Literature DB >> 26773371

Genetic variants in the HER2 gene: Influence on HER2 overexpression and loss of heterozygosity in breast cancer.

Nicola Cresti1, Joanne Lee1, Emma Rourke2, Despina Televantou2, David Jamieson2, Mark Verrill3, Alan V Boddy4.   

Abstract

Human epidermal growth factor receptor 2 (HER2) overexpression in breast cancer is an indicator of poor prognosis and is the pre-requisite for treatment with the agents targeting this member of the epidermal growth factor receptor family. In order to determine the influence of these common single-nucleotide polymorphisms (SNPs) in the HER2 gene, genomic DNA was obtained from 361 patients with breast cancer, aged between 29 and 82 years. Samples of tumour tissue were obtained from 241 (66%) patients and material for extraction of DNA is isolated from surrounding normal tissue by laser capture microdissection. Genotyping was performed using the Taqman fluorogenic 5' nuclease assay. Of the 360 patients with definitive determination of HER2 status, 49% were positive. The Ile655Val SNP had no influence on the frequency of HER2 expression. However, the proline allele of the Ala1170Pro SNP was associated with a higher frequency of HER2 overexpression (56% versus 43%, p = 0.015). Where the germline genotype was homozygous, the tumour genotype was identical in every case and for both SNPs. In HER2-positive tumours, heterozygosity was maintained in only 15% and 18% of the Ile655Val and Ala1170Pro SNPs, respectively. This was lower than in the HER2-negative tumours (46% and 43%, respectively). Normal breast tissue (n = 23) retained the germline genotype in all but one case. The underlying link between the Ala1170Pro SNP and HER2 positivity is not known, nor is the significance of HER2 overexpression and loss of heterozygosity in breast cancer. However, these results illustrate the complexity of HER2 genotype and overexpression in this disease.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; HER2; Pharmacogenomics; Tumour heterogeneity

Mesh:

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Year:  2016        PMID: 26773371     DOI: 10.1016/j.ejca.2015.10.066

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  4 in total

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Journal:  Cancer Prev Res (Phila)       Date:  2021-01-08

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Journal:  Oncotarget       Date:  2017-12-23

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Journal:  Radiol Oncol       Date:  2017-11-01       Impact factor: 2.991

4.  Genetic polymorphisms of autophagy-related gene 5 (ATG5) rs473543 predict different disease-free survivals of triple-negative breast cancer patients receiving anthracycline- and/or taxane-based adjuvant chemotherapy.

Authors:  Meiying Li; Fei Ma; Jiayu Wang; Qing Li; Pin Zhang; Peng Yuan; Yang Luo; Ruigang Cai; Ying Fan; Shanshan Chen; Qiao Li; Binghe Xu
Journal:  Chin J Cancer       Date:  2018-01-31
  4 in total

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