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Dang DD, Rosenblum JS, Shah AH, Zhuang Z, Doucet-O’Hare TT. Epigenetic Regulation in Primary CNS Tumors: An Opportunity to Bridge Old and New WHO Classifications. Cancers (Basel) 2023; 15:2511. [PMID: 37173979 PMCID: PMC10177493 DOI: 10.3390/cancers15092511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/22/2023] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
Originally approved in 1979, a specific grading classification for central nervous system (CNS) tumors was devised by the World Health Organization (WHO) in an effort to guide cancer treatment and better understand prognosis. These "blue books" have since undergone several iterations based on tumor location, advancements in histopathology, and most recently, diagnostic molecular pathology in its fifth edition. As new research methods have evolved to elucidate complex molecular mechanisms of tumorigenesis, a need to update and integrate these findings into the WHO grading scheme has become apparent. Epigenetic tools represent an area of burgeoning interest that encompasses all non-Mendelian inherited genetic features affecting gene expression, including but not limited to chromatin remodeling complexes, DNA methylation, and histone regulating enzymes. The SWItch/Sucrose non-fermenting (SWI/SNF) chromatin remodeling complex is the largest mammalian family of chromatin remodeling proteins and is estimated to be altered in 20-25% of all human malignancies; however, the ways in which it contributes to tumorigenesis are not fully understood. We recently discovered that CNS tumors with SWI/SNF mutations have revealed an oncogenic role for endogenous retroviruses (ERVs), remnants of exogenous retroviruses that integrated into the germline and are inherited like Mendelian genes, several of which retain open reading frames for proteins whose expression putatively contributes to tumor formation. Herein, we analyzed the latest WHO classification scheme for all CNS tumors with documented SWI/SNF mutations and/or aberrant ERV expression, and we summarize this information to highlight potential research opportunities that could be integrated into the grading scheme to better delineate diagnostic criteria and therapeutic targets.
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Affiliation(s)
- Danielle D. Dang
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jared S. Rosenblum
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ashish H. Shah
- Section of Virology and Immunotherapy, Department of Neurosurgery, Leonard M. Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Zhengping Zhuang
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Tara T. Doucet-O’Hare
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
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Guo Y, Yu Y, Wang GG. Polycomb Repressive Complex 2 in Oncology. Cancer Treat Res 2023; 190:273-320. [PMID: 38113005 DOI: 10.1007/978-3-031-45654-1_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Dynamic regulation of the chromatin state by Polycomb Repressive Complex 2 (PRC2) provides an important mean for epigenetic gene control that can profoundly influence normal development and cell lineage specification. PRC2 and PRC2-induced methylation of histone H3 lysine 27 (H3K27) are critically involved in a wide range of DNA-templated processes, which at least include transcriptional repression and gene imprinting, organization of three-dimensional chromatin structure, DNA replication and DNA damage response and repair. PRC2-based genome regulation often goes wrong in diseases, notably cancer. This chapter discusses about different modes-of-action through which PRC2 and EZH2, a catalytic subunit of PRC2, mediate (epi)genomic and transcriptomic regulation. We will also discuss about how alteration or mutation of the PRC2 core or axillary component promotes oncogenesis, how post-translational modification regulates functionality of EZH2 and PRC2, and how PRC2 and other epigenetic pathways crosstalk. Lastly, we will briefly touch on advances in targeting EZH2 and PRC2 dependence as cancer therapeutics.
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Affiliation(s)
- Yiran Guo
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA.
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
| | - Yao Yu
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Gang Greg Wang
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA.
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
- Department of Pathology, Duke University School of Medicine, Durham, NC, 27710, USA.
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Hong J, Lee JH, Zhang Z, Wu Y, Yang M, Liao Y, de la Rosa R, Scheirer J, Pechacek D, Zhang N, Xu Z, Curiel T, Tan X, Huang THM, Xu K. PRC2-Mediated Epigenetic Suppression of Type I IFN-STAT2 Signaling Impairs Antitumor Immunity in Luminal Breast Cancer. Cancer Res 2022; 82:4624-4640. [PMID: 36222718 PMCID: PMC9772098 DOI: 10.1158/0008-5472.can-22-0736] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 09/03/2022] [Accepted: 10/10/2022] [Indexed: 01/24/2023]
Abstract
The immunosuppressive tumor microenvironment in some cancer types, such as luminal breast cancer, supports tumor growth and limits therapeutic efficacy. Identifying approaches to induce an immunostimulatory environment could help improve cancer treatment. Here, we demonstrate that inhibition of cancer-intrinsic EZH2 promotes antitumor immunity in estrogen receptor α-positive (ERα+) breast cancer. EZH2 is a component of the polycomb-repressive complex 2 (PRC2) complex, which catalyzes trimethylation of histone H3 at lysine 27 (H3K27me3). A 53-gene PRC2 activity signature was closely associated with the immune responses of ERα+ breast cancer cells. The stimulatory effects of EZH2 inhibition on immune surveillance required specific activation of type I IFN signaling. Integrative analysis of PRC2-repressed genes and genome-wide H3K27me3 landscape revealed that type I IFN ligands are epigenetically silenced by H3K27me3. Notably, the transcription factor STAT2, but not STAT1, mediated the immunostimulatory functions of type I IFN signaling. Following EZH2 inhibition, STAT2 was recruited to the promoters of IFN-stimulated genes even in the absence of the cytokines, suggesting the formation of an autocrine IFN-STAT2 axis. In patients with luminal breast cancer, high levels of EZH2 and low levels of STAT2 were associated with the worst antitumor immune responses. Collectively, this work paves the way for the development of an effective therapeutic strategy that may reverse immunosuppression in cancer. SIGNIFICANCE Inhibition of EZH2 activates a type I IFN-STAT2 signaling axis and provides a therapeutic strategy to stimulate antitumor immunity and therapy responsiveness in immunologically cold luminal breast cancer.
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Affiliation(s)
- Juyeong Hong
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Ji Hoon Lee
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Zhao Zhang
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Yanming Wu
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Mei Yang
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Yiji Liao
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Richard de la Rosa
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Jessica Scheirer
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Douglas Pechacek
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Nu Zhang
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Zhenming Xu
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Tyler Curiel
- Department of Medicine, The Mays Cancer Center, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Xi Tan
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Tim H-M Huang
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Kexin Xu
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA,Corresponding author: Kexin Xu, Ph.D. Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229. Phone: 210-562-4148; Fax: 210-562-4161;
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Yang L, Liu X, Huang X, Li N, Zhang L, Yan H, Hou X, Wang L, Wang L. Integrated Proteotranscriptomics Reveals Differences in Molecular Immunity between Min and Large White Pig Breeds. BIOLOGY 2022; 11:biology11121708. [PMID: 36552219 PMCID: PMC9775064 DOI: 10.3390/biology11121708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 11/11/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022]
Abstract
Long-term selection or evolution is an important factor governing the development of disease resistance in pigs. To better clarify the molecular mechanisms underlying different levels of disease resistance, we used transcriptomics and proteomics analysis to characterize differences in the immunities between six resistant (Min pig) and six susceptible (Large White, LW) pigs which were raised in the same environment. A total of 135 proteins and 791 genes were identified as being differentially expressed between the Large White and Min pig groups. Protein expression clustering and functional analysis revealed that proteins related to immune system process, humoral immune response, the B cell receptor signaling pathway, lymphocyte-mediated immunity, and innate immune responses were more highly expressed in Min pigs. Transcriptome gene set enrichment analysis was used to reveal that pathways of cell adhesion molecules and antigen processing and presentation are significantly enriched in Min pigs. Integrated proteomics and transcriptomics data analysis identified 16 genes that are differentially expressed at both the mRNA and protein levels. In addition, 13 out of these 16 genes were related to the quantitative trait loci of immune diseases, including neural EGFL-like 2 (NELL2) and lactate dehydrogenase B (LDHB), which are involved in innate immunity. Correlation analysis between the genes/proteins and cytokines shows upregulated proteins in LW pigs in association with immunosuppressive/pro-inflammatory cytokines, such as interleukin (IL) 10, IL6, and tumor necrosis factor alpha. This was further validated using parallel reaction monitoring analysis. In summary, we discovered several potential candidate pathways and key genes/proteins involved in determining differences in disease resistance between the two studied pig breeds, which could provide new insights into the breeding of pigs for disease resistance.
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Affiliation(s)
- Liyu Yang
- Key Laboratory of Farm Animal Genetic Resources and Germplasm Innovation of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xin Liu
- Key Laboratory of Farm Animal Genetic Resources and Germplasm Innovation of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xiaoyu Huang
- Key Laboratory of Farm Animal Genetic Resources and Germplasm Innovation of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- College of Animal Sciences, Shanxi Agricultural University, Taigu 030800, China
| | - Na Li
- Jilin Academy of Agricultural Sciences, Changchun 130033, China
| | - Longchao Zhang
- Key Laboratory of Farm Animal Genetic Resources and Germplasm Innovation of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Hua Yan
- Key Laboratory of Farm Animal Genetic Resources and Germplasm Innovation of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xinhua Hou
- Key Laboratory of Farm Animal Genetic Resources and Germplasm Innovation of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lixian Wang
- Key Laboratory of Farm Animal Genetic Resources and Germplasm Innovation of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Correspondence: (L.W.); (L.W.)
| | - Ligang Wang
- Key Laboratory of Farm Animal Genetic Resources and Germplasm Innovation of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Correspondence: (L.W.); (L.W.)
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Porter RL, Sun S, Flores MN, Berzolla E, You E, Phillips IE, KC N, Desai N, Tai EC, Szabolcs A, Lang ER, Pankaj A, Raabe MJ, Thapar V, Xu KH, Nieman LT, Rabe DC, Kolin DL, Stover EH, Pepin D, Stott SL, Deshpande V, Liu JF, Solovyov A, Matulonis UA, Greenbaum BD, Ting DT. Satellite repeat RNA expression in epithelial ovarian cancer associates with a tumor-immunosuppressive phenotype. J Clin Invest 2022; 132:e155931. [PMID: 35708912 PMCID: PMC9374379 DOI: 10.1172/jci155931] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 06/14/2022] [Indexed: 11/17/2022] Open
Abstract
Aberrant expression of viral-like repeat elements is a common feature of epithelial cancers, and the substantial diversity of repeat species provides a distinct view of the cancer transcriptome. Repeatome profiling across ovarian, pancreatic, and colorectal cell lines identifies distinct clustering independent of tissue origin that is seen with coding gene analysis. Deeper analysis of ovarian cancer cell lines demonstrated that human satellite II (HSATII) satellite repeat expression was highly associated with epithelial-mesenchymal transition (EMT) and anticorrelated with IFN-response genes indicative of a more aggressive phenotype. SATII expression - and its correlation with EMT and anticorrelation with IFN-response genes - was also found in ovarian cancer RNA-Seq data and was associated with significantly shorter survival in a second independent cohort of patients with ovarian cancer. Repeat RNAs were enriched in tumor-derived extracellular vesicles capable of stimulating monocyte-derived macrophages, demonstrating a mechanism that alters the tumor microenvironment with these viral-like sequences. Targeting of HSATII with antisense locked nucleic acids stimulated IFN response and induced MHC I expression in ovarian cancer cell lines, highlighting a potential strategy of modulating the repeatome to reestablish antitumor cell immune surveillance.
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Affiliation(s)
- Rebecca L. Porter
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Siyu Sun
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Micayla N. Flores
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Emily Berzolla
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Eunae You
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Ildiko E. Phillips
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Neelima KC
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Niyati Desai
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Eric C. Tai
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Annamaria Szabolcs
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Evan R. Lang
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Amaya Pankaj
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
- Department of Surgery, Massachusetts General Hospital
| | - Michael J. Raabe
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Vishal Thapar
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Katherine H. Xu
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Linda T. Nieman
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Daniel C. Rabe
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - David L. Kolin
- Department of Pathology, Brigham and Women’s Hospital, and
| | - Elizabeth H. Stover
- Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - David Pepin
- Department of Surgery, Massachusetts General Hospital
| | - Shannon L. Stott
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
| | - Vikram Deshpande
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joyce F. Liu
- Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Alexander Solovyov
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Ursula A. Matulonis
- Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Benjamin D. Greenbaum
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - David T. Ting
- Mass General Cancer Center, Harvard Medical School, Charlestown, Massachusetts, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Chu S, Shi X, Tian Y, Gao F. pH-Responsive Polymer Nanomaterials for Tumor Therapy. Front Oncol 2022; 12:855019. [PMID: 35392227 PMCID: PMC8980858 DOI: 10.3389/fonc.2022.855019] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 02/24/2022] [Indexed: 12/24/2022] Open
Abstract
The complexity of the tumor microenvironment presents significant challenges to cancer therapy, while providing opportunities for targeted drug delivery. Using characteristic signals of the tumor microenvironment, various stimuli-responsive drug delivery systems can be constructed for targeted drug delivery to tumor sites. Among these, the pH is frequently utilized, owing to the pH of the tumor microenvironment being lower than that of blood and healthy tissues. pH-responsive polymer carriers can improve the efficiency of drug delivery in vivo, allow targeted drug delivery, and reduce adverse drug reactions, enabling multifunctional and personalized treatment. pH-responsive polymers have gained increasing interest due to their advantageous properties and potential for applicability in tumor therapy. In this review, recent advances in, and common applications of, pH-responsive polymer nanomaterials for drug delivery in cancer therapy are summarized, with a focus on the different types of pH-responsive polymers. Moreover, the challenges and future applications in this field are prospected.
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Affiliation(s)
- Shunli Chu
- Department of Implantology, Hospital of Stomatology, Jilin University, Changchun, China
| | - Xiaolu Shi
- Department of Implantology, Hospital of Stomatology, Jilin University, Changchun, China
| | - Ye Tian
- Department of Implantology, Hospital of Stomatology, Jilin University, Changchun, China
| | - Fengxiang Gao
- Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, China
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Huang JL, Chen SY, Lin CS. Targeting Cancer Stem Cells through Epigenetic Modulation of Interferon Response. J Pers Med 2022; 12:jpm12040556. [PMID: 35455671 PMCID: PMC9027081 DOI: 10.3390/jpm12040556] [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: 03/04/2022] [Revised: 03/26/2022] [Accepted: 03/30/2022] [Indexed: 12/12/2022] Open
Abstract
Cancer stem cells (CSCs) are a small subset of cancer cells and are thought to play a critical role in the initiation and maintenance of tumor mass. CSCs exhibit similar hallmarks to normal stem cells, such as self-renewal, differentiation, and homeostasis. In addition, CSCs are equipped with several features so as to evade anticancer mechanisms. Therefore, it is hard to eliminate CSCs by conventional anticancer therapeutics that are effective at clearing bulk cancer cells. Interferons are innate cytokines and are the key players in immune surveillance to respond to invaded pathogens. Interferons are also crucial for adaptive immunity for the killing of specific aliens including cancer cells. However, CSCs usually evolve to escape from interferon-mediated immune surveillance and to shape the niche as a “cold” tumor microenvironment (TME). These CSC characteristics are related to their unique epigenetic regulations that are different from those of normal and bulk cancer cells. In this review, we introduce the roles of epigenetic modifiers, focusing on LSD1, BMI1, G9a, and SETDB1, in contributing to CSC characteristics and discussing the interplay between CSCs and interferon response. We also discuss the emerging strategy for eradicating CSCs by targeting these epigenetic modifiers, which can elevate cytosolic nuclei acids, trigger interferon response, and reshape a “hot” TME for improving cancer immunotherapy. The key epigenetic and immune genes involved in this crosstalk can be used as biomarkers for precision oncology.
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Affiliation(s)
- Jau-Ling Huang
- Department of Bioscience Technology, College of Health Science, Chang Jung Christian University, Tainan 711, Taiwan;
| | - Si-Yun Chen
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
| | - Chang-Shen Lin
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
- Center for Cancer Research, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department of Biological Sciences, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Correspondence:
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Retinoblastoma Cell Growth In Vitro and Tumor Formation In Ovo—Influence of Different Culture Conditions. Methods Protoc 2022; 5:mps5020021. [PMID: 35314658 PMCID: PMC8938814 DOI: 10.3390/mps5020021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 02/23/2022] [Accepted: 02/26/2022] [Indexed: 12/26/2022] Open
Abstract
Retinoblastoma (RB) is a primary intraocular malignancy in childhood. Relapses may develop and cause secondary cancers during later development. This study was set up to identify optimal cell culture conditions for RB cell growth in vitro and to optimize tumor growth in an in vivo model. RB cell lines (Y79 and WERI-Rb1) were cultivated under three different in vitro conditions and apoptosis, proliferation and cell growth, as well as expression profiles of two epithelial-mesenchymal transition (EMT) markers, were analyzed. EMT gene expression profiles were not generally changed, whereas apoptosis levels, tumor cell proliferation, and in vitro growth were significantly influenced by different cell culture conditions. In order to optimize the time-limited chick chorioallantoic membrane (CAM) assay, we investigated two different time points of tumor cell inoculation (embryonic development day EDD8 and EDD10) as well as three different cell concentrations. We showed that inoculation at EDD8 led to decreased tumor formation and chicken viability, whereas different cell concentrations did not change size and weight of developing tumors. Our findings demonstrate that medium conditions in vitro as well as the starting point for CAM inoculation in ovo significantly influence the experimental outcome of investigations using RB cell lines.
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