101
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miR-1204 targets VDR to promotes epithelial-mesenchymal transition and metastasis in breast cancer. Oncogene 2018; 37:3426-3439. [DOI: 10.1038/s41388-018-0215-2] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 11/09/2017] [Accepted: 02/09/2018] [Indexed: 11/08/2022]
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102
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Łaźniak S, Lutkowska A, Wareńczak-Florczak Ż, Sowińska A, Tsibulski A, Roszak A, Sajdak S, Jagodziński PP. The association of CCAT2 rs6983267 SNP with MYC expression and progression of uterine cervical cancer in the Polish population. Arch Gynecol Obstet 2018. [PMID: 29525942 PMCID: PMC5897468 DOI: 10.1007/s00404-018-4740-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
PURPOSE Previous studies have reported a significant contribution of NC_000008.10:g.128413305 G>T (rs6983267) single-nucleotide polymorphism (SNP) in the MYC enhancer region to the susceptibility of various cancers. However, the role of rs6983267 SNP in cervical cancer (CC) development and progression has not been demonstrated to date. Therefore, we evaluated the role of rs6983267 SNP in MYC expression in cervical cancers and non-cancerous cervical tissues. In addition, we assessed the role of this SNP in the development and progression of CC. METHODS Using high-resolution melting analysis, we evaluated rs6983267 SNP frequency in women diagnosed with cervical squamous cell carcinoma (SCC) (n = 481) and controls (n = 502) in a Polish Caucasian population. Logistic regression analysis was employed to adjust for the effects of age, parity, oral contraceptive use, tobacco smoking, and menopausal status. RESULTS Dividing patients based on clinical characteristics demonstrated an association of the rs6983267 genotype with tumor stage III and grade of differentiation G2 and G3. The p trend value calculated for the rs6983267 SNP in patients with stage III was 0.0006. We also observed a significant contribution of rs6983267 SNP to tumor grade of differentiation G2 and G3. Additional contributors were oral contraceptive use, smoking, and postmenopausal age. We found statistically significant increase of MYC transcript levels in cervical SCC tissues from carriers of the GG vs. T/T (p < 0.00001), G/T vs. T/T (p = 0.0002), and in the non-cancerous cervical tissues from carriers of the GG vs. T/T (p = 0.00046). CONCLUSION The rs6983267 SNP may contribute to the increased MYC expression as well as the spread and rapid growth of cervical SCC as compared to lower grade carcinomas.
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Affiliation(s)
- Sebastian Łaźniak
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, 6 Święcickiego St., 60-781, Poznan, Poland
| | - Anna Lutkowska
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, 6 Święcickiego St., 60-781, Poznan, Poland
| | - Żaneta Wareńczak-Florczak
- Department of Radiotherapy and Gynecological Oncology, Greater Poland Cancer Center, Pozna, Poland.,Department of Electroradiology, Poznań University of Medical Sciences, Poznan, Poland
| | - Anna Sowińska
- Department of Computer Science and Statistics, Poznań University of Medical Sciences, Poznan, Poland
| | - Alexander Tsibulski
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, 6 Święcickiego St., 60-781, Poznan, Poland
| | - Andrzej Roszak
- Department of Radiotherapy and Gynecological Oncology, Greater Poland Cancer Center, Pozna, Poland.,Department of Electroradiology, Poznań University of Medical Sciences, Poznan, Poland
| | - Stefan Sajdak
- Clinic of Gynecological Surgery, Poznań University of Medical Sciences, Poznan, Poland
| | - Pawel P Jagodziński
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, 6 Święcickiego St., 60-781, Poznan, Poland.
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103
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Association between 8q24 (rs13281615 and rs6983267) polymorphism and breast cancer susceptibility: a meta-analysis involving 117,355 subjects. Oncotarget 2018; 7:68002-68011. [PMID: 27634905 PMCID: PMC5356534 DOI: 10.18632/oncotarget.12009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 08/27/2016] [Indexed: 01/09/2023] Open
Abstract
Published data on the association between 8q24 polymorphism and breast cancer (BC) risk are inconclusive. Thus, we conducted a meta-analysis to evaluate the relationship between 8q24 (rs13281615 and rs6983267) polymorphism and BC risk. We searched PubMed, EMBASE, Web of Science and the Cochrane Library up to August 13, 2015 for relevant studies. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the strength of associations. Twenty-six studies published from 2008 to 2014, with a total of 52,683 cases and 64,672 controls, were included in this meta-analysis. The pooled results showed that there was significant association between 8q24 rs13281615 polymorphism and BC risk in any genetic model. In the subgroup analysis by ethnicity, the effects remained in Asians and Caucasians. However, no genetic models reached statistical association in Africans. There was no association in any genetic model in rs6983267. This meta-analysis suggests that 8q24 rs13281615 polymorphism is a risk factor for susceptibility to BC in Asians, Caucasians and in overall population, While, there was no association in Africans. The rs6983267 polymorphism has no association with BC risk in any genetic model. Further large scale multicenter epidemiological studies are warranted to confirm this finding.
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104
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Assis Machado R, de Toledo IP, Martelli-Júnior H, Reis SR, Neves Silva Guerra E, Coletta RD. Potential genetic markers for nonsyndromic oral clefts in the Brazilian population: A systematic review and meta-analysis. Birth Defects Res 2018; 110:827-839. [DOI: 10.1002/bdr2.1208] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 01/10/2018] [Accepted: 01/22/2018] [Indexed: 12/29/2022]
Affiliation(s)
- Renato Assis Machado
- Department of Oral Diagnosis, School of Dentistry; University of Campinas; Piracicaba SP Brazil
| | - Isabela Porto de Toledo
- Laboratory of Oral Histopathology, Health Sciences Faculty; University of Brasília; Brasília DF Brazil
| | | | | | - Eliete Neves Silva Guerra
- Laboratory of Oral Histopathology, Health Sciences Faculty; University of Brasília; Brasília DF Brazil
| | - Ricardo D. Coletta
- Department of Oral Diagnosis, School of Dentistry; University of Campinas; Piracicaba SP Brazil
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105
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Yadav S, Chandra A, Kumar A, Mittal B. Association of TERT-CLPTM1L and 8q24 Common Genetic Variants with Gallbladder Cancer Susceptibility and Prognosis in North Indian Population. Biochem Genet 2018; 56:267-282. [PMID: 29450669 DOI: 10.1007/s10528-018-9843-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 01/27/2018] [Indexed: 12/21/2022]
Abstract
Gallbladder carcinoma (GBC) is one of the common malignancy of the biliary tract. Several genome wide and candidate gene studies have reported associations between multiple cancer types and single-nucleotide polymorphisms on 5p15.33 and 8q24.21 loci. However, predisposition potential of these genetic variants has not been assessed in GBC. We performed the present study to assess the potential of five polymorphisms on 5p15.33 and one on 8q24.21 locus in GBC risk and treatment response in patients undergoing chemoradiotherapy. We extracted genomic DNA from peripheral blood and genotyped selected SNPs using TaqMan allelic discrimination assays in 523 GBC cases and 274 controls from the north-Indian population. Statistical tests were performed to assess the association of selected common genetic variants with gallbladder cancer susceptibility and prognosis. Binary logistic regression analysis showed significant association of TERT rs2736100C > A [OR(CI) = 0.690(0.515-0.924), p value = 0.013], CLPTM1L rs401681C > T [OR(CI) = 0.586(0.405-0.847), p value = 0.004], and CASC8 rs6983267G > T [OR(CI) = 1.629(1.215-2.186), p value = 0.001] with GBC risk. Further, using multivariate logistic regression, we observed that haplotype CLPTM1L Crs401681Crs31489 TERT Trs2853676Ars2736100 MIR4457 Grs4635969 [OR(CI) = 7.52 (1.79-31.52), p value = 0.0064] is significantly associated with poor treatment response. In survival analysis, Kaplan-Meier survival curves showed significantly poor survival and COX regression suggested significantly higher hazard ratio in TT genotype carriers of CASC8 rs6983267 [OR(CI) = 4.28(1. 07-17.10), p value = 0.040] as compared to major allele and heterozygous (GG+GT) genotypes in metastatic GBC cases. The study revealed that 5p15.33 and 8q24.21 genetic variants significantly influence GBC risk and treatment response in north-Indian population.
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Affiliation(s)
- Saurabh Yadav
- Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, 226014, India
| | - Abhijit Chandra
- Department of Surgical Gastroenterology, King George's Medical University, Lucknow, Uttar Pradesh, 226003, India
| | - Ashok Kumar
- Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, 226014, India
| | - Balraj Mittal
- Department of Biotechnology, Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, 226025, India.
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106
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Alteration of Epigenetic Regulation by Long Noncoding RNAs in Cancer. Int J Mol Sci 2018; 19:ijms19020570. [PMID: 29443889 PMCID: PMC5855792 DOI: 10.3390/ijms19020570] [Citation(s) in RCA: 112] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 02/13/2018] [Accepted: 02/13/2018] [Indexed: 02/06/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) are important regulators of the epigenetic status of the human genome. Besides their participation to normal physiology, lncRNA expression and function have been already associated to many diseases, including cancer. By interacting with epigenetic regulators and by controlling chromatin topology, their misregulation may result in an aberrant regulation of gene expression that may contribute to tumorigenesis. Here, we review the functional role and mechanisms of action of lncRNAs implicated in the aberrant epigenetic regulation that has characterized cancer development and progression.
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107
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A Myc enhancer cluster regulates normal and leukaemic haematopoietic stem cell hierarchies. Nature 2018; 553:515-520. [PMID: 29342133 DOI: 10.1038/nature25193] [Citation(s) in RCA: 220] [Impact Index Per Article: 36.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Accepted: 12/04/2017] [Indexed: 12/11/2022]
Abstract
The transcription factor Myc is essential for the regulation of haematopoietic stem cells and progenitors and has a critical function in haematopoietic malignancies. Here we show that an evolutionarily conserved region located 1.7 megabases downstream of the Myc gene that has previously been labelled as a 'super-enhancer' is essential for the regulation of Myc expression levels in both normal haematopoietic and leukaemic stem cell hierarchies in mice and humans. Deletion of this region in mice leads to a complete loss of Myc expression in haematopoietic stem cells and progenitors. This caused an accumulation of differentiation-arrested multipotent progenitors and loss of myeloid and B cells, mimicking the phenotype caused by Mx1-Cre-mediated conditional deletion of the Myc gene in haematopoietic stem cells. This super-enhancer comprises multiple enhancer modules with selective activity that recruits a compendium of transcription factors, including GFI1b, RUNX1 and MYB. Analysis of mice carrying deletions of individual enhancer modules suggests that specific Myc expression levels throughout most of the haematopoietic hierarchy are controlled by the combinatorial and additive activity of individual enhancer modules, which collectively function as a 'blood enhancer cluster' (BENC). We show that BENC is also essential for the maintenance of MLL-AF9-driven leukaemia in mice. Furthermore, a BENC module, which controls Myc expression in mouse haematopoietic stem cells and progenitors, shows increased chromatin accessibility in human acute myeloid leukaemia stem cells compared to blasts. This difference correlates with MYC expression and patient outcome. We propose that clusters of enhancers, such as BENC, form highly combinatorial systems that allow precise control of gene expression across normal cellular hierarchies and which also can be hijacked in malignancies.
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108
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Cheng THT, Lam W, Teoh JYC. Molecular Basics on Genitourinary Malignancies. Urol Oncol 2018. [DOI: 10.1007/978-3-319-42603-7_45-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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109
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Netto GJ, Eich ML, Varambally S. Prostate Cancer: An Update on Molecular Pathology with Clinical Implications. EUR UROL SUPPL 2017. [DOI: 10.1016/j.eursup.2017.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
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110
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Smith CJ, Minas TZ, Ambs S. Analysis of Tumor Biology to Advance Cancer Health Disparity Research. THE AMERICAN JOURNAL OF PATHOLOGY 2017; 188:304-316. [PMID: 29137948 DOI: 10.1016/j.ajpath.2017.06.019] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 06/24/2017] [Accepted: 06/29/2017] [Indexed: 12/20/2022]
Abstract
Cancer mortality rates in the United States continue to decline. Reductions in tobacco use, uptake of preventive measures, adoption of early detection methods, and better treatments have resulted in improved cancer outcomes for men and women. Despite this progress, some population groups continue to experience an excessive cancer burden when compared with other population groups. One of the most prominent cancer health disparities exists in prostate cancer. Prostate cancer mortality rates are highest among men of African ancestry when compared with other men, both in the United States and globally. This disparity and other cancer health disparities are largely explained by differences in access to health care, diet, lifestyle, cultural barriers, and disparate exposures to carcinogens and pathogens. Dietary and lifestyle factors, pathogens, and ancestry-related factors can modify tumor biology and induce a more aggressive disease. There are numerous examples of how environmental exposures, like tobacco, chronic stress, or dietary factors, induce an adverse tumor biology, leading to a more aggressive disease and decreased patient survival. Because of population differences in the exposure to these risk factors, they can be the cause of cancer disparities. In this review, we will summarize recent advances in our understanding of prostate and breast cancer disparities in the United States and discuss how the analysis of tumor biology can advance health disparity research.
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Affiliation(s)
- Cheryl J Smith
- Laboratory of Human Carcinogenesis, Center of Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Tsion Z Minas
- Laboratory of Human Carcinogenesis, Center of Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center of Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
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111
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Sun X, Chandar AK, Canto MI, Thota PN, Brock M, Shaheen NJ, Beer DG, Wang JS, Falk GW, Iyer PG, Abrams JA, Venkat-Ramani M, Veigl M, Miron A, Willis J, Patil DT, Nalbantoglu I, Guda K, Markowitz SD, Zhu X, Elston R, Chak A. Genomic regions associated with susceptibility to Barrett's esophagus and esophageal adenocarcinoma in African Americans: The cross BETRNet admixture study. PLoS One 2017; 12:e0184962. [PMID: 29073141 PMCID: PMC5657624 DOI: 10.1371/journal.pone.0184962] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 09/04/2017] [Indexed: 12/20/2022] Open
Abstract
Background Barrett’s esophagus (BE) and esophageal adenocarcinoma (EAC) are far more prevalent in European Americans than in African Americans. Hypothesizing that this racial disparity in prevalence might represent a genetic susceptibility, we used an admixture mapping approach to interrogate disease association with genomic differences between European and African ancestry. Methods Formalin fixed paraffin embedded samples were identified from 54 African Americans with BE or EAC through review of surgical pathology databases at participating Barrett’s Esophagus Translational Research Network (BETRNet) institutions. DNA was extracted from normal tissue, and genotyped on the Illumina OmniQuad SNP chip. Case-only admixture mapping analysis was performed on the data from both all 54 cases and also on a subset of 28 cases with high genotyping quality. Haplotype phases were inferred with Beagle 3.3.2, and local African and European ancestries were inferred with SABER plus. Disease association was tested by estimating and testing excess European ancestry and contrasting it to excess African ancestry. Results Both datasets, the 54 cases and the 28 cases, identified two admixture regions. An association of excess European ancestry on chromosome 11p reached a 5% genome-wide significance threshold, corresponding to -log10(P) = 4.28. A second peak on chromosome 8q reached -log10(P) = 2.73. The converse analysis examining excess African ancestry found no genetic regions with significant excess African ancestry associated with BE and EAC. On average, the regions on chromosomes 8q and 11p showed excess European ancestry of 15% and 20%, respectively. Conclusions Chromosomal regions on 11p15 and 8q22-24 are associated with excess European ancestry in African Americans with BE and EAC. Because GWAS have not reported any variants in these two regions, low frequency and/or rare disease associated variants that confer susceptibility to developing BE and EAC may be driving the observed European ancestry association evidence.
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Affiliation(s)
- Xiangqing Sun
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America
| | - Apoorva K. Chandar
- Division of Gastroenterology and Hepatology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
| | - Marcia I. Canto
- Division of Gastroenterology and Hepatology, Johns Hopkins Medical Institutions, Baltimore, MD, United States of America
| | - Prashanthi N. Thota
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, OH, United States of America
| | - Malcom Brock
- Department of Cardiology and Thoracic Surgery, Johns Hopkins Medical Institutions, Baltimore, MD, United States of America
| | - Nicholas J. Shaheen
- Center for Esophageal Diseases & Swallowing, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, United States of America
| | - David G. Beer
- Thoracic Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, United States of America
| | - Jean S. Wang
- Division of Gastroenterology, Washington University School of Medicine, St Louis, MO, United States of America
| | - Gary W. Falk
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United states of America
| | - Prasad G. Iyer
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Julian A. Abrams
- Department of Medicine, Columbia University Medical Center, New York, NY, United States of America
| | - Medha Venkat-Ramani
- Division of Gastroenterology and Hepatology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
| | - Martina Veigl
- Division of General Medical Sciences (Oncology), Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
| | - Alexander Miron
- Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
| | - Joseph Willis
- Department of Pathology, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
| | - Deepa T. Patil
- Department of Pathology, Cleveland Clinic, Cleveland, OH, United States of America
| | - Ilke Nalbantoglu
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Kishore Guda
- Division of General Medical Sciences (Oncology), Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
| | - Sanford D. Markowitz
- Division of Oncology and Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America
| | - Robert Elston
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America
| | - Amitabh Chak
- Division of Gastroenterology and Hepatology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
- Division of General Medical Sciences (Oncology), Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
- * E-mail:
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112
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Ryan RJH, Petrovic J, Rausch DM, Zhou Y, Lareau CA, Kluk MJ, Christie AL, Lee WY, Tarjan DR, Guo B, Donohue LKH, Gillespie SM, Nardi V, Hochberg EP, Blacklow SC, Weinstock DM, Faryabi RB, Bernstein BE, Aster JC, Pear WS. A B Cell Regulome Links Notch to Downstream Oncogenic Pathways in Small B Cell Lymphomas. Cell Rep 2017; 21:784-797. [PMID: 29045844 PMCID: PMC5687286 DOI: 10.1016/j.celrep.2017.09.066] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 07/26/2017] [Accepted: 09/20/2017] [Indexed: 12/12/2022] Open
Abstract
Gain-of-function Notch mutations are recurrent in mature small B cell lymphomas such as mantle cell lymphoma (MCL) and chronic lymphocytic leukemia (CLL), but the Notch target genes that contribute to B cell oncogenesis are largely unknown. We performed integrative analysis of Notch-regulated transcripts, genomic binding of Notch transcription complexes, and genome conformation data to identify direct Notch target genes in MCL cell lines. This B cell Notch regulome is largely controlled through Notch-bound distal enhancers and includes genes involved in B cell receptor and cytokine signaling and the oncogene MYC, which sustains proliferation of Notch-dependent MCL cell lines via a Notch-regulated lineage-restricted enhancer complex. Expression of direct Notch target genes is associated with Notch activity in an MCL xenograft model and in CLL lymph node biopsies. Our findings provide key insights into the role of Notch in MCL and other B cell malignancies and have important implications for therapeutic targeting of Notch-dependent oncogenic pathways.
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Affiliation(s)
- Russell J H Ryan
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Jelena Petrovic
- Department of Pathology and Laboratory Medicine, Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dylan M Rausch
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Yeqiao Zhou
- Department of Pathology and Laboratory Medicine, Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Caleb A Lareau
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Michael J Kluk
- Department of Pathology, Weill Cornell School of Medicine, New York, NY 10065, USA
| | - Amanda L Christie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Winston Y Lee
- Department of Pathology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Daniel R Tarjan
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Bingqian Guo
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Laura K H Donohue
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Shawn M Gillespie
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Valentina Nardi
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ephraim P Hochberg
- Department of Medicine, MGH Cancer Center, Massachusetts General Hospital, Boston, MA 02140, USA
| | - Stephen C Blacklow
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - David M Weinstock
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Robert B Faryabi
- Department of Pathology and Laboratory Medicine, Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bradley E Bernstein
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA.
| | - Jon C Aster
- Department of Pathology, Brigham and Women's Hospital, Boston, MA 02115, USA.
| | - Warren S Pear
- Department of Pathology and Laboratory Medicine, Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
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113
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Schubert SA, Ruano D, Elsayed FA, Boot A, Crobach S, Sarasqueta AF, Wolffenbuttel B, van der Klauw MM, Oosting J, Tops CM, van Eijk R, Vasen HFA, Vossen RHAM, Nielsen M, Castellví-Bel S, Ruiz-Ponte C, Tomlinson I, Dunlop MG, Vodicka P, Wijnen JT, Hes FJ, Morreau H, de Miranda NFCC, Sijmons RH, van Wezel T. Evidence for genetic association between chromosome 1q loci and predisposition to colorectal neoplasia. Br J Cancer 2017; 117:1215-1223. [PMID: 28742792 PMCID: PMC5589990 DOI: 10.1038/bjc.2017.240] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 05/31/2017] [Accepted: 06/30/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND A substantial fraction of familial colorectal cancer (CRC) and polyposis heritability remains unexplained. This study aimed to identify predisposing loci in patients with these disorders. METHODS Homozygosity mapping was performed using 222 563 SNPs in 302 index patients with various colorectal neoplasms and 3367 controls. Linkage analysis, exome and whole-genome sequencing were performed in a family affected by microsatellite stable CRCs. Candidate variants were genotyped in 10 554 cases and 21 480 controls. Gene expression was assessed at the mRNA and protein level. RESULTS Homozygosity mapping revealed a disease-associated region at 1q32.3 which was part of the linkage region 1q32.2-42.2 identified in the CRC family. This includes a region previously associated with risk of CRC. Sequencing identified the p.Asp1432Glu variant in the MIA3 gene (known as TANGO1 or TANGO) and 472 additional rare, shared variants within the linkage region. In both cases and controls the population frequency was 0.02% for this MIA3 variant. The MIA3 mutant allele showed predominant mRNA expression in normal, cancer and precancerous tissues. Furthermore, immunohistochemistry revealed increased expression of MIA3 in adenomatous tissues. CONCLUSIONS Taken together, our two independent strategies associate genetic variations in chromosome 1q loci and predisposition to familial CRC and polyps, which warrants further investigation.
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Affiliation(s)
- Stephanie A Schubert
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Dina Ruano
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Fadwa A Elsayed
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Arnoud Boot
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Stijn Crobach
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Arantza Farina Sarasqueta
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Bruce Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, The Netherlands
| | - Melanie M van der Klauw
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, The Netherlands
| | - Jan Oosting
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Carli M Tops
- Department of Clinical Genetics, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Ronald van Eijk
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Hans FA Vasen
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Rolf HAM Vossen
- Department of Human Genetics, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Maartje Nielsen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Sergi Castellví-Bel
- Department of Gastroenterology, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Catalonia 08036, Spain
| | - Clara Ruiz-Ponte
- Fundación Pública Galega de Medicina Xenómica (FPGMX)-SERGAS, Grupo de Medicina Xenómica-USC, Instituto de Investigación Sanitaria de Santiago (IDIS), Centro de Investigación en Red de Enfermedades Raras (CIBERER), Santiago de Compostela 15706, Spain
| | - Ian Tomlinson
- Oxford Centre for Cancer Gene Research, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, MRC Human Genetics Unit, The University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Pavel Vodicka
- Institute of Experimental Medicine, Institute of Biology and Medical Genetics, Prague 142 00, Czech Republic
| | - Juul T Wijnen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Frederik J Hes
- Department of Clinical Genetics, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Hans Morreau
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Noel FCC de Miranda
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
| | - Rolf H Sijmons
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen 9700 RB, The Netherlands
| | - Tom van Wezel
- Department of Pathology, Leiden University Medical Center, Leiden University, Leiden 2300 RC, The Netherlands
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Association between 8q24 rs6983267 polymorphism and cancer susceptibility: a meta-analysis involving 170,737 subjects. Oncotarget 2017; 8:57421-57439. [PMID: 28915683 PMCID: PMC5593654 DOI: 10.18632/oncotarget.18960] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 06/17/2017] [Indexed: 01/25/2023] Open
Abstract
Published data on the association between 8q24 rs6983267 polymorphism and cancer risk are inconsistent. Thus, we conducted a meta-analysis to evaluate the relationship between rs6983267 polymorphism and cancer risk. We searched on PubMed, EMBASE, Web of Science and China National Knowledge Infrastructure (CNKI) up to November 1, 2016 for relevant studies. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the strength of this association. We included 78 case-control studies with a total of 73,996 cases and 96,741 controls in this meta-analysis. The pooled results showed that rs6983267 polymorphism was significantly associated with increased risk of overall cancer in all genetic models (dominant model: OR = 1.19, 95% CI = 1.13–1.26; recessive model: OR = 1.19, 95% CI = 1.14–1.25; homozygous model: OR= 1.31, 95% CI = 1.23–1.40; heterozygous model: OR = 1.14, 95% CI = 1.10–1.19; allelic model: OR = 1.14, 95% CI = 1.11–1.18). Stratified analyses indicated that rs6983267 significantly increased the risk of colorectal cancer in Caucasians, prostate cancer in Caucasians and Asians, thyroid cancer in Caucasians and lung cancer in Asians. When studies were stratified by study quality, source of controls and genotyping method, significant associations were especially found in the high quality studies, the publication-based studies, the hospital-based studies, and the PCR-RFLP studies. Additional well-designed studies with large samples should be performed to validate our results.
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Irizarry-Ramírez M, Kittles RA, Wang X, Salgado-Montilla J, Nogueras-González GM, Sánchez-Ortiz R, Guerrios L, Rivera K, Shah E, Prokhorova I, Roberson P, Troncoso P, Pettaway CA. Genetic ancestry and prostate cancer susceptibility SNPs in Puerto Rican and African American men. Prostate 2017; 77:1118-1127. [PMID: 28543179 PMCID: PMC5495141 DOI: 10.1002/pros.23368] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 04/28/2017] [Indexed: 12/18/2022]
Abstract
BACKGROUND The Puerto Rican (PR) population is a racially admixed population that has a high prostate cancer (PCa) mortality rate. We hypothesized in this pilot study that West African Ancestry (WAA) was associated with PCa in this heterogeneous (PR) population. METHODS A case/case and case/control study was performed. Controls, 207 African American (AA) and 133 PR were defined as men with no PCa, a serum PSA < 2.5 ng/mL and a negative rectal examination. Cases were patients with pathological specimens from radical prostatectomies (RP) (291 PR and 200 AA). DNA was extracted from whole blood of controls and from paraffin embedded normal seminal vesicle from the RPs. We assessed the association of PCa and aggressiveness with genetic ancestry using an ancestry informative marker panel (AIMs) and Wilcoxon rank-sum test and the association of PCa and aggressiveness with 15 previously PCa associated SNPs using Chi square test. Gleason Score (GS) and tumor stage (TS) were used to define low risk (GS ≤ 7[3 + 4]), TS ≤ pT2) and high risk (GS≥ 7[4 + 3], TS > pT2) PCa. Statistical analyses were done using SAS. RESULTS No difference in overall percent WAA was found between PR cases and controls. Among PR or AA cases WAA was not associated with disease severity based upon risk group, Gleason score or stage. Among AA controls WAA was significantly higher than in cases. The SNP rs7824364 (chromosome 8q24) PCa risk allele was significantly increased among cases versus controls for both AA (P < 0.0001) and PR (P = 0.0001) men. PR men with ≥1 risk allele exhibited a higher percent of WAA (39% vs 29%, P = 0.034). CONCLUSION The SNP rs7824364, a local marker of WAA in the 8q24 region was associated with PCa among both AA and PR men and with increased WAA among PR men. This novel relationship of PCA risk loci, WAA with PCa and its phenotype among PR men deserves further study.
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Affiliation(s)
- Margarita Irizarry-Ramírez
- Department of Graduate Studies, Clinical Laboratory Sciences, School of Health Professions, University of Puerto Rico, Medical Sciences Campus, San Juan Puerto Rico, Box 365067, SanJuan, Puerto Rico 00936, 787-758-2525 ext 7035
| | - Rick A. Kittles
- Department of Surgery, School of Medicine, University of Arizona, ;
| | - Xuemei Wang
- Department of Biostatistics University of Texas, M.D. Anderson Cancer Center, ;
| | - Jeannette Salgado-Montilla
- University of Puerto Rico/MD Anderson Cancer Center Partnership for Excellence in Cancer Research, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico,
| | | | | | | | - Keila Rivera
- Department of Pathology, School of Medicine, University of Puerto Rico, Medical Sciences Campus,
| | - Ebony Shah
- Department of Surgery, School of Medicine, University of Arizona, ;
| | - Ina Prokhorova
- Department of Pathology, University of Texas M.D. Anderson Cancer Center, ,
| | - Pamela Roberson
- Department of Urology, The University of Texas M.D. Anderson Cancer Center, ,
| | - Patricia Troncoso
- Department of Pathology, University of Texas M.D. Anderson Cancer Center, ,
| | - Curtis A. Pettaway
- Department of Urology, The University of Texas M.D. Anderson Cancer Center, ,
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Dave K, Sur I, Yan J, Zhang J, Kaasinen E, Zhong F, Blaas L, Li X, Kharazi S, Gustafsson C, De Paepe A, Månsson R, Taipale J. Mice deficient of Myc super-enhancer region reveal differential control mechanism between normal and pathological growth. eLife 2017; 6. [PMID: 28583252 PMCID: PMC5461110 DOI: 10.7554/elife.23382] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 04/18/2017] [Indexed: 12/18/2022] Open
Abstract
The gene desert upstream of the MYC oncogene on chromosome 8q24 contains susceptibility loci for several major forms of human cancer. The region shows high conservation between human and mouse and contains multiple MYC enhancers that are activated in tumor cells. However, the role of this region in normal development has not been addressed. Here we show that a 538 kb deletion of the entire MYC upstream super-enhancer region in mice results in 50% to 80% decrease in Myc expression in multiple tissues. The mice are viable and show no overt phenotype. However, they are resistant to tumorigenesis, and most normal cells isolated from them grow slowly in culture. These results reveal that only cells whose MYC activity is increased by serum or oncogenic driver mutations depend on the 8q24 super-enhancer region, and indicate that targeting the activity of this element is a promising strategy of cancer chemoprevention and therapy.
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Affiliation(s)
- Kashyap Dave
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Inderpreet Sur
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Jian Yan
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Jilin Zhang
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Eevi Kaasinen
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Fan Zhong
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Leander Blaas
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Xiaoze Li
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Shabnam Kharazi
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Charlotte Gustafsson
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ayla De Paepe
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Robert Månsson
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jussi Taipale
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.,Genome-Scale Biology Program, University of Helsinki, Helsinki, Finland
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Kalkat M, De Melo J, Hickman KA, Lourenco C, Redel C, Resetca D, Tamachi A, Tu WB, Penn LZ. MYC Deregulation in Primary Human Cancers. Genes (Basel) 2017; 8:genes8060151. [PMID: 28587062 PMCID: PMC5485515 DOI: 10.3390/genes8060151] [Citation(s) in RCA: 245] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Revised: 05/19/2017] [Accepted: 05/19/2017] [Indexed: 12/12/2022] Open
Abstract
MYC regulates a complex biological program by transcriptionally activating and repressing its numerous target genes. As such, MYC is a master regulator of many processes, including cell cycle entry, ribosome biogenesis, and metabolism. In cancer, the activity of the MYC transcriptional network is frequently deregulated, contributing to the initiation and maintenance of disease. Deregulation often leads to constitutive overexpression of MYC, which can be achieved through gross genetic abnormalities, including copy number alterations, chromosomal translocations, increased enhancer activity, or through aberrant signal transduction leading to increased MYC transcription or increased MYC mRNA and protein stability. Herein, we summarize the frequency and modes of MYC deregulation and describe both well-established and more recent findings in a variety of cancer types. Notably, these studies have highlighted that with an increased appreciation for the basic mechanisms deregulating MYC in cancer, new therapeutic vulnerabilities can be discovered and potentially exploited for the inhibition of this potent oncogene in cancer.
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Affiliation(s)
- Manpreet Kalkat
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
| | - Jason De Melo
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
| | - Katherine Ashley Hickman
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada.
| | - Corey Lourenco
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
| | - Cornelia Redel
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
| | - Diana Resetca
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
| | - Aaliya Tamachi
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
| | - William B Tu
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
| | - Linda Z Penn
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
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Barry KH, Moore LE, Sampson JN, Koutros S, Yan L, Meyer A, Reddy M, Oler AJ, Cook MB, Fraumeni Jr JF, Yeager M, Amundadottir LT, Berndt SI. Prospective study of DNA methylation at chromosome 8q24 in peripheral blood and prostate cancer risk. Br J Cancer 2017; 116:1470-1479. [PMID: 28463958 PMCID: PMC5520085 DOI: 10.1038/bjc.2017.104] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 03/17/2017] [Accepted: 03/23/2017] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Chromosome 8q24 has emerged as an important genetic susceptibility region for several cancers, including prostate cancer; however, little is known about the contribution of DNA methylation in this region to risk. METHODS We prospectively evaluated DNA methylation at 8q24 in relation to prostate cancer using pre-diagnostic blood samples from 694 prostate cancer cases (including 172 aggressive cases) and 703 controls in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. We used logistic regression to estimate odds ratios and 95% confidence intervals. RESULTS Although none remained significant after adjustment for multiple testing (q>0.05), of the 50 CpG sites meeting quality control, we identified 8 sites that were nominally associated with prostate cancer (Ptrend<0.05), including 6 correlated (Spearman ρ: 0.20-0.52) sites in POU5F1B and 2 intergenic sites (most significant site: Chr8:128428897 in POU5F1B, Ptrend=0.01). We also identified two correlated (ρ=0.39) sites in MYC (Chr8:128753187 and Chr8:128753154) that were associated with aggressive (Ptrend=0.02 and 0.03), but not non-aggressive disease (Ptrend=0.70 and 0.20; Pheterogeneity=0.01 and 4.6 × 10-3). These findings persisted after adjustment for the top 8q24 prostate cancer variants in our study. CONCLUSIONS Although requiring replication, our findings provide some evidence that 8q24 DNA methylation levels may be associated with prostate cancer risk.
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Affiliation(s)
- Kathryn Hughes Barry
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Program in Oncology, University of Maryland, Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD 21201, USA
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Lee E Moore
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Joshua N Sampson
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Liying Yan
- EpigenDx, Inc., Hopkinton, MA 01748, USA
| | - Ann Meyer
- EpigenDx, Inc., Hopkinton, MA 01748, USA
| | | | - Andrew J Oler
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA
| | - Michael B Cook
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Joseph F Fraumeni Jr
- Office of the Director, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Meredith Yeager
- Frederick National Laboratory for Cancer Research, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Laufey T Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Sonja I Berndt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
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Shen C, Liu Y, Shi S, Zhang R, Zhang T, Xu Q, Zhu P, Chen X, Lu F. Long-distance interaction of the integrated HPV fragment with MYC gene and 8q24.22 region upregulating the allele-specific MYC expression in HeLa cells. Int J Cancer 2017; 141:540-548. [PMID: 28470669 PMCID: PMC5518216 DOI: 10.1002/ijc.30763] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 03/15/2017] [Accepted: 04/24/2017] [Indexed: 12/17/2022]
Abstract
Human papillomavirus (HPV) infection is the most important risk factor for cervical cancer development. In HeLa cell line, the HPV viral genome is integrated at 8q24 in one allele of chromosome 8. It has been reported that the HPV fragment integrated in HeLa genome can cis‐activate the expression of proto‐oncogene MYC, which is located at 500 kb downstream of the integrated site. However, the underlying molecular mechanism of this regulation is unknown. A recent study reported that MYC was highly expressed exclusively from the HPV‐integrated haplotype, and a long‐range chromatin interaction between the integrated HPV fragment and MYC gene has been hypothesized. In this study, we provided the experimental evidences supporting this long‐range chromatin interaction in HeLa cells by using Chromosome Conformation Capture (3C) method. We found that the integrated HPV fragment, MYC and 8q24.22 was close to each other and might form a trimer in spatial location. When knocking out the integrated HPV fragment or 8q24.22 region from chromosome 8 by CRISPR/Cas9 system, the expression of MYC reduced dramatically in HeLa cells. Interestingly, decreased expression was only observed in three from eight cell clones, when only one 8q24.22 allele was knocked out. Functionally, HPV knockout caused senescence‐associated acidic β‐gal activity in HeLa cells. These data indicate a long‐distance interaction of the integrated HPV fragment with MYC gene and 8q24.22 region, providing an alternative mechanism relevant to the carcinogenicity of HPV integration. What's new? Infection with human papillomavirus (HPV) is a well‐established risk factor for cervical cancer. The mechanism by which HPV integration into the host genome influences cervical oncogenesis, however, is not fully understood. Using chromosome conformation capture, the authors of this study provide evidence for carcinogenic involvement of a long‐range chromatin interaction between integrated HPV fragments, the proto‐oncogene MYC, and the 8q24.22 chromosomal region in HeLa cells. Knock‐out of either the integrated HPV fragment or the 8q24.22 region in HeLa cells significantly reduced MYC expression. The findings offer an alternative explanation for the carcinogenic mechanism of HPV viral genome integration.
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Affiliation(s)
- Congle Shen
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Yongzhen Liu
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Shu Shi
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Ruiyang Zhang
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Ting Zhang
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Qiang Xu
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Pengfei Zhu
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiangmei Chen
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Fengmin Lu
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
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Sarrafzadeh S, Geranpayeh L, Tasharrofi B, Soudyab M, Nikpayam E, Iranpour M, Mirfakhraie R, Gharesouran J, Ghafouri-Fard S, Ghafouri-Fard S. Expression Study and Clinical Correlations of MYC and CCAT2 in Breast Cancer Patients. IRANIAN BIOMEDICAL JOURNAL 2017; 21:303-11. [PMID: 28480695 PMCID: PMC5548962 DOI: 10.18869/acadpub.ibj.21.5.303] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background: Colon cancer-associated transcript 2 (CCAT2) is a newly recognized lncRNA transcribed from the 8q24 genomic region. It functions as an oncogene in various types of cancers including breast cancer, in which it affects Wnt/β-catenin pathway. Previous studies have shown a putative interaction between this lncRNA and MYC proto-oncogene. Methods: In the current study, we evaluated the expression of CCAT2 in breast cancer tissues with regards to the expression of its target MYC. In addition, we assessed the relationship between CCAT2 and MYC expression levels in tumor tissues and the clinical prognostic characteristics of breast cancer patients. Results: MYC expression levels were significantly up-regulated in tumor tissues compared with adjacent non-cancerous tissues (ANCTs), while such analysis showed no statistically significant difference between these two tissue types in CCAT2 expression. Starkly increased CCAT2 gene expression levels were found in 12/48 (25%) of cancer tissue samples compared with their corresponding ANCTs. Furthermore, significant inverse correlations were found between CCAT2 expression and stage, as well as lymph node involvement. Besides, a significant inverse correlation was found between the relative MYC expression in tumor tissues compared with their corresponding ANCTs and disease stage. Conclusions: These results highlight the significance of MYC and CCAT2 expressions in the early stages of breast cancer development and suggest a potentially significant role for CCAT2 in a subset of breast cancer patients, which could be applied as a potential therapeutic target in these patients.
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Affiliation(s)
- Shaghayegh Sarrafzadeh
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Lobat Geranpayeh
- Department of Surgery, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Behnoosh Tasharrofi
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Soudyab
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elahe Nikpayam
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mostafa Iranpour
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reza Mirfakhraie
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jalal Gharesouran
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Somayyeh Ghafouri-Fard
- Department of Community and Preventive Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Evan GI, Hah N, Littlewood TD, Sodir NM, Campos T, Downes M, Evans RM. Re-engineering the Pancreas Tumor Microenvironment: A "Regenerative Program" Hacked. Clin Cancer Res 2017; 23:1647-1655. [PMID: 28373363 PMCID: PMC5381729 DOI: 10.1158/1078-0432.ccr-16-3275] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Revised: 01/26/2017] [Accepted: 01/30/2017] [Indexed: 12/20/2022]
Abstract
The "hallmarks" of pancreatic ductal adenocarcinoma (PDAC) include proliferative, invasive, and metastatic tumor cells and an associated dense desmoplasia comprised of fibroblasts, pancreatic stellate cells, extracellular matrix, and immune cells. The oncogenically activated pancreatic epithelium and its associated stroma are obligatorily interdependent, with the resulting inflammatory and immunosuppressive microenvironment contributing greatly to the evolution and maintenance of PDAC. The peculiar pancreas-specific tumor phenotype is a consequence of oncogenes hacking the resident pancreas regenerative program, a tissue-specific repair mechanism regulated by discrete super enhancer networks. Defined as genomic regions containing clusters of multiple enhancers, super enhancers play pivotal roles in cell/tissue specification, identity, and maintenance. Hence, interfering with such super enhancer-driven repair networks should exert a disproportionately disruptive effect on tumor versus normal pancreatic tissue. Novel drugs that directly or indirectly inhibit processes regulating epigenetic status and integrity, including those driven by histone deacetylases, histone methyltransferase and hydroxylases, DNA methyltransferases, various metabolic enzymes, and bromodomain and extraterminal motif proteins, have shown the feasibility of disrupting super enhancer-dependent transcription in treating multiple tumor types, including PDAC. The idea that pancreatic adenocarcinomas rely on embedded super enhancer transcriptional mechanisms suggests a vulnerability that can be potentially targeted as novel therapies for this intractable disease. Clin Cancer Res; 23(7); 1647-55. ©2017 AACRSee all articles in this CCR Focus section, "Pancreatic Cancer: Challenge and Inspiration."
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Affiliation(s)
- Gerard I Evan
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.
| | - Nasun Hah
- Gene Expression Laboratory, The Salk Institute for Biological Studies, La Jolla, California
| | - Trevor D Littlewood
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - Nicole M Sodir
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - Tania Campos
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - Michael Downes
- Gene Expression Laboratory, The Salk Institute for Biological Studies, La Jolla, California
| | - Ronald M Evans
- Gene Expression Laboratory, The Salk Institute for Biological Studies, La Jolla, California.
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, California
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Vaidyanathan V, Naidu V, Kao CHJ, Karunasinghe N, Bishop KS, Wang A, Pallati R, Shepherd P, Masters J, Zhu S, Goudie M, Krishnan M, Jabed A, Marlow G, Narayanan A, Ferguson LR. Environmental factors and risk of aggressive prostate cancer among a population of New Zealand men - a genotypic approach. MOLECULAR BIOSYSTEMS 2017; 13:681-698. [PMID: 28252132 DOI: 10.1039/c6mb00873a] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Prostate cancer is one of the most significant health concerns for men worldwide. Numerous researchers carrying out molecular diagnostics have indicated that genetic interactions with biological and behavioral factors play an important role in the overall risk and prognosis of this disease. Single nucleotide polymorphisms (SNPs) are increasingly becoming strong biomarker candidates to identify susceptibility to prostate cancer. We carried out a gene × environment interaction analysis linked to aggressive and non-aggressive prostate cancer (PCa) with a number of SNPs. By using this method, we identified the susceptible alleles in a New Zealand population, and examined the interaction with environmental factors. We have identified a number of SNPs that have risk associations both with and without environmental interaction. The results indicate that certain SNPs are associated with disease vulnerability based on behavioral factors. The list of genes with SNPs identified as being associated with the risk of PCa in a New Zealand population is provided in the graphical abstract.
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Affiliation(s)
- Venkatesh Vaidyanathan
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand. and Auckland Cancer Society Research Centre, Auckland 1023, New Zealand.
| | - Vijay Naidu
- School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
| | - Chi Hsiu-Juei Kao
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand. and Auckland Cancer Society Research Centre, Auckland 1023, New Zealand.
| | | | - Karen S Bishop
- Auckland Cancer Society Research Centre, Auckland 1023, New Zealand.
| | - Alice Wang
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand. and Auckland Cancer Society Research Centre, Auckland 1023, New Zealand.
| | - Radha Pallati
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand.
| | - Phillip Shepherd
- Sequenom Facility, Liggins Institute, University of Auckland, Auckland 1023, New Zealand.
| | - Jonathan Masters
- Urology Department, Auckland District Health Board, Auckland, New Zealand.
| | - Shuotun Zhu
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand. and Auckland Cancer Society Research Centre, Auckland 1023, New Zealand.
| | - Megan Goudie
- Urology Department, Auckland District Health Board, Auckland, New Zealand.
| | - Mohanraj Krishnan
- Department of Obstetrics and Gynaecology, FMHS, University of Auckland, Auckland 1023, New Zealand.
| | - Anower Jabed
- Department of Molecular Medicine and Pathology, FM & HS, University of Auckland, Auckland 1023, New Zealand.
| | - Gareth Marlow
- Experimental Cancer Medicine Centre, Cardiff University, Cardiff, CF14 4XN, UK.
| | - Ajit Narayanan
- School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
| | - Lynnette R Ferguson
- Discipline of Nutrition and Dietetics, FM & HS, University of Auckland, Auckland 1023, New Zealand. and Auckland Cancer Society Research Centre, Auckland 1023, New Zealand.
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123
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Dimitrakopoulou VI, Travis RC, Shui IM, Mondul A, Albanes D, Virtamo J, Agudo A, Boeing H, Bueno-de-Mesquita HB, Gunter MJ, Johansson M, Khaw KT, Overvad K, Palli D, Trichopoulou A, Giovannucci E, Hunter DJ, Lindström S, Willett W, Gaziano JM, Stampfer M, Berg C, Berndt SI, Black A, Hoover RN, Kraft P, Key TJ, Tsilidis KK. Interactions Between Genome-Wide Significant Genetic Variants and Circulating Concentrations of 25-Hydroxyvitamin D in Relation to Prostate Cancer Risk in the National Cancer Institute BPC3. Am J Epidemiol 2017; 185:452-464. [PMID: 28399564 PMCID: PMC5856084 DOI: 10.1093/aje/kww143] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 03/01/2016] [Indexed: 02/06/2023] Open
Abstract
Genome-wide association studies (GWAS) have identified over 100 single nucleotide polymorphisms (SNPs) associated with prostate cancer. However, information on the mechanistic basis for some associations is limited. Recent research has been directed towards the potential association of vitamin D concentrations and prostate cancer, but little is known about whether the aforementioned genetic associations are modified by vitamin D. We investigated the associations of 46 GWAS-identified SNPs, circulating concentrations of 25-hydroxyvitamin D (25(OH)D), and prostate cancer (3,811 cases, 511 of whom died from the disease, compared with 2,980 controls-from 5 cohort studies that recruited participants over several periods beginning in the 1980s). We used logistic regression models with data from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3) to evaluate interactions on the multiplicative and additive scales. After allowing for multiple testing, none of the SNPs examined was significantly associated with 25(OH)D concentration, and the SNP-prostate cancer associations did not differ by these concentrations. A statistically significant interaction was observed for each of 2 SNPs in the 8q24 region (rs620861 and rs16902094), 25(OH)D concentration, and fatal prostate cancer on both multiplicative and additive scales (P ≤ 0.001). We did not find strong evidence that associations between GWAS-identified SNPs and prostate cancer are modified by circulating concentrations of 25(OH)D. The intriguing interactions between rs620861 and rs16902094, 25(OH)D concentration, and fatal prostate cancer warrant replication.
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Affiliation(s)
- Vasiliki I. Dimitrakopoulou
- Correspondence to Dr. Vasiliki I. Dimitrakopoulou, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Stavros Niarchos Avenue, University Campus, Ioannina, Greece (e-mail: )
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Long Non-Coding RNA as Potential Biomarker for Prostate Cancer: Is It Making a Difference? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14030270. [PMID: 28272371 PMCID: PMC5369106 DOI: 10.3390/ijerph14030270] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 02/24/2017] [Indexed: 12/20/2022]
Abstract
Whole genome transcriptomic analyses have identified numerous long non-coding RNA (lncRNA) transcripts that are increasingly implicated in cancer biology. LncRNAs are found to promote essential cancer cell functions such as proliferation, invasion, and metastasis, with the potential to serve as novel biomarkers of various cancers and to further reveal uncharacterized aspects of tumor biology. However, the biological and molecular mechanisms as well as the clinical applications of lncRNAs in diverse diseases are not completely understood, and remain to be fully explored. LncRNAs may be critical players and regulators in prostate cancer carcinogenesis and progression, and could serve as potential biomarkers for prostate cancer. This review focuses on lncRNA biomarkers that are already available for clinical use and provides an overview of lncRNA biomarkers that are under investigation for clinical development in prostate cancer.
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125
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Massie CE, Mills IG, Lynch AG. The importance of DNA methylation in prostate cancer development. J Steroid Biochem Mol Biol 2017; 166:1-15. [PMID: 27117390 DOI: 10.1016/j.jsbmb.2016.04.009] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2016] [Revised: 04/09/2016] [Accepted: 04/17/2016] [Indexed: 02/08/2023]
Abstract
After briefly reviewing the nature of DNA methylation, its general role in cancer and the tools available to interrogate it, we consider the literature surrounding DNA methylation as relating to prostate cancer. Specific consideration is given to recurrent alterations. A list of frequently reported genes is synthesized from 17 studies that have reported on methylation changes in malignant prostate tissue, and we chart the timing of those changes in the diseases history through amalgamation of several previously published data sets. We also review associations with genetic alterations and hormone signalling, before the practicalities of investigating prostate cancer methylation using cell lines are assessed. We conclude by outlining the interplay between DNA methylation and prostate cancer metabolism and their regulation by androgen receptor, with a specific discussion of the mitochondria and their associations with DNA methylation.
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Affiliation(s)
- Charles E Massie
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Ian G Mills
- Prostate Cancer Research Group, Centre for Molecular Medicine (Norway), University of Oslo and Oslo University Hospitals, Gaustadalleen, Oslo, Norway; Department of Molecular Oncology, Oslo University Hospitals, Oslo, Norway; PCUK/Movember Centre of Excellence for Prostate Cancer Research, Centre for Cancer Research and Cell Biology (CCRCB), Queen's University Belfast, Belfast, UK
| | - Andy G Lynch
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, UK.
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126
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The NOTCH1-MYC highway toward T-cell acute lymphoblastic leukemia. Blood 2017; 129:1124-1133. [PMID: 28115368 DOI: 10.1182/blood-2016-09-692582] [Citation(s) in RCA: 160] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 11/14/2016] [Indexed: 12/21/2022] Open
Abstract
T-cell acute lymphoblastic leukemia (T-ALL) is a highly proliferative hematologic malignancy that results from the transformation of immature T-cell progenitors. Aberrant cell growth and proliferation in T-ALL lymphoblasts are sustained by activation of strong oncogenic drivers promoting cell anabolism and cell cycle progression. Oncogenic NOTCH signaling, which is activated in more than 65% of T-ALL patients by activating mutations in the NOTCH1 gene, has emerged as a major regulator of leukemia cell growth and metabolism. T-ALL NOTCH1 mutations result in ligand-independent and sustained NOTCH1-receptor signaling, which translates into activation of a broad transcriptional program dominated by upregulation of genes involved in anabolic pathways. Among these, the MYC oncogene plays a major role in NOTCH1-induced transformation. As result, the oncogenic activity of NOTCH1 in T-ALL is strictly dependent on MYC upregulation, which makes the NOTCH1-MYC regulatory circuit an attractive therapeutic target for the treatment of T-ALL.
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127
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Zacksenhaus E, Liu J, Jiang Z, Yao Y, Xia L, Shrestha M, Ben-David Y. Transcription Factors in Breast Cancer—Lessons From Recent Genomic Analyses and Therapeutic Implications. CHROMATIN PROTEINS AND TRANSCRIPTION FACTORS AS THERAPEUTIC TARGETS 2017; 107:223-273. [DOI: 10.1016/bs.apcsb.2016.10.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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128
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Abstract
Prostate cancer rates vary substantially by race, ethnicity, and geography. These disparities can be explained by variation in access to screening and treatment, variation in exposure to prostate cancer risk factors, and variation in the underlying biology of prostate carcinogenesis (including genomic propensity of some groups to develop biologically aggressive disease). It is clear that access to screening and access to treatment are critical influencing factors of prostate cancer rates; yet, even among geographically diverse populations with similar access to care (eg, low- and medium-income countries), African descent men have higher prostate cancer rates and poorer prognosis. To date, the proportion of prostate cancer that can be explained by environmental exposures is small, and the effect of these factors across different racial, ethnic, or geographical populations is poorly understood. In contrast, prostate cancer has one of the highest heritabilities of all major cancers. Numerous genetic susceptibility markers have been identified from family-based studies, candidate gene association studies, and genome-wide association studies. Some prostate cancer loci, including the risk loci found at chromosome 8q24, have consistent effects in all groups studied to date. However, replication of many susceptibility loci across race, ethnicity, and geography remains limited, and additional studies in certain populations (particularly in men of African descent) are needed to better understand the underlying genetic basis of prostate cancer.
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Affiliation(s)
- Timothy R Rebbeck
- Department of Medical Oncology Dana Farber Cancer Institute, Boston, MA; Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA.
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129
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Abstract
Recent advances in chromosome conformation capture technologies are improving the current appreciation of how 3D genome architecture affects its function in different cell types and disease. Long-range chromatin interactions are organized into topologically associated domains, which are known to play a role in constraining gene expression patterns. However, in cancer cells there are alterations in the 3D genome structure, which impacts on gene regulation. Disruption of topologically associated domains architecture can result in alterations in chromatin interactions that bring new regulatory elements and genes together, leading to altered expression of oncogenes and tumor suppressor genes. Here, we discuss the impact of genetic and epigenetic changes in cancer and how this affects the spatial organization of chromatin. Understanding how disruptions to the 3D architecture contribute to the cancer genome will provide novel insights into the principles of epigenetic gene regulation in cancer and mechanisms responsible for cancer associated mutations and rearrangements.
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Affiliation(s)
- Joanna Achinger-Kawecka
- Epigenetics Research Laboratory, Genomics & Epigenetics Division, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, NSW 2010, Australia
- St. Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Darlinghurst, NSW 2010, Australia
| | - Susan J Clark
- Epigenetics Research Laboratory, Genomics & Epigenetics Division, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, NSW 2010, Australia
- St. Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Darlinghurst, NSW 2010, Australia
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130
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Amos CI, Dennis J, Wang Z, Byun J, Schumacher FR, Gayther SA, Casey G, Hunter DJ, Sellers TA, Gruber SB, Dunning AM, Michailidou K, Fachal L, Doheny K, Spurdle AB, Li Y, Xiao X, Romm J, Pugh E, Coetzee GA, Hazelett DJ, Bojesen SE, Caga-Anan C, Haiman CA, Kamal A, Luccarini C, Tessier D, Vincent D, Bacot F, Van Den Berg DJ, Nelson S, Demetriades S, Goldgar DE, Couch FJ, Forman JL, Giles GG, Conti DV, Bickeböller H, Risch A, Waldenberger M, Brüske-Hohlfeld I, Hicks BD, Ling H, McGuffog L, Lee A, Kuchenbaecker K, Soucy P, Manz J, Cunningham JM, Butterbach K, Kote-Jarai Z, Kraft P, FitzGerald L, Lindström S, Adams M, McKay JD, Phelan CM, Benlloch S, Kelemen LE, Brennan P, Riggan M, O'Mara TA, Shen H, Shi Y, Thompson DJ, Goodman MT, Nielsen SF, Berchuck A, Laboissiere S, Schmit SL, Shelford T, Edlund CK, Taylor JA, Field JK, Park SK, Offit K, Thomassen M, Schmutzler R, Ottini L, Hung RJ, Marchini J, Amin Al Olama A, Peters U, Eeles RA, Seldin MF, Gillanders E, Seminara D, Antoniou AC, Pharoah PDP, Chenevix-Trench G, Chanock SJ, Simard J, Easton DF. The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers. Cancer Epidemiol Biomarkers Prev 2017; 26:126-135. [PMID: 27697780 PMCID: PMC5224974 DOI: 10.1158/1055-9965.epi-16-0106] [Citation(s) in RCA: 243] [Impact Index Per Article: 34.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 06/30/2016] [Accepted: 07/29/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. METHODS The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. RESULTS The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. CONCLUSIONS Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. IMPACT Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126-35. ©2016 AACR.
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Affiliation(s)
- Christopher I Amos
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Zhaoming Wang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jinyoung Byun
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Fredrick R Schumacher
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Simon A Gayther
- The Center for Bioinformatics and Functional Genomics at Cedars Sinai Medical Center, Greater Los Angeles Area, Los Angeles, California
| | - Graham Casey
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - David J Hunter
- Department of Epidemiology, Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Thomas A Sellers
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Stephen B Gruber
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Laura Fachal
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Kimberly Doheny
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Amanda B Spurdle
- Molecular Cancer Epidemiology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Yafang Li
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Xiangjun Xiao
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Jane Romm
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Elizabeth Pugh
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | | | | | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Charlisse Caga-Anan
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Christopher A Haiman
- The Center for Bioinformatics and Functional Genomics at Cedars Sinai Medical Center, Greater Los Angeles Area, Los Angeles, California
| | - Ahsan Kamal
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Daniel Tessier
- Génome Québec Innovation Centre, Montreal, Canada and McGill University, Montreal, Canada
| | - Daniel Vincent
- Génome Québec Innovation Centre, Montreal, Canada and McGill University, Montreal, Canada
| | - François Bacot
- Génome Québec Innovation Centre, Montreal, Canada and McGill University, Montreal, Canada
| | - David J Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Stefanie Nelson
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Stephen Demetriades
- University Health Network- The Princess Margaret Cancer Centre, Toronto, California
| | | | | | - Judith L Forman
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Cancer, Genetics and Immunology, Menzies Institute for Medical Research, Hobart, Australia
| | - David V Conti
- Division of Biostatistics, Department of Preventive Medicine, Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University, Göttingen, Germany
| | - Angela Risch
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg, Member of the German Center for Lung Research, Heidelberg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Irene Brüske-Hohlfeld
- Helmholtz Zentrum München, Institut für Epidemiologie I, Neuherberg, Oberschleissheim, Germany
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Hua Ling
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Lesley McGuffog
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Cancer, Genetics and Immunology, Menzies Institute for Medical Research, Hobart, Australia
| | - Andrew Lee
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Karoline Kuchenbaecker
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Penny Soucy
- Cancer Genomics Laboratory, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Canada
| | - Judith Manz
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Katja Butterbach
- Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | | | - Peter Kraft
- Department of Epidemiology, Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Liesel FitzGerald
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Cancer, Genetics and Immunology, Menzies Institute for Medical Research, Hobart, Australia
| | - Sara Lindström
- Department of Epidemiology, Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Marcia Adams
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - James D McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Catherine M Phelan
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Sara Benlloch
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Linda E Kelemen
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Marjorie Riggan
- Department of Gynecology, Duke University Medical Center, Durham, North Carolina
| | - Tracy A O'Mara
- Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing, P.R. China
| | - Yongyong Shi
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Deborah J Thompson
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | | | - Sune F Nielsen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Oncology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Andrew Berchuck
- Department of Gynecology, Duke University Medical Center, Durham, North Carolina
| | - Sylvie Laboissiere
- Génome Québec Innovation Centre, Montreal, Canada and McGill University, Montreal, Canada
| | - Stephanie L Schmit
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida
| | - Tameka Shelford
- Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Christopher K Edlund
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Jack A Taylor
- Molecular and Genetic Epidemiology Group, National Institute for Environmental Health Sciences, Research Triangle Park, North Carolina
| | - John K Field
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Sue K Park
- College of Medicine, Seoul National University, Gwanak-gu, Seoul, Korea
| | - Kenneth Offit
- Clinical Genetics Service, Memorial Hospital, New York, New York
- Cancer Biology and Genetics Program, Sloan Kettering Institute, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Mads Thomassen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Rita Schmutzler
- Zentrum Familiärer Brust- und Eierstockkrebs, Universitätsklinikum Köln, Köln, Germany
| | - Laura Ottini
- Department of Molecular Medicine, Sapienza, University of Rome, Rome, Italy
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, University of Toronto, Toronto, Canada
| | | | - Ali Amin Al Olama
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | | | - Michael F Seldin
- Department of Biochemistry and Molecular Medicine, University of California at Davis, Davis, California
- Department of Internal Medicine, University of California at Davis, Davis, California
| | - Elizabeth Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Daniela Seminara
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | | | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Jacques Simard
- Cancer Genomics Laboratory, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Canada
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
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Du M, Wang L. 3C-digital PCR for quantification of chromatin interactions. BMC Mol Biol 2016; 17:23. [PMID: 27923366 PMCID: PMC5139078 DOI: 10.1186/s12867-016-0076-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 12/01/2016] [Indexed: 01/16/2023] Open
Abstract
Background Chromosome conformation capture (3C) is a powerful and widely used technique for detecting the physical interactions between chromatin regions in vivo. The principle of 3C is to convert physical chromatin interactions into specific DNA ligation products, which are then detected by quantitative polymerase chain reaction (qPCR). However, 3C-qPCR assays are often complicated by the necessity of normalization controls to correct for amplification biases. In addition, qPCR is often limited to a certain cycle number, making it difficult to detect fragment ligations with low frequency. Recently, digital PCR (dPCR) technology has become available, which allows for highly sensitive nucleic acid quantification. Main advantage of dPCR is its high precision of absolute nucleic acid quantification without requirement of normalization controls. Results To demonstrate the utility of dPCR in quantifying chromatin interactions, we examined two prostate cancer risk loci at 8q24 and 2p11.2 for their interaction target genes MYC and CAPG in LNCaP cell line. We designed anchor and testing primers at known regulatory element fragments and target gene regions, respectively. dPCR results showed that interaction frequency between the regulatory element and MYC gene promoter was 0.7 (95% CI 0.40–1.10) copies per 1000 genome copies while other regions showed relatively low ligation frequencies. The dPCR results also showed that the ligation frequencies between the regulatory element and two EcoRI fragments containing CAPG gene promoter were 1.9 copies (95% CI 1.41–2.47) and 1.3 copies per 1000 genome copies (95% CI 0.76–1.92), respectively, while the interaction signals were reduced on either side of the promoter region of CAPG gene. Additionally, we observed comparable results from 3C-dPCR and 3C-qPCR at 2p11.2 in another cell line (DU145). Conclusions Compared to traditional 3C-qPCR, our results show that 3C-dPCR is much simpler and more sensitive to detect weak chromatin interactions. It may eliminate multiple and complex normalization controls and provide accurate calculation of proximity-based fragment ligation frequency. Therefore, we recommend 3C-dPCR as a preferred method for sensitive detection of low frequency chromatin interactions. Electronic supplementary material The online version of this article (doi:10.1186/s12867-016-0076-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Meijun Du
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | - Liang Wang
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
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Ross-Adams H, Ball S, Lawrenson K, Halim S, Russell R, Wells C, Strand SH, Ørntoft TF, Larson M, Armasu S, Massie CE, Asim M, Mortensen MM, Borre M, Woodfine K, Warren AY, Lamb AD, Kay J, Whitaker H, Ramos-Montoya A, Murrell A, Sørensen KD, Fridley BL, Goode EL, Gayther SA, Masters J, Neal DE, Mills IG. HNF1B variants associate with promoter methylation and regulate gene networks activated in prostate and ovarian cancer. Oncotarget 2016; 7:74734-74746. [PMID: 27732966 PMCID: PMC5342698 DOI: 10.18632/oncotarget.12543] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 09/26/2016] [Indexed: 12/21/2022] Open
Abstract
Two independent regions within HNF1B are consistently identified in prostate and ovarian cancer genome-wide association studies (GWAS); their functional roles are unclear. We link prostate cancer (PC) risk SNPs rs11649743 and rs3760511 with elevated HNF1B gene expression and allele-specific epigenetic silencing, and outline a mechanism by which common risk variants could effect functional changes that increase disease risk: functional assays suggest that HNF1B is a pro-differentiation factor that suppresses epithelial-to-mesenchymal transition (EMT) in unmethylated, healthy tissues. This tumor-suppressor activity is lost when HNF1B is silenced by promoter methylation in the progression to PC. Epigenetic inactivation of HNF1B in ovarian cancer also associates with known risk SNPs, with a similar impact on EMT. This represents one of the first comprehensive studies into the pleiotropic role of a GWAS-associated transcription factor across distinct cancer types, and is the first to describe a conserved role for a multi-cancer genetic risk factor.
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Affiliation(s)
- Helen Ross-Adams
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Stephen Ball
- Prostate Cancer Research Centre, University College London, London, UK
| | - Kate Lawrenson
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
| | - Silvia Halim
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Roslin Russell
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Claire Wells
- Division of Cancer Studies, King's College London, London, UK
| | - Siri H. Strand
- Department of Molecular Medicine, Aarhus University Hospital, Denmark
| | - Torben F. Ørntoft
- Department of Molecular Medicine, Aarhus University Hospital, Denmark
| | | | | | - Charles E. Massie
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Mohammad Asim
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | - Michael Borre
- Department of Urology, Aarhus University Hospital, Aarhus, Denmark
| | - Kathryn Woodfine
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Anne Y. Warren
- Department of Pathology, Addenbrooke's Hospital, Cambridge, UK
| | - Alastair D. Lamb
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Urology, Addenbrooke's Hospital, Cambridge, UK
| | - Jonathan Kay
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Molecular Diagnostics and Therapeutics Group, University College London, London, UK
| | - Hayley Whitaker
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Molecular Diagnostics and Therapeutics Group, University College London, London, UK
| | | | - Adele Murrell
- Department of Biology and Biochemistry, University of Bath, Centre for Regenerative Medicine, Claverton Down, Bath, UK
| | | | - Brooke L. Fridley
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS, USA
| | | | - Simon A. Gayther
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
| | - John Masters
- Prostate Cancer Research Centre, University College London, London, UK
| | - David E. Neal
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Urology, Addenbrooke's Hospital, Cambridge, UK
| | - Ian G. Mills
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Prostate Cancer Research Group, Centre for Molecular Medicine Norway, Nordic EMBL Partnership, University of Oslo and Oslo University Hospital, Oslo, Norway
- Departments of Cancer Prevention and Urology, Institute of Cancer Research and Department of Urology, Oslo University Hospital, Oslo, Norway
- Prostate Cancer UK/Movember Centre of Excellence for Prostate Cancer Research, Centre for Cancer Research and Cell Biology, Queens University Belfast, Belfast, UK
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133
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Common variations in TERT-CLPTM1L locus are reproducibly associated with the risk of nasopharyngeal carcinoma in Chinese populations. Oncotarget 2016; 7:759-70. [PMID: 26621837 PMCID: PMC4808031 DOI: 10.18632/oncotarget.6397] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Accepted: 11/14/2015] [Indexed: 12/27/2022] Open
Abstract
Associations between single nucleotide polymorphisms (SNPs) at 5p15 (TERT-CLPTM1L) and multiple cancer types have been reported. We examined whether polymorphisms in the TERT-CLPTM1L locus were related to the risk of developing nasopharyngeal carcinoma (NPC) among Chinese populations. In the first stage, 26 tag SNPs were genotyped in a Guangxi population (855 patients and 1036 controls). In the second stage, the SNPs, which showed significant association, were further genotyped in a Guangdong population (997 patients and 972 controls). Functional analyses were conducted to verify the biological relevance of the associated polymorphism. In the 1st stage, four SNPs (rs2736098, rs2735845, rs402710, and rs401681) were significantly associated with the risk of developing NPC. After the 2nd stage validation, rs2735845 and rs401681 were independently associated with the risk of developing NPC in the additive model (rs2735845, OR = 1.19, 95% CI = 1.04–1.37, P = 0.011; rs401681, OR = 0.85, 95% CI = 0.74–0.99, P = 0.034). Furthermore, we observed higher CLPTM1L messenger RNA levels in fetal mesenchymal stem cells from the rs2735845 G allele carriers compared with that from non-carriers. In addition, using an immunohistochemistry assay, we observed higher TERT and CLPTM1L levels in NPC tissues compared with that in non-cancerous nasopharyngeal tissues. Our findings suggest that polymorphisms in the TERT-CLPTM1L locus may play a role in mediating the susceptibility to NPC in Chinese populations.
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134
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Hoskins JW, Ibrahim A, Emmanuel MA, Manmiller SM, Wu Y, O’Neill M, Jia J, Collins I, Zhang M, Thomas JV, Rost LM, Das S, Parikh H, Haake JM, Matters GL, Kurtz RC, Bamlet WR, Klein A, Stolzenberg-Solomon R, Wolpin BM, Yarden R, Wang Z, Smith J, Olson SH, Andresson T, Petersen GM, Amundadottir LT. Functional characterization of a chr13q22.1 pancreatic cancer risk locus reveals long-range interaction and allele-specific effects on DIS3 expression. Hum Mol Genet 2016; 25:4726-4738. [PMID: 28172817 PMCID: PMC5815622 DOI: 10.1093/hmg/ddw300] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 07/08/2016] [Accepted: 08/26/2016] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified multiple common susceptibility loci for pancreatic cancer. Here we report fine-mapping and functional analysis of one such locus residing in a 610 kb gene desert on chr13q22.1 (marked by rs9543325). The closest candidate genes, KLF5, KLF12, PIBF1, DIS3 and BORA, range in distance from 265-586 kb. Sequencing three sub-regions containing the top ranked SNPs by imputation P-value revealed a 30 bp insertion/deletion (indel) variant that was significantly associated with pancreatic cancer risk (rs386772267, P = 2.30 × 10-11, OR = 1.22, 95% CI 1.15-1.28) and highly correlated to rs9543325 (r2 = 0.97 in the 1000 Genomes EUR population). This indel was the most significant cis-eQTL variant in a set of 222 histologically normal pancreatic tissue samples (β = 0.26, P = 0.004), with the insertion (risk-increasing) allele associated with reduced DIS3 expression. DIS3 encodes a catalytic subunit of the nuclear RNA exosome complex that mediates RNA processing and decay, and is mutated in several cancers. Chromosome conformation capture revealed a long range (570 kb) physical interaction between a sub-region of the risk locus, containing rs386772267, and a region ∼6 kb upstream of DIS3 Finally, repressor regulatory activity and allele-specific protein binding by transcription factors of the TCF/LEF family were observed for the risk-increasing allele of rs386772267, indicating that expression regulation at this risk locus may be influenced by the Wnt signaling pathway. In conclusion, we have identified a putative functional indel variant at chr13q22.1 that associates with decreased DIS3 expression in carriers of pancreatic cancer risk-increasing alleles, and could therefore affect nuclear RNA processing and/or decay.
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Affiliation(s)
- Jason W. Hoskins
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Abdisamad Ibrahim
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mickey A. Emmanuel
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sarah M. Manmiller
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yinglun Wu
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maura O’Neill
- Protein Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Jinping Jia
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Irene Collins
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mingfeng Zhang
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Janelle V. Thomas
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lauren M. Rost
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sudipto Das
- Protein Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Hemang Parikh
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jefferson M. Haake
- Department of Human Science, NHS, Georgetown University Medical Center, NW, Washington DC, USA
| | - Gail L. Matters
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Robert C. Kurtz
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - William R. Bamlet
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Alison Klein
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, the Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Rachael Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brian M. Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Ronit Yarden
- Department of Human Science, NHS, Georgetown University Medical Center, NW, Washington DC, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Jill Smith
- Department of Medicine, Georgetown University Hospital, Washington, DC, and Department of Medicine, Penn State University College of Medicine, Hershey PA, USA
| | - Sara H. Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Thorkell Andresson
- Protein Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Gloria M. Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Laufey T. Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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135
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Zhou S, Treloar AE, Lupien M. Emergence of the Noncoding Cancer Genome: A Target of Genetic and Epigenetic Alterations. Cancer Discov 2016; 6:1215-1229. [PMID: 27807102 DOI: 10.1158/2159-8290.cd-16-0745] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 08/17/2016] [Indexed: 12/14/2022]
Abstract
The emergence of whole-genome annotation approaches is paving the way for the comprehensive annotation of the human genome across diverse cell and tissue types exposed to various environmental conditions. This has already unmasked the positions of thousands of functional cis-regulatory elements integral to transcriptional regulation, such as enhancers, promoters, and anchors of chromatin interactions that populate the noncoding genome. Recent studies have shown that cis-regulatory elements are commonly the targets of genetic and epigenetic alterations associated with aberrant gene expression in cancer. Here, we review these findings to showcase the contribution of the noncoding genome and its alteration in the development and progression of cancer. We also highlight the opportunities to translate the biological characterization of genetic and epigenetic alterations in the noncoding cancer genome into novel approaches to treat or monitor disease. SIGNIFICANCE The majority of genetic and epigenetic alterations accumulate in the noncoding genome throughout oncogenesis. Discriminating driver from passenger events is a challenge that holds great promise to improve our understanding of the etiology of different cancer types. Advancing our understanding of the noncoding cancer genome may thus identify new therapeutic opportunities and accelerate our capacity to find improved biomarkers to monitor various stages of cancer development. Cancer Discov; 6(11); 1215-29. ©2016 AACR.
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Affiliation(s)
- Stanley Zhou
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Aislinn E Treloar
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Mathieu Lupien
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
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136
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Zhang M, Wang Z, Obazee O, Jia J, Childs EJ, Hoskins J, Figlioli G, Mocci E, Collins I, Chung CC, Hautman C, Arslan AA, Beane-Freeman L, Bracci PM, Buring J, Duell EJ, Gallinger S, Giles GG, Goodman GE, Goodman PJ, Kamineni A, Kolonel LN, Kulke MH, Malats N, Olson SH, Sesso HD, Visvanathan K, White E, Zheng W, Abnet CC, Albanes D, Andreotti G, Brais L, Bueno-de-Mesquita HB, Basso D, Berndt SI, Boutron-Ruault MC, Bijlsma MF, Brenner H, Burdette L, Campa D, Caporaso NE, Capurso G, Cavestro GM, Cotterchio M, Costello E, Elena J, Boggi U, Gaziano JM, Gazouli M, Giovannucci EL, Goggins M, Gross M, Haiman CA, Hassan M, Helzlsouer KJ, Hu N, Hunter DJ, Iskierka-Jazdzewska E, Jenab M, Kaaks R, Key TJ, Khaw KT, Klein EA, Kogevinas M, Krogh V, Kupcinskas J, Kurtz RC, Landi MT, Landi S, Marchand LL, Mambrini A, Mannisto S, Milne RL, Neale RE, Oberg AL, Panico S, Patel AV, Peeters PHM, Peters U, Pezzilli R, Porta M, Purdue M, Quiros JR, Riboli E, Rothman N, Scarpa A, Scelo G, Shu XO, Silverman DT, Soucek P, Strobel O, Sund M, Małecka-Panas E, Taylor PR, Tavano F, Travis RC, Thornquist M, Tjønneland A, Tobias GS, Trichopoulos D, Vashist Y, Vodicka P, Wactawski-Wende J, Wentzensen N, Yu H, Yu K, Zeleniuch-Jacquotte A, Kooperberg C, Risch HA, Jacobs EJ, Li D, Fuchs C, Hoover R, Hartge P, Chanock SJ, Petersen GM, Stolzenberg-Solomon RS, Wolpin BM, Kraft P, Klein AP, Canzian F, Amundadottir LT. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21. Oncotarget 2016; 7:66328-66343. [PMID: 27579533 PMCID: PMC5340084 DOI: 10.18632/oncotarget.11041] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/1969] [Accepted: 12/31/1969] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88x10 -15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22x10 -9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70x10 -8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 ( NR5A2), chr8q24.21 ( MYC) and chr5p15.33 ( CLPTM1L- TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal ( n = 10) and tumor ( n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7x10 -8). This finding was validated in a second set of paired ( n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5x10 -4-2.0x10 -3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.
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Affiliation(s)
- Mingfeng Zhang
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Ofure Obazee
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jinping Jia
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Erica J. Childs
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jason Hoskins
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gisella Figlioli
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Evelina Mocci
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Irene Collins
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Charles C. Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Christopher Hautman
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Alan A. Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, New York, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA
- New York University Cancer Institute, New York, New York, USA
| | - Laura Beane-Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Julie Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric J. Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology (ICO), Barcelona, Spain
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Gary E. Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Phyllis J. Goodman
- Southwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Aruna Kamineni
- Group Health Research Institute, Seattle, Washington, USA
| | - Laurence N. Kolonel
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Matthew H. Kulke
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, CNIO-Spanish National Cancer Research Centre, Madrid, Spain
| | - Sara H. Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Howard D. Sesso
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Christian C. Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Lauren Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - H. Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Daniela Basso
- Department of Laboratory Medicine, University Hospital of Padova, Padua, Italy
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Marie-Christine Boutron-Ruault
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health Team, F-94805, Villejuif, France
- University Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
| | - Maarten F. Bijlsma
- Laboratory for Experimental Oncology and Radiobiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Laurie Burdette
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Daniele Campa
- Department of Biology, University of Pisa, Pisa, Italy
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gabriele Capurso
- Digestive and Liver Disease Unit, ‘Sapienza’ University of Rome, Rome, Italy
| | - Giulia Martina Cavestro
- Gastroenterology and Gastrointestinal Endoscopy Unit, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Michelle Cotterchio
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Eithne Costello
- National Institute for Health Research Liverpool Pancreas Biomedical Research Unit, University of Liverpool, Liverpool, United Kingdom
| | - Joanne Elena
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Ugo Boggi
- Department of Surgery, Unit of Experimental Surgical Pathology, University Hospital of Pisa, Pisa, Italy
| | - J. Michael Gaziano
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Massachusetts Veteran's Epidemiology, Research, and Information Center, Geriatric Research Education and Clinical Center, Veterans Affairs Boston Healthcare System, Boston, Massachusetts, USA
| | - Maria Gazouli
- Department of Basic Medical Sciences, Laboratory of Biology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Edward L. Giovannucci
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, USA
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Michael Goggins
- Department of Pathology, Sidney Kimmel Cancer Center and Johns Hopkins University, Baltimore, Maryland, USA
- Department of Medicine, Sidney Kimmel Cancer Center and Johns Hopkins University, Baltimore, Maryland, USA
- Department of Oncology, Sidney Kimmel Cancer Center and Johns Hopkins University, Baltimore, Maryland, USA
| | - Myron Gross
- Laboratory of Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Christopher A. Haiman
- Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Manal Hassan
- Department of Gastrointestinal Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA
| | - Kathy J. Helzlsouer
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - David J. Hunter
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Harvard School of Public Health, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | | | - Mazda Jenab
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Timothy J. Key
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Eric A. Klein
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Manolis Kogevinas
- Centre de Recerca en Epidemiologia Ambiental (CREAL), CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Hospital del Mar Institute of Medical Research (IMIM), Barcelona, Spain
- National School of Public Health, Athens, Greece
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Juozas Kupcinskas
- Department of Gastroenterology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Robert C. Kurtz
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Maria T. Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Stefano Landi
- Department of Biology, University of Pisa, Pisa, Italy
| | - Le Loic Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Andrea Mambrini
- Oncology Department, ASL1 Massa Carrara, Massa Carrara, Italy
| | - Satu Mannisto
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Helsinki, Finland
| | - Roger L. Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Rachel E. Neale
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ann L. Oberg
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Salvatore Panico
- Dipartimento di Medicina Clinica E Chirurgia, Federico II Univeristy, Naples, Italy
| | - Alpa V. Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Petra H. M. Peeters
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Raffaele Pezzilli
- Pancreas Unit, Department of Digestive Diseases and Internal Medicine, Sant'Orsola-Malpighi Hospital, Bologna, Italy
| | - Miquel Porta
- Hospital del Mar Institute of Medical Research (IMIM), Barcelona, Spain
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mark Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - J. Ramón Quiros
- Public Health and Participation Directorate, Asturias, Spain
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Aldo Scarpa
- ARC-NET: Centre for Applied Research on Cancer, University and Hospital Trust of Verona, Verona, Italy
| | - Ghislaine Scelo
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Debra T. Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Pavel Soucek
- Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University in Prague, Pilsen, Czech Republic
| | - Oliver Strobel
- Department of General Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Malin Sund
- Department of Surgical and Peroperative Sciences, Umeå University, Umeå, Sweden
| | - Ewa Małecka-Panas
- Department of Digestive Tract Diseases, Medical University of Łodz, Łodz, Poland
| | - Philip R. Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Francesca Tavano
- Division of Gastroenterology and Research Laboratory, IRCCS Scientific Institute and Regional General Hospital “Casa Sollievo della Sofferenza”, San Giovanni Rotondo, Italy
| | - Ruth C. Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Mark Thornquist
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Anne Tjønneland
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
| | - Geoffrey S. Tobias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Dimitrios Trichopoulos
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Yogesh Vashist
- Department of General, Visceral and Thoracic Surgery, University Hamburg-Eppendorf, Hamburg, Germany
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Jean Wactawski-Wende
- Department of Social and Preventive Medicine, University at Buffalo, Buffalo, New York, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Herbert Yu
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA
- New York University Cancer Institute, New York, New York, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Harvey A. Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Eric J. Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA
| | - Charles Fuchs
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, USA
| | - Robert Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gloria M. Petersen
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Rachael S. Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Brian M. Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Alison P. Klein
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, the Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Laufey T. Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
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Babu D, Fullwood MJ. 3D genome organization in health and disease: emerging opportunities in cancer translational medicine. Nucleus 2016; 6:382-93. [PMID: 26553406 PMCID: PMC4915485 DOI: 10.1080/19491034.2015.1106676] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Organizing the DNA to fit inside a spatially constrained nucleus is a challenging problem that has attracted the attention of scientists across all disciplines of science. Increasing evidence has demonstrated the importance of genome geometry in several cellular contexts that affect human health. Among several approaches, the application of sequencing technologies has substantially increased our understanding of this intricate organization, also known as chromatin interactions. These structures are involved in transcriptional control of gene expression by connecting distal regulatory elements with their target genes and regulating co-transcriptional splicing. In addition, chromatin interactions play pivotal roles in the organization of the genome, the formation of structural variants, recombination, DNA replication and cell division. Mutations in factors that regulate chromatin interactions lead to the development of pathological conditions, for example, cancer. In this review, we discuss key findings that have shed light on the importance of these structures in the context of cancers, and highlight the applicability of chromatin interactions as potential biomarkers in molecular medicine as well as therapeutic implications of chromatin interactions.
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Affiliation(s)
- Deepak Babu
- a Cancer Science Institute of Singapore: Singapore; National University of Singapore ; Singapore
| | - Melissa J Fullwood
- a Cancer Science Institute of Singapore: Singapore; National University of Singapore ; Singapore.,b School of Biological Sciences; Nanyang Technological University ; Singapore.,c Institute of Molecular and Cell Biology; Agency for Science; Technology and Research (A*STAR) ; Singapore.,d Yale-NUS Liberal Arts College ; Singapore
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138
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Shi J, Zhang Y, Zheng W, Michailidou K, Ghoussaini M, Bolla MK, Wang Q, Dennis J, Lush M, Milne RL, Shu XO, Beesley J, Kar S, Andrulis IL, Anton-Culver H, Arndt V, Beckmann MW, Zhao Z, Guo X, Benitez J, Beeghly-Fadiel A, Blot W, Bogdanova NV, Bojesen SE, Brauch H, Brenner H, Brinton L, Broeks A, Brüning T, Burwinkel B, Cai H, Canisius S, Chang-Claude J, Choi JY, Couch FJ, Cox A, Cross SS, Czene K, Darabi H, Devilee P, Droit A, Dork T, Fasching PA, Fletcher O, Flyger H, Fostira F, Gaborieau V, García-Closas M, Giles GG, Guenel P, Haiman CA, Hamann U, Hartman M, Miao H, Hollestelle A, Hopper JL, Hsiung CN, Ito H, Jakubowska A, Johnson N, Torres D, Kabisch M, Kang D, Khan S, Knight JA, Kosma VM, Lambrechts D, Li J, Lindblom A, Lophatananon A, Lubinski J, Mannermaa A, Manoukian S, Le Marchand L, Margolin S, Marme F, Matsuo K, McLean C, Meindl A, Muir K, Neuhausen SL, Nevanlinna H, Nord S, Børresen-Dale AL, Olson JE, Orr N, van den Ouweland AM, Peterlongo P, Putti TC, Rudolph A, Sangrajrang S, Sawyer EJ, Schmidt MK, Schmutzler RK, Shen CY, Hou MF, Shrubsole MJ, Southey MC, Swerdlow A, Teo SH, Thienpont B, Toland AE, Tollenaar RA, Tomlinson I, Truong T, Tseng CC, Wen W, Winqvist R, Wu AH, Yip CH, Zamora PM, Zheng Y, Floris G, Cheng CY, Hooning MJ, Martens JW, Seynaeve C, Kristensen VN, Hall P, Pharoah PD, Simard J, Chenevix-Trench G, Dunning AM, Antoniou AC, Easton DF, Cai Q, Long J. Fine-scale mapping of 8q24 locus identifies multiple independent risk variants for breast cancer. Int J Cancer 2016; 139:1303-1317. [PMID: 27087578 PMCID: PMC5110427 DOI: 10.1002/ijc.30150] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Revised: 01/11/2016] [Accepted: 01/19/2016] [Indexed: 02/03/2023]
Abstract
Previous genome-wide association studies among women of European ancestry identified two independent breast cancer susceptibility loci represented by single nucleotide polymorphisms (SNPs) rs13281615 and rs11780156 at 8q24. A fine-mapping study across 2.06 Mb (chr8:127,561,724-129,624,067, hg19) in 55,540 breast cancer cases and 51,168 controls within the Breast Cancer Association Consortium was conducted. Three additional independent association signals in women of European ancestry, represented by rs35961416 (OR = 0.95, 95% CI = 0.93-0.97, conditional p = 5.8 × 10(-6) ), rs7815245 (OR = 0.94, 95% CI = 0.91-0.96, conditional p = 1.1 × 10(-6) ) and rs2033101 (OR = 1.05, 95% CI = 1.02-1.07, conditional p = 1.1 × 10(-4) ) were found. Integrative analysis using functional genomic data from the Roadmap Epigenomics, the Encyclopedia of DNA Elements project, the Cancer Genome Atlas and other public resources implied that SNPs rs7815245 in Signal 3, and rs1121948 in Signal 5 (in linkage disequilibrium with rs11780156, r(2) = 0.77), were putatively functional variants for two of the five independent association signals. The results highlighted multiple 8q24 variants associated with breast cancer susceptibility in women of European ancestry.
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Affiliation(s)
- Jiajun Shi
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Yanfeng Zhang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Maya Ghoussaini
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Manjeet K. Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Roger L. Milne
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria 3053, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global health, The University of Melbourne, Melbourne, Victoria 3053, Australia
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Jonathan Beesley
- Department of Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Siddhartha Kar
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Irene L. Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California Irvine, Irvine, CA 92697, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg 69120, Germany
| | - Matthias W. Beckmann
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen 91054, Germany
| | - Zhiguo Zhao
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Javier Benitez
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid 28029, Spain
- Centro de Investigación en Red de Enfermedades Raras, Valencia, Spain
| | - Alicia Beeghly-Fadiel
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
- International Epidemiology Institute, Rockville, MD 20850, USA
| | - Natalia V. Bogdanova
- Department of Radiation Oncology, Hannover Medical School, Hannover 30625, Germany
| | - Stig E. Bojesen
- Copenhagen General Population Study, Herlev Hospital, 2730 Herlev, Denmark
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart 70376, Germany
- University of Tübingen, Tübingen 72074, Germany
- German Cancer Consortium, German Cancer Research Center(DKFZ), Heidelberg 69120, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg 69120, Germany
- German Cancer Consortium, German Cancer Research Center(DKFZ), Heidelberg 69120, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
| | - Annegien Broeks
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam 1066 CX, The Netherlands
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Bochum 44789, Germany
| | - Barbara Burwinkel
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg 69120, Germany
- Molecular Epidemiology Group, German Cancer Research Center, Heidelberg 69120, Germany
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Sander Canisius
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, the Netherlands
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg 69120, Germany
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 110-799, Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul 110-799, Korea
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Angela Cox
- Sheffield Cancer Research Centre, Department of Oncology, University of Sheffield, Sheffield S10 2RX, UK
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield S10 2HQ, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-17177, Sweden
| | - Hatef Darabi
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-17177, Sweden
| | - Peter Devilee
- Separtment of Pathology, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden 2333 ZC, The Netherlands
| | - Arnaud Droit
- Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City G1V 4G2, Canada
| | - Thilo Dork
- Gynaecology Research Unit, Hannover Medical School, Hannover 30625, Germany
| | - Peter A. Fasching
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen 91054, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Olivia Fletcher
- Division of Cancer Studies, Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London SW3 6JB, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, IRRP, National Centre for Scientific Research "Demokritos", 153 10 Athens, Greece
| | | | - Montserrat García-Closas
- Division of Cancer Studies, Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London SW3 6JB, UK
- Division of Genetics and Epidemiology, Institute of Cancer Research, London SW7 3RP, UK
| | - Graham G. Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria 3053, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global health, The University of Melbourne, Melbourne, Victoria 3053, Australia
| | - Mervi Grip
- Department of Surgery, Oulu University Hospital and University of Oulu, Oulu FI-90220, Finland
| | - Pascal Guenel
- Environmental Epidemiology of Cancer, Center for Research in Epidemiology and Population Health, INSERM, Villejuif 94807, France
- University Paris-Sud, Villejuif 94807, France
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore
- Department of Surgery, National University Health System, Singapore 117597
| | - Hui Miao
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore
| | - Antoinette Hollestelle
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 CN Rotterdam, The Netherlands
| | - John L. Hopper
- Division of Gynaecology and Obstetrics, Technische Universität München, Munich 81675, Germany
| | - Chia-Ni Hsiung
- Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - kConFab Investigators
- Peter MacCallum Cancer Centre, The University of Melbourne, East Melbourne, VIC 3002, Australi
| | - Hidemi Ito
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Aichi 464-8681, Japan
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 70-115, Poland
| | - Nichola Johnson
- Division of Cancer Studies, Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London SW3 6JB, UK
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota 12362, Colombi
| | - Maria Kabisch
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Daehee Kang
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 110-799, Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul 110-799, Korea
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, University of Helsinki, Helsinki, FI-00029 HUS, Finland
| | - Sofia Khan
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, University of Helsinki, Helsinki, FI-00029 HUS, Finland
| | - Julia A. Knight
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, M5G 1X5, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Veli-Matti Kosma
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine and Cancer Center of Eastern Finland, University of Eastern Finland, Kuopio, Finlan
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio 70210, Finland
| | - Diether Lambrechts
- Vesalius Research Center, Leuven 3000, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven 3000, Belgium
| | - Jingmei Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-17177, Sweden
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm SE-17177, Sweden
| | - Artitaya Lophatananon
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry CV4 7AL, UK
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 70-115, Poland
| | - Arto Mannermaa
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine and Cancer Center of Eastern Finland, University of Eastern Finland, Kuopio, Finlan
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio 70210, Finland
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan 20133, Italy
| | | | - Sara Margolin
- Department of Oncology - Pathology, Karolinska Institutet, Stockholm SE-17177, Sweden
| | - Frederik Marme
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg 69120, Germany
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg 69120, Germany
| | - Keitaro Matsuo
- Department of Preventive Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan
| | - Catriona McLean
- Anatomical Pathology, The Alfred Hospital, Melbourne, , Victoria 3004, Australia
| | - Alfons Meindl
- Division of Gynaecology and Obstetrics, Technische Universität München, Munich 81675, Germany
| | - Kenneth Muir
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry CV4 7AL, UK
- Institute of Population Health, University of Manchester, Manchester M13 9PL, UK
| | | | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, University of Helsinki, Helsinki, FI-00029 HUS, Finland
| | - Silje Nord
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Ullernchausseen 70, N-0310 Oslo, Norway
- K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Kirkeveien 166, 0450 Oslo, Norway
| | - Anne-Lise Børresen-Dale
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Ullernchausseen 70, N-0310 Oslo, Norway
- K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Kirkeveien 166, 0450 Oslo, Norway
| | - Janet E. Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Nick Orr
- Division of Breast Cancer Research, Institute of Cancer Research, London, UK; Cancer Research, Institute of Cancer Research, London SW3 6JB, UK
| | - Ans M.W. van den Ouweland
- Department of Clinical Genetics, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Paolo Peterlongo
- IFOM, the FIRC Institute of Molecular Oncology, Milan 20139, Italy
| | | | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg 69120, Germany
| | | | - Elinor J. Sawyer
- Research Oncology, Guy’s Hospital, King's College London, London SE1 9RT, UK
| | - Marjanka K. Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam 1066 CX, The Netherlands
| | - Rita K. Schmutzler
- Division of Molecular Gyneco-Oncology, Department of Gynaecology and Obstetrics, University Hospital of Cologne, Cologne 50931, Germany
- Center for Integrated Oncology, University Hospital of Cologne, Cologne 50931, Germany
- Center for Molecular Medicine, University Hospital of Cologne, Cologne 50931, Germany
- Center of Familial Breast and Ovarian Cancer, University Hospital of Cologne, Cologne 50931, Germany
| | - Chen-Yang Shen
- School of Public Health, China Medical University, Taichung 404, Taiwan
- Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - Ming-Feng Hou
- Cancer Center and Department of Surgery, Chung-Ho Memorial Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Matha J Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Melissa C. Southey
- Department of Pathology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology and Division of Breast Cancer Research, Institute of Cancer Research, London SW7 3RP, UK
| | - Soo Hwang Teo
- Cancer Research Initiatives Foundation, 47500 Subang Jaya, Selangor, Malaysia
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, 59100 KualaLumpur, Malaysia
| | - Bernard Thienpont
- Vesalius Research Center, Leuven 3000, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven 3000, Belgium
| | - Amanda E. Toland
- Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Robert A.E.M. Tollenaar
- Department of Surgical Oncology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford Biomedical Research Centre, University of Oxford, Oxford OX3 7BN, UK
| | - Therese Truong
- Environmental Epidemiology of Cancer, Center for Research in Epidemiology and Population Health, INSERM, Villejuif 94807, France
- University Paris-Sud, Villejuif 94807, France
| | - Chiu-chen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Department of Clinical Chemistry, University of Oulu, Oulu FI-90220, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre NordLab, Oulu FI-90220, Finland
| | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Cheng Har Yip
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, 59100 KualaLumpur, Malaysia
| | - Pilar M. Zamora
- Servicio de Oncología Médica, Hospital Universitario La Paz, Madrid 28046, Spain
| | - Ying Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, PR China
| | | | - Ching-Yu Cheng
- Singapore Eye Research Institute, National University of Singapore, Singapore, Singapore
| | - Maartje J. Hooning
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 CN Rotterdam, The Netherlands
| | - John W.M. Martens
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 CN Rotterdam, The Netherlands
| | - Caroline Seynaeve
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 CN Rotterdam, The Netherlands
| | - Vessela N. Kristensen
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Ullernchausseen 70, N-0310 Oslo, Norway
- K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Kirkeveien 166, 0450 Oslo, Norway
- Department of Clinical Molecular Biology (EpiGen), Akershus University Hospital, University of Oslo (UiO), Oslo, Norway
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-17177, Sweden
| | - Paul D.P. Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Jacques Simard
- Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City G1V 4G2, Canada
| | - Georgia Chenevix-Trench
- Department of Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Peter MacCallum Cancer Centre, The University of Melbourne, East Melbourne, VIC 3002, Australi
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Antonis C. Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
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139
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Abstract
Mutations in enhancer-associated chromatin-modifying components and genomic alterations in non-coding regions of the genome occur frequently in cancer, and other diseases pointing to the importance of enhancer fidelity to ensure proper tissue homeostasis. In this review, I will use specific examples to discuss how mutations in chromatin-modifying factors might affect enhancer activity of disease-relevant genes. I will then consider direct evidence from single nucleotide polymorphisms, small insertions, or deletions but also larger genomic rearrangements such as duplications, deletions, translocations, and inversions of specific enhancers to demonstrate how they have the ability to impact enhancer activity of disease genes including oncogenes and tumor suppressor genes. Considering that the scientific community only fairly recently has begun to focus its attention on "enhancer malfunction" in disease, I propose that multiple new enhancer-regulated and disease-relevant processes will be uncovered in the near future that will constitute the mechanistic basis for novel therapeutic avenues.
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Affiliation(s)
- Hans-Martin Herz
- Department of Cell & Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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140
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Modulation of long noncoding RNAs by risk SNPs underlying genetic predispositions to prostate cancer. Nat Genet 2016; 48:1142-50. [PMID: 27526323 DOI: 10.1038/ng.3637] [Citation(s) in RCA: 176] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 07/06/2016] [Indexed: 12/16/2022]
Abstract
Long noncoding RNAs (lncRNAs) represent an attractive class of candidates to mediate cancer risk. Through integrative analysis of the lncRNA transcriptome with genomic data and SNP data from prostate cancer genome-wide association studies (GWAS), we identified 45 candidate lncRNAs associated with risk to prostate cancer. We further evaluated the mechanism underlying the top hit, PCAT1, and found that a risk-associated variant at rs7463708 increases binding of ONECUT2, a novel androgen receptor (AR)-interacting transcription factor, at a distal enhancer that loops to the PCAT1 promoter, resulting in upregulation of PCAT1 upon prolonged androgen treatment. In addition, PCAT1 interacts with AR and LSD1 and is required for their recruitment to the enhancers of GNMT and DHCR24, two androgen late-response genes implicated in prostate cancer development and progression. PCAT1 promotes prostate cancer cell proliferation and tumor growth in vitro and in vivo. These findings suggest that modulating lncRNA expression is an important mechanism for risk-associated SNPs in promoting prostate transformation.
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141
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Wood CD, Veenstra H, Khasnis S, Gunnell A, Webb HM, Shannon-Lowe C, Andrews S, Osborne CS, West MJ. MYC activation and BCL2L11 silencing by a tumour virus through the large-scale reconfiguration of enhancer-promoter hubs. eLife 2016; 5:e18270. [PMID: 27490482 PMCID: PMC5005034 DOI: 10.7554/elife.18270] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2016] [Accepted: 08/03/2016] [Indexed: 12/11/2022] Open
Abstract
Lymphomagenesis in the presence of deregulated MYC requires suppression of MYC-driven apoptosis, often through downregulation of the pro-apoptotic BCL2L11 gene (Bim). Transcription factors (EBNAs) encoded by the lymphoma-associated Epstein-Barr virus (EBV) activate MYC and silence BCL2L11. We show that the EBNA2 transactivator activates multiple MYC enhancers and reconfigures the MYC locus to increase upstream and decrease downstream enhancer-promoter interactions. EBNA2 recruits the BRG1 ATPase of the SWI/SNF remodeller to MYC enhancers and BRG1 is required for enhancer-promoter interactions in EBV-infected cells. At BCL2L11, we identify a haematopoietic enhancer hub that is inactivated by the EBV repressors EBNA3A and EBNA3C through recruitment of the H3K27 methyltransferase EZH2. Reversal of enhancer inactivation using an EZH2 inhibitor upregulates BCL2L11 and induces apoptosis. EBV therefore drives lymphomagenesis by hijacking long-range enhancer hubs and specific cellular co-factors. EBV-driven MYC enhancer activation may contribute to the genesis and localisation of MYC-Immunoglobulin translocation breakpoints in Burkitt's lymphoma.
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Affiliation(s)
- C David Wood
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | | | - Sarika Khasnis
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Andrea Gunnell
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Helen M Webb
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Claire Shannon-Lowe
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Simon Andrews
- Bioinformatics Group, Babraham Institute, Cambridge, United Kingdom
| | - Cameron S Osborne
- Department of Genetics and Molecular Medicine, King's College London School of Medicine, Guy's Hospital, London, United Kingdom
| | - Michelle J West
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
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142
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Yang X, Yu D, Ren Y, Wei J, Pan W, Zhou C, Zhou L, Liu Y, Yang M. Integrative Functional Genomics Implicates EPB41 Dysregulation in Hepatocellular Carcinoma Risk. Am J Hum Genet 2016; 99:275-86. [PMID: 27453575 DOI: 10.1016/j.ajhg.2016.05.029] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 05/30/2016] [Indexed: 02/05/2023] Open
Abstract
Genome-wide association studies (GWASs) have provided many insights into cancer genetics. However, the molecular mechanisms of many susceptibility SNPs defined by GWASs in cancer heritability and in promoting cancer risk remain elusive. New research strategies, including functional evaluations, are warranted to systematically explore truly causal genetic variants. In this study, we developed an integrative functional genomics methodology to identify cancer susceptibility SNPs in transcription factor-binding sites across the whole genome. Employing integration of functional genomic data from c-Myc cistromics, 1000 Genomes, and the TRANSFAC matrix, we successfully annotated 12 SNPs present in the c-Myc cistrome with properties consistent with modulating c-Myc binding affinity in hepatocellular carcinoma (HCC). After genotyping these 12 SNPs in 1,806 HBV-related HCC case subjects and 1,708 control subjects, we identified a HCC susceptibility SNP, rs157224G>T, in Chinese populations (T allele: odds ratio = 1.64, 95% confidence interval = 1.32-2.02; p = 5.2 × 10(-6)). This polymorphism leads to HCC predisposition through modifying c-Myc-mediated transcriptional regulation of EPB41, with the risk rs157224T allele showing significantly decreased gene expression. Based on cell proliferation, wound healing, and transwell assays as well as the mouse xenograft model, we identify EPB41 as a HCC susceptibility gene in vitro and in vivo. Consistent with this notion, we note that EPB41 expression is significantly decreased in HCC tissue specimens, especially in portal vein metastasis or intrahepatic metastasis, compared to normal tissues. Our results highlight the involvement of regulatory genetic variants in HCC and provide pathogenic insights of this malignancy via a genome-wide approach.
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143
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Abstract
Enhancer elements function as the logic gates of the genetic regulatory circuitry. One of their most important functions is the integration of extracellular signals with intracellular cell fate information to generate cell type-specific transcriptional responses. Mutations occurring in cancer often misregulate enhancers that normally control the signal-dependent expression of growth-related genes. This misregulation can result from trans-acting mechanisms, such as activation of the transcription factors or epigenetic regulators that control enhancer activity, or can be caused in cis by direct mutations that alter the activity of the enhancer or its target gene specificity. These processes can generate tumour type-specific super-enhancers and establish a 'locked' gene regulatory state that drives the uncontrolled proliferation of cancer cells. Here, we review the role of enhancers in cancer, and their potential as therapeutic targets.
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Affiliation(s)
- Inderpreet Sur
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, and Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Jussi Taipale
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, and Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm SE-171 77, Sweden
- Genome-Scale Biology Program, University of Helsinki, Biomedicum, PO Box 63, Helsinki 00014, Finland
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144
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Jin DH, Lee J, Kim KM, Kim S, Kim DH, Park J. Overexpression of MAPK15 in gastric cancer is associated with copy number gain and contributes to the stability of c-Jun. Oncotarget 2016; 6:20190-203. [PMID: 26035356 PMCID: PMC4652997 DOI: 10.18632/oncotarget.4171] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Accepted: 05/02/2015] [Indexed: 12/23/2022] Open
Abstract
This study was aimed at understanding the functional and clinicopathological significance of MAPK15 alteration in gastric cancer. Genome-wide copy number alterations (CNAs) were first investigated in 40 gastric cancers using Agilent aCGH-244K or aCGH-400K, and copy number gains of MAPK15 found in aCGH were validated in another set of 48 gastric cancer tissues. The expression of MAPK15 was analyzed using immunohistochemistry in concurrent lesions of normal, adenoma, and carcinoma from additional 45 gastric cancer patients. The effects of MAPK15 on cell cycle, c-Jun phosphorylation, and mRNA stability were analyzed in gastric cancer cells. Copy number gains of MAPK15 were found in 15 (17%) of 88 tumor tissues. The mRNA levels of MAPK15 were relatively high in the gastric cancer tissues and gastric cancer cells with higher copy number gains than those without. Knockdown of MAPK15 using siRNA in gastric cancer cells significantly suppressed cell proliferation and resulted in cell cycle arrest at G1-S phase. Reduced c-Jun phosphorylation and c-Jun half-life were observed in MAPK15-knockdowned cells. In addition, transient transfection of MAPK15 into AGS gastric cancer cells with low copy number resulted in an increase of c-Jun phosphorylation and stability. The overexpression of MAPK15 occurred at a high frequency in carcinomas (37%) compared to concurrent normal tissues (2%) and adenomas (21%). In conclusion, the present study suggests that MAPK15 overexpression may contribute to the malignant transformation of gastric mucosa by prolonging the stability of c-Jun. And, patients with copy number gain of MAPK15 in normal or premalignant tissues of stomach may have a chance to progress to invasive cancer.
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Affiliation(s)
- Dong-Hao Jin
- Department of Molecular Cell Biology, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Korea
| | - Jeeyun Lee
- Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyoung Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Duk-Hwan Kim
- Department of Molecular Cell Biology, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Korea
| | - Joobae Park
- Department of Molecular Cell Biology, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Korea
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145
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Mitchell JS, Li N, Weinhold N, Försti A, Ali M, van Duin M, Thorleifsson G, Johnson DC, Chen B, Halvarsson BM, Gudbjartsson DF, Kuiper R, Stephens OW, Bertsch U, Broderick P, Campo C, Einsele H, Gregory WA, Gullberg U, Henrion M, Hillengass J, Hoffmann P, Jackson GH, Johnsson E, Jöud M, Kristinsson SY, Lenhoff S, Lenive O, Mellqvist UH, Migliorini G, Nahi H, Nelander S, Nickel J, Nöthen MM, Rafnar T, Ross FM, da Silva Filho MI, Swaminathan B, Thomsen H, Turesson I, Vangsted A, Vogel U, Waage A, Walker BA, Wihlborg AK, Broyl A, Davies FE, Thorsteinsdottir U, Langer C, Hansson M, Kaiser M, Sonneveld P, Stefansson K, Morgan GJ, Goldschmidt H, Hemminki K, Nilsson B, Houlston RS. Genome-wide association study identifies multiple susceptibility loci for multiple myeloma. Nat Commun 2016; 7:12050. [PMID: 27363682 PMCID: PMC4932178 DOI: 10.1038/ncomms12050] [Citation(s) in RCA: 130] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 05/24/2016] [Indexed: 02/08/2023] Open
Abstract
Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10(-8)), 6q21 (rs9372120, P=9.09 × 10(-15)), 7q36.1 (rs7781265, P=9.71 × 10(-9)), 8q24.21 (rs1948915, P=4.20 × 10(-11)), 9p21.3 (rs2811710, P=1.72 × 10(-13)), 10p12.1 (rs2790457, P=1.77 × 10(-8)), 16q23.1 (rs7193541, P=5.00 × 10(-12)) and 20q13.13 (rs6066835, P=1.36 × 10(-13)), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development.
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Affiliation(s)
- Jonathan S. Mitchell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Ni Li
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
| | - Asta Försti
- German Cancer Research Center, 69120 Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, SE-205 02 Malmo, Sweden
| | - Mina Ali
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Mark van Duin
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA Rotterdam, The Netherlands
| | | | - David C. Johnson
- Division of Molecular Pathology, The Institute of Cancer Research, Surrey SM2 5NG, UK
| | - Bowang Chen
- German Cancer Research Center, 69120 Heidelberg, Germany
| | - Britt-Marie Halvarsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Daniel F. Gudbjartsson
- deCODE Genetics, Sturlugata 8, IS-101 Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, IS-101 Reykjavik, Iceland
| | - Rowan Kuiper
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA Rotterdam, The Netherlands
| | - Owen W. Stephens
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Uta Bertsch
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
- National Centre of Tumor Diseases, 69120 Heidelberg, Germany
| | - Peter Broderick
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Chiara Campo
- German Cancer Research Center, 69120 Heidelberg, Germany
| | | | - Walter A. Gregory
- Clinical Trials Research Unit, University of Leeds, Leeds LS2 9PH, UK
| | - Urban Gullberg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Marc Henrion
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Jens Hillengass
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, D-53127 Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, 4003 Basel, Switzerland
| | | | - Ellinor Johnsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Magnus Jöud
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
- Clinical Immunology and Transfusion Medicine, Laboratory Medicine, Office of Medical Services, SE-221 85 Lund, Sweden
| | - Sigurður Y. Kristinsson
- Department of Hematology, Landspitali, National University Hospital of Iceland, IS-101 Reykjavik, Iceland
| | - Stig Lenhoff
- Hematology Clinic, Skåne University Hospital, SE-221 85 Lund, Sweden
| | - Oleg Lenive
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Ulf-Henrik Mellqvist
- Section of Hematology, Sahlgrenska University Hospital, Gothenburg 413 45, Sweden
| | - Gabriele Migliorini
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
| | - Hareth Nahi
- Center for Hematology and Regenerative Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden
| | - Sven Nelander
- Rudbeck Laboratory, Department of Immunology, Pathology and Genetics, Uppsala University, SE-751 05 Uppsala, Sweden
| | - Jolanta Nickel
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
| | - Markus M. Nöthen
- Institute of Human Genetics, University of Bonn, D-53127 Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, D-53127 Bonn, Germany
| | - Thorunn Rafnar
- deCODE Genetics, Sturlugata 8, IS-101 Reykjavik, Iceland
| | - Fiona M. Ross
- Wessex Regional Genetics Laboratory, University of Southampton, Salisbury SP2 8BJ, UK
| | | | - Bhairavi Swaminathan
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Hauke Thomsen
- German Cancer Research Center, 69120 Heidelberg, Germany
| | - Ingemar Turesson
- Hematology Clinic, Skåne University Hospital, SE-221 85 Lund, Sweden
| | - Annette Vangsted
- Department of Haematology, University Hospital of Copenhagen at Rigshospitalet, Blegdamsvej 9, DK-2100 Copenhagen, Denmark
| | - Ulla Vogel
- National Research Centre for the Working Environment, DK-2100 Copenhagen, Denmark
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Box 8905, N-7491 Trondheim, Norway
| | - Brian A. Walker
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Anna-Karin Wihlborg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
| | - Annemiek Broyl
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA Rotterdam, The Netherlands
| | - Faith E. Davies
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Sturlugata 8, IS-101 Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101 Reykjavik, Iceland
| | - Christian Langer
- Department of Internal Medicine III, University of Ulm, D-89081 Ulm, Germany
| | - Markus Hansson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
- Hematology Clinic, Skåne University Hospital, SE-221 85 Lund, Sweden
| | - Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, Surrey SM2 5NG, UK
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA Rotterdam, The Netherlands
| | | | - Gareth J. Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69117 Heidelberg, Germany
- National Centre of Tumor Diseases, 69120 Heidelberg, Germany
| | - Kari Hemminki
- German Cancer Research Center, 69120 Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, SE-205 02 Malmo, Sweden
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84 Lund, Sweden
- Clinical Immunology and Transfusion Medicine, Laboratory Medicine, Office of Medical Services, SE-221 85 Lund, Sweden
- Broad Institute, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK
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146
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Spitz F. Gene regulation at a distance: From remote enhancers to 3D regulatory ensembles. Semin Cell Dev Biol 2016; 57:57-67. [PMID: 27364700 DOI: 10.1016/j.semcdb.2016.06.017] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Accepted: 06/24/2016] [Indexed: 10/21/2022]
Abstract
Large-scale identification of elements associated with gene expression revealed that many of them are located extremely far from gene transcriptional start sites. We review here the growing evidence that show that distal cis-acting elements provide key instructions to genes, as genetic variation affecting them is growingly identified as an importance source of phenotypic diversity and disease. We discuss the different mechanisms that allow these elements to exert their regulatory functions, in a robust and specific manner, despite the large genomic distances separating them from their target genes. We particularly focus on the role of the structural organization of the genome in guiding such regulatory interactions.
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Affiliation(s)
- François Spitz
- Developmental Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany; Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany; Department of Developmental Biology and Stem Cells, Institut Pasteur, Paris, France.
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147
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IDH-mutant glioma specific association of rs55705857 located at 8q24.21 involves MYC deregulation. Sci Rep 2016; 6:27569. [PMID: 27282637 PMCID: PMC4901315 DOI: 10.1038/srep27569] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Accepted: 05/16/2016] [Indexed: 12/20/2022] Open
Abstract
The single nucleotide polymorphism rs55705857, located in a non-coding but evolutionarily conserved region at 8q24.21, is strongly associated with IDH-mutant glioma development and was suggested to be a causal variant. However, the molecular mechanism underlying this association has remained unknown. With a case control study in 285 gliomas, 316 healthy controls, 380 systemic cancers, 31 other CNS-tumors, and 120 IDH-mutant cartilaginous tumors, we identified that the association was specific to IDH-mutant gliomas. Odds-ratios were 9.25 (5.17–16.52; 95% CI) for IDH-mutated gliomas and 12.85 (5.94–27.83; 95% CI) for IDH-mutated, 1p/19q co-deleted gliomas. Decreasing strength with increasing anaplasia implied a modulatory effect. No somatic mutations were noted at this locus in 114 blood-tumor pairs, nor was there a copy number difference between risk-allele and only-ancestral allele carriers. CCDC26 RNA-expression was rare and not different between the two groups. There were only minor subtype-specific differences in common glioma driver genes. RNA sequencing and LC-MS/MS comparisons pointed to significantly altered MYC-signaling. Baseline enhancer activity of the conserved region specifically on the MYC promoter and its further positive modulation by the SNP risk-allele was shown in vitro. Our findings implicate MYC deregulation as the underlying cause of the observed association.
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148
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Painter JN, Kaufmann S, O'Mara TA, Hillman KM, Sivakumaran H, Darabi H, Cheng THT, Pearson J, Kazakoff S, Waddell N, Hoivik EA, Goode EL, Scott RJ, Tomlinson I, Dunning AM, Easton DF, French JD, Salvesen HB, Pollock PM, Thompson DJ, Spurdle AB, Edwards SL. A Common Variant at the 14q32 Endometrial Cancer Risk Locus Activates AKT1 through YY1 Binding. Am J Hum Genet 2016; 98:1159-1169. [PMID: 27259051 PMCID: PMC4908177 DOI: 10.1016/j.ajhg.2016.04.012] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2016] [Accepted: 04/19/2016] [Indexed: 11/21/2022] Open
Abstract
A recent meta-analysis of multiple genome-wide association and follow-up endometrial cancer case-control datasets identified a novel genetic risk locus for this disease at chromosome 14q32.33. To prioritize the functional SNP(s) and target gene(s) at this locus, we employed an in silico fine-mapping approach using genotyped and imputed SNP data for 6,608 endometrial cancer cases and 37,925 controls of European ancestry. Association and functional analyses provide evidence that the best candidate causal SNP is rs2494737. Multiple experimental analyses show that SNP rs2494737 maps to a silencer element located within AKT1, a member of the PI3K/AKT/MTOR intracellular signaling pathway activated in endometrial tumors. The rs2494737 risk A allele creates a YY1 transcription factor-binding site and abrogates the silencer activity in luciferase assays, an effect mimicked by transfection of YY1 siRNA. Our findings suggest YY1 is a positive regulator of AKT1, mediating the stimulatory effects of rs2494737 increasing endometrial cancer risk. Identification of an endometrial cancer risk allele within a member of the PI3K/AKT signaling pathway, more commonly activated in tumors by somatic alterations, raises the possibility that well tolerated inhibitors targeting this pathway could be candidates for evaluation as chemopreventive agents in individuals at high risk of developing endometrial cancer.
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Affiliation(s)
- Jodie N Painter
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Susanne Kaufmann
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Tracy A O'Mara
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Kristine M Hillman
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Haran Sivakumaran
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Hatef Darabi
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Timothy H T Cheng
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - John Pearson
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Stephen Kazakoff
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Nicola Waddell
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Erling A Hoivik
- Centre for Cancer Biomarkers, Department of Clinical Science, The University of Bergen, N5020 Bergen, Norway; Department of Obstetrics and Gynecology, Haukeland University Hospital, N5021 Bergen, Norway
| | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Rodney J Scott
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, NSW 2305, Australia; Pathology North (Newcastle) John Hunter Hospital, Newcastle, NSW 2305, Australia; Centre for Information Based Medicine, University of Newcastle, NSW 2308, Australia; School of Biomedical Sciences and Pharmacy, University of Newcastle, NSW 2308, Australia
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Juliet D French
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Helga B Salvesen
- Centre for Cancer Biomarkers, Department of Clinical Science, The University of Bergen, N5020 Bergen, Norway; Department of Obstetrics and Gynecology, Haukeland University Hospital, N5021 Bergen, Norway
| | - Pamela M Pollock
- Institute of Health and Biomedical Innovation and School of Biomedical Science, Queensland University of Technology at the Translation Research Institute, Brisbane 4102, Australia
| | - Deborah J Thompson
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Amanda B Spurdle
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Stacey L Edwards
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
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149
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Three-dimensional disorganization of the cancer genome occurs coincident with long-range genetic and epigenetic alterations. Genome Res 2016; 26:719-31. [PMID: 27053337 PMCID: PMC4889976 DOI: 10.1101/gr.201517.115] [Citation(s) in RCA: 206] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Accepted: 04/04/2016] [Indexed: 12/29/2022]
Abstract
A three-dimensional chromatin state underpins the structural and functional basis of the genome by bringing regulatory elements and genes into close spatial proximity to ensure proper, cell-type–specific gene expression profiles. Here, we performed Hi-C chromosome conformation capture sequencing to investigate how three-dimensional chromatin organization is disrupted in the context of copy-number variation, long-range epigenetic remodeling, and atypical gene expression programs in prostate cancer. We find that cancer cells retain the ability to segment their genomes into megabase-sized topologically associated domains (TADs); however, these domains are generally smaller due to establishment of additional domain boundaries. Interestingly, a large proportion of the new cancer-specific domain boundaries occur at regions that display copy-number variation. Notably, a common deletion on 17p13.1 in prostate cancer spanning the TP53 tumor suppressor locus results in bifurcation of a single TAD into two distinct smaller TADs. Change in domain structure is also accompanied by novel cancer-specific chromatin interactions within the TADs that are enriched at regulatory elements such as enhancers, promoters, and insulators, and associated with alterations in gene expression. We also show that differential chromatin interactions across regulatory regions occur within long-range epigenetically activated or silenced regions of concordant gene activation or repression in prostate cancer. Finally, we present a novel visualization tool that enables integrated exploration of Hi-C interaction data, the transcriptome, and epigenome. This study provides new insights into the relationship between long-range epigenetic and genomic dysregulation and changes in higher-order chromatin interactions in cancer.
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150
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Du M, Tillmans L, Gao J, Gao P, Yuan T, Dittmar RL, Song W, Yang Y, Sahr N, Wang T, Wei GH, Thibodeau SN, Wang L. Chromatin interactions and candidate genes at ten prostate cancer risk loci. Sci Rep 2016; 6:23202. [PMID: 26979803 PMCID: PMC4793270 DOI: 10.1038/srep23202] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 03/02/2016] [Indexed: 12/12/2022] Open
Abstract
Genome-wide association studies have identified more than 100 common single nucleotide polymorphisms (SNPs) that are associated with prostate cancer risk. However, the vast majority of these SNPs lie in noncoding regions of the genome. To test whether these risk SNPs regulate their target genes through long-range chromatin interactions, we applied capture-based 3C sequencing technology to investigate possible cis-interactions at ten prostate cancer risk loci in six cell lines. We identified significant physical interactions between risk regions and their potential target genes including CAPG at 2p11.2, C2orf43 at 2p24.1, RFX6 at 6q22.1, NFASC at 1q32.1, MYC at 8q24.1 and AGAP7P at 10q11.23. Most of the interaction peaks were co-localized to regions of active histone modification and transcription factor binding sites. Expression quantitative trait locus (eQTL) analysis showed suggestive eQTL signals at rs1446669, rs699664 and rs1078004 for CAPG (p < 0.004), rs13394027 for C2orf43 (p = 2.25E-27), rs10993994 and rs4631830 for AGAP7P (p < 8.02E-5). Further analysis revealed an enhancer activity at genomic region surrounding rs4631830 which was expected to disrupt HOXB-like DNA binding affinity. This study identifies a set of candidate genes and their potential regulatory variants, and provides additional evidence showing the role of long-range chromatin interactions in prostate cancer etiology.
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Affiliation(s)
- Meijun Du
- Department of Pathology, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Lori Tillmans
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, 55905, MN, USA
| | - Jianzhong Gao
- Beijing 3H Medical Technology Co. Ltd., Beijing, 100176, China
| | - Ping Gao
- Faculty of Biochemistry and Molecular Medicine and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Tiezheng Yuan
- Department of Pathology, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Rachel L Dittmar
- Department of Pathology, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Wei Song
- Faculty of Biochemistry and Molecular Medicine and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Yuehong Yang
- Faculty of Biochemistry and Molecular Medicine and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Natasha Sahr
- Division of Biostatistics, Institute for Health &Society, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Tao Wang
- Division of Biostatistics, Institute for Health &Society, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
| | - Gong-Hong Wei
- Faculty of Biochemistry and Molecular Medicine and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Stephen N Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, 55905, MN, USA
| | - Liang Wang
- Department of Pathology, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, 53226, WI, USA
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