Literature DB >> 21598238

Hormone-receptor expression and activity of trastuzumab with chemotherapy in HER2-positive advanced breast cancer patients.

Filippo Montemurro1, Valentina Rossi, Maria Cossu Rocca, Rossella Martinello, Elena Verri, Stefania Redana, Laura Adamoli, Giorgio Valabrega, Anna Sapino, Massimo Aglietta, Giuseppe Viale, Aron Goldhirsch, Franco Nolè.   

Abstract

BACKGROUND: The relationship between quantitative immunohistochemical hormone receptor expression and response to the combination of trastuzumab with chemotherapy in HER2-positive advanced breast cancer is currently unknown.
METHODS: Estrogen receptor (ER) and progesterone receptor expression was studied both as a dichotomous variable (positivity set at ≥ 1% of positive cells) and as a continuous variable. The effect of hormone receptor expression on overall response rate and progression-free survival in patients receiving trastuzumab-based treatment was studied by univariate and multivariate analysis.
RESULTS: One hundred eleven of 227 consecutive advanced breast cancer patients treated at 2 Institutions had hormone receptor-positive tumors (49%). High expression of ER (≥ 30% of tumor cells) predicted reduced probability of tumor response to trastuzumab plus chemotherapy (multivariate odds ratio, 0.422; 95% confidence interval [CI], 0.222-0.803; P = .009). In patients with hormone receptor-positive tumors (≥ 1% of tumor cells), maintenance endocrine therapy added to trastuzumab upon the completion of chemotherapy was associated with a significant progression-free survival benefit (hazard ratio, 0.521; 95% CI, 0.3325-0.836; P = .007).
CONCLUSIONS: Our results suggest a predictive role of hormone receptor expression in HER2-positive tumors. Further investigation in this patient subset is warranted to optimize the use of HER2-targeting agents, chemotherapy, and endocrine therapy.
Copyright © 2011 American Cancer Society.

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Year:  2011        PMID: 21598238     DOI: 10.1002/cncr.26162

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  19 in total

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Journal:  Cancer       Date:  2012-04-17       Impact factor: 6.860

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Authors:  Ummugul Uyeturk; Burcin Budakoglu; Ibrahim Turker; Kaan Helvaci; Ozlem Uysal Sonmez; Gulali Aktas; Ulku Yalcintas Arslan; Omur Berna Cakmak Oksuzoglu
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10.  Subtype classification for prediction of prognosis of breast cancer from a biomarker panel: correlations and indications.

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