Literature DB >> 21807638

A new molecular predictor of distant recurrence in ER-positive, HER2-negative breast cancer adds independent information to conventional clinical risk factors.

Martin Filipits1, Margaretha Rudas, Raimund Jakesz, Peter Dubsky, Florian Fitzal, Christian F Singer, Otto Dietze, Richard Greil, Andrea Jelen, Paul Sevelda, Christa Freibauer, Volkmar Müller, Fritz Jänicke, Marcus Schmidt, Heinz Kölbl, Achim Rody, Manfred Kaufmann, Werner Schroth, Hiltrud Brauch, Matthias Schwab, Peter Fritz, Karsten E Weber, Inke S Feder, Guido Hennig, Ralf Kronenwett, Mathias Gehrmann, Michael Gnant.   

Abstract

PURPOSE: According to current guidelines, molecular tests predicting the outcome of breast cancer patients can be used to assist in making treatment decisions after consideration of conventional markers. We developed and validated a gene expression signature predicting the likelihood of distant recurrence in patients with estrogen receptor (ER)-positive, HER2-negative breast cancer treated with adjuvant endocrine therapy. EXPERIMENTAL
DESIGN: RNA levels assessed by quantitative reverse transcriptase PCR in formalin-fixed, paraffin-embedded tumor tissue were used to calculate a risk score (Endopredict, EP) consisting of eight cancer-related and three reference genes. EP was combined with nodal status and tumor size into a comprehensive risk score, EPclin. Both prespecified risk scores including cutoff values to determine a risk group for each patient (low and high) were validated independently in patients from two large randomized phase III trials [Austrian Breast and Colorectal Cancer Study Group (ABCSG)-6: n = 378, ABCSG-8: n = 1,324].
RESULTS: In both validation cohorts, continuous EP was an independent predictor of distant recurrence in multivariate analysis (ABCSG-6: P = 0.010, ABCSG-8: P < 0.001). Combining Adjuvant!Online, quantitative ER, Ki67, and treatment with EP yielded a prognostic power significantly superior to the clinicopathologic factors alone [c-indices: 0.764 vs. 0.750, P = 0.024 (ABCSG-6) and 0.726 vs. 0.701, P = 0.003 (ABCSG-8)]. EPclin had c-indices of 0.788 and 0.732 and resulted in 10-year distant recurrence rates of 4% and 4% in EPclin low-risk and 28% and 22% in EPclin high-risk patients in ABCSG-6 (P < 0.001) and ABCSG-8 (P < 0.001), respectively.
CONCLUSIONS: The multigene EP risk score provided additional prognostic information to the risk of distant recurrence of breast cancer patients, independent from clinicopathologic parameters. The EPclin score outperformed all conventional clinicopathologic risk factors. ©2011 AACR.

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Year:  2011        PMID: 21807638     DOI: 10.1158/1078-0432.CCR-11-0926

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  223 in total

1.  [Determination of prognosis using gene expression analyses: Consequences for the indication for radiotherapy?].

Authors:  René Baumann; David Krug
Journal:  Strahlenther Onkol       Date:  2016-02       Impact factor: 3.621

Review 2.  [Molecular pathology for breast cancer: Importance of the gene expression profile].

Authors:  C Denkert; B M Pfitzner; B I Heppner; M Dietel
Journal:  Pathologe       Date:  2015-03       Impact factor: 1.011

Review 3.  [Gene expression analysis in breast cancer. A new diagnostic tool in pathology].

Authors:  C Denkert
Journal:  Pathologe       Date:  2013-09       Impact factor: 1.011

4.  Clinical utility of multigene profiling assays in early-stage breast cancer.

Authors:  M C Chang; L H Souter; S Kamel-Reid; M Rutherford; P Bedard; M Trudeau; J Hart; A Eisen
Journal:  Curr Oncol       Date:  2017-10-25       Impact factor: 3.677

Review 5.  Gene Expression Profiling in Breast Cancer and Its Effect on Therapy Selection in Early-Stage Breast Cancer.

Authors:  E Nilüfer Güler
Journal:  Eur J Breast Health       Date:  2017-10-01

6.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

Review 7.  Clinical utility of gene-expression signatures in early stage breast cancer.

Authors:  Maryann Kwa; Andreas Makris; Francisco J Esteva
Journal:  Nat Rev Clin Oncol       Date:  2017-05-31       Impact factor: 66.675

8.  Emerging gene-based prognostic tools in early breast cancer: First steps to personalised medicine.

Authors:  Umar Wazir; Kefah Mokbel
Journal:  World J Clin Oncol       Date:  2014-12-10

Review 9.  Genomic profiling in luminal breast cancer.

Authors:  Oleg Gluz; Daniel Hofmann; Rachel Würstlein; Cornelia Liedtke; Ulrike Nitz; Nadia Harbeck
Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

Review 10.  [Translational research and diagnostics for breast cancer].

Authors:  H H Kreipe
Journal:  Pathologe       Date:  2012-11       Impact factor: 1.011

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