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Poster Discussion Abstracts

The Molecular Anatomy of Breast Cancer Stroma; Independent Prognostic Role in ER-Positive and ER-Negative Cancers.

G. Bianchini, G. Bianchini, R. Alvarez, Y. Qi, C. Hatzis, T. Iwamoto, C. Shiang, C. Coutant, G. Hortobagyi, W. Symmans and L. Pusztai
G. Bianchini
1The University of Texas, M. D. Anderson Cancer Center, TX,
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G. Bianchini
2Fondazione IRCCS Istituto Nazionale dei Tumori, Italy
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R. Alvarez
1The University of Texas, M. D. Anderson Cancer Center, TX,
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Y. Qi
1The University of Texas, M. D. Anderson Cancer Center, TX,
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C. Hatzis
3Nuvera Biosciences. Inc, MA,
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T. Iwamoto
1The University of Texas, M. D. Anderson Cancer Center, TX,
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C. Shiang
1The University of Texas, M. D. Anderson Cancer Center, TX,
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C. Coutant
1The University of Texas, M. D. Anderson Cancer Center, TX,
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G. Hortobagyi
1The University of Texas, M. D. Anderson Cancer Center, TX,
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W. Symmans
1The University of Texas, M. D. Anderson Cancer Center, TX,
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L. Pusztai
1The University of Texas, M. D. Anderson Cancer Center, TX,
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DOI: 10.1158/0008-5472.SABCS-09-105 Published December 2009
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Abstracts: Thirty-Second Annual CTRC‐AACR San Antonio Breast Cancer Symposium‐‐ Dec 10‐13, 2009; San Antonio, TX

Abstract

BackgroundIn this paper we examine the various molecular components of a breast cancer stromal gene signature and correlate these with clinical phenotype and outcome including prognosis and response to preoperative chemotherapy.MethodsWe compared Affymetrix HGU133A-based gene expression profiles of 37 matching core needle biopsies (CNB) and fine-needle aspirations (FNA) from the same cancers. Genes over-expressed in CNB relative to the FNA were defined as the “stromal signature”. Gene expression data from 56 breast cancer cell lines, two separate neoadjuvant data sets (n=233, n=103), 3 independent cohorts of node negative, untreated patients (n=286, n=198, n=200) and 259 estrogen receptor-positive (ER+) tamoxifen-treated patients were used to assess the prognostic and predictive values of these genes in ER+ and ER- cancers separately. Univariate and multivariate Cox analyses were performed. Metagenes were defined as average expression of co-clustered genes.Results293 probe sets (206 genes) were significantly over-expressed in the CNBs (false discovery rate ≤ 0.001, fold-change ≥ 3). These genes overlapped with previously reported stromal signatures and fell into several co-expression clusters including a B-cell/Plasma Cell (B-cell), Dendritic cell, extracellular matrix (ECM), and TGFb-receptor metagenes. Interestingly, ER+ and ER- cancers showed a significantly different stroma-gene expression pattern, and many stromal genes were also differentially expressed between ER+ and ER- breast cancer cell lines. The ECM and TGFb metagenes had modest and variable prognostic value across different datasets in both ER groups. The Dendritic and B cell metagenes were highly co-expressed, but the B-cell metagene had more robust and consistent prognostic value. The B-cell metagene was statistically significant prognostic in univariate and multivariate analysis in ER+/High proliferative and ER- tumors, but it was not prognostic in ER+/Low proliferative tumors. In the 3 different node negative, untreated patient cohorts, the ER+/High proliferative cancers in the lowest B-cell metagene tertile had 10-year distant metastasis free survival (DMFS) of 0.18 (0.07-0.46), 0.22 (0.06-0.75), and 0.44 (0.21-0.92) compared to 0.71 (0.54-0.94), 0.89 (0.71-1.00) and 0.89 (0.71-1.00) in the highest tertile. Among the ER- cancers, the lowest B cell metagene group had 10-year DMFS of 0.57 (0.44-0.75), 0.63 (0.48-0.83), and 0.44 (0.25-0.76) compared to 0.93 (0.81-1.00), 0.83 (0.64-1.00) and 0.83 (0.58-1.00) in the highest B-cell metagene group in each prognostic dataset, respectively. The B-cell metagene was also prognostic in univariate (HR 0.83 (0.71-0.98) p=0.03) and multivariate (HR 0.80 (0.68-0.94) p=0.007) analysis in the Tamoxifen-treated cohort. None of the above stromal metagenes showed reproducible association with response to chemotherapy.ConclusionsThe B-cell/Plasma cell metagene component of the “stroma-related genes” is a robust and reproducible prognostic marker in ER+/High proliferative and also in ER- cancers. Other stromal genes are variably expressed in ER+ and ER- tumors and many are also expressed by neoplastic cells in culture and by primary tumors and carry less reproducible prognostic value.

Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 105.

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Cancer Research: 69 (24 Supplement)
December 2009
Volume 69, Issue 24 Supplement
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The Molecular Anatomy of Breast Cancer Stroma; Independent Prognostic Role in ER-Positive and ER-Negative Cancers.
G. Bianchini, G. Bianchini, R. Alvarez, Y. Qi, C. Hatzis, T. Iwamoto, C. Shiang, C. Coutant, G. Hortobagyi, W. Symmans and L. Pusztai
Cancer Res December 15 2009 (69) (24 Supplement) 105; DOI: 10.1158/0008-5472.SABCS-09-105

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The Molecular Anatomy of Breast Cancer Stroma; Independent Prognostic Role in ER-Positive and ER-Negative Cancers.
G. Bianchini, G. Bianchini, R. Alvarez, Y. Qi, C. Hatzis, T. Iwamoto, C. Shiang, C. Coutant, G. Hortobagyi, W. Symmans and L. Pusztai
Cancer Res December 15 2009 (69) (24 Supplement) 105; DOI: 10.1158/0008-5472.SABCS-09-105
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Poster Discussion Abstracts

  • Abstract PD7-09: Lasofoxifene decreases breast cancer lung and liver metastasis in a mammary intraductal (MIND) xenograft model of mutant ERα+ breast cancer
  • Abstract PD4-02: Withdrawn
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Poster Discussion 1 - Multigene Prognostic Signatures

  • A BRCA1-Like, 25-Gene Assay Predicts for Anthracycline-Chemosensitivity in Sporadic Triple-Negative Breast Cancer.
  • Comparison of Prognostic Signatures in Node-Negative Tamoxifen-Treated Breast Cancer Patients.
  • A Genomic-Profile Derived Summary Measure of Chromosomal Breakpoints Predicts Response to Treatment with the DNA-Damaging Agent Cisplatin.
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Multigene Prognostic Signatures - Prognostic Factors and Biomarkers-- Clinical Testing and Validation

  • Identification of a Prognostic Signature Based on the Expression of Insulin-Related Genes in Early Breast Cancer.
  • A Meta-Analysis of Gene Expression Profiling Studies Identifies Clinically Relevant Oncogenic Pathways in Basal-Like Breast Cancer.
  • Limited Clinical Utility of Prognostic Gene Expression Profiles in Grade 3 Node-Negative Early Stage Breast Cancer.
Show more Multigene Prognostic Signatures - Prognostic Factors and Biomarkers-- Clinical Testing and Validation
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