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Mathews LA, Keller JM, McKnight C, Michael S, Shinn P, Liu D, Staudt LM, Thomas CJ, Ferrer M. Multiplexing High‐Content Flow (HCF) and Quantitative High‐Throughput Screening (qHTS) to Identify Compounds Capable of Decreasing Cell Viability, Activating Caspase 3/7, Expressing Annexin V, and Changing Mitochondrial Membrane Integrity. ACTA ACUST UNITED AC 2013; 5:195-212. [DOI: 10.1002/9780470559277.ch130060] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Lesley A. Mathews
- Division of Preclinical Innovation, National Center for Advancing Translational SciencesNational Institutes of Health Bethesda Maryland
| | - Jonathan M. Keller
- Division of Preclinical Innovation, National Center for Advancing Translational SciencesNational Institutes of Health Bethesda Maryland
| | - Crystal McKnight
- Division of Preclinical Innovation, National Center for Advancing Translational SciencesNational Institutes of Health Bethesda Maryland
| | - Sam Michael
- Division of Preclinical Innovation, National Center for Advancing Translational SciencesNational Institutes of Health Bethesda Maryland
| | - Paul Shinn
- Division of Preclinical Innovation, National Center for Advancing Translational SciencesNational Institutes of Health Bethesda Maryland
| | - Dongbo Liu
- Division of Preclinical Innovation, National Center for Advancing Translational SciencesNational Institutes of Health Bethesda Maryland
| | - Louis M. Staudt
- Metabolism Branch, Center for Cancer ResearchNational Cancer Institute, National Institutes of Health Bethesda Maryland
| | - Craig J. Thomas
- Division of Preclinical Innovation, National Center for Advancing Translational SciencesNational Institutes of Health Bethesda Maryland
| | - Marc Ferrer
- Division of Preclinical Innovation, National Center for Advancing Translational SciencesNational Institutes of Health Bethesda Maryland
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Sun L, Mathews LA, Cabarcas SM, Zhang X, Yang A, Zhang Y, Young MR, Klarmann KD, Keller JR, Farrar WL. Epigenetic regulation of SOX9 by the NF-κB signaling pathway in pancreatic cancer stem cells. Stem Cells 2013; 31:1454-66. [PMID: 23592398 PMCID: PMC3775871 DOI: 10.1002/stem.1394] [Citation(s) in RCA: 96] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2012] [Revised: 03/10/2013] [Accepted: 03/18/2013] [Indexed: 12/14/2022]
Abstract
Pancreatic cancer is the fourth leading cause of cancer-related mortality in the world. Pancreatic cancer can be localized, locally advanced, or metastatic. The median 1- and 5-year survival rates are 25% and 6%, respectively. Epigenetic modifications such as DNA methylation play a significant role during both normal human development and cancer progression. To investigate epigenetic regulation of genes in the tumor-initiating population of pancreatic cancer cells, which are also termed cancer stem cells (CSCs), we conducted epigenetic arrays in PANC1 and HPAC pancreatic cancer cell lines and compared the global DNA methylation status of CpG promoters in invasive cells, demonstrated to be CSCs, to their noninvasive counterparts, or non-CSCs. Our results suggested that the NF-κB pathway is one of the most activated pathways in pancreatic CSCs. In agreement with this, we determined that upon treatment with NF-κB pathway inhibitors, the stem cell-like properties of cells are significantly disrupted. Moreover, SOX9, demethylated in CSCs, is shown to play a crucial role in the invasion process. Additionally, we found a potential NF-κB binding site located in the SOX9 promoter and determined that the NF-κB subunit p65 positively regulates SOX9 expression by binding to its promoter directly. This interaction can be efficiently blocked by NF-κB inhibitors. Thus, our work establishes a link between the classic NF-κB signaling transduction pathway and the invasiveness of pancreatic CSCs, which may result in the identification of novel signals and molecules that function at an epigenetic level, and could potentially be targeted for pharmaceutical investigations and clinical trials.
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Affiliation(s)
- Lei Sun
- Cancer Stem Cell Section, Laboratory of Cancer Prevention, Laboratory of Cancer Prevention, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland, USA.
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Mathews LA, Guha R, Shinn P, Young RM, Lim KH, Keller J, Liu D, Yasgar A, McKnight C, Boxer MB, Duveau DY, Jiang JK, Michael S, Mott BT, Patel PR, Leister W, Maloney DJ, LeClair CA, Rai G, Jadhav A, Peyser BD, Austin CP, Martin S, Simeonov A, Ferrer M, Staudt L, Thomas CJ. Abstract 4543: High-throughput combination screening identifies novel drug-drug pairings for a Bruton's tyrosine kinase inhibitor against the ABC subtype of diffuse large B-cell lymphomas. Cancer Res 2013. [DOI: 10.1158/1538-7445.am2013-4543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The vast majority of cancer treatments currently administered to patients consist of combinations of more than one drug via routine infusions that adhere to specific dosing schedules. It is thought that this multi-arm and time dependent approach will kill not only the tumor cells within the primary site, but also any metastatic lesions, and importantly, any circulating tumor cells (CTCs) which may still exist in the blood. Combination therapies have also been developed as a means to reduce general cytotoxic side effects and prevent resistance and recurrence. Our labs have recently developed a high throughput screening platform to test compounds in pair-wise combinations to rapidly and systematically identify additive, synergistic and antagonistic drug combinations. This HTS capability can easily generate hundreds of dose response matrices in a single study and can increase significantly when applied to multiple cell lines. We are using this combination screening platform with in vitro models from both established cell lines and primary patient material, and we expect it will serve as a very valuable tool and a starting point when designing clinical trials after these combinations show promise within in vivo models. In a proof of concept study, we tested combinations of compounds that effectively kill 2 established lines of the ABC sub-type of diffuse large B-cell lymphoma (DLBCL); TMD8 and HBL1. We will present the infrastructure and methods that we have developed to implement the combination screens, visualize data from the combination dose response comparisons and numerically compare combinations in terms of their response matrices. We will also describe how this approach allows us to investigate putative polypharmacological effects that play a role in compound combination responses. Finally, we will show the results of a combination screen with TMD8 and HBL1 cells, including the identification of a novel drug-drug combination for the BTK inhibitor ibrutinib (PCI-32765) which is of both basic and translational interest for the treatment of DLBCL.
Citation Format: Lesley A. Mathews, Rajarshi Guha, Paul Shinn, Ryan M. Young, Kian-Huat Lim, Jonathan Keller, Dongbo Liu, Adam Yasgar, Crystal McKnight, Matthew B. Boxer, Damien Y. Duveau, Jian-kang Jiang, Sam Michael, Bryan T. Mott, Paresma R. Patel, William Leister, David J. Maloney, Christopher A. LeClair, Ganesha Rai, Ajit Jadhav, Brian D. Peyser, Christopher P. Austin, Scott Martin, Anton Simeonov, Marc Ferrer, Louis Staudt, Craig J. Thomas. High-throughput combination screening identifies novel drug-drug pairings for a Bruton's tyrosine kinase inhibitor against the ABC subtype of diffuse large B-cell lymphomas. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4543. doi:10.1158/1538-7445.AM2013-4543
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Affiliation(s)
- Lesley A. Mathews
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Rajarshi Guha
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Paul Shinn
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Ryan M. Young
- 2Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Kian-Huat Lim
- 2Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jonathan Keller
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Dongbo Liu
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Adam Yasgar
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Crystal McKnight
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Matthew B. Boxer
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Damien Y. Duveau
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Jian-kang Jiang
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Sam Michael
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Bryan T. Mott
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Paresma R. Patel
- 3SAIC-Frederick, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, MD
| | - William Leister
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - David J. Maloney
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Christopher A. LeClair
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Ganesha Rai
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Ajit Jadhav
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Brian D. Peyser
- 4Information Technology Branch, Developmental Therapeutics Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Christopher P. Austin
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Scott Martin
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Anton Simeonov
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Marc Ferrer
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
| | - Louis Staudt
- 2Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Craig J. Thomas
- 1Division of Preclinical Innovation, National Center for Advancing Transnational Sciences, National Institutes of Health, Rockville, MD
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Abstract
Background Human bone marrow derived mesenchymal stem cells (hMSCs) are capable of differentiation into multiple cell lineages and demonstrate a wide variety of use in various therapeutic applications. Only recently has research begun to understand the gene expression profiles of hMSCs and their differentiated counterparts in vivo and ex vivo. Purpose The research presented here aimed at gaining a better understanding of gene expression patterns present during hMSC invasion through a basement membrane. Methods Changes in gene expression were evaluated between invasive and non-invasive cells using Agilent’s gene expression arrays and Matrigel invasion chambers. The cells were specifically attracted to a defined stem cell media called SCM. Results A total 435 genes were up-regulated by 2- fold or more in the invasive population of cells and classified into developmental programs and immunological/inflammatory signaling pathways determined by Ingenuity Pathway Analysis (IPA). This list included a variety of regulators of growth and differentiation including NANOG, STAT3 and STAT5A and members of the polycomb repressive complex-2 (PCRC2) EZH2 and SUZ12. The known regulator of inflammation and hypoxia HIF-1α was also increased suggesting that regulation of the microenvironment is important during this process. Finally, the invasion process could be reversed using the STAT3 inhibitor Static. Conclusions Overall these data will increase the understanding of the genetic pathways functioning during hMSC invasion and aid in the development of their therapeutic applications.
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Affiliation(s)
- Lesley A Mathews
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Xiaohu Zhang
- Cancer Stem Cell Section, Laboratory of Cancer Prevention, Center for Cancer Research, Frederick National Laboratories, Frederick, MD 21702, USA
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Mathews LA, Keller JM, Goodwin BL, Guha R, Shinn P, Mull R, Thomas CJ, de Kluyver RL, Sayers TJ, Ferrer M. A 1536-well quantitative high-throughput screen to identify compounds targeting cancer stem cells. ACTA ACUST UNITED AC 2012; 17:1231-42. [PMID: 22927676 DOI: 10.1177/1087057112458152] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Tumor cell subpopulations called cancer stem cells (CSCs) or tumor-initiating cells (TICs) have self-renewal potential and are thought to drive metastasis and tumor formation. Data suggest that these cells are resistant to current chemotherapy and radiation therapy treatments, leading to cancer recurrence. Therefore, finding new drugs and/or drug combinations that cause death of both the differentiated tumor cells as well as CSC populations is a critical unmet medical need. Here, we describe how cancer-derived CSCs are generated from cancer cell lines using stem cell growth media and nonadherent conditions in quantities that enable high-throughput screening (HTS). A cell growth assay in a 1536-well microplate format was developed with these CSCs and used to screen a focused collection of oncology drugs and clinical candidates to find compounds that are cytotoxic against these highly aggressive cells. A hit selection process that included potency and efficacy measurements during the primary screen allowed us to efficiently identify compounds with potent cytotoxic effects against spheroid-derived CSCs. Overall, this research demonstrates one of the first miniaturized HTS assays using CSCs. The procedures described here should enable further testing of the effect of compounds on CSCs and help determine which pathways need to be targeted to kill them.
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Affiliation(s)
- Lesley A Mathews
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, MD 20850, USA.
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Yang Y, Shaffer AL, Emre NT, Ceribelli M, Zhang M, Wright G, Xiao W, Powell J, Platig J, Kohlhammer H, Young RM, Zhao H, Yang Y, Xu W, Buggy JJ, Balasubramanian S, Mathews LA, Shinn P, Guha R, Ferrer M, Thomas C, Waldmann TA, Staudt LM. Exploiting synthetic lethality for the therapy of ABC diffuse large B cell lymphoma. Cancer Cell 2012; 21:723-37. [PMID: 22698399 PMCID: PMC4059833 DOI: 10.1016/j.ccr.2012.05.024] [Citation(s) in RCA: 396] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2011] [Revised: 03/13/2012] [Accepted: 05/22/2012] [Indexed: 12/30/2022]
Abstract
Knowledge of oncogenic mutations can inspire therapeutic strategies that are synthetically lethal, affecting cancer cells while sparing normal cells. Lenalidomide is an active agent in the activated B cell-like (ABC) subtype of diffuse large B cell lymphoma (DLBCL), but its mechanism of action is unknown. Lenalidomide kills ABC DLBCL cells by augmenting interferon β (IFNβ) production, owing to the oncogenic MYD88 mutations in these lymphomas. In a cereblon-dependent fashion, lenalidomide downregulates IRF4 and SPIB, transcription factors that together prevent IFNβ production by repressing IRF7 and amplify prosurvival NF-κB signaling by transactivating CARD11. Blockade of B cell receptor signaling using the BTK inhibitor ibrutinib also downregulates IRF4 and consequently synergizes with lenalidomide in killing ABC DLBCLs, suggesting attractive therapeutic strategies.
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MESH Headings
- Adaptor Proteins, Signal Transducing
- Adenine/analogs & derivatives
- Animals
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Blotting, Western
- Cell Line, Tumor
- DNA-Binding Proteins/genetics
- DNA-Binding Proteins/metabolism
- Female
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic/drug effects
- Gene Regulatory Networks/drug effects
- Humans
- Interferon Regulatory Factors/genetics
- Interferon Regulatory Factors/metabolism
- Interferon-beta/genetics
- Interferon-beta/metabolism
- Interferon-beta/pharmacology
- Lenalidomide
- Lymphoma, Large B-Cell, Diffuse/drug therapy
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/pathology
- Mice
- Mice, Inbred NOD
- Mice, SCID
- NF-kappa B/genetics
- NF-kappa B/metabolism
- Peptide Hydrolases/genetics
- Peptide Hydrolases/metabolism
- Piperidines
- Pyrazoles/administration & dosage
- Pyrimidines/administration & dosage
- RNA Interference
- Reverse Transcriptase Polymerase Chain Reaction
- Signal Transduction/drug effects
- Thalidomide/administration & dosage
- Thalidomide/analogs & derivatives
- Transcription Factors/genetics
- Transcription Factors/metabolism
- Tumor Burden/drug effects
- Tumor Burden/genetics
- Ubiquitin-Protein Ligases
- Xenograft Model Antitumor Assays
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Affiliation(s)
- Yibin Yang
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Arthur L. Shaffer
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - N.C. Tolga Emre
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michele Ceribelli
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Meili Zhang
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - George Wright
- Biometric Research Branch, National Cancer Institute, Rockville, MD, USA
| | - Wenming Xiao
- Bioinformatics and Molecular Analysis Section, Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA
| | - John Powell
- Bioinformatics and Molecular Analysis Section, Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA
| | - John Platig
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- University of Maryland, Institute for Research in Electronics and Applied Physics. College Park, MD, USA
| | - Holger Kohlhammer
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ryan M. Young
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hong Zhao
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yandan Yang
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Weihong Xu
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Lesley A. Mathews
- National Center for Advancing Translational Sciences, Bethesda, MD, USA
| | - Paul Shinn
- National Center for Advancing Translational Sciences, Bethesda, MD, USA
| | - Rajarshi Guha
- National Center for Advancing Translational Sciences, Bethesda, MD, USA
| | - Marc Ferrer
- National Center for Advancing Translational Sciences, Bethesda, MD, USA
| | - Craig Thomas
- National Center for Advancing Translational Sciences, Bethesda, MD, USA
| | - Thomas A. Waldmann
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Louis M. Staudt
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Corresponding author: Louis M. Staudt, MD, PhD, 9000 Rockville Pike, Building 10, Room 4N114, Bethesda, MD 20892, 301-402-1892, Fax: 301-496-9956,
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Cabarcas SM, Mathews LA, Farrar WL. The cancer stem cell niche--there goes the neighborhood? Int J Cancer 2011; 129:2315-27. [PMID: 21792897 DOI: 10.1002/ijc.26312] [Citation(s) in RCA: 193] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2010] [Accepted: 03/07/2011] [Indexed: 12/11/2022]
Abstract
The niche is the environment in which stem cells reside and is responsible for the maintenance of unique stem cell properties such as self-renewal and an undifferentiated state. The heterogeneous populations which constitute a niche include both stem cells and surrounding differentiated cells. This network of heterogeneity is responsible for the control of the necessary pathways that function in determining stem cell fate. The concept that cancer stem cells, a subpopulation of cells responsible for tumor initiation and formation, reside in their own unique niche is quickly evolving and it is of importance to understand and identify the processes occurring within this environment. The necessary intrinsic pathways that are utilized by this cancer stem cell population to maintain both self-renewal and the ability to differentiate are believed to be a result of the environment where cancer stem cells reside. The ability of a specific cancer stem cell niche to provide the environment in which this population can flourish is a critical aspect of cancer biology that mandates intense investigation. This review focuses on current evidence demonstrating that homeostatic processes such as inflammation, epithelial to mesenchymal transition, hypoxia and angiogenesis contribute to the maintenance and control of cancer stem cell fate by providing the appropriate signals within the microenvironment. It is necessary to understand the key processes occurring within this highly specialized cancer stem cell niche to identify potential therapeutic targets that can serve as the basis for development of more effective anticancer treatments.
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Affiliation(s)
- Stephanie M Cabarcas
- Cancer Stem Cell Section, Laboratory of Cancer Prevention, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA
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Abstract
The existence of “tumor-initiating cells” (TICs) has been a topic of heated debate for the last few years within the field of cancer biology. Their continuous characterization in a variety of solid tumors has led to an abundance of evidence supporting their existence. TICs are believed to be responsible for resistance against conventional treatment regimes of chemotherapy and radiation, ultimately leading to metastasis and patient demise. This review summarizes DNA repair mechanism(s) and their role in the maintenance and regulation of stem cells. There is evidence supporting the hypothesis that TICs, similar to embryonic stem (ES) cells and hematopoietic stem cells (HSCs), display an increase in their ability to survive genotoxic stress and injury. Mechanistically, the ability of ES cells, HSCs and TICs to survive under stressful conditions can be attributed to an increase in the efficiency at which these cells undergo DNA repair. Furthermore, the data presented in this review summarize the results found by our lab and others demonstrating that TICs have an increase in their genomic stability, which can allow for TIC survival under conditions such as anticancer treatments, while the bulk population of tumor cells dies. We believe that these data will greatly impact the development and design of future therapies being engineered to target and eradicate this highly aggressive cancer cell population.
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Affiliation(s)
- Lesley A Mathews
- Cancer Stem Cell Section, Laboratory of Cancer Prevention, Center for Cancer Research, National Cancer Institute at Frederick, 1050 Boyles St., Building 560, Room 21-81, Frederick, MD 21702, USA
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9
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Crea F, Hurt EM, Mathews LA, Cabarcas SM, Sun L, Marquez VE, Danesi R, Farrar WL. Pharmacologic disruption of Polycomb Repressive Complex 2 inhibits tumorigenicity and tumor progression in prostate cancer. Mol Cancer 2011; 10:40. [PMID: 21501485 PMCID: PMC3100246 DOI: 10.1186/1476-4598-10-40] [Citation(s) in RCA: 131] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2010] [Accepted: 04/18/2011] [Indexed: 12/23/2022] Open
Abstract
Background Polycomb repressive complex 2 (PRC2) mediates gene silencing through histone H3K27 methylation. PRC2 components are over-expressed in metastatic prostate cancer (PC), and are required for cancer stem cell (CSC) self-renewal. 3-Dezaneplanocin-A (DZNeP) is an inhibitor of PRC2 with broad anticancer activity. Method we investigated the effects of DZNeP on cell proliferation, tumorigenicity and invasive potential of PC cell lines (LNCaP and DU145). Results Exploring GEO and Oncomine databases, we found that specific PRC2 genes (EED, EZH2, SUZ12) predict poor prognosis in PC. Non-toxic DZNeP concentrations completely eradicated LNCaP and DU145 prostatosphere formation, and significantly reduced the expression of CSC markers. At comparable doses, other epigenetic drugs were not able to eradicate CSCs. DZNeP was also able to reduce PC cell invasion. Cells pre-treated with DZNeP were significantly less tumorigenic (LNCaP) and formed smaller tumors (DU145) in immunocompromised mice. Conclusion DZNeP is effective both in vitro and in vivo against PC cells. DZNeP antitumor activity is in part mediated by inhibition of CSC tumorigenic potential.
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Affiliation(s)
- Francesco Crea
- Cancer Stem Cell Section, Laboratory of Cancer Prevention, National Cancer Institute at Frederick, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA
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10
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Abstract
Cancer stem cells are the sub-population of cells present within tumors responsible for tumorigenesis. These cells have unique biological properties including self-renewal and the ability to differentiate. Furthermore, it is thought that these cells are more resistant to conventional chemotherapy and, as a result, are responsible for patient relapse. We will discuss the identification of prostate cancer stem cells, their unique properties and how these cells may be targeted for more efficacious therapies.
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Affiliation(s)
- Francesco Crea
- Cancer Stem Cell Section, Laboratory of Cancer Prevention, Center for Cancer Research, National Cancer Institute at Frederick, National Institutes of Health, Frederick, Maryland, USA
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11
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Mathews LA, Hurt EM, Zhang X, Farrar WL. Epigenetic regulation of CpG promoter methylation in invasive prostate cancer cells. Mol Cancer 2010; 9:267. [PMID: 20929579 PMCID: PMC2958982 DOI: 10.1186/1476-4598-9-267] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2010] [Accepted: 10/07/2010] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Recently, much attention has been focused on gaining a better understanding of the different populations of cells within a tumor and their contribution to cancer progression. One of the most commonly used methods to isolate a more aggressive sub-population of cells utilizes cell sorting based on expression of certain cell adhesion molecules. A recently established method we developed is to isolate these more aggressive cells based on their properties of increased invasive ability. These more invasive cells have been previously characterized as tumor initiating cells (TICs) that have a stem-like genomic signature and express a number of stem cell genes including Oct3/4 and Nanog and are more tumorigenic compared to their 'non-invasive' counterpart. They also have a profile reminiscent of cells undergoing a classic pattern of epithelial to mesenchymal transition or EMT. Using this model of invasion, we sought to investigate which genes are under epigenetic control in this rare population of cells. Epigenetic modifications, specifically DNA methylation, are key events regulating the process of normal human development. To determine the specific methylation pattern in these invasive prostate cells, and if any developmental genes were being differentially regulated, we analyzed differences in global CpG promoter methylation. RESULTS Differentially methylated genes were determined and select genes were chosen for additional analyses. The non-receptor tyrosine kinase BMX and transcription factor SOX1 were found to play a significant role in invasion. Ingenuity pathway analysis revealed the methylated gene list frequently displayed genes from the IL-6/STAT3 pathway. Cells which have decreased levels of the targets BMX and SOX1 also display loss of STAT3 activity. Finally, using Oncomine, it was determined that more aggressive metastatic prostate cancers in humans also have higher levels of both Stat3 and Sox1. CONCLUSIONS Using this method we can begin to understand which genes are epigenetically regulated in the invasive population compared to the bulk tumor cells. These aggressive sub-populations of cells may be linked to the cancer stem cell hypothesis, making their patterns of epigenetic regulation very attractive for biomarker analysis.
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Affiliation(s)
- Lesley A Mathews
- Cancer Stem Cell Section, Laboratory of Cancer Prevention, Center for Cancer Research, National Cancer Institute at Frederick, Frederick, MD 21702, USA
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Klarmann GJ, Hurt EM, Mathews LA, Zhang X, Duhagon MA, Mistree T, Thomas SB, Farrar WL. Invasive prostate cancer cells are tumor initiating cells that have a stem cell-like genomic signature. Clin Exp Metastasis 2009; 26:433-46. [PMID: 19221883 DOI: 10.1007/s10585-009-9242-2] [Citation(s) in RCA: 141] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2008] [Accepted: 01/24/2009] [Indexed: 12/12/2022]
Abstract
Development of metastasis is a leading cause of cancer-induced death. Acquisition of an invasive tumor cell phenotype suggests loss of cell adhesion and basement membrane breakdown during a process termed epithelial-to-mesenchymal transition (EMT). Recently, cancer stem cells (CSC) were discovered to mediate solid tumor initiation and progression. Prostate CSCs are a subpopulation of CD44(+) cells within the tumor that give rise to differentiated tumor cells and also self-renew. Using both primary and established prostate cancer cell lines, we tested the assumption that CSCs are more invasive. The ability of unsorted cells and CD44-positive and -negative subpopulations to undergo Matrigel invasion and EMT was evaluated, and the gene expression profiles of these cells were analyzed by microarray and a subset confirmed using QRT-PCR. Our data reveal that a subpopulation of CD44(+) CSC-like cells invade Matrigel through an EMT, while in contrast, CD44(-) cells are non-invasive. Furthermore, the genomic profile of the invasive cells closely resembles that of CD44(+)CD24(-) prostate CSCs and shows evidence for increased Hedgehog signaling. Finally, invasive cells from DU145 and primary prostate cancer cells are more tumorigenic in NOD/SCID mice compared with non-invasive cells. Our data strongly suggest that basement membrane invasion, an early and necessary step in metastasis development, is mediated by these potential cancer stem cells.
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Affiliation(s)
- George J Klarmann
- Cancer Stem Cell Section, Laboratory of Cancer Prevention, SAIC-Frederick Inc., National Cancer Institute at Frederick, Frederick, MD 21702, USA
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Lu S, Becker KA, Hagen MJ, Yan H, Roberts AL, Mathews LA, Schneider SS, Siegelmann HT, MacBeth KJ, Tirrell SM, Blanchard JL, Jerry DJ. Transcriptional responses to estrogen and progesterone in mammary gland identify networks regulating p53 activity. Endocrinology 2008; 149:4809-20. [PMID: 18556351 PMCID: PMC2582927 DOI: 10.1210/en.2008-0035] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Estrogen and progestins are essential for mammary growth and differentiation but also enhance the activity of the p53 tumor suppressor protein in the mammary epithelium. However, the pathways by which these hormones regulate p53 activity are unknown. Microarrays were used to profile the transcriptional changes within the mammary gland after administration of either vehicle, 17beta-estradiol (E), or progesterone (P) individually and combined (EP). Treatment with EP yielded 1182 unique genes that were differentially expressed compared to the vehicle-treated group. Although 30% of genes were responsive to either E or P individually, combined treatment with both EP had a synergistic effect accounting for 60% of the differentially regulated genes. Analysis of protein-protein interactions identified p53, RelA, Snw1, and Igfals as common targets of genes regulated by EP. RelA and p53 form hubs within a network connected by genes that are regulated by EP and that may coordinate the competing functions of RelA and p53 in proliferation and survival of cells. Induction of early growth response 1 (Egr1) and Stratifin (Sfn) (also known as 14-3-3sigma) by EP was confirmed by reverse transcription-quantitative PCR and shown to be p53 independent. In luciferase reporter assays, Egr1 was shown to enhance transcriptional activation by p53 and inhibit nuclear factor kappaB activity. These results identify a gene expression network that provides redundant activation of RelA to support proliferation as well as sensitize p53 to ensure proper surveillance and integration of their competing functions through factors such as Egr1, which both enhance p53 and inhibit RelA.
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Affiliation(s)
- Shaolei Lu
- Department of Veterinary and Animal Sciences, 161 Holdsworth Way, Paige Laboratory, University of Massachusetts, Amherst, Massachusetts 01003, USA
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Bigelow JC, Chrin LR, Mathews LA, McCormick JJ. High-performance liquid chromatographic analysis of phosphorothioate analogues of oligodeoxynucleotides in biological fluids. J Chromatogr 1990; 533:133-40. [PMID: 2081759 DOI: 10.1016/s0378-4347(00)82193-3] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Phosphorothioate oligodeoxynucleotides (S-ODNs) have potential as anti-viral agents and are being investigated for the chemotherapy of AIDS. A high-performance liquid chromatographic method is described for the analysis, in urine and plasma, of a 28-unit deoxycytidine homopolymer (S-dC28) and a 28-unit S-ODN "antisense" to the rev gene of the human immunodeficiency virus. This method employs ion-pairing HPLC with a polymeric column. Tetrabutylammonium is used as the ion-pairing agent in a mobile phase of acetonitrile in pH 7.0 phosphate buffer. Analysis of the S-ODNs is relatively rapid (20 min) and sensitive (20 nm) and is accomplished by a gradient elution (22.5-30.0% acetonitrile) followed by ultraviolet (266 or 272 nm) absorption detection. This method is likely applicable, with appropriate modifications, to all S-ODNs of similar molecular weight regardless of sequence. The S-ODNs bind very strongly to plasma proteins but are readily prepared for analysis by a phenol extraction procedure. In a preliminary pharmacokinetic study in mice with S-dC28, very rapid elimination of the oligomer from plasma was observed (half-time, 11.6 min). Estimates for the apparent volume of distribution and total body clearance were 3 ml and 0.2 ml/min, respectively. It appears that the majority of the oligomer is eliminated by renal clearance (glomerular filtration), a property likely shared by all S-ODNs of similar molecular mass.
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Affiliation(s)
- J C Bigelow
- Department of Pharmacology, University of Vermont, Burlington 05405
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Branda RF, McCormack JJ, Perlmutter CA, Mathews LA, Robison SH. Effects of folate deficiency on the metastatic potential of murine melanoma cells. Cancer Res 1988; 48:4529-34. [PMID: 3396005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Experiments were designed to measure the effect of folic acid deficiency on a major determinant of cancer lethality, the propensity to form metastases. Murine B16 melanoma cells (F10 strain) were grown in folate-deficient and -supplemented media. After 3 days, cells in the deficient medium had restricted proliferative capacity, low folate levels by bioassay, increased cell volume, abnormal deoxyuridine suppression tests, accumulation of cells in S phase by flow cytometry, and increased numbers of DNA strand breaks. These folate-deficient cells consistently initiated more pulmonary metastases than control cells when injected into host mice. Cell size did not appear to be a major factor in pulmonary metastasis formation. In vitro growth rates and cloning efficiencies were comparable for cells in both types of medium as was subcutaneous growth of tumors. We conclude that folate deficiency increases the metastatic potential of cultured melanoma cells.
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Affiliation(s)
- R F Branda
- Department of Medicine, University of Vermont, Burlington 05405
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