Literature DB >> 12048275

Loss of heterozygosity in benign breast epithelium in relation to breast cancer risk.

David M Euhus1, Leslie Cler, Narayan Shivapurkar, Sara Milchgrub, George N Peters, A Marilyn Leitch, Shashank Heda, Adi F Gazdar.   

Abstract

The multistage model of breast carcinogenesis suggests that errors in DNA replication and repair generate diversity in the breast epithelium (the mutator phenotype), resulting in selection and expansion of premalignant clones with an acquired survival advantage. We measured loss of heterozygosity (LOH) in breast epithelial cells obtained by random fine-needle aspiration (FNA) biopsy from 30 asymptomatic women whose risk of breast cancer had been defined by the Gail model. Polymorphic microsatellite markers were selected on the basis of their relevance to breast cancer. Breast epithelium of 11 (37%) of 30 women had normal cytology, and that of 19 (63%) had proliferative cytology (eight with atypia and 11 without atypia). LOH was detected in two women with normal cytology and in 14 women (seven with atypia and seven without atypia) with proliferative cytology (P =.007). The frequency of LOH was associated with the cytological diagnosis, as well. The mean proportion (range) of informative markers demonstrating LOH was 0.02 (0-0.20) for the 11 women with normal cytology, as compared with 0.15 (0-0.50) for the 19 women with proliferative cytology (P =.02). Mean lifetime risk for developing breast cancer, as calculated by the Gail model, was 16.7% for women with no LOH compared with 22.9% for women with any LOH (P =.05). These observations support a multistage model of breast carcinogenesis where the initiating events are those that result in genomic instability. Accurate individualized breast cancer risk assessment may be possible based on molecular analysis of breast epithelial cells obtained by random FNA.

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Year:  2002        PMID: 12048275     DOI: 10.1093/jnci/94.11.858

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  11 in total

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Journal:  Pathologe       Date:  2008-11       Impact factor: 1.011

Review 2.  Rating the risk factors for breast cancer.

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Review 3.  Genomic Changes in Normal Breast Tissue in Women at Normal Risk or at High Risk for Breast Cancer.

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Journal:  Breast Cancer (Auckl)       Date:  2016-08-17

4.  Genomic instability demonstrates similarity between DCIS and invasive carcinomas.

Authors:  Christopher M Heaphy; Marco Bisoffi; Nancy E Joste; Kathy B Baumgartner; Richard N Baumgartner; Jeffrey K Griffith
Journal:  Breast Cancer Res Treat       Date:  2008-09-11       Impact factor: 4.872

5.  Unbiased whole-genome amplification directly from clinical samples.

Authors:  Seiyu Hosono; A Fawad Faruqi; Frank B Dean; Yuefen Du; Zhenyu Sun; Xiaohong Wu; Jing Du; Stephen F Kingsmore; Michael Egholm; Roger S Lasken
Journal:  Genome Res       Date:  2003-04-14       Impact factor: 9.043

6.  NSAIDs modulate CDKN2A, TP53, and DNA content risk for progression to esophageal adenocarcinoma.

Authors:  Patricia C Galipeau; Xiaohong Li; Patricia L Blount; Carlo C Maley; Carissa A Sanchez; Robert D Odze; Kamran Ayub; Peter S Rabinovitch; Thomas L Vaughan; Brian J Reid
Journal:  PLoS Med       Date:  2007-02       Impact factor: 11.069

7.  An Improved Breast Epithelial Sampling Method for Molecular Profiling and Biomarker Analysis in Women at Risk for Breast Cancer.

Authors:  David N Danforth; Andrew C Warner; Darawalee Wangsa; Thomas Ried; Dominik Duelli; Armando C Filie; Sheila A Prindiville
Journal:  Breast Cancer (Auckl)       Date:  2015-06-08

8.  Development of an ammonium sulfate DNA extraction method for obtaining amplifiable DNA in a small number of cells and its application to clinical specimens.

Authors:  Seo Young Oh; Wook Youn Kim; Tae Sook Hwang; Hye Seung Han; So Dug Lim; Wan Seop Kim
Journal:  Biomed Res Int       Date:  2013-04-17       Impact factor: 3.411

9.  Clinical implications and utility of field cancerization.

Authors:  Gabriel D Dakubo; John P Jakupciak; Mark A Birch-Machin; Ryan L Parr
Journal:  Cancer Cell Int       Date:  2007-03-15       Impact factor: 5.722

10.  Histopathological Features of Non-Neoplastic Breast Parenchyma Do Not Predict BRCA Mutation Status of Patients with Invasive Breast Cancer.

Authors:  Soley Bayraktar; Hongming Qiu; Diane Liu; Yu Shen; Angelica M Gutierrez-Barrera; Banu K Arun; Aysegul A Sahin
Journal:  Biomark Cancer       Date:  2015-08-18
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