Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer

被引:241
作者
Foekens, JA
Atkins, D
Zhang, Y
Sweep, FCGJ
Harbeck, N
Paradiso, A
Cufer, T
Sieuwerts, AM
Talantov, D
Span, PN
Tjan-Heijnen, VCG
Zito, AF
Specht, K
Hoefler, H
Golouh, R
Schittulli, F
Schmitt, M
Beex, LVAM
Klijn, IGM
Wang, YX
机构
[1] Erasmus MC, Josephine Nefkens Inst, Daniel den Hoed Canc Ctr, Dept Med Oncol, Rotterdam, Netherlands
[2] Radboud Univ Nijmegen Med Ctr, Dept Chem Endocrinol, Nijmegen, Netherlands
[3] Radboud Univ Nijmegen Med Ctr, Dept Med Oncol, Nijmegen, Netherlands
[4] Veridex LLC, San Diego, CA USA
[5] Tech Univ Munich, Frauenklin, D-8000 Munich, Germany
[6] Tech Univ Munich, Inst Allgemeine Pathol & Pathol Anat, D-8000 Munich, Germany
[7] Natl Canc Inst, Bari, Italy
[8] Inst Oncol, Ljubljana, Slovenia
关键词
D O I
10.1200/JCO.2005.03.9115
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose We previously identified in a single-center study a 76-gene prognostic signature for lymph node-negative (LNN) breast cancer patients. The aim of this study was to validate this gene signature in an independent more diverse population of LNN patients from multiple institutions. Patients and Methods Using custom-designed DNA chips we analyzed the expression of the 76 genes in RNA of frozen tumor samples from 180 LNN patients who did not receive adjuvant systemic treatment. Results In this independent validation, the 76-gene signature was highly informative in identifying patients with distant metastasis within 5 years (hazard ratio, [HR], 7.41; 95% Cl, 2.63 to 20.9), even when corrected for traditional prognostic factors in multivariate analysis (HR, 11.36; 95% Cl, 2.67 to 48.4). The actuarial 5- and 10-year distant metastasis-free survival were 96% (95% Cl, 89% to 99%) and 94% (95% Cl, 83% to 98%), respectively, for the good profile group and 74% (95% Cl, 64% to 81 %) and 65% (53% to 74%), respectively for the poor profile group. The sensitivity for 5-yr distant metastasis-free survival was 90%, and the specificity was 50%. The positive and negative predictive values were 38% (95% Cl, 29% to 47%) and 94% (95% Cl, 86% to 97%), respectively. The 76-gene signature was confirmed as a strong prognostic factor in subgroups of estrogen receptor-positive patients, pre- and postmenopausal patients, and patients with tumor sizes 20 mm or smaller. The subgroup of patients with estrogen receptor-negative tumors was considered too small to perform a separate analysis. Conclusion Our data provide a strong methodologic and clinical multicenter validation of the predefined prognostic 76-gene signature in LNN breast cancer patients.
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页码:1665 / 1671
页数:7
相关论文
共 20 条
  • [1] Identification of high risk breast-cancer patients by gene expression profiling
    Ahr, A
    Karn, T
    Solbach, C
    Seiter, T
    Strebhardt, K
    Holtrich, U
    Kaufmann, M
    [J]. LANCET, 2002, 359 (9301) : 131 - 132
  • [2] Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer
    Chang, JC
    Wooten, EC
    Tsimelzon, A
    Hilsenbeck, SG
    Gutierrez, MC
    Elledge, R
    Mohsin, S
    Osborne, CK
    Chamness, GC
    Allred, DC
    O'Connell, P
    [J]. LANCET, 2003, 362 (9381) : 362 - 369
  • [3] Eifel P, 2001, JNCI-J NATL CANCER I, V93, P979
  • [4] PATHOLOGICAL PROGNOSTIC FACTORS IN BREAST-CANCER .1. THE VALUE OF HISTOLOGICAL GRADE IN BREAST-CANCER - EXPERIENCE FROM A LARGE STUDY WITH LONG-TERM FOLLOW-UP
    ELSTON, CW
    ELLIS, IO
    [J]. HISTOPATHOLOGY, 1991, 19 (05) : 403 - 410
  • [5] THE NOTTINGHAM PROGNOSTIC INDEX IN PRIMARY BREAST-CANCER
    GALEA, MH
    BLAMEY, RW
    ELSTON, CE
    ELLIS, IO
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 1992, 22 (03) : 207 - 219
  • [6] Meeting highlights:: Updated international expert consensus on the primary therapy of early breast cancer
    Goldhirsch, A
    Wood, WC
    Gelber, RD
    Coates, AS
    Thürlimann, B
    Senn, HJ
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2003, 21 (17) : 3357 - 3365
  • [7] Gene expression predictors of breast cancer outcomes
    Huang, E
    Cheng, SH
    Dressman, H
    Pittman, J
    Tsou, MH
    Horng, CF
    Bild, A
    Iversen, ES
    Liao, M
    Chen, CM
    West, M
    Nevins, JR
    Huang, AT
    [J]. LANCET, 2003, 361 (9369) : 1590 - 1596
  • [8] Molecular classification of tamoxifen-resistant breast carcinomas by gene expression profiling
    Jansen, MPHM
    Foekens, JA
    van Staveren, IL
    Dirkzwager-Kiel, MM
    Ritstier, K
    Look, MP
    Meijer-van Gelder, ME
    Sieuwerts, AM
    Portengen, H
    Dorssers, LCJ
    Klijn, JGM
    Berns, EMJJ
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2005, 23 (04) : 732 - 740
  • [9] NONPARAMETRIC-ESTIMATION FROM INCOMPLETE OBSERVATIONS
    KAPLAN, EL
    MEIER, P
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1958, 53 (282) : 457 - 481
  • [10] High density synthetic oligonucleotide arrays
    Lipshutz, RJ
    Fodor, SPA
    Gingeras, TR
    Lockhart, DJ
    [J]. NATURE GENETICS, 1999, 21 (Suppl 1) : 20 - 24