PURPOSE: The prognostic and predictive relevance of epidermal growth factor receptor 2 (ERBB2) and topoisomerase II alpha (TOP2A) have long been a matter of debate. However, the correlation of DNA amplification, RNA levels, and protein expression and their prognostic role and association with anthracycline responses in node-negative breast cancer have not yet been evaluated. EXPERIMENTAL DESIGN: We first analyzed TOP2A and ERBB2 at the levels of gene amplification, and RNA and protein expression, and studied their correlations. Additionally, TOP2A and ERBB2 were analyzed in 782 node-negative breast carcinomas in patients who did not receive systemic therapy and in 80 patients treated with epirubicin and cyclophosphamide (EC) prior to surgery. RESULTS: TOP2A gene amplification did not correlate with protein expression (P = 0.283) and showed an association with gene expression with only borderline significance (P = 0.047). By contrast, TOP2A RNA levels correlated with protein expression (P < 0.001). TOP2A gene expression was significantly associated with the metastasis-free interval (MFI; P < 0.001) and was associated with complete remission in patients treated with EC (P = 0.002). In contrast to TOP2A, ERBB2 gene amplification correlated with RNA level (P < 0.001) and protein expression (P < 0.001). ERBB2 gene expression was associated with the MFI only in estrogen receptor-positive carcinomas, whereas ERBB2 protein expression (P = 0.032) was associated with MFI in the entire cohort. CONCLUSIONS: Overall, our study indicates that the TOP2A RNA level is a good prognostic marker and is also associated with a favorable response to anthracyclin-based therapy. By contrast, ESR1 was associated with poorer responses to anthracyclin-based therapy, whereas the association with ERBB2 RNA was not significant.
PURPOSE: The prognostic and predictive relevance of epidermal growth factor receptor 2 (ERBB2) and topoisomerase II alpha (TOP2A) have long been a matter of debate. However, the correlation of DNA amplification, RNA levels, and protein expression and their prognostic role and association with anthracycline responses in node-negative breast cancer have not yet been evaluated. EXPERIMENTAL DESIGN: We first analyzed TOP2A and ERBB2 at the levels of gene amplification, and RNA and protein expression, and studied their correlations. Additionally, TOP2A and ERBB2 were analyzed in 782 node-negative breast carcinomas in patients who did not receive systemic therapy and in 80 patients treated with epirubicin and cyclophosphamide (EC) prior to surgery. RESULTS:TOP2A gene amplification did not correlate with protein expression (P = 0.283) and showed an association with gene expression with only borderline significance (P = 0.047). By contrast, TOP2A RNA levels correlated with protein expression (P < 0.001). TOP2A gene expression was significantly associated with the metastasis-free interval (MFI; P < 0.001) and was associated with complete remission in patients treated with EC (P = 0.002). In contrast to TOP2A, ERBB2 gene amplification correlated with RNA level (P < 0.001) and protein expression (P < 0.001). ERBB2 gene expression was associated with the MFI only in estrogen receptor-positive carcinomas, whereas ERBB2 protein expression (P = 0.032) was associated with MFI in the entire cohort. CONCLUSIONS: Overall, our study indicates that the TOP2A RNA level is a good prognostic marker and is also associated with a favorable response to anthracyclin-based therapy. By contrast, ESR1 was associated with poorer responses to anthracyclin-based therapy, whereas the association with ERBB2 RNA was not significant.
Authors: Anna Zaczek; Aleksandra Markiewicz; Anna Supernat; Natalia Bednarz-Knoll; Burkhardt Brandt; Barbara Seroczyńska; Jarosław Skokowski; Jolanta Szade; Piotr Czapiewski; Wojciech Biernat; Marzena Wełnicka-Jaśkiewicz; Jacek Jassem Journal: Pathol Oncol Res Date: 2012-03-18 Impact factor: 3.201
Authors: Joseph A Sparano; Lori J Goldstein; Nancy E Davidson; George W Sledge; Robert Gray Journal: Breast Cancer Res Treat Date: 2012-06-16 Impact factor: 4.872
Authors: Vladimir M Moiseyenko; Nikita M Volkov; Evgeny N Suspistin; Grigoriy A Yanus; Aglaya G Iyevleva; Ekatherina Sh Kuligina; Alexandr V Togo; Alexandr V Kornilov; Alexandr O Ivantsov; Evgeny N Imyanitov Journal: Med Oncol Date: 2013-03-27 Impact factor: 3.064
Authors: Leandro A Loss; Anguraj Sadanandam; Steffen Durinck; Shivani Nautiyal; Diane Flaucher; Victoria E H Carlton; Martin Moorhead; Yontao Lu; Joe W Gray; Malek Faham; Paul Spellman; Bahram Parvin Journal: BMC Bioinformatics Date: 2010-06-04 Impact factor: 3.169