Literature DB >> 25149474

Prostate cancer risk locus at 8q24 as a regulatory hub by physical interactions with multiple genomic loci across the genome.

Meijun Du1, Tiezheng Yuan1, Kala F Schilter1, Rachel L Dittmar1, Alexander Mackinnon1, Xiaoyi Huang1, Michael Tschannen2, Elizabeth Worthey2, Howard Jacob2, Shu Xia3, Jianzhong Gao4, Lori Tillmans5, Yan Lu6, Pengyuan Liu6, Stephen N Thibodeau5, Liang Wang7.   

Abstract

Chromosome 8q24 locus contains regulatory variants that modulate genetic risk to various cancers including prostate cancer (PC). However, the biological mechanism underlying this regulation is not well understood. Here, we developed a chromosome conformation capture (3C)-based multi-target sequencing technology and systematically examined three PC risk regions at the 8q24 locus and their potential regulatory targets across human genome in six cell lines. We observed frequent physical contacts of this risk locus with multiple genomic regions, in particular, inter-chromosomal interaction with CD96 at 3q13 and intra-chromosomal interaction with MYC at 8q24. We identified at least five interaction hot spots within the predicted functional regulatory elements at the 8q24 risk locus. We also found intra-chromosomal interaction genes PVT1, FAM84B and GSDMC and inter-chromosomal interaction gene CXorf36 in most of the six cell lines. Other gene regions appeared to be cell line-specific, such as RRP12 in LNCaP, USP14 in DU-145 and SMIN3 in lymphoblastoid cell line. We further found that the 8q24 functional domains more likely interacted with genomic regions containing genes enriched in critical pathways such as Wnt signaling and promoter motifs such as E2F1 and TCF3. This result suggests that the risk locus may function as a regulatory hub by physical interactions with multiple genes important for prostate carcinogenesis. Further understanding genetic effect and biological mechanism of these chromatin interactions will shed light on the newly discovered regulatory role of the risk locus in PC etiology and progression.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2014        PMID: 25149474      PMCID: PMC4262497          DOI: 10.1093/hmg/ddu426

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  65 in total

1.  Looping and interaction between hypersensitive sites in the active beta-globin locus.

Authors:  Bas Tolhuis; Robert Jan Palstra; Erik Splinter; Frank Grosveld; Wouter de Laat
Journal:  Mol Cell       Date:  2002-12       Impact factor: 17.970

2.  Sensitive detection of chromatin coassociations using enhanced chromosome conformation capture on chip.

Authors:  Tom Sexton; Sreenivasulu Kurukuti; Jennifer A Mitchell; David Umlauf; Takashi Nagano; Peter Fraser
Journal:  Nat Protoc       Date:  2012-06-21       Impact factor: 13.491

3.  Chromosome Conformation Capture Carbon Copy (5C): a massively parallel solution for mapping interactions between genomic elements.

Authors:  Josée Dostie; Todd A Richmond; Ramy A Arnaout; Rebecca R Selzer; William L Lee; Tracey A Honan; Eric D Rubio; Anton Krumm; Justin Lamb; Chad Nusbaum; Roland D Green; Job Dekker
Journal:  Genome Res       Date:  2006-09-05       Impact factor: 9.043

4.  Circular chromosome conformation capture (4C) uncovers extensive networks of epigenetically regulated intra- and interchromosomal interactions.

Authors:  Zhihu Zhao; Gholamreza Tavoosidana; Mikael Sjölinder; Anita Göndör; Piero Mariano; Sha Wang; Chandrasekhar Kanduri; Magda Lezcano; Kuljeet Singh Sandhu; Umashankar Singh; Vinod Pant; Vijay Tiwari; Sreenivasulu Kurukuti; Rolf Ohlsson
Journal:  Nat Genet       Date:  2006-10-08       Impact factor: 38.330

5.  Quantitative analysis of chromosome conformation capture assays (3C-qPCR).

Authors:  Hélène Hagège; Petra Klous; Caroline Braem; Erik Splinter; Job Dekker; Guy Cathala; Wouter de Laat; Thierry Forné
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

6.  The common colorectal cancer predisposition SNP rs6983267 at chromosome 8q24 confers potential to enhanced Wnt signaling.

Authors:  Sari Tuupanen; Mikko Turunen; Rainer Lehtonen; Outi Hallikas; Sakari Vanharanta; Teemu Kivioja; Mikael Björklund; Gonghong Wei; Jian Yan; Iina Niittymäki; Jukka-Pekka Mecklin; Heikki Järvinen; Ari Ristimäki; Mariachiara Di-Bernardo; Phil East; Luis Carvajal-Carmona; Richard S Houlston; Ian Tomlinson; Kimmo Palin; Esko Ukkonen; Auli Karhu; Jussi Taipale; Lauri A Aaltonen
Journal:  Nat Genet       Date:  2009-06-28       Impact factor: 38.330

7.  High-throughput screening of a CRISPR/Cas9 library for functional genomics in human cells.

Authors:  Yuexin Zhou; Shiyou Zhu; Changzu Cai; Pengfei Yuan; Chunmei Li; Yanyi Huang; Wensheng Wei
Journal:  Nature       Date:  2014-04-09       Impact factor: 49.962

8.  Long-range interactions between three transcriptional enhancers, active Vkappa gene promoters, and a 3' boundary sequence spanning 46 kilobases.

Authors:  Zhe Liu; William T Garrard
Journal:  Mol Cell Biol       Date:  2005-04       Impact factor: 4.272

9.  E2F1 suppresses Wnt/β-catenin activity through transactivation of β-catenin interacting protein ICAT.

Authors:  Z Wu; S Zheng; Z Li; J Tan; Q Yu
Journal:  Oncogene       Date:  2011-05-02       Impact factor: 9.867

10.  HERC2 rs12913832 modulates human pigmentation by attenuating chromatin-loop formation between a long-range enhancer and the OCA2 promoter.

Authors:  Mijke Visser; Manfred Kayser; Robert-Jan Palstra
Journal:  Genome Res       Date:  2012-01-10       Impact factor: 9.043

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  37 in total

1.  Molecular signatures of X chromosome inactivation and associations with clinical outcomes in epithelial ovarian cancer.

Authors:  Stacey J Winham; Nicholas B Larson; Sebastian M Armasu; Zachary C Fogarty; Melissa C Larson; Brian M McCauley; Chen Wang; Kate Lawrenson; Simon Gayther; Julie M Cunningham; Brooke L Fridley; Ellen L Goode
Journal:  Hum Mol Genet       Date:  2019-04-15       Impact factor: 6.150

2.  Application of Monte Carlo cross-validation to identify pathway cross-talk in neonatal sepsis.

Authors:  Yuxia Zhang; Cui Liu; Jingna Wang; Xingxia Li
Journal:  Exp Biol Med (Maywood)       Date:  2018-03

3.  Genome-wide map of proximity linkage to renin proximal promoter in rat.

Authors:  Timothy J Stodola; Pengyuan Liu; Yong Liu; Andrew K Vallejos; Aron M Geurts; Andrew S Greene; Mingyu Liang
Journal:  Physiol Genomics       Date:  2018-03-09       Impact factor: 3.107

4.  Analysis of Over 140,000 European Descendants Identifies Genetically Predicted Blood Protein Biomarkers Associated with Prostate Cancer Risk.

Authors:  Lang Wu; Xiang Shu; Jiandong Bao; Xingyi Guo; Zsofia Kote-Jarai; Christopher A Haiman; Rosalind A Eeles; Wei Zheng
Journal:  Cancer Res       Date:  2019-07-23       Impact factor: 12.701

5.  Association between genetic variations at 8q24 and prostate cancer risk in Mexican Men.

Authors:  B Silva-Ramirez; E J Macías-González; O S Frausto-Valdes; M B Calao-Pérez; D I Ibarra-Pérez; J E Torres-García; A R Aragón-Tovar; K Peñuelas-Urquides; L A González-Escalante; M Bermúdez de León
Journal:  Prostate Cancer Prostatic Dis       Date:  2021-10-01       Impact factor: 5.455

6.  Variants on 8q24 and prostate cancer risk in Chinese population: a meta-analysis.

Authors:  Xiao-Qiang Ren; Jian-Guo Zhang; Shi-Yong Xin; Tao Cheng; Liang Li; Wei-Hua Ren
Journal:  Int J Clin Exp Med       Date:  2015-06-15

Review 7.  A Review of Prostate Cancer Genome-Wide Association Studies (GWAS).

Authors:  Sarah Benafif; Zsofia Kote-Jarai; Rosalind A Eeles
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-01-18       Impact factor: 4.254

Review 8.  Understanding the 3D genome: Emerging impacts on human disease.

Authors:  Anton Krumm; Zhijun Duan
Journal:  Semin Cell Dev Biol       Date:  2018-07-12       Impact factor: 7.727

Review 9.  Deubiquitinases and the new therapeutic opportunities offered to cancer.

Authors:  Roland Pfoh; Ira Kay Lacdao; Vivian Saridakis
Journal:  Endocr Relat Cancer       Date:  2015-02       Impact factor: 5.678

10.  Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast Cancer.

Authors:  Antonio Colaprico; Claudia Cava; Gloria Bertoli; Gianluca Bontempi; Isabella Castiglioni
Journal:  Biomed Res Int       Date:  2015-07-09       Impact factor: 3.411

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