Correlation between miRNA and gene expression profiles and response to neoadjuvant chemotherapy in patients with locally advanced and inflammatory breast cancer.

2011 ◽  
Vol 29 (15_suppl) ◽  
pp. 548-548 ◽  
Author(s):  
G. Somlo ◽  
S. M. Li ◽  
X. Wu ◽  
S. Lau ◽  
P. H. Frankel ◽  
...  
2005 ◽  
Vol 23 (15) ◽  
pp. 3331-3342 ◽  
Author(s):  
Juliane Hannemann ◽  
Hendrika M. Oosterkamp ◽  
Cathy A.J. Bosch ◽  
Arno Velds ◽  
Lodewyk F.A. Wessels ◽  
...  

Purpose At present, clinically useful markers predicting response of primary breast carcinomas to either doxorubicin-cyclophosphamide (AC) or doxorubicin-docetaxel (AD) are lacking. We investigated whether gene expression profiles of the primary tumor could be used to predict treatment response to either of those chemotherapy regimens. Patients and Methods Within a single-institution, randomized, phase II trial, patients with locally advanced breast cancer received six courses of either AC (n = 24) or AD (n = 24) neoadjuvant chemotherapy. Gene expression profiles were generated from core-needle biopsies obtained before treatment and correlated with the response of the primary tumor to the chemotherapy administered. Additionally, pretreatment gene expression profiles were compared with those in tumors remaining after chemotherapy. Results Ten (20%) of 48 patients showed a (near) pathologic complete remission of the primary tumor after treatment. No gene expression pattern correlating with response could be identified for all patients or for the AC or AD groups separately. The comparison of the pretreatment biopsy and the tumor excised after chemotherapy revealed differences in gene expression in tumors that showed a partial remission but not in tumors that did not respond to chemotherapy. Conclusion No gene expression profile predicting the response of primary breast carcinomas to AC- or AD-based neoadjuvant chemotherapy could be detected in this interim analysis. More subtle differences in gene expression are likely to be present but can only be reliably identified by studying a larger group of patients. Response of a breast tumor to neoadjuvant chemotherapy results in alterations in gene expression.


2006 ◽  
Vol 12 (3) ◽  
pp. 819-826 ◽  
Author(s):  
Holly K. Dressman ◽  
Christopher Hans ◽  
Andrea Bild ◽  
John A. Olson ◽  
Eric Rosen ◽  
...  

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 20005-20005
Author(s):  
J. Hannemann ◽  
H. Halfwerk ◽  
A. Velds ◽  
C. Loo ◽  
E. Rutgers ◽  
...  

20005 Background: Neoadjuvant chemotherapy is increasingly employed in operable breast cancer. Our initial studies on a cDNA array platform failed to identify gene expression patterns predicting response to neoadjuvant chemotherapy in breast cancer patients (J Clin Oncol 23:3331, 2005). Now we included more patients and used oligo microarrays. Methods: Patients with operable or locally advanced breast cancer were included in a randomized phase II study or received neoadjuvant chemotherapy off protocol. All except 7 patients began chemotherapy with 3 courses of dose-dense adriamycin and cyclophosphamide (ddAC) and response was evaluated by MRI. Patients with a response and a HER2-positive tumor were then randomized between either 3 additional courses of ddAC or six weekly courses of carboplatin, paclitaxel and trastuzumab (CPT). Patients without response were switched to CPT. Patients with HER2-negative tumors were randomized between 3 courses of either ddAC or capecitabine and docetaxel (CD). After evaluation, patients without response were switched to the alternative treatment arm. From all patients 14G core needle biopsies were taken before treatment and total RNA was isolated. Amplified mRNA was labeled and hybridized to 35k human oligo microarrays from our microarray facility. Results: So far, 77 patients have been included into the study. From 48 of these, good quality RNA from tissue with >50% tumor cells was isolated. 43 patients had received ddAC as initial chemotherapy; 32 of these had not been switched to another regimen. In a training set containing 11 pathological complete remissions (pCR) and 9 non-responders (NR) we could separate these groups by using 20 genes in a supervised classification and a 9-step cross validation. These results could be validated in an independent set of 11 samples (6 pCR, 5 NR). From 10 out of 11 samples, response status could be predicted correctly, independent from the treatment regimen. Although ER-positive tumors have a lower pCR rate than ER-negative ones, the steroid hormone receptors were not present in the classifier. Conclusions: We conclude that it should be possible to identify a reliable gene expression profile associated with response to adriamycin based neoadjuvant chemotherapy in breast cancer. No significant financial relationships to disclose.


2014 ◽  
Vol 32 (15_suppl) ◽  
pp. 11129-11129
Author(s):  
Rene Aloisio da Costa Vieira ◽  
Angelo Gustavo Zucca Matthes ◽  
Maria Lucia Hirata Katayama ◽  
Victor Piana Andrade ◽  
Rosimeire Aparecida Roela ◽  
...  

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