Literature DB >> 18084325

Array painting reveals a high frequency of balanced translocations in breast cancer cell lines that break in cancer-relevant genes.

K D Howarth1, K A Blood, B L Ng, J C Beavis, Y Chua, S L Cooke, S Raby, K Ichimura, V P Collins, N P Carter, P A W Edwards.   

Abstract

Chromosome translocations in the common epithelial cancers are abundant, yet little is known about them. They have been thought to be almost all unbalanced and therefore dismissed as mostly mediating tumour suppressor loss. We present a comprehensive analysis by array painting of the chromosome translocations of breast cancer cell lines HCC1806, HCC1187 and ZR-75-30. In array painting, chromosomes are isolated by flow cytometry, amplified and hybridized to DNA microarrays. A total of 200 breakpoints were identified and all were mapped to 1 Mb resolution on bacterial artificial chromosome (BAC) arrays, then 40 selected breakpoints, including all balanced breakpoints, were further mapped on tiling-path BAC arrays or to around 2 kb resolution using oligonucleotide arrays. Many more of the translocations were balanced at 1 Mb resolution than expected, either reciprocal (eight in total) or balanced for at least one participating chromosome (19 paired breakpoints). Second, many of the breakpoints were at genes that are plausible targets of oncogenic translocation, including balanced breaks at CTCF, EP300/p300 and FOXP4. Two gene fusions were demonstrated, TAX1BP1-AHCY and RIF1-PKD1L1. Our results support the idea that chromosome rearrangements may play an important role in common epithelial cancers such as breast cancer.

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Year:  2007        PMID: 18084325      PMCID: PMC2423006          DOI: 10.1038/sj.onc.1210993

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  55 in total

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Journal:  Genomics       Date:  2002-03       Impact factor: 5.736

5.  Cytogenetic analysis of three breast carcinoma cell lines using reverse chromosome painting.

Authors:  J S Morris; N P Carter; M A Ferguson-Smith; P A Edwards
Journal:  Genes Chromosomes Cancer       Date:  1997-10       Impact factor: 5.006

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  34 in total

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Review 6.  Forkhead box proteins: tuning forks for transcriptional harmony.

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Review 8.  Cancer gene discovery in mouse and man.

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10.  PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data.

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