Breast Cancer Research and Treatment

, Volume 103, Issue 2, pp 197–208

Predicting response to primary chemotherapy: gene expression profiling of paraffin-embedded core biopsy tissue

Authors

  • Lida Mina
    • Department of MedicineIndiana University
  • Sharon E. Soule
    • Division of Hematology and OncologyIndiana University
  • Sunil Badve
    • Department of Anatomic PathologyIndiana University
  • Fredrick L. Baehner
    • Genomic Health Inc.
  • Joffre Baker
    • Genomic Health Inc.
  • Maureen Cronin
    • Genomic Health Inc.
  • Drew Watson
    • Genomic Health Inc.
  • Mei-Lan Liu
    • Genomic Health Inc.
  • George W. SledgeJr
    • Division of Hematology and OncologyIndiana University
  • Steve Shak
    • Genomic Health Inc.
    • Division of Hematology and OncologyIndiana University
Clinical trial

DOI: 10.1007/s10549-006-9366-x

Cite this article as:
Mina, L., Soule, S.E., Badve, S. et al. Breast Cancer Res Treat (2007) 103: 197. doi:10.1007/s10549-006-9366-x

Abstract

Purpose

Primary chemotherapy provides an ideal opportunity to correlate gene expression with response to treatment. We used paraffin-embedded core biopsies from a completed phase II trial to identify genes that correlate with response to primary chemotherapy.

Patients and Methods

Patients with newly diagnosed stage II or III breast cancer were treated with sequential doxorubicin 75 mg/M2 q2 wks × 3 and docetaxel 40 mg/M2 weekly × 6; treatment order was randomly assigned. Pretreatment core biopsy samples were interrogated for genes that might correlate with pathologic complete response (pCR). In addition to the individual genes, the correlation of the Oncotype DX Recurrence Score with pCR was examined.

Results

Of 70 patients enrolled in the parent trial, core biopsies samples with sufficient RNA for gene analyses were available from 45 patients; 9 (20%) had inflammatory breast cancer (IBC). Six (14%) patients achieved a pCR. Twenty-two of the 274 candidate genes assessed correlated with pCR (p < 0.05). Genes correlating with pCR could be grouped into three large clusters: angiogenesis-related genes, proliferation related genes, and invasion-related genes. Expression of estrogen receptor (ER)-related genes and Recurrence Score did not correlate with pCR. In an exploratory analysis we compared gene expression in IBC to non-inflammatory breast cancer; twenty-four (9%) of the genes were differentially expressed (p < 0.05), 5 were upregulated and 19 were downregulated in IBC.

Conclusion

Gene expression analysis on core biopsy samples is feasible and identifies candidate genes that correlate with pCR to primary chemotherapy. Gene expression in IBC differs significantly from noninflammatory breast cancer.

Keywords

AngiogenesisProliferationInvasionInflammatory breast cancer

Copyright information

© Springer Science+Business Media B.V. 2006