Literature DB >> 21422418

Multifactorial approach to predicting resistance to anthracyclines.

Christine Desmedt1, Angelo Di Leo, Evandro de Azambuja, Denis Larsimont, Benjamin Haibe-Kains, Jean Selleslags, Suzette Delaloge, Caroline Duhem, Jean-Pierre Kains, Birgit Carly, Marie Maerevoet, Anita Vindevoghel, Ghislane Rouas, Françoise Lallemand, Virginie Durbecq, Fatima Cardoso, Roberto Salgado, Rodrigo Rovere, Gianluca Bontempi, Stefan Michiels, Marc Buyse, Jean-Marie Nogaret, Yuan Qi, Fraser Symmans, Lajos Pusztai, Véronique D'Hondt, Martine Piccart-Gebhart, Christos Sotiriou.   

Abstract

PURPOSE: Validated biomarkers predictive of response/resistance to anthracyclines in breast cancer are currently lacking. The neoadjuvant Trial of Principle (TOP) study, in which patients with estrogen receptor (ER) -negative tumors were treated with anthracycline (epirubicin) monotherapy, was specifically designed to evaluate the predictive value of topoisomerase II-α (TOP2A) and develop a gene expression signature to identify those patients who do not benefit from anthracyclines. PATIENTS AND METHODS: The TOP trial included 149 patients, 139 of whom were evaluable for response prediction analyses. The primary end point was pathologic complete response (pCR). TOP2A and gene expression profiles were evaluated using pre-epirubicin biopsies. Gene expression data from ER-negative samples of the EORTC (European Organisation for Research and Treatment of Cancer) 10994/BIG (Breast International Group) 00-01 and MDACC (MD Anderson Cancer Center) 2003-0321 neoadjuvant trials were used for validation purposes.
RESULTS: A pCR was obtained in 14% of the evaluable patients in the TOP trial. TOP2A amplification, but not protein overexpression, was significantly associated with pCR (P ≤ .001 v P ≤ .33). We developed an anthracycline-based score (A-Score) combining three signatures: a TOP2A gene signature and two previously published signatures related to tumor invasion and immune response. The A-Score was characterized by a high negative predictive value ([NPV]; NPV, 0.98; 95% CI, 0.90 to 1.00) overall and in the human epidermal growth factor receptor 2 (HER2) -negative and HER2-positive subpopulations. Its performance was independently confirmed in the anthracycline-based arms of the two validation trials (BIG 00-01: NPV, 0.83; 95% CI, 0.64 to 0.94 and MDACC 2003-0321: NPV, 1.00; 95% CI, 0.80 to 1.00).
CONCLUSION: Given its high NPV, the A-Score could become, if further validated, a useful clinical tool to identify those patients who do not benefit from anthracyclines and could therefore be spared the non-negligible adverse effects.

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Year:  2011        PMID: 21422418     DOI: 10.1200/JCO.2010.31.2231

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  78 in total

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2.  Circulating tumor cells: highlight on practical implications.

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3.  DNA methylation-based immune response signature improves patient diagnosis in multiple cancers.

Authors:  Jana Jeschke; Martin Bizet; Christine Desmedt; Emilie Calonne; Sarah Dedeurwaerder; Soizic Garaud; Alexander Koch; Denis Larsimont; Roberto Salgado; Gert Van den Eynden; Karen Willard Gallo; Gianluca Bontempi; Matthieu Defrance; Christos Sotiriou; François Fuks
Journal:  J Clin Invest       Date:  2017-07-17       Impact factor: 14.808

4.  Potential utility of an expression array signature for predicting anthracycline responsiveness or resistance.

Authors:  Michael F Press; Michael A Gordon; Dennis J Slamon
Journal:  J Clin Oncol       Date:  2011-12-27       Impact factor: 44.544

5.  The therapeutic response of ER+/HER2- breast cancers differs according to the molecular Basal or Luminal subtype.

Authors:  François Bertucci; Pascal Finetti; Anthony Goncalves; Daniel Birnbaum
Journal:  NPJ Breast Cancer       Date:  2020-03-06

6.  Gene signatures in breast cancer: current and future uses.

Authors:  Enrique Espinosa Arranz; Juan Ángel Fresno Vara; Angelo Gámez-Pozo; Pilar Zamora
Journal:  Transl Oncol       Date:  2012-12-01       Impact factor: 4.243

Review 7.  Topoisomerase 2 alpha: a real predictor of anthracycline efficacy?

Authors:  Atocha Romero; Trinidad Caldés; Eduardo Díaz-Rubio; Miguel Martín
Journal:  Clin Transl Oncol       Date:  2012-03       Impact factor: 3.405

8.  Breast Cancer Biomarkers: Utility in Clinical Practice.

Authors:  Fanny Le Du; Naoto T Ueno; Ana M Gonzalez-Angulo
Journal:  Curr Breast Cancer Rep       Date:  2013-12

9.  TOP2A is overexpressed and is a therapeutic target for adrenocortical carcinoma.

Authors:  Meenu Jain; Lisa Zhang; Mei He; Ya-Qin Zhang; Min Shen; Electron Kebebew
Journal:  Endocr Relat Cancer       Date:  2013-05-21       Impact factor: 5.678

10.  TP53 mutation-correlated genes predict the risk of tumor relapse and identify MPS1 as a potential therapeutic kinase in TP53-mutated breast cancers.

Authors:  Balázs Győrffy; Giulia Bottai; Jacqueline Lehmann-Che; György Kéri; László Orfi; Takayuki Iwamoto; Christine Desmedt; Giampaolo Bianchini; Nicholas C Turner; Hugues de Thè; Fabrice André; Christos Sotiriou; Gabriel N Hortobagyi; Angelo Di Leo; Lajos Pusztai; Libero Santarpia
Journal:  Mol Oncol       Date:  2014-01-05       Impact factor: 6.603

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