Gene expression profiling spares early breast cancer patients from adjuvant therapy:: derived and validated in two population-based cohorts

被引:619
作者
Pawitan, Y
Bjöhle, J
Amler, L
Borg, AL
Egyhazi, S
Hall, P
Han, X
Holmberg, L
Huang, F
Klaar, S
Liu, ET
Miller, L
Nordgren, H
Ploner, A
Sandelin, K
Shaw, PM
Smeds, J
Skoog, L
Wedrén, S
Bergh, J [1 ]
机构
[1] Karolinska Inst, Radiumhemmet, Dept Pathol & Oncol, Stockholm, Sweden
[2] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
[3] Univ Hosp, Stockholm, Sweden
[4] Genentech Inc, San Francisco, CA 94080 USA
[5] Bristol Myers Squibb Co, Princeton, NJ USA
[6] Univ Uppsala Hosp, Reg Oncol Ctr, Uppsala, Sweden
[7] Genome Inst Singapore, Singapore, Singapore
[8] Univ Uppsala Hosp, Dept Pathol, S-75185 Uppsala, Sweden
[9] Karolinska Hosp & Inst, Dept Surg Sci, Stockholm, Sweden
关键词
D O I
10.1186/bcr1325
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction Adjuvant breast cancer therapy significantly improves survival, but overtreatment and undertreatment are major problems. Breast cancer expression profiling has so far mainly been used to identify women with a poor prognosis as candidates for adjuvant therapy but without demonstrated value for therapy prediction. Methods We obtained the gene expression profiles of 159 population-derived breast cancer patients, and used hierarchical clustering to identify the signature associated with prognosis and impact of adjuvant therapies, defined as distant metastasis or death within 5 years. Independent datasets of 76 treated population-derived Swedish patients, 135 untreated population-derived Swedish patients and 78 Dutch patients were used for validation. The inclusion and exclusion criteria for the studies of population-derived Swedish patients were defined. Results Among the 159 patients, a subset of 64 genes was found to give an optimal separation of patients with good and poor outcomes. Hierarchical clustering revealed three subgroups: patients who did well with therapy, patients who did well without therapy, and patients that failed to benefit from given therapy. The expression profile gave significantly better prognostication ( odds ratio, 4.19; P = 0.007) ( breast cancer end-points odds ratio, 10.64) compared with the Elston - Ellis histological grading ( odds ratio of grade 2 vs 1 and grade 3 vs 1, 2.81 and 3.32 respectively; P = 0.24 and 0.16), tumor stage ( odds ratio of stage 2 vs 1 and stage 3 vs 1, 1.11 and 1.28; P = 0.83 and 0.68) and age ( odds ratio, 0.11; P = 0.55). The risk groups were consistent and validated in the independent Swedish and Dutch data sets used with 211 and 78 patients, respectively. Conclusion We have identified discriminatory gene expression signatures working both on untreated and systematically treated primary breast cancer patients with the potential to spare them from adjuvant therapy.
引用
收藏
页码:R953 / R964
页数:12
相关论文
共 42 条
  • [1] Abe O, 1998, LANCET, V352, P930
  • [2] Ahr A, 2001, J PATHOL, V195, P312
  • [3] Baum M, 2002, LANCET, V359, P2131
  • [4] Tailored fluorouracil, epirubicin, and cyclophosphamide compared with marrow-supported high-dose chemotherapy as adjuvant treatment for high-risk breast cancer:: a randomised trial
    Bergh, J
    Wiklund, T
    Erikstein, B
    Lidbrink, E
    Lindman, H
    Malmström, P
    Kellokumpu-Lehtinen, P
    Bengtsson, NO
    Söderlund, G
    Anker, G
    Wist, E
    Ottosson, S
    Salminen, E
    Ljungman, P
    Holte, H
    Nilsson, J
    Blomqvist, C
    Wilking, N
    [J]. LANCET, 2000, 356 (9239) : 1384 - 1391
  • [5] Where next with stem-cell-supported high-dose therapy for breast cancer?
    Bergh, J
    [J]. LANCET, 2000, 355 (9208) : 944 - 945
  • [6] COMPLETE SEQUENCING OF THE P53 GENE PROVIDES PROGNOSTIC INFORMATION IN BREAST-CANCER PATIENTS, PARTICULARLY IN RELATION TO ADJUVANT SYSTEMIC THERAPY AND RADIOTHERAPY
    BERGH, J
    NORBERG, T
    SJOGREN, S
    LINDGREN, A
    HOLMBERG, L
    [J]. NATURE MEDICINE, 1995, 1 (10) : 1029 - 1034
  • [7] Long-term survival rates of cancer patients achieved by the end of the 20th century: a period analysis
    Brenner, H
    [J]. LANCET, 2002, 360 (9340) : 1131 - 1135
  • [8] 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
  • [9] Identification of transcriptional targets of HOXA5
    Chen, HX
    Rubin, E
    Zhang, HP
    Chung, S
    Jie, CC
    Garrett, E
    Biswal, S
    Sukumar, S
    [J]. JOURNAL OF BIOLOGICAL CHEMISTRY, 2005, 280 (19) : 19373 - 19380
  • [10] HOXA5-induced apoptosis in breast cancer cells is mediated by caspases 2 and 8
    Chen, HX
    Chung, S
    Sukumar, S
    [J]. MOLECULAR AND CELLULAR BIOLOGY, 2004, 24 (02) : 924 - 935