Literature DB >> 17515403

Breast cancer molecular subclassification and estrogen receptor expression to predict efficacy of adjuvant anthracyclines-based chemotherapy: a biomarker study from two randomized trials.

R Conforti1, T Boulet, G Tomasic, E Taranchon, R Arriagada, M Spielmann, M Ducourtieux, J C Soria, T Tursz, S Delaloge, S Michiels, F Andre.   

Abstract

BACKGROUND: The purpose of this study was to determine the predictive value of breast cancer molecular subclassification regarding the benefit of adjuvant anthracycline-based chemotherapy. PATIENTS AND METHODS: Tumor samples from 823 patients included in two randomized trials that compared an anthracycline-based chemotherapy with no treatment were used to construct a tissue array. Estrogen receptor (ER), Her2, epidermal growth factor receptor, cytokeratine 5/6 expressions were determined by immunohistochemistry (IHC). The potential predictive factors of treatment effect on disease-free survival (DFS) were assessed by interaction tests and multivariate analysis.
RESULTS: Sixty-four (8%), 98 (12%), 109 (14%) and 527 (66%) patients presented a Her2+/ER-, basal-like, Her2-/ER-/nonbasal and luminal-like breast cancer. ER expression, when assessed by IHC, was an independent predictive factor for the benefit of chemotherapy on DFS (test for interaction, P = 0.0015). The molecular subclassification significantly predicted the efficacy of chemotherapy (test for interaction, P = 0.01), but had no significant added value (P = 0.32) as compared to the ER by treatment interaction. Adjuvant chemotherapy was associated with an adjusted hazard ratio for relapse or death of 0.42 [95% confidence interval (CI): 0.17-1.05], 0.54 (95% CI: 0.27-1.08), 0.35 (95% CI: 0.18-0.68), 1.07 (95% CI: 0.81-1.41) for patients with Her2+/ER-, basal-like, Her2-/ER-/nonbasal and luminal-like tumors, respectively.
CONCLUSION: The breast cancer molecular subclassification was predictive for chemotherapy efficacy in adjuvant setting, but did not provide significant additional information to ER.

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Year:  2007        PMID: 17515403     DOI: 10.1093/annonc/mdm209

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  22 in total

1.  Differential efficacy of three cycles of CMF followed by tamoxifen in patients with ER-positive and ER-negative tumors: long-term follow up on IBCSG Trial IX.

Authors:  S Aebi; Z Sun; D Braun; K N Price; M Castiglione-Gertsch; M Rabaglio; R D Gelber; D Crivellari; J Lindtner; R Snyder; P Karlsson; E Simoncini; B A Gusterson; G Viale; M M Regan; A S Coates; A Goldhirsch
Journal:  Ann Oncol       Date:  2011-01-31       Impact factor: 32.976

2.  Prognostic and predictive value of tumor-infiltrating lymphocytes in two phase III randomized adjuvant breast cancer trials.

Authors:  M V Dieci; M C Mathieu; V Guarneri; P Conte; S Delaloge; F Andre; A Goubar
Journal:  Ann Oncol       Date:  2015-05-20       Impact factor: 32.976

3.  A three-gene model to robustly identify breast cancer molecular subtypes.

Authors:  Benjamin Haibe-Kains; Christine Desmedt; Sherene Loi; Aedin C Culhane; Gianluca Bontempi; John Quackenbush; Christos Sotiriou
Journal:  J Natl Cancer Inst       Date:  2012-01-18       Impact factor: 13.506

4.  Multiple testing of treatment-effect-modifying biomarkers in a randomized clinical trial with a survival endpoint.

Authors:  Stefan Michiels; Richard F Potthoff; Stephen L George
Journal:  Stat Med       Date:  2011-02-23       Impact factor: 2.373

5.  Molecular classification predicts survival for breast cancer patients in Vietnam: a single institutional retrospective analysis.

Authors:  Chu Van Nguyen; Quang Tien Nguyen; Ha Thi Ngoc Vu; Khoa Hong Pham; Huyen Thi Phung
Journal:  Int J Clin Exp Pathol       Date:  2021-03-01

Review 6.  Therapeutic usefulness of postoperative adjuvant chemotherapy with Tegafur-Uracil (UFT) in patients with breast cancer: focus on the results of clinical studies in Japan.

Authors:  Takahiro Nakayama; Shinzaburo Noguchi
Journal:  Oncologist       Date:  2010-01-15

7.  Triple-negative, basal-like, and quintuple-negative breast cancers: better prediction model for survival.

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Journal:  BMC Cancer       Date:  2010-09-23       Impact factor: 4.430

8.  A fuzzy gene expression-based computational approach improves breast cancer prognostication.

Authors:  Benjamin Haibe-Kains; Christine Desmedt; Françoise Rothé; Martine Piccart; Christos Sotiriou; Gianluca Bontempi
Journal:  Genome Biol       Date:  2010-02-15       Impact factor: 13.583

9.  A mechanistic study of the effect of doxorubicin/adriamycin on the estrogen response in a breast cancer model.

Authors:  Jessica E Pritchard; Patrick M Dillon; Mark R Conaway; Corinne M Silva; Sarah J Parsons
Journal:  Oncology       Date:  2012-09-05       Impact factor: 2.935

10.  Molecular-based tumour subtypes of canine mammary carcinomas assessed by immunohistochemistry.

Authors:  Francesco Sassi; Cinzia Benazzi; Gastone Castellani; Giuseppe Sarli
Journal:  BMC Vet Res       Date:  2010-01-28       Impact factor: 2.741

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