Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer

Ana M. Gonzalez-Angulo, Bryan T. Hennessy, Funda Meric-Bernstam, Aysegul Sahin, Wenbin Liu, Zhenlin Ju, Mark S. Carey, Simen Myhre, Corey Speers, Lei Deng, Russell Broaddus, Ana Lluch, Sam Aparicio, Powel Brown, Lajos Pusztai, W. Fraser Symmans, Jan Alsner, Jens Overgaard, Anne Lise Borresen-Dale, Gabriel N. HortobagyiKevin R. Coombes, Gordon B. Mills

    Research output: Contribution to journalArticle

    69 Scopus citations

    Abstract

    Purpose. To determine whether functional proteomics improves breast cancer classification and prognostication and can predict pathological complete response (pCR) in patients receiving neoadjuvant taxane and anthracycline- taxane-based systemic therapy (NST). Methods. Reverse phase protein array (RPPA) using 146 antibodies to proteins relevant to breast cancer was applied to three independent tumor sets. Supervised clustering to identify subgroups and prognosis in surgical excision specimens from a training set (n = 712) was validated on a test set (n = 168) in two cohorts of patients with primary breast cancer. A score was constructed using ordinal logistic regression to quantify the probability of recurrence in the training set and tested in the test set. The score was then evaluated on 132 FNA biopsies of patients treated with NST to determine ability to predict pCR. Results: Six breast cancer subgroups were identified by a 10-protein biomarker panel in the 712 tumor training set. They were associated with different recurrence-free survival (RFS) (log-rank p = 8.8 E-10). The structure and ability of the six subgroups to predict RFS was confirmed in the test set (log-rank p = 0.0013). A prognosis score constructed using the 10 proteins in the training set was associated with RFS in both training and test sets (p = 3.2E-13, for test set). There was a significant association between the prognostic score and likelihood of pCR to NST in the FNA set (p = 0.0021). Conclusion: We developed a 10-protein biomarker panel that classifies breast cancer into prognostic groups that may have potential utility in the management of patients who receive anthracycline-taxane-based NST.

    Original languageEnglish (US)
    Article number11
    JournalClinical Proteomics
    Volume8
    Issue number1
    DOIs
    StatePublished - 2011

    Keywords

    • Breast Cancer
    • Functional Proteomics
    • Prediction
    • Prognosis

    ASJC Scopus subject areas

    • Molecular Medicine
    • Molecular Biology
    • Clinical Biochemistry

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    Gonzalez-Angulo, A. M., Hennessy, B. T., Meric-Bernstam, F., Sahin, A., Liu, W., Ju, Z., Carey, M. S., Myhre, S., Speers, C., Deng, L., Broaddus, R., Lluch, A., Aparicio, S., Brown, P., Pusztai, L., Symmans, W. F., Alsner, J., Overgaard, J., Borresen-Dale, A. L., ... Mills, G. B. (2011). Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer. Clinical Proteomics, 8(1), [11]. https://doi.org/10.1186/1559-0275-8-11