Literature DB >> 11167085

The value of the human epidermal growth factor receptor-2 (HER2) as a prognostic marker.

T Cooke1, J Reeves, A Lannigan, P Stanton.   

Abstract

The prognosis for patients with breast cancer is determined by well-established pathological features associated with biological aggressiveness, histological grade, tumour size and nodal involvement. These remain the key determinants, despite the identification of numerous other potential biological markers. The use of prognostic indices, such as the Nottingham Prognostic Index (NPI), which combines and weights these factors, enables clinicians to predict outcome with a certain amount of accuracy. Approximately 20-30% of breast cancers express very high quantities of the human epidermal growth factor receptor-2 (HER2) protein and this is almost always associated with gene amplification. With the use of sensitive techniques, such as the radio-immunohistochemical method (rIHC) described herein, to quantify HER2 protein levels, up to a further 50% of such cancers will be found to express the HER2 receptor at least 4-fold higher than normal breast cells. Adding HER2 expression to the NPI helps to determine more accurately the prognosis for individual patients, particularly those with node-negative disease. Overall, the main value of HER2 measurement is likely to be in the prediction of response to therapies targeting the HER2 gene and protein.

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Year:  2001        PMID: 11167085

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


  6 in total

1.  The adaptor proteins p66Shc and Grb2 regulate the activation of the GTPases ARF1 and ARF6 in invasive breast cancer cells.

Authors:  Eric Haines; Caroline Saucier; Audrey Claing
Journal:  J Biol Chem       Date:  2014-01-09       Impact factor: 5.157

2.  Stability of the HER2 gene after primary chemotherapy in advanced breast cancer.

Authors:  Zsuzsanna Varga; Rosmarie Caduff; Bernhard Pestalozzi
Journal:  Virchows Arch       Date:  2005-01-14       Impact factor: 4.064

3.  A Nanobody Activation Immunotherapeutic that Selectively Destroys HER2-Positive Breast Cancer Cells.

Authors:  Melissa A Gray; Ran N Tao; Sandra M DePorter; David A Spiegel; Brian R McNaughton
Journal:  Chembiochem       Date:  2015-12-10       Impact factor: 3.164

4.  ERBB2 in cat mammary neoplasias disclosed a positive correlation between RNA and protein low expression levels: a model for erbB-2 negative human breast cancer.

Authors:  Sara Santos; Cláudia S Baptista; Rui M V Abreu; Estela Bastos; Irina Amorim; Ivo G Gut; Fátima Gärtner; Raquel Chaves
Journal:  PLoS One       Date:  2013-12-26       Impact factor: 3.240

5.  Prognostic contribution of mammographic breast density and HER2 overexpression to the Nottingham Prognostic Index in patients with invasive breast cancer.

Authors:  Amro Masarwah; Päivi Auvinen; Mazen Sudah; Vaiva Dabravolskaite; Otso Arponen; Anna Sutela; Sanna Oikari; Veli-Matti Kosma; Ritva Vanninen
Journal:  BMC Cancer       Date:  2016-11-02       Impact factor: 4.430

6.  The correlation between HER-2 expression and the CEUS and ARFI characteristics of breast cancer.

Authors:  Xiao-Yan Wang; Qiao Hu; Meng-Yuan Fang; Yan He; Hai-Ming Wei; Xue-Xue Chen; Bing Zhang
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

  6 in total

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