1
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Mi R, Wang Q, Liu Q, Jiang F, Ji Y. Expression and prognosis analysis of TBX2 subfamily in human lung carcinoma. Discov Oncol 2024; 15:51. [PMID: 38413457 PMCID: PMC10899548 DOI: 10.1007/s12672-024-00900-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 02/20/2024] [Indexed: 02/29/2024] Open
Abstract
PURPOSE Lung cancer has a high morbidity and mortality rate of all cancers worldwide. Therefore, there is an urgent need for reliable cancer markers for diagnosis and prognosis of patients with lung cancer. METHODS In this study, we used the bioinformatics database to compare the expression of the TBX2 subfamily at the transcriptional and protein levels in non-small cell lung cancer. Then, to confirm our bioinformatics analysis above, we used western bloting to determine the expression of TBX2, TBX3, TBX4 and TBX5 in human lung squamous carcinoma cell lines. Besides, low expression of TBX2 subfamily predicted a poor prognosis of patients with lung cancer. Finally, The methylation database was used to explore the relationship between the low expression of TBX2 subfamily and methylation of gene promoter region. RESULTS Our data showed a significant decrease of TBX2 subfamily expression in lung cancer tissues of several histological subtypes. Finally, the methylation of TBX2 subfamily members in the promoter region of NSCLC was significantly higher than that in normal tissues. CONCLUSION Our research provided sufficient evidence that TBX2 subfamily might play an inhibitory role in malignancy progression of lung cancer, which is promising to shed light on discovering a novel reliable cancer marker for prognosis of lung cancer patients.
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Affiliation(s)
- Rui Mi
- Department of Clinical Laboratory, Wuxi 9Th People's Hospital Affiliated to Soochow University, No.999 Liang Xi Road, Binhu District, Wuxi, 214000, Jiangsu, China
| | - Qiubo Wang
- Department of Clinical Laboratory, Wuxi 9Th People's Hospital Affiliated to Soochow University, No.999 Liang Xi Road, Binhu District, Wuxi, 214000, Jiangsu, China
| | - Qingyang Liu
- Department of Clinical Laboratory, Wuxi 9Th People's Hospital Affiliated to Soochow University, No.999 Liang Xi Road, Binhu District, Wuxi, 214000, Jiangsu, China
| | - Fengying Jiang
- Department of Clinical Laboratory, Wuxi 9Th People's Hospital Affiliated to Soochow University, No.999 Liang Xi Road, Binhu District, Wuxi, 214000, Jiangsu, China
| | - Yuan Ji
- School of Medicine, Soochow University, Suzhou, 215123, Jiangsu, People's Republic of China.
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2
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Balraj AS, Muthamilselvan S, Raja R, Palaniappan A. PRADclass: Hybrid Gleason Grade-Informed Computational Strategy Identifies Consensus Biomarker Features Predictive of Aggressive Prostate Adenocarcinoma. Technol Cancer Res Treat 2024; 23:15330338231222389. [PMID: 38226611 PMCID: PMC10793196 DOI: 10.1177/15330338231222389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/18/2023] [Accepted: 12/06/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND Prostate adenocarcinoma (PRAD) is a common cancer diagnosis among men globally, yet large gaps in our knowledge persist with respect to the molecular bases of its progression and aggression. It is mostly indolent and slow-growing, but aggressive prostate cancers need to be recognized early for optimising treatment, with a view to reducing mortality. METHODS Based on TCGA transcriptomic data pertaining to PRAD and the associated clinical metadata, we determined the sample Gleason grade, and used it to execute: (i) Gleason-grade wise linear modeling, followed by five contrasts against controls and ten contrasts between grades; and (ii) Gleason-grade wise network modeling via weighted gene correlation network analysis (WGCNA). Candidate biomarkers were obtained from the above analysis and the consensus found. The consensus biomarkers were used as the feature space to train ML models for classifying a sample as benign, indolent or aggressive. RESULTS The statistical modeling yielded 77 Gleason grade-salient genes while the WGCNA algorithm yielded 1003 trait-specific key genes in grade-wise significant modules. Consensus analysis of the two approaches identified two genes in Grade-1 (SLC43A1 and PHGR1), 26 genes in Grade-4 (including LOC100128675, PPP1R3C, NECAB1, UBXN10, SERPINA5, CLU, RASL12, DGKG, FHL1, NCAM1, and CEND1), and seven genes in Grade-5 (CBX2, DPYS, FAM72B, SHCBP1, TMEM132A, TPX2, UBE2C). A RandomForest model trained and optimized on these 35 biomarkers for the ternary classification problem yielded a balanced accuracy ∼ 86% on external validation. CONCLUSIONS The consensus of multiple parallel computational strategies has unmasked candidate Gleason grade-specific biomarkers. PRADclass, a validated AI model featurizing these biomarkers achieved good performance, and could be trialed to predict the differentiation of prostate cancers. PRADclass is available for academic use at: https://apalania.shinyapps.io/pradclass (online) and https://github.com/apalania/pradclass (command-line interface).
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Affiliation(s)
- Alex Stanley Balraj
- Department of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, India
| | - Sangeetha Muthamilselvan
- Department of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, India
| | - Rachanaa Raja
- Department of Pharmaceutical Technology, UCE, Anna University (BIT campus), Trichy, India
| | - Ashok Palaniappan
- Department of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, India
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3
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Manzar N, Ganguly P, Khan UK, Ateeq B. Transcription networks rewire gene repertoire to coordinate cellular reprograming in prostate cancer. Semin Cancer Biol 2023; 89:76-91. [PMID: 36702449 DOI: 10.1016/j.semcancer.2023.01.004] [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: 10/03/2022] [Revised: 01/04/2023] [Accepted: 01/18/2023] [Indexed: 01/24/2023]
Abstract
Transcription factors (TFs) represent the most commonly deregulated DNA-binding class of proteins associated with multiple human cancers. They can act as transcriptional activators or repressors that rewire the cistrome, resulting in cellular reprogramming during cancer progression. Deregulation of TFs is associated with the onset and maintenance of various cancer types including prostate cancer. An emerging subset of TFs has been implicated in the regulation of multiple cancer hallmarks during tumorigenesis. Here, we discuss the role of key TFs which modulate transcriptional cicuitries involved in the development and progression of prostate cancer. We further highlight the role of TFs associated with key cancer hallmarks, including, chromatin remodeling, genome instability, DNA repair, invasion, and metastasis. We also discuss the pluripotent function of TFs in conferring lineage plasticity, that aids in disease progression to neuroendocrine prostate cancer. At the end, we summarize the current understanding and approaches employed for the therapeutic targeting of TFs and their cofactors in the clinical setups to prevent disease progression.
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Affiliation(s)
- Nishat Manzar
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur 208016, UP, India
| | - Promit Ganguly
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur 208016, UP, India
| | - Umar Khalid Khan
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur 208016, UP, India
| | - Bushra Ateeq
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur 208016, UP, India; Mehta Family Center for Engineering in Medicine, Indian Institute of Technology Kanpur, Kanpur 208016, India.
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4
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Niu G, Hao J, Sheng S, Wen F. Role of T-box genes in cancer, epithelial-mesenchymal transition, and cancer stem cells. J Cell Biochem 2021; 123:215-230. [PMID: 34897787 DOI: 10.1002/jcb.30188] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 11/08/2021] [Accepted: 11/11/2021] [Indexed: 12/13/2022]
Abstract
Sharing a common DNA binding motif called T-box, transcription factor T-box gene family controls embryonic development and is also involved in cancer progression and metastasis. Cancer metastasis shows therapy resistance and involves complex processes. Among them, epithelial-mesenchymal transition (EMT) triggers cancer cell invasiveness and the acquisition of stemness of cancer cells, called cancer stem cells (CSCs). CSCs are a small fraction of tumor bulk and are capable of self-renewal and tumorsphere formation. Recent progress has highlighted the critical roles of T-box genes in cancer progression, EMT, and CSC function, and such regulatory functions of T-box genes have emerged as potential therapeutic candidates for cancer. Herein we summarize the current understanding of the regulatory mechanisms of T-box genes in cancer, EMT, and CSCs, and discuss the implications of targeting T-box genes as anticancer therapeutics.
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Affiliation(s)
- Gengle Niu
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, USA
| | - Jin Hao
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, USA
| | - Surui Sheng
- Department of Oral and Maxillofacial-Head Neck Oncology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fangyuan Wen
- Department of Outpatient, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.,Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
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5
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Fan M, Arai M, Tawada A, Chiba T, Fukushima R, Uzawa K, Shiiba M, Kato N, Tanzawa H, Takiguchi Y. Contrasting functions of the epithelial‑stromal interaction 1 gene, in human oral and lung squamous cell cancers. Oncol Rep 2021; 47:5. [PMID: 34738627 PMCID: PMC8600417 DOI: 10.3892/or.2021.8216] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 12/23/2020] [Indexed: 12/17/2022] Open
Abstract
The epithelial‑stromal interaction 1 gene (EPSTI1) is known to play multiple roles in the malignant progression of breast cancer and also in some aspects of the immune responses to the tumor. However, the relevance of the gene in the onset/progression of oral squamous cell carcinoma (OSCC) and lung squamous cell carcinoma (LSCC) is not yet known. The present study was aimed at revealing the roles of EPSTI1 in conferring malignant characteristics to OSCC and LSCC, and the underlying mechanisms. Quantitative real‑time polymerase chain reaction (PCR) and western blot analyses demonstrated significant upregulation of EPSTI1 in all four OSCC cell lines (HSC2, HSC3, HSC3‑M3 and HSC4), and significant downregulation of EPST11 in all three LSCC cell lines (LK‑2, EBC‑1 and H226) used in the present study, as compared to the expression levels in the corresponding control cell lines. Both knockdown of EPST11 in OSCC and overexpression of the gene in LSCC suppressed cell proliferation, and induced cell‑cycle arrest in the G1 phase, with upregulation of p21 and downregulation of CDK2 and cyclin D1. Furthermore, these alterations of EPST11 gene expression in the OSCC and LSCC cell lines suppressed the cell migration ability and reversed the EMT phenotype of the tumor cells. Collectively, while EPSTI1 appears to have oncogenic roles in OSCC, it appears to exert tumor‑suppressive roles in LSCC. PCR array analyses revealed some genes whose expression levels were altered along with the modified EPSTI1 expression in both the OSCC and LSCC cell lines. These findings suggest that EPSTI1 may be a therapeutic target for both OSCC and LSCC.
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Affiliation(s)
- Mengmeng Fan
- Department of Medical Oncology, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
| | - Makoto Arai
- Department of Medical Oncology, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
| | - Akinobu Tawada
- Department of Medical Oncology, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
| | - Tetsuhiro Chiba
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
| | - Reo Fukushima
- Department of Oral Science, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
| | - Katsuhiro Uzawa
- Department of Oral Science, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
| | - Masashi Shiiba
- Department of Medical Oncology, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
| | - Naoya Kato
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
| | - Hideki Tanzawa
- Department of Oral Science, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
| | - Yuichi Takiguchi
- Department of Medical Oncology, Graduate School of Medicine, Chiba University, Chiba 260‑8670, Japan
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6
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Kaiser M, Wojahn I, Rudat C, Lüdtke TH, Christoffels VM, Moon A, Kispert A, Trowe MO. Regulation of otocyst patterning by Tbx2 and Tbx3 is required for inner ear morphogenesis in the mouse. Development 2021; 148:dev.195651. [PMID: 33795231 DOI: 10.1242/dev.195651] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 03/23/2021] [Indexed: 12/21/2022]
Abstract
All epithelial components of the inner ear, including sensory hair cells and innervating afferent neurons, arise by patterning and differentiation of epithelial progenitors residing in a simple sphere, the otocyst. Here, we identify the transcriptional repressors TBX2 and TBX3 as novel regulators of these processes in the mouse. Ablation of Tbx2 from the otocyst led to cochlear hypoplasia, whereas loss of Tbx3 was associated with vestibular malformations. The loss of function of both genes (Tbx2/3cDKO) prevented inner ear morphogenesis at midgestation, resulting in indiscernible cochlear and vestibular structures at birth. Morphogenetic impairment occurred concomitantly with increased apoptosis in ventral and lateral regions of Tbx2/3cDKO otocysts around E10.5. Expression analyses revealed partly disturbed regionalisation, and a posterior-ventral expansion of the neurogenic domain in Tbx2/3cDKO otocysts at this stage. We provide evidence that repression of FGF signalling by TBX2 is important to restrict neurogenesis to the anterior-ventral otocyst and implicate another T-box factor, TBX1, as a crucial mediator in this regulatory network.
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Affiliation(s)
- Marina Kaiser
- Institute for Molecular Biology, Medizinische Hochschule Hannover, 30625 Hannover, Germany
| | - Irina Wojahn
- Institute for Molecular Biology, Medizinische Hochschule Hannover, 30625 Hannover, Germany
| | - Carsten Rudat
- Institute for Molecular Biology, Medizinische Hochschule Hannover, 30625 Hannover, Germany
| | - Timo H Lüdtke
- Institute for Molecular Biology, Medizinische Hochschule Hannover, 30625 Hannover, Germany
| | - Vincent M Christoffels
- Department of Anatomy, Embryology and Physiology, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Anne Moon
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Clinic, Danville, PA 17822, USA.,Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Andreas Kispert
- Institute for Molecular Biology, Medizinische Hochschule Hannover, 30625 Hannover, Germany
| | - Mark-Oliver Trowe
- Institute for Molecular Biology, Medizinische Hochschule Hannover, 30625 Hannover, Germany
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7
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Ras and Wnt Interaction Contribute in Prostate Cancer Bone Metastasis. Molecules 2020; 25:molecules25102380. [PMID: 32443915 PMCID: PMC7287876 DOI: 10.3390/molecules25102380] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 05/15/2020] [Accepted: 05/16/2020] [Indexed: 12/12/2022] Open
Abstract
Prostate cancer (PCa) is one of the most prevalent and malignant cancer types in men, which causes more than three-hundred thousand cancer death each year. At late stage of PCa progression, bone marrow is the most often metastatic site that constitutes almost 70% of metastatic cases of the PCa population. However, the characteristic for the osteo-philic property of PCa is still puzzling. Recent studies reported that the Wnt and Ras signaling pathways are pivotal in bone metastasis and that take parts in different cytological changes, but their crosstalk is not well studied. In this review, we focused on interactions between the Wnt and Ras signaling pathways during each stage of bone metastasis and present the fate of those interactions. This review contributes insights that can guide other researchers by unveiling more details with regard to bone metastasis and might also help in finding potential therapeutic regimens for preventing PCa bone metastasis.
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8
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Moon CI, Tompkins W, Wang Y, Godec A, Zhang X, Pipkorn P, Miller CA, Dehner C, Dahiya S, Hirbe AC. Unmasking Intra-tumoral Heterogeneity and Clonal Evolution in NF1-MPNST. Genes (Basel) 2020; 11:genes11050499. [PMID: 32369930 PMCID: PMC7291009 DOI: 10.3390/genes11050499] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 04/19/2020] [Accepted: 04/30/2020] [Indexed: 12/15/2022] Open
Abstract
Sarcomas are highly aggressive cancers that have a high propensity for metastasis, fail to respond to conventional therapies, and carry a poor 5-year survival rate. This is particularly true for patients with neurofibromatosis type 1 (NF1), in which 8%–13% of affected individuals will develop a malignant peripheral nerve sheath tumor (MPNST). Despite continued research, no effective therapies have emerged from recent clinical trials based on preclinical work. One explanation for these failures could be the lack of attention to intra-tumoral heterogeneity. Prior studies have relied on a single sample from these tumors, which may not be representative of all subclones present within the tumor. In the current study, samples were taken from three distinct areas within a single tumor from a patient with an NF1-MPNST. Whole exome sequencing, RNA sequencing, and copy number analysis were performed on each sample. A blood sample was obtained as a germline DNA control. Distinct mutational signatures were identified in different areas of the tumor as well as significant differences in gene expression among the spatially distinct areas, leading to an understanding of the clonal evolution within this patient. These data suggest that multi-regional sampling may be important for driver gene identification and biomarker development in the future.
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Affiliation(s)
- Chang-In Moon
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; (C.-I.M.); (Y.W.); (X.Z.)
| | - William Tompkins
- Washington University School of Medicine, St. Louis, MO 63110, USA;
| | - Yuxi Wang
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; (C.-I.M.); (Y.W.); (X.Z.)
| | - Abigail Godec
- College of Human Medicine, Michigan State University, East Lansing, MI 48824, USA;
| | - Xiaochun Zhang
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; (C.-I.M.); (Y.W.); (X.Z.)
| | - Patrik Pipkorn
- Department of Otolaryngology, Division of Head and Neck Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA;
- Siteman Cancer Center, St. Louis, MO 63110, USA; (C.A.M.); (S.D.)
| | - Christopher A. Miller
- Siteman Cancer Center, St. Louis, MO 63110, USA; (C.A.M.); (S.D.)
- McDonnell Genome Institute, Division of Oncology—Stem Cell Biology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Carina Dehner
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA;
| | - Sonika Dahiya
- Siteman Cancer Center, St. Louis, MO 63110, USA; (C.A.M.); (S.D.)
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA;
| | - Angela C. Hirbe
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; (C.-I.M.); (Y.W.); (X.Z.)
- Siteman Cancer Center, St. Louis, MO 63110, USA; (C.A.M.); (S.D.)
- Correspondence: ; Tel.: +1-314-747-3096
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9
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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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10
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Sahm BDB, Peres J, Rezende-Teixeira P, Santos EA, Branco PC, Bauermeister A, Kimani S, Moreira EA, Bisi-Alves R, Bellis C, Mlaza M, Jimenez PC, Lopes NP, Machado-Santelli GM, Prince S, Costa-Lotufo LV. Targeting the Oncogenic TBX2 Transcription Factor With Chromomycins. Front Chem 2020; 8:110. [PMID: 32195221 PMCID: PMC7062867 DOI: 10.3389/fchem.2020.00110] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Accepted: 02/05/2020] [Indexed: 12/30/2022] Open
Abstract
The TBX2 transcription factor plays critical roles during embryonic development and it is overexpressed in several cancers, where it contributes to key oncogenic processes including the promotion of proliferation and bypass of senescence. Importantly, based on compelling biological evidences, TBX2 has been considered as a potential target for new anticancer therapies. There has therefore been a substantial interest to identify molecules with TBX2-modulatory activity, but no such substance has been found to date. Here, we adopt a targeted approach based on a reverse-affinity procedure to identify the ability of chromomycins A5 (CA5) and A6 (CA6) to interact with TBX2. Briefly, a TBX2-DNA-binding domain recombinant protein was N-terminally linked to a resin, which in turn, was incubated with either CA5 or CA6. After elution, bound material was analyzed by UPLC-MS and CA5 was recovered from TBX2-loaded resins. To confirm and quantify the affinity (KD) between the compounds and TBX2, microscale thermophoresis analysis was performed. CA5 and CA6 modified the thermophoretic behavior of TBX2, with a KD in micromolar range. To begin to understand whether these compounds exerted their anti-cancer activity through binding TBX2, we next analyzed their cytotoxicity in TBX2 expressing breast carcinoma, melanoma and rhabdomyosarcoma cells. The results show that CA5 was consistently more potent than CA6 in all tested cell lines with IC50 values in the nM range. Of the cancer cell types tested, the melanoma cells were most sensitive. The knockdown of TBX2 in 501mel melanoma cells increased their sensitivity to CA5 by up to 5 times. Furthermore, inducible expression of TBX2 in 501mel cells genetically engineered to express TBX2 in the presence of doxycycline, were less sensitive to CA5 than the control cells. Together, the data presented in this study suggest that, in addition to its already recognized DNA-binding properties, CA5 may be binding the transcription factor TBX2, and it can contribute to its cytotoxic activity.
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Affiliation(s)
- Bianca Del B Sahm
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Jade Peres
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Paula Rezende-Teixeira
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Evelyne A Santos
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Paola C Branco
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Anelize Bauermeister
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.,Department of Physics and Chemistry, School of Pharmaceutical Sciences, University of São Paulo, Ribeirao Preto, Brazil
| | - Serah Kimani
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Eduarda A Moreira
- Department of Physics and Chemistry, School of Pharmaceutical Sciences, University of São Paulo, Ribeirao Preto, Brazil
| | - Renata Bisi-Alves
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Claire Bellis
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Mihlali Mlaza
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Paula C Jimenez
- Department of Sea Sciences, Federal University of São Paulo, Santos, Brazil
| | - Norberto P Lopes
- Department of Physics and Chemistry, School of Pharmaceutical Sciences, University of São Paulo, Ribeirao Preto, Brazil
| | - Glaucia M Machado-Santelli
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Sharon Prince
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.,Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Leticia V Costa-Lotufo
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
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11
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Perrard J, Morel A, Meznad K, Paget-Bailly P, Dalstein V, Guenat D, Mourareau C, Clavel C, Fauconnet S, Baguet A, Mougin C, Pretet JL. DNA demethylation agent 5azadC downregulates HPV16 E6 expression in cervical cancer cell lines independently of TBX2 expression. Oncol Lett 2019; 19:1074-1081. [PMID: 31897221 DOI: 10.3892/ol.2019.11158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 09/09/2019] [Indexed: 12/18/2022] Open
Abstract
HPV16 is the most carcinogenic human papillomavirus and causes >50% of cervical cancers, the majority of anal cancers and 30% of oropharyngeal squamous cell carcinomas. HPV carcinogenesis relies on the continuous expression of the two main viral oncoproteins E6 and E7 that target >150 cellular proteins. Among them, epigenetic modifiers, including DNA Methyl Transferases (DNMT), are dysregulated, promoting an aberrant methylation pattern in HPV-positive cancer cells. It has been previously reported that the treatment of HPV-positive cervical cancer cells with DNMT inhibitor 5-aza-2'-deoxycytidine (5azadC) caused the downregulation of E6 expression due to mRNA destabilization that was mediated by miR-375. Recently, the T-box transcription factor 2 (TBX2) has been demonstrated to repress HPV LCR activity. In the current study, the role of TBX2 in E6 repression was investigated in HPV16 cervical cancer cell lines following 5azadC treatment. A decrease of E6 expression was accompanied by p53 and p21 restoration. While TBX2 mRNA was upregulated in 5azadC-treated SiHa and Ca Ski cells, TBX2 protein was not detectable. Furthermore, the overexpression of TBX2 protein in cervical cancer cells did not allow the repression of E6 expression. The TBX2 transcription factor is therefore unlikely to be associated with the repression of E6 following 5azadC treatment of SiHa and Ca Ski cells.
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Affiliation(s)
- Jerome Perrard
- Équipe d'Accueil 3181, University of Bourgogne Franche-Comté, Laboratoire d'Excellence Lipoprotéines et Santé, Prévention et Traitement des Maladies Inflammatoires et du Cancer, 25000 Besançon, France
| | - Adrien Morel
- Center For Research in Genetics and Genomics-CIGGUR, GENIUROS Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá 112041, Colombia
| | - Koceila Meznad
- Équipe d'Accueil 3181, University of Bourgogne Franche-Comté, Laboratoire d'Excellence Lipoprotéines et Santé, Prévention et Traitement des Maladies Inflammatoires et du Cancer, 25000 Besançon, France
| | - Philippe Paget-Bailly
- Équipe d'Accueil 3181, University of Bourgogne Franche-Comté, Laboratoire d'Excellence Lipoprotéines et Santé, Prévention et Traitement des Maladies Inflammatoires et du Cancer, 25000 Besançon, France
| | - Veronique Dalstein
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche-S 1250 Pathologies Pulmonaires et Plasticité Cellulaire, Université de Reims Champagne-Ardenne, Faculté de Médecine, 51000 Reims, France.,Centre Hospitalier Universitaire Reims, Laboratoire Biopathologie, 51000 Reims, France
| | - David Guenat
- Équipe d'Accueil 3181, University of Bourgogne Franche-Comté, Laboratoire d'Excellence Lipoprotéines et Santé, Prévention et Traitement des Maladies Inflammatoires et du Cancer, 25000 Besançon, France.,Centre National de Référence Papillomavirus, CHU Besançon, Boulevard Alexandre Fleming, 25000 Besançon, France
| | - Celine Mourareau
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche-S 1250 Pathologies Pulmonaires et Plasticité Cellulaire, Université de Reims Champagne-Ardenne, Faculté de Médecine, 51000 Reims, France.,Centre Hospitalier Universitaire Reims, Laboratoire Biopathologie, 51000 Reims, France
| | - Christine Clavel
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche-S 1250 Pathologies Pulmonaires et Plasticité Cellulaire, Université de Reims Champagne-Ardenne, Faculté de Médecine, 51000 Reims, France.,Centre Hospitalier Universitaire Reims, Laboratoire Biopathologie, 51000 Reims, France
| | - Sylvie Fauconnet
- Équipe d'Accueil 3181, University of Bourgogne Franche-Comté, Laboratoire d'Excellence Lipoprotéines et Santé, Prévention et Traitement des Maladies Inflammatoires et du Cancer, 25000 Besançon, France
| | - Aurelie Baguet
- Équipe d'Accueil 3181, University of Bourgogne Franche-Comté, Laboratoire d'Excellence Lipoprotéines et Santé, Prévention et Traitement des Maladies Inflammatoires et du Cancer, 25000 Besançon, France
| | - Christiane Mougin
- Équipe d'Accueil 3181, University of Bourgogne Franche-Comté, Laboratoire d'Excellence Lipoprotéines et Santé, Prévention et Traitement des Maladies Inflammatoires et du Cancer, 25000 Besançon, France.,Centre National de Référence Papillomavirus, CHU Besançon, Boulevard Alexandre Fleming, 25000 Besançon, France
| | - Jean-Luc Pretet
- Équipe d'Accueil 3181, University of Bourgogne Franche-Comté, Laboratoire d'Excellence Lipoprotéines et Santé, Prévention et Traitement des Maladies Inflammatoires et du Cancer, 25000 Besançon, France.,Centre National de Référence Papillomavirus, CHU Besançon, Boulevard Alexandre Fleming, 25000 Besançon, France
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12
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Zhou B, Ho SS, Greer SU, Spies N, Bell JM, Zhang X, Zhu X, Arthur JG, Byeon S, Pattni R, Saha I, Huang Y, Song G, Perrin D, Wong WH, Ji HP, Abyzov A, Urban AE. Haplotype-resolved and integrated genome analysis of the cancer cell line HepG2. Nucleic Acids Res 2019; 47:3846-3861. [PMID: 30864654 PMCID: PMC6486628 DOI: 10.1093/nar/gkz169] [Citation(s) in RCA: 170] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 02/19/2019] [Accepted: 03/01/2019] [Indexed: 12/19/2022] Open
Abstract
HepG2 is one of the most widely used human cancer cell lines in biomedical research and one of the main cell lines of ENCODE. Although the functional genomic and epigenomic characteristics of HepG2 are extensively studied, its genome sequence has never been comprehensively analyzed and higher order genomic structural features are largely unknown. The high degree of aneuploidy in HepG2 renders traditional genome variant analysis methods challenging and partially ineffective. Correct and complete interpretation of the extensive functional genomics data from HepG2 requires an understanding of the cell line’s genome sequence and genome structure. Using a variety of sequencing and analysis methods, we identified a wide spectrum of genome characteristics in HepG2: copy numbers of chromosomal segments at high resolution, SNVs and Indels (corrected for aneuploidy), regions with loss of heterozygosity, phased haplotypes extending to entire chromosome arms, retrotransposon insertions and structural variants (SVs) including complex and somatic genomic rearrangements. A large number of SVs were phased, sequence assembled and experimentally validated. We re-analyzed published HepG2 datasets for allele-specific expression and DNA methylation and assembled an allele-specific CRISPR/Cas9 targeting map. We demonstrate how deeper insights into genomic regulatory complexity are gained by adopting a genome-integrated framework.
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Affiliation(s)
- Bo Zhou
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Steve S Ho
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Stephanie U Greer
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Noah Spies
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.,Genome-scale Measurements Group, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
| | - John M Bell
- Stanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA
| | - Xianglong Zhang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Xiaowei Zhu
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Joseph G Arthur
- Department of Statistics, Stanford University, Stanford, CA 94305, USA
| | - Seunggyu Byeon
- School of Computer Science and Engineering, College of Engineering, Pusan National University, Busan 46241, South Korea
| | - Reenal Pattni
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ishan Saha
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yiling Huang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Giltae Song
- School of Computer Science and Engineering, College of Engineering, Pusan National University, Busan 46241, South Korea
| | - Dimitri Perrin
- Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Wing H Wong
- Department of Statistics, Stanford University, Stanford, CA 94305, USA.,Department of Biomedical Data Science, Bio-X Program, Stanford University, Stanford, CA 94305, USA
| | - Hanlee P Ji
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.,Stanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA
| | - Alexej Abyzov
- Department of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Alexander E Urban
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.,Tashia and John Morgridge Faculty Scholar, Stanford Child Health Research Institute, Stanford, CA 94305, USA
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13
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Aydemir E, Kaşikci E, Coşkunçelebi B, Bayrak ÖF, Şahin F. The effect of TWIST silencing in metastatic chordoma cells. Turk J Biol 2019; 42:279-285. [PMID: 30814891 DOI: 10.3906/biy-1801-17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Chordoma is a slowly growing and invasive bone tumor with a tendency to metastasize locally in advanced stages. It is essential to discover new therapeutics that target genes involved in the metastasis of chordoma. Epithelial-mesenchymal transition (EMT) might robustly influence the metastasis of a tumor bulk. To our knowledge, this is the first time to show that EMT might have a role in chordoma metastasis. In this study, we aim to investigate the possible role of Twist, a key player transcription factor of EMT, in chordoma metastasis. The TWIST gene was silenced by short hairpins in chordoma cell line MUG-Chor1 and effects on metastasis were investigated by wound healing/gap closure and invasion assays. Twist-silenced MUG-Chor1 cells were found to be less migratory and less invasive when compared to the negative control. This study indicates that Twist might have a role in metastatic chordoma cells.
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Affiliation(s)
- Esra Aydemir
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University , İstanbul , Turkey
| | - Ezgi Kaşikci
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University , İstanbul , Turkey
| | - Burcu Coşkunçelebi
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University , İstanbul , Turkey
| | - Ömer Faruk Bayrak
- Department of Medical Genetics, Yeditepe University Medical School and Yeditepe University Hospital , İstanbul , Turkey
| | - Fikrettin Şahin
- Department of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University , İstanbul , Turkey
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