Literature DB >> 11454885

Value of epidermal growth factor receptor, HER2, p53, and steroid receptors in predicting the efficacy of tamoxifen in high-risk postmenopausal breast cancer patients.

A S Knoop1, S M Bentzen, M M Nielsen, B B Rasmussen, C Rose.   

Abstract

PURPOSE: Few studies have examined the possible importance of biologic prognostic factors in breast cancer connected with differentiation and growth in predicting response to a specific adjuvant treatment. HER2, epidermal growth factor receptor (EGFR), and p53 have all been suggested as possible markers of tamoxifen resistance. The aim of this study was to investigate interactions between adjuvant treatment with tamoxifen and the content of EGFR, HER2, and p53 in steroid receptor-positive patients. PATIENTS AND METHODS: A total of 1,716 high-risk postmenopausal breast cancer patients were randomly assigned to treatment with tamoxifen (868 women) or to observation (848 women) in a prospective trial (Danish Breast Cancer Cooperative Group's 77c protocol). The content of the steroid receptors and expression of p53, EGFR, and HER2 were determined by immunohistochemical analysis of paraffin-embedded tissue. The length of follow-up was 10 years. The end point for this analysis was disease-free survival.
RESULTS: Multivariate analysis demonstrated no increased risk of recurrence after treatment with tamoxifen for HER2-, EGFR-, and p53-positive, high-risk, steroid receptor-positive patients. Patients with steroid receptor-positive tumors and positive immunohistochemical staining for HER2, EGFR or p53 benefited from treatment with tamoxifen for 1 year, although the latter variable contained independent prognostic information by itself.
CONCLUSION: With the statistical power of the present randomized study, we did not find support for the hypothesis that HER2/EGFR or p53 status predicts benefit from tamoxifen treatment in estrogen receptor-positive patients with early-stage breast cancer. Thus, neither HER2, EGFR, nor p53 overexpression/accumulation should be used as a contraindication for giving tamoxifen.

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Year:  2001        PMID: 11454885     DOI: 10.1200/JCO.2001.19.14.3376

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  19 in total

1.  Expression profiling of breast cancer patients treated with tamoxifen: prognostic or predictive significance.

Authors:  Sanaz Tabarestani; Sayyed Mohammad Hossein Ghaderian; Hamid Rezvani; Reza Mirfakhraie
Journal:  Med Oncol       Date:  2014-02-22       Impact factor: 3.064

2.  ESR1 gene status correlates with estrogen receptor protein levels measured by ligand binding assay and immunohistochemistry.

Authors:  Anne-Vibeke Laenkholm; Ann Knoop; Bent Ejlertsen; Tine Rudbeck; Maj-Britt Jensen; Sven Müller; Anne Elisabeth Lykkesfeldt; Birgitte Bruun Rasmussen; Kirsten Vang Nielsen
Journal:  Mol Oncol       Date:  2012-05-08       Impact factor: 6.603

3.  A single nucleotide polymorphism in PIK3CA gene is inversely associated with P53 protein expression in breast cancer.

Authors:  Bo Pang; Shi-Peng Sun; Lei Gao; Rui-Li Zhu; Li-xin Zhang; Cheng An; Zhi-Yuan Liu; Gui-Jian Liu
Journal:  Med Oncol       Date:  2014-06-08       Impact factor: 3.064

Review 4.  Plasma membrane proteomics and its application in clinical cancer biomarker discovery.

Authors:  Rikke Leth-Larsen; Rikke R Lund; Henrik J Ditzel
Journal:  Mol Cell Proteomics       Date:  2010-04-08       Impact factor: 5.911

Review 5.  TP53 mutations and SNPs as prognostic and predictive factors in patients with breast cancer.

Authors:  Joanna Huszno; Ewa Grzybowska
Journal:  Oncol Lett       Date:  2018-05-03       Impact factor: 2.967

6.  Tamoxifen-resistant breast cancers show less frequent methylation of the estrogen receptor beta but not the estrogen receptor alpha gene.

Authors:  Ho Gun Chang; Sun Jung Kim; Ki-Wook Chung; Dong-Young Noh; Youngmee Kwon; Eun Sook Lee; Han-Sung Kang
Journal:  J Mol Med (Berl)       Date:  2004-11-05       Impact factor: 4.599

7.  HER2 evaluation and its impact on breast cancer treatment decisions.

Authors:  K A B Goddard; S Weinmann; K Richert-Boe; C Chen; J Bulkley; C Wax
Journal:  Public Health Genomics       Date:  2011-05-03       Impact factor: 2.000

8.  Epidermal growth factor receptor expression in breast cancer association with biologic phenotype and clinical outcomes.

Authors:  Mothaffar F Rimawi; Priya B Shetty; Heidi L Weiss; Rachel Schiff; C Kent Osborne; Gary C Chamness; Richard M Elledge
Journal:  Cancer       Date:  2010-03-01       Impact factor: 6.860

9.  Prognostic and predictive value of copy number alterations in invasive breast cancer as determined by multiplex ligation-dependent probe amplification.

Authors:  Sanaz Tabarestani; Sayyed Mohammad Hossein Ghaderian; Hamid Rezvani; Reza Mirfakhraie; Abdolali Ebrahimi; Hamid Attarian; Jahangir Rafat; Mojtaba Ghadyani; Hossein Afshin Alavi; Naser Kamalian; Afshin Rakhsha; Eznollah Azargashb
Journal:  Cell Oncol (Dordr)       Date:  2014-02-27       Impact factor: 6.730

10.  Gene expression signatures that predict outcome of tamoxifen-treated estrogen receptor-positive, high-risk, primary breast cancer patients: a DBCG study.

Authors:  Maria B Lyng; Anne-Vibeke Lænkholm; Qihua Tan; Werner Vach; Karina H Gravgaard; Ann Knoop; Henrik J Ditzel
Journal:  PLoS One       Date:  2013-01-16       Impact factor: 3.240

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