Breast Cancer Research and Treatment

, Volume 116, Issue 1, pp 69–77

Effects of infiltrating lymphocytes and estrogen receptor on gene expression and prognosis in breast cancer

  • Alberto Calabrò
  • Tim Beissbarth
  • Ruprecht Kuner
  • Michael Stojanov
  • Axel Benner
  • Martin Asslaber
  • Ferdinand Ploner
  • Kurt Zatloukal
  • Hellmut Samonigg
  • Annemarie Poustka
  • Holger Sültmann
Preclinical Study

DOI: 10.1007/s10549-008-0105-3

Cite this article as:
Calabrò, A., Beissbarth, T., Kuner, R. et al. Breast Cancer Res Treat (2009) 116: 69. doi:10.1007/s10549-008-0105-3
  • 439 Views

Abstract

The involvement of the immune system for the course of breast cancer, as evidenced by varying degrees of lymphocyte infiltration (LI) into the tumor is still poorly understood. The aim of this study was to evaluate the prognostic value of LI in breast cancer samples using microarray-based screening for LI-associated genes. Starting from the observation that most published ER gene signatures are heavily influenced by the LI effect, we developed and applied a novel approach to dissect molecular signatures. Further, a meta-analysis encompassing 1,044 hybridizations showed that LI alone is not sufficient to highlight breast cancer patients with different prognosis. However, for ER positive patients, high LI was associated with shorter survival times, whereas for ER negative patients, high LI is significantly associated with longer survival. Annotation of LI, in addition to ER status, is important for breast cancer patient prognosis and may have implications for the future treatment of breast cancer.

Keywords

Breast cancerComputational microdissectionPrognosisLymphocyte infiltrationEstrogen receptor

Supplementary material

10549_2008_105_MOESM1_ESM.pdf (163 kb)
(PDF 162 kb)

Copyright information

© Springer Science+Business Media, LLC. 2008

Authors and Affiliations

  • Alberto Calabrò
    • 1
  • Tim Beissbarth
    • 1
  • Ruprecht Kuner
    • 1
  • Michael Stojanov
    • 1
  • Axel Benner
    • 2
  • Martin Asslaber
    • 3
  • Ferdinand Ploner
    • 4
  • Kurt Zatloukal
    • 3
  • Hellmut Samonigg
    • 4
  • Annemarie Poustka
    • 1
  • Holger Sültmann
    • 1
  1. 1.Division of Molecular Genome AnalysisGerman Cancer Research CenterHeidelbergGermany
  2. 2.Division of BiostatisticGerman Cancer Research CenterHeidelbergGermany
  3. 3.Institutes of PathologyMedical University of GrazGrazAustria
  4. 4.Clinical OncologyMedical University of GrazGrazAustria