Literature DB >> 11694791

The predictive value of HER2 in breast cancer.

M Piccart1, C Lohrisch, A Di Leo, D Larsimont.   

Abstract

Measurement of molecular markers predictive of response to therapy should enable more selective and effective utilization of anticancer agents. The predictive value of HER2 remains a complex and inconclusive subject. In metastatic breast cancer, HER2-positive, ER-positive patients can show responses to endocrine treatment, but experience shorter time to progression and survival than HER2-negative patients. In the adjuvant setting, weak, retrospective evidence suggests that tamoxifen is potentially harmful in HER2-positive patients and that there is no benefit from prolonged tamoxifen therapy. It has not yet been demonstrated conclusively that HER2 positivity increases resistance to adjuvant cyclophosphamide, methotrexate, 5-FU (CMF), but there are indications that HER2-positive patients benefit more from adequately dosed anthracyclines than from CMF. The greatest value of HER2 as a predictive marker lies in the prediction of response to therapies that target HER2, such as Herceptin. Patients with strongly HER2-positive breast cancer derive significant clinical benefit from single-agent and combined Herceptin therapy. HER2 testing has become an integral part of the optimal management of the breast cancer patient. Best current practice in adjuvant breast cancer therapy based on the current knowledge of the potential predictive power of HER2 constitutes not denying tamoxifen to HER2-positive, ER-positive patients or CMF to HER2-positive patients. Outside of clinical trials, adequately dosed anthracycline-based chemotherapy is the current preferred adjuvant treatment option for HER2-positive patients. Copyright 2001 S. Karger AG, Basel

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Year:  2001        PMID: 11694791     DOI: 10.1159/000055405

Source DB:  PubMed          Journal:  Oncology        ISSN: 0030-2414            Impact factor:   2.935


  29 in total

1.  Analysis of HER2 gene amplification using an automated fluorescence in situ hybridization signal enumeration system.

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Journal:  J Mol Diagn       Date:  2007-04       Impact factor: 5.568

Review 2.  Signal transduction in transgenic mouse models of human breast cancer--implications for human breast cancer.

Authors:  Richard Marcotte; William J Muller
Journal:  J Mammary Gland Biol Neoplasia       Date:  2008-07-24       Impact factor: 2.673

3.  Incorporating Tumor Characteristics to the American Joint Committee on Cancer Breast Cancer Staging System.

Authors:  Mariana Chavez-MacGregor; Elizabeth A Mittendorf; Christina A Clarke; Daphne Y Lichtensztajn; Kelly K Hunt; Sharon H Giordano
Journal:  Oncologist       Date:  2017-06-07

4.  Trastuzumab and liposomal Doxorubicin in the treatment of mcf-7 xenograft tumor-bearing mice: combination does not affect drug serum levels.

Authors:  Dawn N Waterhouse; Tetyana Denyssevych; Norma Hudon; Stephen Chia; Karen A Gelmon; Marcel B Bally
Journal:  Pharm Res       Date:  2005-06-08       Impact factor: 4.200

Review 5.  Anti-Yo antibody-mediated paraneoplastic cerebellar degeneration associated with cognitive affective syndrome in a patient with breast cancer: a case report and literature review.

Authors:  M Le May; S Dent
Journal:  Curr Oncol       Date:  2018-12-01       Impact factor: 3.677

6.  Her-2/neu expression as a predictive factor for response to anthracycline-based chemotherapy in a mexican population of locally advanced breast cancer patients.

Authors:  David Muñoz-Gonzalez; Isabel Zeichner-Gancz; Myrna Candelaria; Maria Teresa Ramirez-Ugalde; Manuel Perez-Sanchez; Guadalupe Cervantes-Vazquez; David Cantu-de Leon; Arcelia Mora-Tizcareño; Julio Leonor-Ortíz
Journal:  Med Oncol       Date:  2005       Impact factor: 3.064

7.  Analytical Validation of a Highly Quantitative, Sensitive, Accurate, and Reproducible Assay (HERmark) for the Measurement of HER2 Total Protein and HER2 Homodimers in FFPE Breast Cancer Tumor Specimens.

Authors:  Jeffrey S Larson; Laurie J Goodman; Yuping Tan; Lisa Defazio-Eli; Agnes C Paquet; Jennifer W Cook; Amber Rivera; Kristi Frankson; Jolly Bose; Lili Chen; Judy Cheung; Yining Shi; Sarah Irwin; Linda D B Kiss; Weidong Huang; Shannon Utter; Thomas Sherwood; Michael Bates; Jodi Weidler; Gordon Parry; John Winslow; Christos J Petropoulos; Jeannette M Whitcomb
Journal:  Patholog Res Int       Date:  2010-06-28

8.  Genetic screening reveals an essential role of p27kip1 in restriction of breast cancer progression.

Authors:  Yuhui Yuan; Li Qin; Dan Liu; Ray-Chang Wu; Paola Mussi; Suoling Zhou; Zhou Songyang; Jianming Xu
Journal:  Cancer Res       Date:  2007-09-01       Impact factor: 12.701

Review 9.  Endocrine resistance in breast cancer--An overview and update.

Authors:  Robert Clarke; John J Tyson; J Michael Dixon
Journal:  Mol Cell Endocrinol       Date:  2015-10-09       Impact factor: 4.102

10.  Applications of machine learning in cancer prediction and prognosis.

Authors:  Joseph A Cruz; David S Wishart
Journal:  Cancer Inform       Date:  2007-02-11
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