Regional copy number–independent deregulation of transcription in cancer

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ABSTRACT Genetic and epigenetic alterations have been identified that lead to transcriptional deregulation in cancers. Genetic mechanisms may affect single genes or regions containing


several neighboring genes, as has been shown for DNA copy number changes. It was recently reported that epigenetic suppression of gene expression can also extend to a whole region; this is


known as long-range epigenetic silencing. Various techniques are available for identifying regional genetic alterations, but no large-scale analysis has yet been carried out to obtain an


overview of regional epigenetic alterations. We carried out an exhaustive search for regions susceptible to such mechanisms using a combination of transcriptome correlation map analysis and


array CGH data for a series of bladder carcinomas. We validated one candidate region experimentally, demonstrating histone methylation leading to the loss of expression of neighboring genes


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our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS EPIGENETIC REGULATION DURING CANCER TRANSITIONS ACROSS 11 TUMOUR TYPES Article Open access 01 November 2023


INTEGRATIVE PAN CANCER ANALYSIS REVEALS EPIGENOMIC VARIATION IN CANCER TYPE AND CELL SPECIFIC CHROMATIN DOMAINS Article Open access 03 March 2021 HERITABLE TRANSCRIPTIONAL DEFECTS FROM


ABERRATIONS OF NUCLEAR ARCHITECTURE Article Open access 07 June 2023 ACCESSION CODES ACCESSIONS GENBANK/EMBL/DDBJ * E-TABM-147 CHANGE HISTORY * _ 27 FEBRUARY 2008 In the version of this


article initially published, the horizontal dashed lines representing the threshold value in the panels in row b of Figures 2 and 4 were incorrectly placed. The errors have been corrected in


the HTML and PDF versions of this article. _ REFERENCES * Solinas-Toldo, S. et al. Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances. _Genes


Chromosom. Cancer_ 20, 399–407 (1997). Article  CAS  Google Scholar  * Pinkel, D. et al. High resolution analysis of DNA copy number variation using comparative genomic hybridization to


microarrays. _Nat. Genet._ 20, 207–211 (1998). Article  CAS  Google Scholar  * Hughes, T.R. et al. Widespread aneuploidy revealed by DNA microarray expression profiling. _Nat. Genet._ 25,


333–337 (2000). Article  CAS  Google Scholar  * Hyman, E. et al. Impact of DNA amplification on gene expression patterns in breast cancer. _Cancer Res._ 62, 6240–6245 (2002). CAS  PubMed 


Google Scholar  * Pollack, J.R. et al. Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors. _Proc. Natl. Acad.


Sci. USA_ 99, 12963–12968 (2002). Article  CAS  Google Scholar  * Masayesva, B.G. et al. Gene expression alterations over large chromosomal regions in cancers include multiple genes


unrelated to malignant progression. _Proc. Natl. Acad. Sci. USA_ 101, 8715–8720 (2004). Article  CAS  Google Scholar  * Heidenblad, M. et al. Microarray analyses reveal strong influence of


DNA copy number alterations on the transcriptional patterns in pancreatic cancer: implications for the interpretation of genomic amplifications. _Oncogene_ 24, 1794–1801 (2005). Article  CAS


  Google Scholar  * Crawley, J.J. & Furge, K.A. Identification of frequent cytogenetic aberrations in hepatocellular carcinoma using gene-expression microarray data. _Genome Biol._ 3,


RESEARCH0075 (2002). Article  Google Scholar  * Zhou, Y. et al. Genome-wide identification of chromosomal regions of increased tumor expression by transcriptome analysis. _Cancer Res._ 63,


5781–5784 (2003). CAS  PubMed  Google Scholar  * Kano, M. et al. Expression imbalance map: a new visualization method for detection of mRNA expression imbalance regions. _Physiol. Genomics_


13, 31–46 (2003). Article  CAS  Google Scholar  * Midorikawa, Y. et al. Distinct chromosomal bias of gene expression signatures in the progression of hepatocellular carcinoma. _Cancer Res._


64, 7263–7270 (2004). Article  CAS  Google Scholar  * Furge, K.A., Dykema, K.J., Ho, C. & Chen, X. Comparison of array-based comparative genomic hybridization with gene expression-based


regional expression biases to identify genetic abnormalities in hepatocellular carcinoma. _BMC Genomics_ 6, 67 (2005). Article  Google Scholar  * Yang, X.J. et al. A molecular classification


of papillary renal cell carcinoma. _Cancer Res._ 65, 5628–5637 (2005). Article  CAS  Google Scholar  * Fujii, T. et al. A preliminary transcriptome map of non-small cell lung cancer.


_Cancer Res._ 62, 3340–3346 (2002). CAS  PubMed  Google Scholar  * Cohen, B.A., Mitra, R.D., Hughes, J.D. & Church, G.M. A computational analysis of whole-genome expression data reveals


chromosomal domains of gene expression. _Nat. Genet._ 26, 183–186 (2000). Article  CAS  Google Scholar  * Spellman, P.T. & Rubin, G.M. Evidence for large domains of similarly expressed


genes in the _Drosophila_ genome. _J. Biol._ 1, 5 (2002). Article  Google Scholar  * Reyal, F. et al. Visualizing chromosomes as transcriptome correlation maps: evidence of chromosomal


domains containing co-expressed genes–a study of 130 invasive ductal breast carcinomas. _Cancer Res._ 65, 1376–1383 (2005). Article  CAS  Google Scholar  * Yi, Y., Mirosevich, J., Shyr, Y.,


Matusik, R. & George, A.L., Jr . Coupled analysis of gene expression and chromosomal location. _Genomics_ 85, 401–412 (2005). Article  CAS  Google Scholar  * Frigola, J. et al.


Epigenetic remodeling in colorectal cancer results in coordinate gene suppression across an entire chromosome band. _Nat. Genet._ 38, 540–549 (2006). Article  CAS  Google Scholar  * Turner,


B.M. Cellular memory and the histone code. _Cell_ 111, 285–291 (2002). Article  CAS  Google Scholar  * Nguyen, C.T. et al. Histone H3-lysine 9 methylation is associated with aberrant gene


silencing in cancer cells and is rapidly reversed by 5-aza-2'-deoxycytidine. _Cancer Res._ 62, 6456–6461 (2002). CAS  PubMed  Google Scholar  * Daigo, Y. et al. Molecular cloning of a


candidate tumor suppressor gene, DLC1, from chromosome 3p21.3. _Cancer Res._ 59, 1966–1972 (1999). CAS  PubMed  Google Scholar  * Nakamura, Y. et al. Phospholipase Cdelta1 is required for


skin stem cell lineage commitment. _EMBO J._ 22, 2981–2991 (2003). Article  CAS  Google Scholar  * Chambeyron, S. & Bickmore, W.A. Chromatin decondensation and nuclear reorganization of


the HoxB locus upon induction of transcription. _Genes Dev._ 18, 1119–1130 (2004). Article  CAS  Google Scholar  * Huebert, D.J. & Bernstein, B.E. Genomic views of chromatin. _Curr.


Opin. Genet. Dev._ 15, 476–481 (2005). Article  CAS  Google Scholar  * Gialitakis, M. et al. Coordinated changes of histone modifications and HDAC mobilization regulate the induction of MHC


class II genes by trichostatin A. _Nucleic Acids Res._ 34, 765–772 (2006). Article  CAS  Google Scholar  * Bird, A. DNA methylation patterns and epigenetic memory. _Genes Dev._ 16, 6–21


(2002). Article  CAS  Google Scholar  * van Driel, R., Fransz, P.F. & Verschure, P.J. The eukaryotic genome: a system regulated at different hierarchical levels. _J. Cell Sci._ 116,


4067–4075 (2003). Article  CAS  Google Scholar  * Zardo, G. et al. Integrated genomic and epigenomic analyses pinpoint biallelic gene inactivation in tumors. _Nat. Genet._ 32, 453–458


(2002). Article  CAS  Google Scholar  * Hurst, L.D., Pal, C. & Lercher, M.J. The evolutionary dynamics of eukaryotic gene order. _Nat. Rev. Genet._ 5, 299–310 (2004). Article  CAS 


Google Scholar  * Sproul, D., Gilbert, N. & Bickmore, W.A. The role of chromatin structure in regulating the expression of clustered genes. _Nat. Rev. Genet._ 6, 775–781 (2005). Article


  CAS  Google Scholar  * Chang, H.Y. et al. Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds. _PLoS Biol._ 2,


E7 (2004). Article  Google Scholar  * Diez de Medina, S.G. et al. Decreased expression of keratinocyte growth factor receptor in a subset of human transitional cell bladder carcinomas.


_Oncogene_ 14, 323–330 (1997). Article  CAS  Google Scholar  * Chirgwin, J.M., Przybyla, A.E., MacDonald, R.J. & Rutter, W.J. Isolation of biologically active ribonucleic acid from


sources enriched in ribonuclease. _Biochemistry_ 18, 5294–5299 (1979). Article  CAS  Google Scholar  * Coombs, L.M. et al. Simultaneous isolation of DNA, RNA, and antigenic protein


exhibiting kinase activity from small tumor samples using guanidine isothiocyanate. _Anal. Biochem._ 188, 338–343 (1990). Article  CAS  Google Scholar  * Labarca, C. & Paigen, K. A


simple, rapid, and sensitive DNA assay procedure. _Anal. Biochem._ 102, 344–352 (1980). Article  CAS  Google Scholar  * Snijders, A.M. et al. Genome-wide-array-based comparative genomic


hybridization reveals genetic homogeneity and frequent copy number increases encompassing CCNE1 in fallopian tube carcinoma. _Oncogene_ 22, 4281–4286 (2003). Article  CAS  Google Scholar  *


Jain, A.N. et al. Fully automatic quantification of microarray image data. _Genome Res._ 12, 325–332 (2002). Article  CAS  Google Scholar  * Neuvial, P. et al. Spatial normalization of


array-CGH data. _BMC Bioinformatics_ 7, 264 (2006). Article  Google Scholar  * Hupé, P., Stransky, N., Thiery, J.P., Radvanyi, F. & Barillot, E. Analysis of array CGH data: from signal


ratio to gain and loss of DNA regions. _Bioinformatics_ 20, 3413–3422 (2004). Article  Google Scholar  * Southgate, J., Hutton, K.A., Thomas, D.F. & Trejdosiewicz, L.K. Normal human


urothelial cells in vitro: proliferation and induction of stratification. _Lab. Invest._ 71, 583–594 (1994). CAS  PubMed  Google Scholar  * Xiong, Z. & Laird, P.W. COBRA: a sensitive and


quantitative DNA methylation assay. _Nucleic Acids Res._ 25, 2532–2534 (1997). Article  CAS  Google Scholar  * O'Neill, L.P. & Turner, B.M. Immunoprecipitation of native chromatin:


NChIP. _Methods_ 31, 76–82 (2003). Article  CAS  Google Scholar  * Kent, W.J. BLAT–the BLAST-like alignment tool. _Genome Res._ 12, 656–664 (2002). Article  CAS  Google Scholar  * R


development core team _R: a Language and Environment for Statistical Computing_. (R Foundation for Statistical Computing, Vienna, 2006). Download references ACKNOWLEDGEMENTS We thank C.


Rouveirol for discussions, P. Hupé for his GLAD algorithm expertise and the Institut Curie Bioinformatics Service headed by E. Barillot for support. We also thank J. Sappa from Alex Edelman


& Associates for careful reading of the manuscript and the UCSF Cancer Center Array CGH Core for providing the BAC arrays. This article is dedicated to the memory of D. Chopin, whose


commitment to cancer research was of paramount importance for the initiation of this work. This work was supported by the CNRS, the Institut Curie, AstraZeneca, the Canceropole Ile de France


and the Ligue Nationale Contre le Cancer. N.S., C.V., F. Reyal, I.B.-P., S.G.D. de M. and F. Radvanyi are members of the Equipe Oncologie Moléculaire, labellisée par La Ligue Nationale


Contre le Cancer. N.S. was supported by a fellowship from the French Ministry of Education and Research and a fellowship from the Association pour la Recherche sur le Cancer. C.V. was


supported by a fellowship from the French Ministry of Education and Research and F. Reyal by a fellowship from the Ligue Nationale Contre le Cancer. AUTHOR INFORMATION Author notes *


Dominique K Chopin: Deceased. * Nicolas Stransky and Céline Vallot: These authors contributed equally to this work. AUTHORS AND AFFILIATIONS * UMR 144 Centre National de la Recherche


Scientifique (CNRS)/Institut Curie, Paris, 75248 Cedex 05, France Nicolas Stransky, Céline Vallot, Fabien Reyal, Isabelle Bernard-Pierrot, Sixtina Gil Diez de Medina, Jean Paul Thiery & 


François Radvanyi * EMI Institut National de la Santé et de la Recherche Médicale (INSERM) 03-37, Hôpital Henri Mondor, Créteil, 94010, Cedex, France Sixtina Gil Diez de Medina, Yves Allory,


 Claude C Abbou & Dominique K Chopin * Comprehensive Cancer Center, University of California San Francisco (UCSF), San Francisco, 94143, California, USA Rick Segraves, Donna G Albertson 


& Daniel Pinkel * Department of Biostatistics, Institut Curie, Paris, 75248 Cedex 05, France Yann de Rycke & Bernard Asselain * Cancer and Infection Research Area, AstraZeneca,


Mereside, Alderley Park, Macclesfield, SK10 4TG, Cheshire, UK Paul Elvin, Andrew Cassidy, Carolyn Spraggon & Alexander Graham * Department of Biology, Jack Birch Unit of Molecular


Carcinogenesis, University of York, Heslington, YO10 5DD, York, UK Jennifer Southgate * Department of Pathology, Hôpital Henri Mondor, Créteil, 94010, Cedex, France Yves Allory * Department


of Urology, Hôpital Henri Mondor, Créteil, 94010, Cedex, France Claude C Abbou & Dominique K Chopin * Cancer Research Institute, UCSF, San Francisco, 94143, California, USA Donna G


Albertson * Department of Translational Research, Institut Curie, Paris, 75248, Cedex 05, France Jean Paul Thiery * Institute of Molecular and Cell Biology, Proteos, 138673, Singapore Jean


Paul Thiery Authors * Nicolas Stransky View author publications You can also search for this author inPubMed Google Scholar * Céline Vallot View author publications You can also search for


this author inPubMed Google Scholar * Fabien Reyal View author publications You can also search for this author inPubMed Google Scholar * Isabelle Bernard-Pierrot View author publications


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publications You can also search for this author inPubMed Google Scholar * Donna G Albertson View author publications You can also search for this author inPubMed Google Scholar * Jean Paul


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inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to François Radvanyi. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing financial interests. SUPPLEMENTARY


INFORMATION SUPPLEMENTARY FIG. 1 Transcriptome correlation maps of all chromosomes for the 57 bladder carcinomas. (PDF 1711 kb) SUPPLEMENTARY FIG. 2 Quantitative PCR analysis of the gene


copy number of region 3-2. (PDF 33 kb) SUPPLEMENTARY TABLE 1 Transcriptome correlation map of 57 bladder carcinomas for chromosomes 1 to X (PDF 130 kb) SUPPLEMENTARY TABLE 2 Clinical data of


the 57 bladder carcinomas. (PDF 42 kb) SUPPLEMENTARY TABLE 3 Primers for quantitative PCR, COBRA and ChIP experiments. (PDF 45 kb) SUPPLEMENTARY NOTE (PDF 42 KB) RIGHTS AND PERMISSIONS


Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Stransky, N., Vallot, C., Reyal, F. _et al._ Regional copy number–independent deregulation of transcription in cancer. _Nat


Genet_ 38, 1386–1396 (2006). https://doi.org/10.1038/ng1923 Download citation * Received: 09 August 2006 * Accepted: 13 October 2006 * Published: 12 November 2006 * Issue Date: 01 December


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