4.7 Article

Intrinsic subtypes and genomic signatures of primary breast cancer and prognosis after systemic relapse

期刊

MOLECULAR ONCOLOGY
卷 10, 期 4, 页码 517-525

出版社

WILEY
DOI: 10.1016/j.molonc.2015.11.004

关键词

Intrinsic subtypes; Risk of recurrence score; Proliferation score; Gene expression signature; Metastatic breast cancer

类别

资金

  1. European Society of Medical Oncology (ESMO) Translational Research Fellowship
  2. Swedish Breast Cancer Association
  3. Swedish Cancer Society [CAN 2014/847, CAN 2013/720]
  4. research funds at Radium-hemmet [134023]
  5. Knut and Alice Wallenberg grant [2014.0112]
  6. Karolinska Institutet-AstraZeneca
  7. Breast Cancer Theme Center (BRECT) at Karolinska Institutet
  8. Stockholm County Council (ALF)

向作者/读者索取更多资源

Molecular subtypes and gene expression signatures are widely used in early breast cancer but their role in metastatic disease is less explored. Two hundred-twenty patients diagnosed with primary breast cancer and subsequent relapse in Stockholm, Sweden between 1997 and 2006 were identified and their primary tumor was assessed for immunohistochemistry (IHC)- and PAM50-based subtypes, risk of recurrence (ROR-S) score, 21-gene and 70-gene signatures using research-based microarray expression profiles. Clinical and pathological data were retrospectively collected. Post-relapse survival within intrinsic subtypes and genomic signatures was investigated by Kaplan-Meier and Cox regression methods. ROR weighted for proliferation index (ROR-P) was explored and the prognostic contribution provided when combined to a clinical model estimated as change in LR-chi(2). IHC classified 27%, 24%, 36% and 13% of the tumors as luminal A, luminal B, HER2+ and triple negative, respectively. PAM50 categorized 22%, 24%, 26%, 22%, 6% of the tumors as luminal A, luminal B, HER2-enriched, basal-like and normal like. Triple negative and basal tumors had a significantly shorter median post-relapse survival in comparison with luminal. Overall, neither IHC nor PAM50 subtypes, 21- and 70- gene profiles were prognostic in multivariable models. Low and medium ROR-S had a longer survival compared with the high-risk group (23 vs 10 months; p = 0.04). ROR-P independently correlated with post-relapse survival (p = 0.002) and provided the most significant prognostic information when added to a clinical model. ROR score from primary tumor represents an independent prognostic factor of post-relapse survival beyond classical clinical and pathological variables. (C) 2015 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

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