PURPOSE: Molecular classification of breast cancer has been proposed based on gene expression profiles of human tumors. Luminal, basal-like, normal-like, and erbB2+ subgroups were identified and were shown to have different prognoses. The goal of this research was to determine if these different molecular subtypes of breast cancer also respond differently to preoperative chemotherapy. EXPERIMENTAL DESIGN: Fine needle aspirations of 82 breast cancers were obtained before starting preoperative paclitaxel followed by 5-fluorouracil, doxorubicin, and cyclophosphamide chemotherapy. Gene expression profiling was done with Affymetrix U133A microarrays and the previously reported "breast intrinsic" gene set was used for hierarchical clustering and multidimensional scaling to assign molecular class. RESULTS: The basal-like and erbB2+ subgroups were associated with the highest rates of pathologic complete response (CR), 45% [95% confidence interval (95% CI), 24-68] and 45% (95% CI, 23-68), respectively, whereas the luminal tumors had a pathologic CR rate of 6% (95% CI, 1-21). No pathologic CR was observed among the normal-like cancers (95% CI, 0-31). Molecular class was not independent of conventional cliniocopathologic predictors of response such as estrogen receptor status and nuclear grade. None of the 61 genes associated with pathologic CR in the basal-like group were associated with pathologic CR in the erbB2+ group, suggesting that the molecular mechanisms of chemotherapy sensitivity may vary between these two estrogen receptor-negative subtypes. CONCLUSIONS: The basal-like and erbB2+ subtypes of breast cancer are more sensitive to paclitaxel- and doxorubicin-containing preoperative chemotherapy than the luminal and normal-like cancers.
PURPOSE: Molecular classification of breast cancer has been proposed based on gene expression profiles of humantumors. Luminal, basal-like, normal-like, and erbB2+ subgroups were identified and were shown to have different prognoses. The goal of this research was to determine if these different molecular subtypes of breast cancer also respond differently to preoperative chemotherapy. EXPERIMENTAL DESIGN: Fine needle aspirations of 82 breast cancers were obtained before starting preoperative paclitaxel followed by 5-fluorouracil, doxorubicin, and cyclophosphamide chemotherapy. Gene expression profiling was done with Affymetrix U133A microarrays and the previously reported "breast intrinsic" gene set was used for hierarchical clustering and multidimensional scaling to assign molecular class. RESULTS: The basal-like and erbB2+ subgroups were associated with the highest rates of pathologic complete response (CR), 45% [95% confidence interval (95% CI), 24-68] and 45% (95% CI, 23-68), respectively, whereas the luminal tumors had a pathologic CR rate of 6% (95% CI, 1-21). No pathologic CR was observed among the normal-like cancers (95% CI, 0-31). Molecular class was not independent of conventional cliniocopathologic predictors of response such as estrogen receptor status and nuclear grade. None of the 61 genes associated with pathologic CR in the basal-like group were associated with pathologic CR in the erbB2+ group, suggesting that the molecular mechanisms of chemotherapy sensitivity may vary between these two estrogen receptor-negative subtypes. CONCLUSIONS: The basal-like and erbB2+ subtypes of breast cancer are more sensitive to paclitaxel- and doxorubicin-containing preoperative chemotherapy than the luminal and normal-like cancers.
Authors: Franca Podo; Lutgarde M C Buydens; Hadassa Degani; Riet Hilhorst; Edda Klipp; Ingrid S Gribbestad; Sabine Van Huffel; Hanneke W M van Laarhoven; Jan Luts; Daniel Monleon; Geert J Postma; Nicole Schneiderhan-Marra; Filippo Santoro; Hans Wouters; Hege G Russnes; Therese Sørlie; Elda Tagliabue; Anne-Lise Børresen-Dale Journal: Mol Oncol Date: 2010-04-24 Impact factor: 6.603
Authors: Armando M Marrufo; Stephen O Mathew; Pankaj Chaudhary; Joseph D Malaer; Jamboor K Vishwanatha; Porunelloor A Mathew Journal: Am J Cancer Res Date: 2018-06-01 Impact factor: 6.166
Authors: Jennifer A Crozier; Pooja P Advani; Betsy LaPlant; Timothy Hobday; Anthony J Jaslowski; Alvaro Moreno-Aspitia; Edith A Perez Journal: Clin Breast Cancer Date: 2015-08-19 Impact factor: 3.225
Authors: Woonyoung Choi; Sima Porten; Seungchan Kim; Daniel Willis; Elizabeth R Plimack; Jean Hoffman-Censits; Beat Roth; Tiewei Cheng; Mai Tran; I-Ling Lee; Jonathan Melquist; Jolanta Bondaruk; Tadeusz Majewski; Shizhen Zhang; Shanna Pretzsch; Keith Baggerly; Arlene Siefker-Radtke; Bogdan Czerniak; Colin P N Dinney; David J McConkey Journal: Cancer Cell Date: 2014-02-10 Impact factor: 31.743