Literature DB >> 17471469

Single nucleotide polymorphism array analysis of chromosomal instability patterns discriminates rectal adenomas from carcinomas.

E H Lips1, E J de Graaf, R A E M Tollenaar, R van Eijk, J Oosting, K Szuhai, T Karsten, Y Nanya, S Ogawa, C J van de Velde, P H C Eilers, Tom van Wezel, H Morreau.   

Abstract

Total mesorectal excision (TME) is the standard treatment for rectal cancer, while transanal endoscopic microsurgery (TEM) is a recently introduced surgical approach for the treatment of rectal adenomas. Incorrect preoperative staging before TEM is a problem. To identify genetic changes that might correlate with tumour stage and could lead to optimized treatment selection we performed a genome-wide chromosomal instability search in a homogeneous, clinical cohort of rectal tumours. 78 rectal tumours during different clinical stages were analysed with 10K single nucleotide polymorphism (SNP) arrays. Logistic regression was performed to build a quantitative model of specific chromosomal aberrations. Overall, most cases (95%) had one or more chromosomal aberrations. We observed a clear correlation between the total number of aberrations and the different tumour stages. Specifically, the chromosomal events: gain of 8q22-24, 13q and 20q, and loss of 17p and 18q12-22, were far more abundant in carcinoma than in adenoma. In adenoma fractions from cases with a carcinoma (infiltrating at least in the submucosa), twice the amount of such 'malignant aberrations' was observed, compared to pure adenomas. Furthermore, combined aberrations such as gain of 13q and loss of 18q were only found in adenomatous fractions of carcinomas and not in benign lesions. Based on these five genomic events associated with carcinoma, a clear distinction between adenoma and carcinoma tissue could be made. These data should be validated further in order that they may be used in preoperative staging of rectal tumours. Copyright (c) 2007 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17471469     DOI: 10.1002/path.2180

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  17 in total

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Authors:  Alan M Pittman; Silvia Naranjo; Emily Webb; Peter Broderick; Esther H Lips; Tom van Wezel; Hans Morreau; Kate Sullivan; Sarah Fielding; Philip Twiss; Jayaram Vijayakrishnan; Fernando Casares; Mobshra Qureshi; José Luis Gómez-Skarmeta; Richard S Houlston
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3.  Role of microRNA 30a targeting insulin receptor substrate 2 in colorectal tumorigenesis.

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Journal:  Mol Cell Biol       Date:  2015-01-12       Impact factor: 4.272

4.  DNA copy number profiling in microsatellite-stable and microsatellite-unstable hereditary non-polyposis colorectal cancers by targeted CNV array.

Authors:  Weixiang Chen; Jun Ding; Long Jiang; Zebing Liu; Xiaoyan Zhou; Daren Shi
Journal:  Funct Integr Genomics       Date:  2016-11-28       Impact factor: 3.410

5.  sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors.

Authors:  Wenhan Chen; Alan J Robertson; Devika Ganesamoorthy; Lachlan J M Coin
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Authors:  Li Zhang; Yoshitsugu Mitani; Carlos Caulin; Pulivarthi H Rao; Merrill S Kies; Pierre Saintigny; Nianxiang Zhang; Randal S Weber; Scott M Lippman; Adel K El-Naggar
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Authors:  Musaffe Tuna; Marcel Smid; Dakai Zhu; John W M Martens; Christopher I Amos
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8.  Clinical omics analysis of colorectal cancer incorporating copy number aberrations and gene expression data.

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Journal:  Cancer Inform       Date:  2010-07-29

9.  SNP arrays in heterogeneous tissue: highly accurate collection of both germline and somatic genetic information from unpaired single tumor samples.

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Journal:  Am J Hum Genet       Date:  2008-03-20       Impact factor: 11.025

10.  IRS2 is a candidate driver oncogene on 13q34 in colorectal cancer.

Authors:  Elizabeth Day; George Poulogiannis; Frank McCaughan; Shani Mulholland; Mark J Arends; Ashraf E K Ibrahim; Paul H Dear
Journal:  Int J Exp Pathol       Date:  2013-04-18       Impact factor: 1.925

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