/2022] Open
Abstract
Hematopoiesis is one of the best studied adult stem-cell systems, with a differentiation hierarchy progressing from immature hematopoietic stem cells to over 10 distinct mature cell types. Recent technological breakthroughs now make it possible to define transcriptional profiles in thousands of individual cells. Facilitated by the wealth of prior data on cell purification and analysis strategies, hematopoiesis has been one of the earliest experimental systems to which many of these new single-cell sequencing technologies have been applied. In this review, the authors focus on recent studies, which have shed light on heterogeneity within individual populations as well as the relationships between populations, and also attempt to characterize the differences between normal and disease/perturbed states.
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24
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Blume R, Rempel E, Manta L, Saeed BR, Wang W, Raffel S, Ermakova O, Eckstein V, Benes V, Trumpp A, Ho AD, Lutz C. The molecular signature of AML with increased ALDH activity suggests a stem cell origin. Leuk Lymphoma 2018; 59:2201-2210. [DOI: 10.1080/10428194.2017.1422862] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Rachel Blume
- Department of Medicine V, Heidelberg University, Heidelberg, Germany
| | - Eugen Rempel
- Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany
| | - Linda Manta
- Department of Medicine V, Heidelberg University, Heidelberg, Germany
| | - Borhan R. Saeed
- Department of Medicine V, Heidelberg University, Heidelberg, Germany
| | - Wenwen Wang
- Department of Medicine V, Heidelberg University, Heidelberg, Germany
| | - Simon Raffel
- Department of Medicine V, Heidelberg University, Heidelberg, Germany
- Division of Stem Cells and Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
| | - Olga Ermakova
- Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany
| | - Volker Eckstein
- Department of Medicine V, Heidelberg University, Heidelberg, Germany
| | - Vladimir Benes
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Andreas Trumpp
- Division of Stem Cells and Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
| | - Anthony D. Ho
- Department of Medicine V, Heidelberg University, Heidelberg, Germany
| | - Christoph Lutz
- Department of Medicine V, Heidelberg University, Heidelberg, Germany
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25
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Sun W, Cang S, Lv X, Wang P, Lin Q, Zhang Q, Yan Z, Liu Z, Song Y. DDX51 gene promotes proliferation by activating Wnt/β-catenin signaling in breast cancer. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2017; 10:10892-10900. [PMID: 31966432 PMCID: PMC6965824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Accepted: 10/17/2017] [Indexed: 06/10/2023]
Abstract
Breast cancer was a malignant tumor seriously threatening the life of women in the world. But the prognosis of breast cancer patients was not so satisfactory due to the limited effective therapeutics. The heterogeneity decided that more than one gene or one signaling pathway was responsible for the initiation or progression of breast cancer. DDX51 gene was a member of RNA helicases family in charge of regulation of RNA metabolism. And DDX51 gene was shown to promote proliferation in NSCLC. But we firstly reported the abundant expression of DDX51 gene in both the breast cancer tissues and cell lines in this study. And DDX51 expression was shown to be associated with TNM stage and prognosis in breast cancer patients. When DDX51 was successfully knocked down, either proliferation or DNA synthesis of MCF-7 cells was inhibited. But the ability of migration and invasion of MCF-7 cells was not affected by DDX51 gene. Furthermore, DDX51 knockdown was accompanied by inhibition of Wnt/β-catenin signaling because expression of critical members such as β-catenin, cyclin D1, TCF/LEF, and DKK1 were all affected. Therefore, this study proved that DDX51 gene promoted proliferation in MCF-7 cells by regulating Wnt/β-catenin signaling pathway and showed clinical significance in breast cancer. This study provides us a new promising hope for treatment of patients with breast cancer.
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Affiliation(s)
- Weibo Sun
- Henan Key Lab of Cancer Stem Cells, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhou, Henan, China
- Department of Oncology, People’s Hospital of Zhengzhou University, The Henan Province People’s HospitalZhengzhou, Henan, China
| | - Shundong Cang
- Department of Oncology, People’s Hospital of Zhengzhou University, The Henan Province People’s HospitalZhengzhou, Henan, China
| | - Xiaodong Lv
- Henan Key Lab of Cancer Stem Cells, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhou, Henan, China
| | - Ping Wang
- Henan Key Lab of Cancer Stem Cells, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhou, Henan, China
| | - Quande Lin
- Henan Key Lab of Cancer Stem Cells, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhou, Henan, China
| | - Qing Zhang
- Henan Key Lab of Cancer Stem Cells, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhou, Henan, China
| | - Zechen Yan
- Department of Surgery, First Affiliated Hospital of Zhengzhou UniversityZhengzhou, Henan, China
| | - Zhongyang Liu
- Department of Surgery, First Affiliated Hospital of Zhengzhou UniversityZhengzhou, Henan, China
| | - Yongping Song
- Henan Key Lab of Cancer Stem Cells, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhou, Henan, China
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