Impact of 70-Gene Signature Use on Adjuvant Chemotherapy Decisions in Patients With Estrogen Receptor-Positive Early Breast Cancer: Results of a Prospective Cohort Study

被引:26
作者
Kuijer, Anne [1 ,2 ]
Straver, Marieke [1 ]
den Dekker, Bianca [1 ]
van Bommel, Annelotte C. M. [1 ]
Elias, Sjoerd G. [2 ]
Smorenburg, Carolien H. [4 ,5 ]
Wesseling, Jelle [4 ,5 ]
Linn, Sabine C. [2 ,5 ]
Rutgers, Emiel J. Th. [5 ]
Siesling, Sabine [3 ,6 ]
van Dalen, Thijs [1 ,2 ]
机构
[1] Diakonessen Hosp, Utrecht, Netherlands
[2] Univ Med Ctr Utrecht, Utrecht, Netherlands
[3] Netherlands Comprehens Canc Org, Utrecht, Netherlands
[4] Antoni van Leeuwenhoek Hosp, Amsterdam, Netherlands
[5] Netherlands Canc Inst, Amsterdam, Netherlands
[6] Univ Twente, Enschede, Netherlands
关键词
GENE-EXPRESSION SIGNATURE; PROGNOSIS-SIGNATURE; SYSTEMIC TREATMENT; PROSIGNA ASSAY; VALIDATION;
D O I
10.1200/JCO.2016.70.3959
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose Gene-expression profiles increasingly are used in addition to conventional prognostic factors to guide adjuvant chemotherapy (CT) decisions. The Dutch guideline suggests use of validated gene-expression profiles in patients with estrogen receptor (ER) -positive, early-stage breast cancer without overt lymph node metastases. We aimed to assess the impact of a 70-gene signature (70-GS) test on CT decisions in patients with ER-positive, early-stage breast cancer. Patients and Methods In a prospective, observational, multicenter study in patients younger than 70 years old who had undergone surgery for ER-positive, early-stage breast cancer, physicians were asked whether they intended to administer adjuvant CT before deployment of the 70-GS test and after the test result was available. Results Between October 1, 2013, and December 31, 2015, 660 patients, treated in 33 hospitals, were enrolled. Fifty-one percent of patients had pT1cN0, BRII, HER2-Neu-negative breast cancer. On the basis of conventional clinicopathological characteristics, physicians recommended CT in 270 (41%) of the 660 patients and recommended withholding CT in 107 (16%) of the 660 patients. For the remaining 43% of patients, the physicians were unsure and unable to give advice before 70-GS testing. In patients for whom CT was initially recommended or not recommended, 56% and 59%, respectively, were assigned to a low-risk profile by the 70-GS (kappa, 0.02; 95% CI, -0.08 to 0.11). After disclosure of the 70-GS test result, the preliminary advice was changed in 51% of patients who received a recommendation before testing; the definitive CT recommendation of the physician was in line with the 70-GS result in 96% of patients. Conclusion In this prospective, multicenter study in a selection of patients with ER-positive, early-stage breast cancer, 70-GS use changed the physician-intended recommendation to administer CT in half of the patients. (C) 2017 by American Society of Clinical Oncology
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收藏
页码:2814 / +
页数:8
相关论文
共 27 条
  • [1] Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER)
    不详
    [J]. LANCET ONCOLOGY, 2007, 8 (12) : 1079 - 1087
  • [2] [Anonymous], 2012, RICHTLIJN MAMMACARCI, P81
  • [3] Validation of 70-gene prognosis signature in node-negative breast cancer
    Bueno-de-Mesquita, J. M.
    Linn, S. C.
    Keijzer, R.
    Wesseling, J.
    Nuyten, D. S. A.
    van Krimpen, C.
    Meijers, C.
    de Graaf, P. W.
    Bos, M. M. E. M.
    Hart, A. A. M.
    Rutgers, E. J. T.
    Peterse, J. L.
    Halfwerk, H.
    de Groot, R.
    Pronk, A.
    Floore, A. N.
    Glas, A. M.
    van't Veer, L. J.
    van de Vijver, M. J.
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2009, 117 (03) : 483 - 495
  • [4] Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer
    Buyse, Marc
    Loi, Sherene
    van't Veer, Laura
    Viale, Giuseppe
    Delorenzi, Mauro
    Glas, Annuska M.
    d'Assignies, Mahasti Saghatchian
    Bergh, Jonas
    Lidereau, Rosette
    Ellis, Paul
    Harris, Adrian
    Bogaerts, Jan
    Therasse, Patrick
    Floore, Arno
    Amakrane, Mohamed
    Piette, Fanny
    Rutgers, Emiel
    Sotiriou, Christos
    Cardoso, Fatima
    Piccart, Martine J.
    [J]. JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2006, 98 (17): : 1183 - 1192
  • [5] 70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer
    Cardoso, F.
    van't Veer, L. J.
    Bogaerts, J.
    Slaets, L.
    Viale, G.
    Delaloge, S.
    Pierga, J. -Y.
    Brain, E.
    Causeret, S.
    DeLorenzi, M.
    Glas, A. M.
    Golfinopoulos, V.
    Goulioti, T.
    Knox, S.
    Matos, E.
    Meulemans, B.
    Neijenhuis, P. A.
    Nitz, U.
    Passalacqua, R.
    Ravdin, P.
    Rubio, I. T.
    Saghatchian, M.
    Smilde, T. J.
    Sotiriou, C.
    Stork, L.
    Straehle, C.
    Thomas, G.
    Thompson, A. M.
    van der Hoeven, J. M.
    Vuylsteke, P.
    Bernards, R.
    Tryfonidis, K.
    Rutgers, E.
    Piccart, M.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2016, 375 (08) : 717 - 729
  • [6] The impact of the Oncotype Dx breast cancer assay in clinical practice: a systematic review and meta-analysis
    Carlson, Josh J.
    Roth, Joshua A.
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2013, 141 (01) : 13 - 22
  • [7] European inter-institutional impact study of MammaPrint
    Cusumano, P. G.
    Generali, D.
    Ciruelos, E.
    Manso, L.
    Ghanem, I.
    Lifrange, E.
    Jerusalem, G.
    Klaase, J.
    de Snoo, F.
    Stork-Sloots, L.
    Dekker-Vroling, L.
    Holzik, M. Lutke
    [J]. BREAST, 2014, 23 (04) : 423 - 428
  • [8] Understanding how breast cancer patients use risk information from genomic tests
    DeFrank, Jessica T.
    Carey, Lisa A.
    Brewer, Noel T.
    [J]. JOURNAL OF BEHAVIORAL MEDICINE, 2013, 36 (06) : 567 - 573
  • [9] Optimized outcome prediction in breast cancer by combining the 70-gene signature with clinical risk prediction algorithms
    Drukker, C. A.
    Nijenhuis, M. V.
    Bueno-de-Mesquita, J. M.
    Retel, V. P.
    van Harten, W. H.
    van Tinteren, H.
    Wesseling, J.
    Schmidt, M. K.
    van't Veer, L. J.
    Sonke, G. S.
    Rutgers, E. J. T.
    van de Vijver, M. J.
    Linn, S. C.
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2014, 145 (03) : 697 - 705
  • [10] A prospective evaluation of a breast cancer prognosis signature in the observational RASTER study
    Drukker, C. A.
    Bueno-de-Mesquita, J. M.
    Retel, V. P.
    van Harten, W. H.
    van Tinteren, H.
    Wesseling, J.
    Roumen, R. M. H.
    Knauer, M.
    van 't Veer, L. J.
    Sonke, G. S.
    Rutgers, E. J. T.
    van de Vijver, M. J.
    Linn, S. C.
    [J]. INTERNATIONAL JOURNAL OF CANCER, 2013, 133 (04) : 929 - 936