Literature DB >> 22342187

Structural and genic characterization of stable genomic regions in breast cancer: relevance to chemotherapy.

Nicole I Park1, Peter K Rogan, Heather E Tarnowski, Joan H M Knoll.   

Abstract

BACKGROUND: Cancer genomes accumulate frequent and diverse chromosomal abnormalities as well as gene mutations but must maintain the ability to survive in vivo. We hypothesize that genetic selection acts to maintain tumour survival by preserving copy number of specific genes and genomic regions. Genomic regions and genes that remain unaltered in copy number and expression, respectively, may be essential for maintaining tumour survival.
METHODS: We analyzed copy number data of 243 previously reported breast tumours and computationally derived stable copy number regions. To identify genes in stable copy number regions with nominal changes in expression, datasets for tumour and normal samples were compared. Results were replicated by analysis of a series of independent copy number, expression and genomic sequencing studies. A subset of stable regions, including stable paralogous regions, were confirmed by quantitative PCR and fluorescence in situ hybridization (FISH) in 5 breast cancer cell lines. We deduced a comprehensive set of dually stable genes (i.e. maintaining nominal copy number and expression) which were categorized according to pathway and ontology assignments. The stability of genes encoding therapeutic drug targets was also assessed. RESULTS AND
CONCLUSION: Tumour genome analysis revealed 766 unstable (amplified and/or deleted) and 812 stable contiguous genomic regions. Replication analysis of an independent set of 171 breast tumours confirmed copy number stability of 1.3 Gb of the genome. We found that 5804 of these genes were dually stable. The composition of this gene set remained essentially unchanged (<2% reduction) after accounting for commonly mutated breast cancer genes found by sequencing and differential expression. The stable breast cancer genome is enriched for cellular metabolism, regulation of gene expression, DNA packaging (chromatin and nucleosome assembly), and regulation of apoptosis functions. Stable genes participating in multiple essential pathways were consistently found to be targets of chemotherapies. Preservation of stable, essential genes may be related to the effectiveness of certain chemotherapeutic agents that act on multiple gene products in this set.
Copyright © 2012 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22342187      PMCID: PMC5528331          DOI: 10.1016/j.molonc.2012.01.001

Source DB:  PubMed          Journal:  Mol Oncol        ISSN: 1574-7891            Impact factor:   6.603


  53 in total

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  8 in total

1.  Structural and genic characterization of stable genomic regions in breast cancer: relevance to chemotherapy.

Authors:  Nicole I Park; Peter K Rogan; Heather E Tarnowski; Joan H M Knoll
Journal:  Mol Oncol       Date:  2012-01-15       Impact factor: 6.603

2.  Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning.

Authors:  Stephanie N Dorman; Katherina Baranova; Joan H M Knoll; Brad L Urquhart; Gabriella Mariani; Maria Luisa Carcangiu; Peter K Rogan
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Review 3.  Recent Advances in Discovering the Role of CCL5 in Metastatic Breast Cancer.

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4.  arrayMap: a reference resource for genomic copy number imbalances in human malignancies.

Authors:  Haoyang Cai; Nitin Kumar; Michael Baudis
Journal:  PLoS One       Date:  2012-05-18       Impact factor: 3.240

5.  Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning.

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6.  Next Generation Sequencing of Circulating Cell-Free DNA for Evaluating Mutations and Gene Amplification in Metastatic Breast Cancer.

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7.  Identifying putative breast cancer-associated long intergenic non-coding RNA loci by high density SNP array analysis.

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Review 8.  Personalizing health care: feasibility and future implications.

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  8 in total

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