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Gu S, Feng XH. TGF-β signaling in cancer. Acta Biochim Biophys Sin (Shanghai) 2018; 50:941-949. [PMID: 30165534 DOI: 10.1093/abbs/gmy092] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Accepted: 07/16/2018] [Indexed: 12/19/2022] Open
Abstract
Signals from the transforming growth factor-β (TGF-β) superfamily mediate a broad spectrum of cellular processes and are deregulated in many diseases, including cancer. TGF-β signaling has dual roles in tumorigenesis. In the early phase of tumorigenesis, TGF-β has tumor suppressive functions, primarily through cell cycle arrest and apoptosis. However, in the late stage of cancer, TGF-β acts as a driver of tumor progression and metastasis by increasing tumor cell invasiveness and migration and promoting chemo-resistance. Here, we briefly review the mechanisms and functions of TGF-β signaling during tumor progression and discuss the therapeutic potentials of targeting the TGF-β pathway in cancer.
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Affiliation(s)
- Shuchen Gu
- Life Sciences Institute, Zhejiang University, Hangzhou, China
| | - Xin-Hua Feng
- Life Sciences Institute, Zhejiang University, Hangzhou, China
- Department of Molecular & Cellular Biology, Baylor College of Medicine, Houston, TX, USA
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2
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Wu RS, Hong JJ, Wu JF, Yan S, Wu D, Liu N, Liu QF, Wu QW, Xie YY, Liu YJ, Zheng ZZ, Chan EC, Zhang ZM, Li BA. OVOL2 antagonizes TGF-β signaling to regulate epithelial to mesenchymal transition during mammary tumor metastasis. Oncotarget 2018; 8:39401-39416. [PMID: 28455959 PMCID: PMC5503621 DOI: 10.18632/oncotarget.17031] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 03/09/2017] [Indexed: 12/12/2022] Open
Abstract
Great progress has been achieved in the study of the role of TGF-β signaling in triggering epithelial-mesenchymal transition (EMT) in a variety of cancers; however, the regulation of TGF-β signaling during EMT in mammary tumor metastasis has not been completely defined. In the present study, we demonstrated that OVOL2, a zinc finger transcription factor, inhibits TGF-β signaling-induced EMT in mouse and human mammary tumor cells, as well as in mouse tumor models. Data from the Oncomine databases indicated a strong negative relationship between OVOL2 expression and breast cancer progression. Moreover, our experiments revealed that OVOL2 inhibits TGF-β signaling at multiple levels, including inhibiting Smad4 mRNA expression and inducing Smad7 mRNA expression, blocking the binding between Smad4 and target DNA, and interfering with complex formation between Smad4 and Smad2/3. These findings reveal a novel mechanism that controls the TGF-β signaling output level in vitro and in vivo. The modulation of these molecular processes may represent a strategy for inhibiting breast cancer invasion by restoring OVOL2 expression.
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Affiliation(s)
- Rong-Si Wu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,Engineering Research Center of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Jing-Jing Hong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,Engineering Research Center of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Jia-Fa Wu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China
| | - Shen Yan
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,Engineering Research Center of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Di Wu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,Engineering Research Center of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Na Liu
- The First Affiliated Hospital, Xiamen University, Xiamen, Fujian, China
| | - Qing-Feng Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,Engineering Research Center of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Qiu-Wan Wu
- The First Affiliated Hospital, Xiamen University, Xiamen, Fujian, China
| | - Yuan-Yuan Xie
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,Engineering Research Center of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Yun-Jia Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,Engineering Research Center of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Zhong-Zheng Zheng
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,Engineering Research Center of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Err-Cheng Chan
- Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan
| | - Zhi-Ming Zhang
- The First Affiliated Hospital, Xiamen University, Xiamen, Fujian, China
| | - Bo-An Li
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.,Engineering Research Center of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
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3
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Su E, Han X, Jiang G. The Transforming Growth Factor Beta 1/SMAD Signaling Pathway Involved in Human Chronic Myeloid Leukemia. TUMORI JOURNAL 2018; 96:659-66. [DOI: 10.1177/030089161009600503] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Transforming growth factor beta 1 (TGF-β1) is the prototypic member of a large family of structurally related pleiotropic-secretedcytokines. The TGF-β1/SMAD signaling pathway usually participates in a wide range of cellular processes such as growth, proliferation, differentiation and apoptosis. Upon binding onTGF-β1, the dimerized TGF-β type II receptors recruit and phosphorylate the TGF-β type I receptors, which phosphorylate the receptor-regulated SMAD (SMAD2 and SMAD3) presented by the SMAD anchor for receptor activation. The phosphorylated receptor-regulated SMAD form heterologous complexes with the common-mediator SMAD (SMAD4) and subsequently translocate into the nucleus, where they interact with other transcription factors to regulate the expression of target genes. This multi-functional signaling pathway modulated by various elements with complex mechanisms at different levels is also inevitably involved in cancer. We herein present data on the role of the TGF-β1/SMAD signaling pathway in human chronic myeloid leukemia and explain the potent biological effects of TGF-β1 on leukemia cells. The paper is based on a review of articles selected from Cancerline and Medline data bases. The constitutively active tyrosine kinase produced by the specific Bcr-Abl fusion gene on the Philadelphia chromosome can enhance the resistance of malignant cells to TGF-β1-induced growth inhibition and apoptosis, which contributes to enhancement of proteasomal degradation of p27. However, overexpression of the EVI1 gene, which is also caused by Bcr-Abl, can recruit the C-terminal binding protein and histone deacetylase to prevent the MH2 domain on SMAD3. The later is essential for transcription activation on target genes and leads to blockage of the TGF-β1/SMAD signaling pathway. Some studies have indicated that certain therapeutic agents applied in clinical treatment can inhibit proliferation and promote differentiation of leukemia cells by way of modulation of the TGF-β1/SMAD signal pathway. For example, arsenic trioxide can promote specific degradation of the AML1/MDS1/EVI1 oncoprotein and inhibit the proliferation of leukemia cells. However, specific histone deacetylase inhibitors can interrupt the effect of histone deacetylase to alleviate EVI1-mediated suppression of TGF-β1/SMAD signaling. The tyrosine kinase inhibitor in the target therapy of chronic myeloid leukemia can effectively inhibit the tyrosine kinase activity of Bcr-Abl and induce suppression on the TGF-β1/SMAD signaling pathway. The TGF-β1/SMAD signaling pathway plays an important role in chronic myeloid leukemia cells and leads the leukemia cells to growth inhibition, differentiation and apoptosis. The positive influence of the TGF-β1/SMAD signaling pathway in chronic myeloid leukemia is fairly significant, and its potential effects in clinical treatment will bring about definite benefits. Since it is a complex signaling pathway widely involved in many aspects of cellular activities, further study and comprehensive analysis of the TGF-β1/SMAD signaling pathway are imperative and will have a guiding significance in research and clinical applications. It is an exciting area for future research. Free full text available at www.tumorionline.it
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Affiliation(s)
- Enyu Su
- Key Laboratory for Modern Medicine and Technology of Shandong Province, Institute of Basic Medicine
| | - Xiao Han
- Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China
| | - Guosheng Jiang
- Key Laboratory for Modern Medicine and Technology of Shandong Province, Institute of Basic Medicine
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4
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Wang G, Yu Y, Sun C, Liu T, Liang T, Zhan L, Lin X, Feng XH. STAT3 selectively interacts with Smad3 to antagonize TGF-β signalling. Oncogene 2016; 35:4388-98. [PMID: 26616859 PMCID: PMC4885808 DOI: 10.1038/onc.2015.446] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Revised: 10/15/2015] [Accepted: 10/19/2015] [Indexed: 12/19/2022]
Abstract
Smad and STAT proteins are critical signal transducers and transcription factors in controlling cell growth and tumorigenesis. Here we report that the STAT3 signaling pathway attenuates transforming growth factor-β (TGF-β)-induced responses through a direct Smad3-STAT3 interplay. Activated STAT3 blunts TGF-β-mediated signaling. Depletion of STAT3 promotes TGF-β-mediated transcriptional and physiological responses, including cell cycle arrest, apoptosis and epithelial-to-mesenchymal transition. STAT3 directly interacts with Smad3 in vivo and in vitro, resulting in attenuation of the Smad3-Smad4 complex formation and suppression of DNA-binding ability of Smad3. The N-terminal region of DNA-binding domain of STAT3 is responsible for the STAT3-Smad3 interaction and also indispensable for STAT3-mediated inhibition of TGF-β signaling. Thus, our finding illustrates a direct crosstalk between the STAT3 and Smad3 signaling pathways that may contribute to tumor development and inflammation.
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Affiliation(s)
- Gaohang Wang
- Life Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Hangzhou, Zhejiang 310058, China
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yi Yu
- Life Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Chuang Sun
- Department of Molecular Physiology & Biophysics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ting Liu
- Life Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Tingbo Liang
- Department of Hepatobiliary and Pancreatic Surgery and the Key Laboratory of Cancer Prevention and Intervention, The Second Affiliated Hospital, School of Medicine Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Lixing Zhan
- Institute of Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xia Lin
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xin-Hua Feng
- Life Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Hangzhou, Zhejiang 310058, China
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular Physiology & Biophysics, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular & Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
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5
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Yuan X, Wang X, Bi K, Jiang G. The role of EVI-1 in normal hematopoiesis and myeloid malignancies (Review). Int J Oncol 2015; 47:2028-36. [PMID: 26496831 DOI: 10.3892/ijo.2015.3207] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 09/30/2015] [Indexed: 11/06/2022] Open
Abstract
Ecotropic virus integration site-1 (EVI-1) gene, locus on chromosome 3 (3q26.2) in the human genome, was first found in the AKXD strain of mice, in a model of retrovirus-induced acute myeloid leukemia (AML) established twenty years ago. Since then, EVI-1 was regarded as one of the most invasive proto-oncogenes in human leukemia. EVI-1 can encode a unique zinc-finger protein of 145 kDa that can bind with DNA, and its overexpression was closely related to human hemopoietic diseases. Furthermore, accumulating research indicates that EVI-1 is involved in the differentiation, apoptosis and proliferation of leukemia cells. The present review focuses on the biochemical properties of EVI-1 which plays a role in myeloid malignancies.
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Affiliation(s)
- Xiaofen Yuan
- Key Laboratory for Rare and Uncommon Diseases of Shandong Province, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China
| | - Xidi Wang
- Laboratory Department, People's Hospital of Zhangqiu City, Zhangqiu, Shandong, P.R. China
| | - Kehong Bi
- Department of Hematology, Qianfoshan Hospital of Shandong, Jinan, Shandong, P.R. China
| | - Guosheng Jiang
- Key Laboratory for Rare and Uncommon Diseases of Shandong Province, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China
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6
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Sayadi A, Jeyakani J, Seet SH, Wei CL, Bourque G, Bard FA, Jenkins NA, Copeland NG, Bard-Chapeau EA. Functional features of EVI1 and EVI1Δ324 isoforms of MECOM gene in genome-wide transcription regulation and oncogenicity. Oncogene 2015; 35:2311-21. [DOI: 10.1038/onc.2015.286] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 06/09/2015] [Accepted: 06/13/2015] [Indexed: 11/09/2022]
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7
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Wang TY, Huang YP, Ma P. Correlations of common polymorphism of EVI-1 gene targeted by miRNA-206/133b with the pathogenesis of breast cancer. Tumour Biol 2014; 35:9255-62. [PMID: 24935473 DOI: 10.1007/s13277-014-2213-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Accepted: 06/06/2014] [Indexed: 12/17/2022] Open
Abstract
The aim of this study was to identify the correlations of a common polymorphism (rs6774494 A > G) in the EVI-1 gene targeted by micro-RNA (miRNA)-206/133b with the pathogenesis of breast cancer (BC). A total of 196 unrelated ethnic Han Chinese women diagnosed with primary BC were consecutively recruited and 200 healthy controls were randomly selected from the same population-based cohort. Direct PCR sequencing assay was used to detection of rs6774494 A > G polymorphism in the EVI-1 gene. Real-time quantitative PCR (RT-PCR) analysis was performed to verify the alterations of the EVI1 messenger RNA (mRNA) levels. Kaplan-Meier analysis was used to investigate and to estimate the survival outcomes for each endpoint. All statistical analyses were performed with SPSS software (version 18.0, SPSS, Chicago, IL). Our results demonstrated that the carriers of EVI-1 AG genotype were more likely to develop BC when compared with the EVI-1 GG genotype (P = 0.034, OR = 1.26, 95% CI = 1.02 ∼ 1.57). In addition, it was found that patients with the G (AG + GG) allele of EVI-1 genetic variants were associated with higher risk of BC compared with the EVI-1 AA genotype (OR = 1.26, 95% CI = 1.02 ∼ 1.54, P = 0.028). The results of a subgroup analysis stratified by menopause revealed that in female post-menopause subgroup patients with the EVI-1 G allele were correlated with a higher risk of BC than those with the EVI-1 AA genotype (OR = 1.31, 95% CI = 1.00 ∼ 1.72, P = 0.054). Kaplan-Meier analyses suggested that carriers of the G allele (AG + GG) were associated with poorer overall survival (OS) and progression-free survival (PFS) compared with those with AA genotype (OS P = 0.042; PFS P = 0.036, respectively). The correlation analysis showed that EVI-1 mRNA levels were negatively associated with miRNA-206/133b levels in the carriers of the G allele (AG + GG) (r = -1.274, P < 0.05). Our findings provide evidence that the EVI-1 rs6774494 G > A polymorphism targeted by miRNA-206/133b may contribute to the pathogenesis of BC.
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Affiliation(s)
- Tian-Yi Wang
- Institute of Tumors, The First Affiliated Hospital, China Medical University, Nanjing North Street No. 155, Shenyang, 110001, People's Republic of China
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8
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EVI1 oncoprotein interacts with a large and complex network of proteins and integrates signals through protein phosphorylation. Proc Natl Acad Sci U S A 2013; 110:E2885-94. [PMID: 23858473 DOI: 10.1073/pnas.1309310110] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Ecotropic viral integration site-1 (EVI1) is an oncogenic zinc finger transcription factor whose expression is frequently up-regulated in myeloid leukemia and epithelial cancers. To better understand the mechanisms underlying EVI1-associated disease, we sought to define the EVI1 interactome in cancer cells. By using stable isotope labeling by amino acids in cell culture (SILAC)-based quantitative proteomics, we could confidently assign 78 proteins as EVI1-interacting partners for FLAG-tagged EVI1. Subsequently, we showed that 22 of 27 tested interacting proteins could coimmunoprecipitate with endogenous EVI1 protein, which represented an 81.5% validation rate. Additionally, by comparing the stable isotope labeling by amino acids in cell culture (SILAC) data with high-throughput yeast two hybrid results, we showed that five of these proteins interacted directly with EVI1. Functional classification of EVI1-interacting proteins revealed associations with cellular transcription machinery; modulators of transcription; components of WNT, TGF-β, and RAS pathways; and proteins regulating DNA repair, recombination, and mitosis. We also identified EVI1 phosphorylation sites by MS analysis and showed that Ser538 and Ser858 can be phosphorylated and dephosphorylated by two EVI1 interactome proteins, casein kinase II and protein phosphatase-1α. Finally, mutations that impair EVI1 phosphorylation at these sites reduced EVI1 DNA binding through its C-terminal zinc finger domain and induced cancer cell proliferation. Collectively, these combinatorial proteomic approaches demonstrate that EVI1 interacts with large and complex networks of proteins, which integrate signals from various different signaling pathways important for oncogenesis. Comprehensive analysis of the EVI1 interactome has thus provided an important resource for dissecting the molecular mechanisms of EVI1-associated disease.
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9
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Dutta P, Bui T, Bauckman KA, Keyomarsi K, Mills GB, Nanjundan M. EVI1 splice variants modulate functional responses in ovarian cancer cells. Mol Oncol 2013; 7:647-68. [PMID: 23517670 DOI: 10.1016/j.molonc.2013.02.008] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2012] [Revised: 01/18/2013] [Accepted: 02/12/2013] [Indexed: 01/06/2023] Open
Abstract
Amplification of 3q26.2, found in many cancer lineages, is a frequent and early event in ovarian cancer. We previously defined the most frequent region of copy number increase at 3q26.2 to EVI1 (ecotropic viral integration site-1) and MDS1 (myelodysplastic syndrome 1) (aka MECOM), an observation recently confirmed by the cancer genome atlas (TCGA). MECOM is increased at the DNA, RNA, and protein level and likely contributes to patient outcome. Herein, we report that EVI1 is aberrantly spliced, generating multiple variants including a Del(190-515) variant (equivalent to previously reported) expressed in >90% of advanced stage serous epithelial ovarian cancers. Although EVI1(Del190-515) lacks ∼70% of exon 7, it binds CtBP1 as well as SMAD3, important mediators of TGFβ signaling, similar to wild type EVI1. This contrasts with EVI1 1-268 which failed to interact with CtBP1. Interestingly, the EVI1(Del190-515) splice variant preferentially localizes to PML nuclear bodies compared to wild type and EVI1(Del427-515). While wild type EVI1 efficiently repressed TGFβ-mediated AP-1 (activator protein-1) and plasminogen activator inhibitor-1 (PAI-1) promoters, EVI1(Del190-515) elicited a slight increase in both promoter activities. Expression of EVI1 and EVI1(Del427-515) (but not EVI1(Del190-515)) in OVCAR8 ovarian cancer cells increased cyclin E1 LMW expression and cell cycle progression. Furthermore, knockdown of specific EVI1 splice variants (both MDS1/EVI1 and EVI1(Del190-515)) markedly increased claudin-1 mRNA and protein expression in HEY ovarian and MDA-MB-231 breast cancer cells. Changes in claudin-1 were associated with alterations in specific epithelial-mesenchymal transition markers concurrent with reduced migratory potential. Collectively, EVI1 is frequently aberrantly spliced in ovarian cancer with specific forms eliciting altered functions which could potentially contribute to ovarian cancer pathophysiology.
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Affiliation(s)
- Punashi Dutta
- Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, FL 33620, USA
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Abstract
Mouse models of human cancer have played a vital role in understanding tumorigenesis and answering experimental questions that other systems cannot address. Advances continue to be made that allow better understanding of the mechanisms of tumor development, and therefore the identification of better therapeutic and diagnostic strategies. We review major advances that have been made in modeling cancer in the mouse and specific areas of research that have been explored with mouse models. For example, although there are differences between mice and humans, new models are able to more accurately model sporadic human cancers by specifically controlling timing and location of mutations, even within single cells. As hypotheses are developed in human and cell culture systems, engineered mice provide the most tractable and accurate test of their validity in vivo. For example, largely through the use of these models, the microenvironment has been established to play a critical role in tumorigenesis, since tumor development and the interaction with surrounding stroma can be studied as both evolve. These mouse models have specifically fueled our understanding of cancer initiation, immune system roles, tumor angiogenesis, invasion, and metastasis, and the relevance of molecular diversity observed among human cancers. Currently, these models are being designed to facilitate in vivo imaging to track both primary and metastatic tumor development from much earlier stages than previously possible. Finally, the approaches developed in this field to achieve basic understanding are emerging as effective tools to guide much needed development of treatment strategies, diagnostic strategies, and patient stratification strategies in clinical research.
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Affiliation(s)
- Jessica C Walrath
- Mouse Cancer Genetics Program, National Cancer Institute, Frederick, Maryland, USA
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11
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Akagi I, Miyashita M, Makino H, Nomura T, Hagiwara N, Takahashi K, Cho K, Mishima T, Takizawa T, Tajiri T. SnoN Overexpression is Predictive of Poor Survival in Patients with Esophageal Squamous Cell Carcinoma. Ann Surg Oncol 2008; 15:2965-75. [DOI: 10.1245/s10434-008-9986-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2008] [Revised: 03/16/2008] [Accepted: 04/27/2008] [Indexed: 11/18/2022]
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12
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Qiu Y, Lynch J, Guo L, Yatsula B, Perkins AS, Michalak M. Regulation of the Calreticulin Gene by GATA6 and Evi-1 Transcription Factors. Biochemistry 2008; 47:3697-704. [DOI: 10.1021/bi702524v] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Affiliation(s)
- Yuanyuan Qiu
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada T6G 2H7, and Department of Pathology, Yale University, New Haven, Connecticut 06520
| | - Jeffrey Lynch
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada T6G 2H7, and Department of Pathology, Yale University, New Haven, Connecticut 06520
| | - Lei Guo
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada T6G 2H7, and Department of Pathology, Yale University, New Haven, Connecticut 06520
| | - Bogdan Yatsula
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada T6G 2H7, and Department of Pathology, Yale University, New Haven, Connecticut 06520
| | - Archibald S. Perkins
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada T6G 2H7, and Department of Pathology, Yale University, New Haven, Connecticut 06520
| | - Marek Michalak
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada T6G 2H7, and Department of Pathology, Yale University, New Haven, Connecticut 06520
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13
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Dunn-Thomas TE, Dobbs DL, Sakaguchi DS, Young MJ, Honovar VG, Greenlee MHW. Proteomic Differentiation Between Murine Retinal and Brain-Derived Progenitor Cells. Stem Cells Dev 2008; 17:119-31. [DOI: 10.1089/scd.2007.0051] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Affiliation(s)
- Tyra E. Dunn-Thomas
- Department of Bioinformatics and Computational Biology, Iowa State University, Ames, IA 50010
| | - Drena L. Dobbs
- Department of Bioinformatics and Computational Biology, Iowa State University, Ames, IA 50010
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50010
| | - Donald S. Sakaguchi
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50010
| | - Michael J. Young
- Schepens Eye Research Institute, Harvard Medical School, Boston, MA 02114
| | - Vasant G. Honovar
- Department of Bioinformatics and Computational Biology, Iowa State University, Ames, IA 50010
- Deparment of Computer Science, Iowa State University, Ames, IA 50010
| | - M. Heather West Greenlee
- Department of Bioinformatics and Computational Biology, Iowa State University, Ames, IA 50010
- Department of Biomedical Sciences, Iowa State University, Ames, IA 50010
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14
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Bourdeau V, Deschênes J, Laperrière D, Aid M, White JH, Mader S. Mechanisms of primary and secondary estrogen target gene regulation in breast cancer cells. Nucleic Acids Res 2007; 36:76-93. [PMID: 17986456 PMCID: PMC2248750 DOI: 10.1093/nar/gkm945] [Citation(s) in RCA: 92] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Estrogen receptors (ERs), which mediate the proliferative action of estrogens in breast cancer cells, are ligand-dependent transcription factors that regulate expression of their primary target genes through several mechanisms. In addition to direct binding to cognate DNA sequences, ERs can be recruited to DNA through other transcription factors (tethering), or affect gene transcription through modulation of signaling cascades by non-genomic mechanisms of action. To better characterize the mechanisms of gene regulation by estrogens, we have identified more than 700 putative primary and about 1300 putative secondary target genes of estradiol in MCF-7 cells through microarray analysis performed in the presence or absence of the translation inhibitor cycloheximide. Although siRNA-mediated inhibition of ERalpha expression antagonized the effects of estradiol on up- and down-regulated primary target genes, estrogen response elements (EREs) were enriched only in the vicinity of up-regulated genes. Binding sites for several other transcription factors, including proteins known to tether ERalpha, were enriched in up- and/or down-regulated primary targets. Secondary estrogen targets were particularly enriched in sites for E2F family members, several of which were transcriptionally regulated by estradiol, consistent with a major role of these factors in mediating the effects of estrogens on gene expression and cellular growth.
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Affiliation(s)
- Véronique Bourdeau
- Institute for Research in Immunology and Cancer and Biochemistry Department, Université de Montréal, C.P. 6128 Succursale Centre Ville, Montréal, QC H3C 3J7, Canada
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15
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Shackelford D, Kenific C, Blusztajn A, Waxman S, Ren R. Targeted degradation of the AML1/MDS1/EVI1 oncoprotein by arsenic trioxide. Cancer Res 2007; 66:11360-9. [PMID: 17145882 DOI: 10.1158/0008-5472.can-06-1774] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Arsenic trioxide (ATO) has been found to be an effective treatment for acute promyelocytic leukemia patients and is being tested for treating other hematologic malignancies. We have previously shown that AML1/MDS1/EVI1 (AME), a fusion gene generated by a t(3;21)(q26;q22) translocation found in patients with chronic myelogenous leukemia during blast phase, myelodysplastic syndrome, or acute myelogenous leukemia (AML), impairs hematopoiesis and eventually induces an AML in mice. Both fusion partners of AME, AML1 and MDS1/EVI1, encode transcription factors and are also targets of a variety of genetic abnormalities in human hematologic malignancies. In addition, aberrant expression of ectopic viral integration site 1 (EVI1) has also been found in solid tumors, such as ovarian and colon cancers. In this study, we examined whether ATO could target AME and related oncoproteins. We found that ATO used at therapeutic levels degrades AME. The ATO treatment induces differentiation and apoptosis in AME leukemic cells in vitro as well as reduces tumor load and increases the survival of mice transplanted with these cells. We further found that ATO targets AME via both myelodysplastic syndrome 1 (MDS1) and EVI1 moieties and degrades EVI1 via the ubiquitin-proteasome pathway and MDS1 in a proteasome-independent manner. Our results suggest that ATO could be used as a part of targeted therapy for AME-, AML1/MDS1-, MDS1/EVI1-, and EVI1-positive human cancers.
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MESH Headings
- Animals
- Apoptosis/drug effects
- Arsenic Trioxide
- Arsenicals/pharmacology
- Blotting, Western
- Cell Differentiation/drug effects
- Cell Line, Tumor
- Core Binding Factor Alpha 2 Subunit/genetics
- Core Binding Factor Alpha 2 Subunit/metabolism
- Dose-Response Relationship, Drug
- Down-Regulation/drug effects
- Flow Cytometry
- Gene Expression Regulation, Neoplastic/drug effects
- Growth Inhibitors/pharmacology
- Humans
- Leukemia, Experimental/genetics
- Leukemia, Experimental/pathology
- Leukemia, Experimental/prevention & control
- Male
- Mice
- Mice, Inbred BALB C
- NIH 3T3 Cells
- Oncogene Proteins, Fusion/genetics
- Oncogene Proteins, Fusion/metabolism
- Oxides/pharmacology
- Proteasome Endopeptidase Complex/metabolism
- Repressor Proteins/genetics
- Repressor Proteins/metabolism
- Reverse Transcriptase Polymerase Chain Reaction
- Signal Transduction/drug effects
- Survival Analysis
- Transfection
- Ubiquitin/metabolism
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Affiliation(s)
- David Shackelford
- Rosenstiel Basic Medical Sciences Research Center, Department of Biology, Brandeis University, Waltham, Massachusetts 02454-9110, USA
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16
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Sunde JS, Donninger H, Wu K, Johnson ME, Pestell RG, Rose GS, Mok SC, Brady J, Bonome T, Birrer MJ. Expression profiling identifies altered expression of genes that contribute to the inhibition of transforming growth factor-beta signaling in ovarian cancer. Cancer Res 2006; 66:8404-12. [PMID: 16951150 DOI: 10.1158/0008-5472.can-06-0683] [Citation(s) in RCA: 84] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Ovarian cancer is resistant to the antiproliferative effects of transforming growth factor-beta (TGF-beta); however, the mechanism of this resistance remains unclear. We used oligonucleotide arrays to profile 37 undissected, 68 microdissected advanced-stage, and 14 microdissected early-stage papillary serous cancers to identify signaling pathways involved in ovarian cancer. A total of seven genes involved in TGF-beta signaling were identified that had altered expression >1.5-fold (P < 0.001) in the ovarian cancer specimens compared with normal ovarian surface epithelium. The expression of these genes was coordinately altered: genes that inhibit TGF-beta signaling (DACH1, BMP7, and EVI1) were up-regulated in advanced-stage ovarian cancers and, conversely, genes that enhance TGF-beta signaling (PCAF, TFE3, TGFBRII, and SMAD4) were down-regulated compared with the normal samples. The microarray data for DACH1 and EVI1 were validated using quantitative real-time PCR on 22 microdissected ovarian cancer specimens. The EVI1 gene locus was amplified in 43% of the tumors, and there was a significant correlation (P = 0.029) between gene copy number and EVI1 gene expression. No amplification at the DACH1 locus was found in any of the samples. DACH1 and EVI1 inhibited TGF-beta signaling in immortalized normal ovarian epithelial cells, and a dominant-negative DACH1, DACH1-Delta DS, partially restored signaling in an ovarian cancer cell line resistant to TGF-beta. These results suggest that altered expression of these genes is responsible for disrupted TGF-beta signaling in ovarian cancer and they may be useful as new and novel therapeutic targets for ovarian cancer.
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Affiliation(s)
- Jan S Sunde
- Walter Reed Army Medical Center, Washington, District of Columbia, USA
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17
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Cui JX, Du HL, Liang Y, Deng XM, Li N, Zhang XQ. Association of polymorphisms in the promoter region of chicken prolactin with egg production. Poult Sci 2006; 85:26-31. [PMID: 16493942 DOI: 10.1093/ps/85.1.26] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Chicken prolactin (PRL) is a physiological candidate gene for egg production. The objective of the current research was to investigate the association of polymorphisms in the chicken PRL promoter region with egg production. Genotyping of 177 individuals from White Leghorn, Yangshan, Taihe Silkies, White Rock, and Nongdahe breeds for 6 single nucleotide polymorphisms (C-2402T, C-2161G, T-2101G, C-2062G, T-2054A, and G-2040A) and 1 24-bp indel (insertion-deletion) at the site of -358 of the chicken PRL gene revealed large breed differences in allelic frequencies for all but the T-2101G and T-2054A polymorphisms. An F2 population produced from Nongdahe x Taihe Silkies chickens consisted of 374 hens, which were recorded for egg production traits and genotyped for the above 7 polymorphisms. Marker-trait association analysis indicated that the 24-bp indel was associated with egg production (P < 0.01) and that H3 (C C T C T G) was the most advantageous haplotype for egg production.
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Affiliation(s)
- J X Cui
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou
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18
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Abstract
Within a cell, the levels and activity of multiple pro- and anti-apoptotic molecules act in concert to regulate commitment to apoptosis. Whilst the balance between survival and death can be tipped by the effects of single molecules, cellular apoptosis control pathways very often incorporate key transcription factors that co-ordinately regulate the expression of multiple apoptosis control genes. C-terminal binding proteins (CtBPs), which were originally identified through their binding to the Adenovirus E1A oncoprotein, have been described as such transcriptional regulators of the apoptosis program. Specifically, CtBPs function as transcriptional co-repressors, and have been demonstrated to promote cell survival by suppressing the expression of several pro-apoptotic genes. In this review we summarize the evidence supporting a key role for CtBP proteins in cell survival. We also describe the known mechanisms of transcriptional control by CtBPs, and review the multiplicity of intracellular signaling and transcriptional control pathways with which they are known to be involved. Finally we consider these findings in the context of additional known roles of CtBP molecules, and the potential implications that this combined knowledge may have for our comprehension of diseases of cell survival, notably cancer.
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Affiliation(s)
- L M Bergman
- Cancer Sciences Division, School of Medicine, University of Southampton, UK.
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19
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Uren AG, Kool J, Berns A, van Lohuizen M. Retroviral insertional mutagenesis: past, present and future. Oncogene 2005; 24:7656-72. [PMID: 16299527 DOI: 10.1038/sj.onc.1209043] [Citation(s) in RCA: 214] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Retroviral insertion mutagenesis screens in mice are powerful tools for efficient identification of oncogenic mutations in an in vivo setting. Many oncogenes identified in these screens have also been shown to play a causal role in the development of human cancers. Sequencing and annotation of the mouse genome, along with recent improvements in insertion site cloning has greatly facilitated identification of oncogenic events in retrovirus-induced tumours. In this review, we discuss the features of retroviral insertion mutagenesis screens, covering the mechanisms by which retroviral insertions mutate cellular genes, the practical aspects of insertion site cloning, the identification and analysis of common insertion sites, and finally we address the potential for use of somatic insertional mutagens in the study of nonhaematopoietic and nonmammary tumour types.
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Affiliation(s)
- A G Uren
- Division of Molecular Genetics, Netherlands Cancer Institute, Amsterdam
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20
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Tsuang MT, Nossova N, Yager T, Tsuang MM, Guo SC, Shyu KG, Glatt SJ, Liew CC. Assessing the validity of blood-based gene expression profiles for the classification of schizophrenia and bipolar disorder: a preliminary report. Am J Med Genet B Neuropsychiatr Genet 2005; 133B:1-5. [PMID: 15645418 DOI: 10.1002/ajmg.b.30161] [Citation(s) in RCA: 168] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Recent advances have facilitated the use of blood-derived RNA to conduct genomic analyses of human diseases. This emerging technology represents a rigorous and convenient alternative to traditional tissue biopsy-derived RNA, as it allows for larger sample sizes, better standardization of technical procedures, and the ability to non-invasively profile human subjects. In the present pilot study, we have collected RNA from blood of patients diagnosed with schizophrenia or bipolar disorder (BPD), as well as normal control subjects. Using microarray analysis, we found that each disease state exhibited a unique expressed genome signature, allowing us to discriminate between the schizophrenia, BPD, and control groups. In addition, we validated changes in several potential biomarker genes for schizophrenia and BPD by RT-PCR, and some of these were found to code to chromosomal loci previously linked to schizophrenia. Linear and non-linear combinations of eight putative biomarker genes (APOBEC3B, ADSS, ATM, CLC, CTBP1, DATF1, CXCL1, and S100A9) were able to discriminate between schizophrenia, BPD, and control samples, with an overall accuracy of 95%-97% as indicated by receiver operating characteristic (ROC) curve analysis. We therefore propose that blood cell-derived RNA may have significant value for performing diagnostic functions and identifying disease biomarkers in schizophrenia and BPD.
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Affiliation(s)
- Ming T Tsuang
- Department of Psychiatry, Institute of Behavioral Genomics, University of California, San Diego, La Jolla, California 92093-0603, USA.
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