Literature DB >> 20005174

Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial.

Kathy S Albain1, William E Barlow, Steven Shak, Gabriel N Hortobagyi, Robert B Livingston, I-Tien Yeh, Peter Ravdin, Roberto Bugarini, Frederick L Baehner, Nancy E Davidson, George W Sledge, Eric P Winer, Clifford Hudis, James N Ingle, Edith A Perez, Kathleen I Pritchard, Lois Shepherd, Julie R Gralow, Carl Yoshizawa, D Craig Allred, C Kent Osborne, Daniel F Hayes.   

Abstract

BACKGROUND: The 21-gene recurrence score assay is prognostic for women with node-negative, oestrogen-receptor-positive breast cancer treated with tamoxifen. A low recurrence score predicts little benefit of chemotherapy. For node-positive breast cancer, we investigated whether the recurrence score was prognostic in women treated with tamoxifen alone and whether it identified those who might not benefit from anthracycline-based chemotherapy, despite higher risks of recurrence.
METHODS: The phase 3 trial SWOG-8814 for postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer showed that chemotherapy with cyclophosphamide, doxorubicin, and fluorouracil (CAF) before tamoxifen (CAF-T) added survival benefit to treatment with tamoxifen alone. Optional tumour banking yielded specimens for determination of recurrence score by RT-PCR. In this retrospective analysis, we assessed the effect of recurrence score on disease-free survival by treatment group (tamoxifen vs CAF-T) using Cox regression, adjusting for number of positive nodes.
FINDINGS: There were 367 specimens (40% of the 927 patients in the tamoxifen and CAF-T groups) with sufficient RNA for analysis (tamoxifen, n=148; CAF-T, n=219). The recurrence score was prognostic in the tamoxifen-alone group (p=0.006; hazard ratio [HR] 2.64, 95% CI 1.33-5.27, for a 50-point difference in recurrence score). There was no benefit of CAF in patients with a low recurrence score (score <18; log-rank p=0.97; HR 1.02, 0.54-1.93), but an improvement in disease-free survival for those with a high recurrence score (score > or =31; log-rank p=0.033; HR 0.59, 0.35-1.01), after adjustment for number of positive nodes. The recurrence score by treatment interaction was significant in the first 5 years (p=0.029), with no additional prediction beyond 5 years (p=0.58), although the cumulative benefit remained at 10 years. Results were similar for overall survival and breast-cancer-specific survival.
INTERPRETATION: The recurrence score is prognostic for tamoxifen-treated patients with positive nodes and predicts significant benefit of CAF in tumours with a high recurrence score. A low recurrence score identifies women who might not benefit from anthracycline-based chemotherapy, despite positive nodes. FUNDING: National Cancer Institute and Genomic Health. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 20005174      PMCID: PMC3058239          DOI: 10.1016/S1470-2045(09)70314-6

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  28 in total

1.  Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects.

Authors:  Patrick Royston; Mahesh K B Parmar
Journal:  Stat Med       Date:  2002-08-15       Impact factor: 2.373

2.  The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1-3 positive lymph nodes in an independent validation study.

Authors:  Stella Mook; Marjanka K Schmidt; Giuseppe Viale; Giancarlo Pruneri; Inge Eekhout; Arno Floore; Annuska M Glas; Jan Bogaerts; Fatima Cardoso; Martine J Piccart-Gebhart; Emiel T Rutgers; Laura J Van't Veer
Journal:  Breast Cancer Res Treat       Date:  2008-07-27       Impact factor: 4.872

3.  Estrogen-receptor status and outcomes of modern chemotherapy for patients with node-positive breast cancer.

Authors:  Donald A Berry; Constance Cirrincione; I Craig Henderson; Marc L Citron; Daniel R Budman; Lori J Goldstein; Silvana Martino; Edith A Perez; Hyman B Muss; Larry Norton; Clifford Hudis; Eric P Winer
Journal:  JAMA       Date:  2006-04-12       Impact factor: 56.272

4.  Endocrine responsiveness and tailoring adjuvant therapy for postmenopausal lymph node-negative breast cancer: a randomized trial.

Authors: 
Journal:  J Natl Cancer Inst       Date:  2002-07-17       Impact factor: 13.506

5.  Treatment of lymph-node-negative, oestrogen-receptor-positive breast cancer: long-term findings from National Surgical Adjuvant Breast and Bowel Project randomised clinical trials.

Authors:  Bernard Fisher; Jong-Hyeon Jeong; John Bryant; Stewart Anderson; James Dignam; Edwin R Fisher; Norman Wolmark
Journal:  Lancet       Date:  2004 Sep 4-10       Impact factor: 79.321

6.  Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection.

Authors:  Shelly S Lo; Patricia B Mumby; John Norton; Karen Rychlik; Jeffrey Smerage; Joseph Kash; Helen K Chew; Ellen R Gaynor; Daniel F Hayes; Andrew Epstein; Kathy S Albain
Journal:  J Clin Oncol       Date:  2010-01-11       Impact factor: 44.544

Review 7.  Prediction of adjuvant chemotherapy benefit in endocrine responsive, early breast cancer using multigene assays.

Authors:  Kathy S Albain; Soonmyung Paik; Laura van't Veer
Journal:  Breast       Date:  2009-10       Impact factor: 4.380

8.  A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients.

Authors:  Laurel A Habel; Steven Shak; Marlena K Jacobs; Angela Capra; Claire Alexander; Mylan Pho; Joffre Baker; Michael Walker; Drew Watson; James Hackett; Noelle T Blick; Deborah Greenberg; Louis Fehrenbacher; Bryan Langholz; Charles P Quesenberry
Journal:  Breast Cancer Res       Date:  2006-05-31       Impact factor: 6.466

9.  Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009.

Authors:  A Goldhirsch; J N Ingle; R D Gelber; A S Coates; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2009-06-17       Impact factor: 32.976

10.  REporting recommendations for tumour MARKer prognostic studies (REMARK).

Authors:  L M McShane; D G Altman; W Sauerbrei; S E Taube; M Gion; G M Clark
Journal:  Br J Cancer       Date:  2005-08-22       Impact factor: 7.640

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  474 in total

Review 1.  Practical implications of gene-expression-based assays for breast oncologists.

Authors:  Aleix Prat; Matthew J Ellis; Charles M Perou
Journal:  Nat Rev Clin Oncol       Date:  2011-12-06       Impact factor: 66.675

Review 2.  Breast cancer in 2010: Novel targets and therapies for a personalized approach.

Authors:  Michaela J Higgins; José Baselga
Journal:  Nat Rev Clin Oncol       Date:  2011-02       Impact factor: 66.675

Review 3.  Breast cancer assessment tools and optimizing adjuvant therapy.

Authors:  Catherine Oakman; Libero Santarpia; Angelo Di Leo
Journal:  Nat Rev Clin Oncol       Date:  2010-10-26       Impact factor: 66.675

4.  Impact of multigene assays in early stage breast cancer.

Authors:  Shelly S Lo; Kathy S Albain
Journal:  Oncologist       Date:  2011-10-20

Review 5.  Hormonal therapy in breast cancer: a model disease for the personalization of cancer care.

Authors:  Shannon Puhalla; Saveri Bhattacharya; Nancy E Davidson
Journal:  Mol Oncol       Date:  2012-02-24       Impact factor: 6.603

Review 6.  Gene-expression-based prognostic assays for breast cancer.

Authors:  Chungyeul Kim; Soonmyung Paik
Journal:  Nat Rev Clin Oncol       Date:  2010-05-04       Impact factor: 66.675

Review 7.  Molecular basis for therapy resistance.

Authors:  Per E Lønning
Journal:  Mol Oncol       Date:  2010-04-24       Impact factor: 6.603

8.  Cost effectiveness of a 21-gene recurrence score assay versus Canadian clinical practice in post-menopausal women with early-stage estrogen or progesterone-receptor-positive, axillary lymph-node positive breast cancer.

Authors:  Malek B Hannouf; Bin Xie; Muriel Brackstone; Gregory S Zaric
Journal:  Pharmacoeconomics       Date:  2014-02       Impact factor: 4.981

9.  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

10.  Impact of adjuvant chemotherapy on long-term employment of survivors of early-stage breast cancer.

Authors:  Reshma Jagsi; Sarah T Hawley; Paul Abrahamse; Yun Li; Nancy K Janz; Jennifer J Griggs; Cathy Bradley; John J Graff; Ann Hamilton; Steven J Katz
Journal:  Cancer       Date:  2014-04-28       Impact factor: 6.860

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