Literature DB >> 16434591

p53 Mutation analysis in breast tumors by a DNA microarray method.

Meredith Tennis1, Shiva Krishnan, Matthew Bonner, Christine B Ambrosone, John E Vena, Kirsten Moysich, Helen Swede, Susan McCann, Per Hall, Peter G Shields, Jo L Freudenheim.   

Abstract

The p53 gene acts as a regulator of cell growth and DNA repair in normal cells; inactivation of the gene seems to lead to cancer. It is the most commonly mutated gene in human cancers, and a high-throughput sequencing method is needed for cancer etiology studies using large sample sets. In our population-based case-control study of breast cancer, the p53 gene was amplified by PCR for 392 subjects from seven hospitals in Western New York using the Affymetrix GeneChip technology. One hundred thirty-eight (35%) of the breast tumors had p53 mutations, of which 88% were located in exons 5 to 8. New hotspots were identified at codons 179, 195, 196, 213, 217, 249, 254, 278, 281, and 298, and previously reported hotspots were found at codons 175, 248, and 273. Manual sequencing for exons 5 to 9 of the p53 gene was done for 139 tumors to validate the Affymetrix assay. The two methods had 100% concordance for mutations detectable by the Affymetrix assay. We also successfully assayed paraffin-embedded breast and lung tumors from as early as 1958 and employed a nested PCR strategy to improve weak PCR amplification. To have statistical power, the investigation of gene environment interactions and cancer requires a large number of tumor analyses, which are frequently only available from archived tissue from multiple sources. We have shown the utility of the Affymetrix GeneChip method under these challenging conditions and provided new data for the mutational spectra of breast cancer in a population-based study. (Cancer Epidemiol Biomarkers Prev 2006;15(1):80-5).

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Year:  2006        PMID: 16434591     DOI: 10.1158/1055-9965.EPI-05-0444

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  17 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-06       Impact factor: 11.205

4.  Single nucleotide polymorphisms in uracil-processing genes, intake of one-carbon nutrients and breast cancer risk.

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6.  Adiposity is associated with p53 gene mutations in breast cancer.

Authors:  Heather M Ochs-Balcom; Catalin Marian; Jing Nie; Theodore M Brasky; David S Goerlitz; Maurizio Trevisan; Stephen B Edge; Janet Winston; Deborah L Berry; Bhaskar V Kallakury; Jo L Freudenheim; Peter G Shields
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8.  DNA hypermethylation and clinicopathological features in breast cancer: the Western New York Exposures and Breast Cancer (WEB) Study.

Authors:  Meng Hua Tao; Peter G Shields; Jing Nie; Amy Millen; Christine B Ambrosone; Stephen B Edge; Shiva S Krishnan; Catalin Marian; Bin Xie; Janet Winston; Dominica Vito; Maurizio Trevisan; Jo L Freudenheim
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9.  Lifetime exposure to ambient air pollution and methylation of tumor suppressor genes in breast tumors.

Authors:  Catherine L Callahan; Matthew R Bonner; Jing Nie; Daikwon Han; Youjin Wang; Meng-Hua Tao; Peter G Shields; Catalin Marian; Kevin H Eng; Maurizio Trevisan; Jan Beyea; Jo L Freudenheim
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10.  Associations between polycyclic aromatic hydrocarbon-related exposures and p53 mutations in breast tumors.

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Journal:  Environ Health Perspect       Date:  2009-11-18       Impact factor: 9.031

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