scholarly journals Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy

2008 ◽  
Vol 10 (2) ◽  
Author(s):  
Emma Niméus-Malmström ◽  
Morten Krogh ◽  
Per Malmström ◽  
Carina Strand ◽  
Irma Fredriksson ◽  
...  
2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e11530-e11530
Author(s):  
Kentaro Tamaki ◽  
Nobumitsu Tamaki ◽  
Yoshihiko Kamada ◽  
Kanou Uehara ◽  
Minoru Miyashita ◽  
...  

e11530 Background: Postoperative irradiation or radiotherapy following breast conservation surgery has been reported to be clinically effective in terms of prevention of local breast cancer recurrences. However, it is also true that its local recurrence rate was only 5% to 10%, suggestive of the lack of its clinical benefits in the great majority of the cases. The purpose of this study was to investigate the significance of post-operative radiotherapy in breast conservation surgery by comparing the groups with or without irradiation. Methods: We retrospectively evaluated 1197 Japanese female breast cancer patients (598 irradiation cases and 599 non-irradiation cases). Radiation was administered in a dose of 50 Gy for all conserved breast and additional 10 Gy in those with positive margins or carcinoma within 5mm from surgical margin. We examined the local recurrence rates in those with or without post-operative irradiation according to the status of surgical margin, ER and HER2 in breast cancer tissues. Results: RFS in the irradiated groups were significantly higher than non-irradiated ones in surgical margin positive (P=0.001, HR: 0.334, 95%CI: 0.14-0.79), negative (P=0.015, 0.362, 95%CI: 0.15-0.82), ER positive (P<0.001, HR: 0.249, 95%CI: 0.11-0.54), HER2 negative (P=0.002, HR: 0.316, 95%CI: 0.15-0.65) and non-triple negative patients (P=0.001, HR: 0.382, 95%CI: 0.21-0.69). However, no significant differences were detected between these two groups in ER negative (P=0.288, HR: 0.586, 95%CI: 0.22-1.57), HER2 positive (P=0.969, HR: 0.971, 95%CI: 0.22-4.24) and triple negative (P=0.336, HR: 0.282, 95%CI: 0.02-3.72) patients. Conclusions: Results of our present study could provide clinically inert information as to the selection of the breast cancer patients following conserve surgery.


Breast Care ◽  
2006 ◽  
Vol 1 (6) ◽  
pp. 362-367
Author(s):  
Andreas Schneeweiss ◽  
Peter Lichter ◽  
Christof Sohn ◽  
Meinhard Hahn

BMC Genomics ◽  
2014 ◽  
Vol 15 (Suppl 2) ◽  
pp. P55 ◽  
Author(s):  
Adnan Merdad ◽  
Sajjad Karim ◽  
Hans-Juergen Schulten ◽  
Ashraf Dallol ◽  
Abdelbaset S Buhmeida ◽  
...  

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 2531-2531
Author(s):  
J. Hannemann ◽  
H. Halfwerk ◽  
A. Velds ◽  
C. Loo ◽  
E. J. Rutgers ◽  
...  

2531 Background: Preoperative chemotherapy is increasingly employed to treat primary breast cancer, allowing an ‘in vivo chemosensitivity test’. Markers which predict a pathological complete response are urgently needed to refine this strategy. This study was conducted to evaluate the use of gene expression profiling to predict response to neoadjuvant anthracycline- or taxane-based chemotherapy. Methods: Patients with operable or locally advanced HER2-negative breast cancer received preoperative chemotherapy: either dose- dense doxorubicin and cyclophosphamide (ddAC) or capecitabine and docetaxel (CD). Core needle biopsies were taken before treatment and gene expression profiling was performed using 35k oligo microarrays. Results: Gene expression profiles were obtained from pretreatment biopsies of 63 tumors. 27% of the patients achieved a (near) pathologic complete remission (pCR), 40% of the patients had a partial remission and 33% of the patients did not respond to chemotherapy. Based on the gene expression profiles, tumors were assigned to the previously identified “molecular subtypes” luminal, basal-like or ERBB2-like (Sorlie et al., PNAS 98: 10869, 2001). 13 out of 25 patients with a basal-like tumor (52%) achieved a complete remission, whereas for the luminal tumors a pCR was only obtained in 2 out of 29 patients. Using four published gene expression classifiers of response to chemotherapy, a reasonable separation between responders and non-responders could be observed for two of these. We also performed exploratory supervised classification analyses on our dataset to identify a novel classifier. This resulted in a classifier for response to therapy irrespective of the chemotherapy regimen used and a second classifier specifically associated with response to ddAC chemotherapy. We will perform validation of these classifiers in samples from patients that are currently being enrolled in the study. Conclusions: Basal-like tumors have a better response to neoadjuvant chemotherapy as compared to other tumor types. The identification of robust gene expression signatures for better response prediction may require larger patient groups and should probably be established separately for each of the molecular subtypes of breast cancer. No significant financial relationships to disclose.


2005 ◽  
Vol 7 (1) ◽  
pp. 38-44 ◽  
Author(s):  
Roman Rouzier ◽  
Peter Wagner ◽  
Paolo Morandi ◽  
Lajos Pusztai

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