Literature DB >> 11051041

Molecular markers for predicting response to tamoxifen in breast cancer patients.

D R Ciocca1, R Elledge.   

Abstract

Tamoxifen is one of the most effective treatments for breast cancer. Standard practice is to select patients who are likely to respond to this therapy through the evaluation of estrogen receptor (ER) and progesterone receptor (PR) in the primary tumor tissue. Over the past 25 yr that physicians have been using ER determination to guide tamoxifen use, numerous studies have demonstrated that this molecular marker is useful in predicting benefit from tamoxifen. ER has been analyzed for many years using ligand-binding assays. However, current practice involves the use of immunohistochemical-based assays to detect ERalpha Immunohistochemistry (IHC) has several advantages. For example, IHC evaluates tumor cell heterogeneity, can be used to study small samples, is less expensive, and allows direct correlation with multiple histopathological tumor features and other molecular markers. PR, an estrogen-responsive protein, can also be useful in predicting response to tamoxifen in specific clinical situations. In recent years, several other markers of tamoxifen response have been examined, including: pS2 (another estrogen-regulated protein), heat-shock proteins 27 and 70, bcl-2 protein, c-erbB-2 (HER-2/neu) oncoprotein, and mutated p53 tumor suppressor protein. In this article, we present an analysis of the data on these new molecular markers. Overall, from numerous studies, the data indicate that in addition to ERalpha bcl-2 is a potential candidate to help further improve our ability to predict response to tamoxifen. ER and bcl-2 are the most useful molecular markers to better identify breast cancer patients who will respond to tamoxifen and who will have prolonged survival.

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Year:  2000        PMID: 11051041     DOI: 10.1385/ENDO:13:1:1

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.925


  89 in total

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Journal:  J Clin Oncol       Date:  1999-09       Impact factor: 44.544

2.  Tamoxifen down-regulates CD36 messenger RNA levels in normal and neoplastic human breast tissues.

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Journal:  Cancer Res       Date:  1997-02-01       Impact factor: 12.701

Review 3.  Immunocytochemical analysis of estrogen receptors in human breast carcinomas. Evaluation of 130 cases and review of the literature regarding concordance with biochemical assay and clinical relevance.

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Journal:  Lancet       Date:  1991-05-25       Impact factor: 79.321

5.  Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer.

Authors:  J M Harvey; G M Clark; C K Osborne; D C Allred
Journal:  J Clin Oncol       Date:  1999-05       Impact factor: 44.544

6.  Endocrine therapy for advanced carcinoma of the breast: relationship between the effect of tamoxifen upon concentrations of progesterone receptor and subsequent response to treatment.

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Journal:  Breast Cancer Res Treat       Date:  1993       Impact factor: 4.872

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Journal:  Cancer       Date:  1994-08-01       Impact factor: 6.860

9.  Expression of epidermal growth factor receptor and c-erbB2 during the development of tamoxifen resistance in human breast cancer.

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Journal:  Clin Cancer Res       Date:  1997-09       Impact factor: 12.531

10.  Expression of ras p21, p53 and c-erbB-2 in advanced breast cancer and response to first line hormonal therapy.

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Journal:  Br J Cancer       Date:  1995-11       Impact factor: 7.640

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2.  CXCL12, CXCR4 and IFNγ genes expression: implications for proinflammatory microenvironment of breast cancer.

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Journal:  Clin Exp Med       Date:  2012-06-15       Impact factor: 3.984

3.  Prognostic value of Bcl-2 in breast cancer patients treated with neoadjuvant anthracycline based chemotherapy.

Authors:  Laura M Vargas-Roig; F Darío Cuello-Carrión; Nicolás Fernández-Escobar; Pedro Daguerre; Marcela Leuzzi; Jorge Ibarra; Francisco E Gago; Silvina B Nadin; Daniel R Ciocca
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Journal:  Curr Genomics       Date:  2007-06       Impact factor: 2.236

5.  Methylation patterns in cell-free plasma DNA reflect removal of the primary tumor and drug treatment of breast cancer patients.

Authors:  Thomas E Liggett; Anatoliy A Melnikov; Jeffrey R Marks; Victor V Levenson
Journal:  Int J Cancer       Date:  2010-04-05       Impact factor: 7.396

6.  Whole tumor section quantitative image analysis maximizes between-pathologists' reproducibility for clinical immunohistochemistry-based biomarkers.

Authors:  Michael Barnes; Chukka Srinivas; Isaac Bai; Judith Frederick; Wendy Liu; Anindya Sarkar; Xiuzhong Wang; Yao Nie; Bryce Portier; Monesh Kapadia; Olcay Sertel; Elizabeth Little; Bikash Sabata; Jim Ranger-Moore
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7.  p53 expression status is a significant molecular marker in predicting the time to endocrine therapy failure in recurrent breast cancer: a cohort study.

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Journal:  Int J Clin Oncol       Date:  2006-12-25       Impact factor: 3.402

Review 8.  The oestrogen-dependent biology of breast cancer. Sensitivity and resistance to aromatase inhibitors revisited: a molecular perspective.

Authors:  A Urruticoechea
Journal:  Clin Transl Oncol       Date:  2007-12       Impact factor: 3.405

Review 9.  Functional proteomics of breast cancer for signal pathway profiling and target discovery.

Authors:  Hubert Hondermarck; Laurent Dollé; Ikram El Yazidi-Belkoura; Anne-Sophie Vercoutter-Edouart; Eric Adriaenssens; Jérôme Lemoine
Journal:  J Mammary Gland Biol Neoplasia       Date:  2002-10       Impact factor: 2.673

10.  HER2 status in molecular apocrine breast cancer: associations with clinical, pathological, and molecular features.

Authors:  Wenwen Guo; Wei Wang; Yun Zhu; Xiaojing Zhu; Zhongyuan Shi; Yan Wang
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