Abstract 4267: Gene expression profile of fibroblasts from different topographical origins in breast cancer patients

Author(s):  
Paulo Roberto Del Valle ◽  
Maria Lucia Hirata Katayama ◽  
Patricia Bortman Rozenchan ◽  
Cintia Milani ◽  
Eduardo Carneiro Lyra ◽  
...  
2008 ◽  
Vol 113 (2) ◽  
pp. 231-237 ◽  
Author(s):  
Lian-Fang Li ◽  
Xiao-Jing Xu ◽  
Ying Zhao ◽  
Zhe-Bing Liu ◽  
Zhen-Zhou Shen ◽  
...  

The Breast ◽  
2009 ◽  
Vol 18 (3) ◽  
pp. 171-174 ◽  
Author(s):  
Sadako Akashi-Tanaka ◽  
Chikako Shimizu ◽  
Masashi Ando ◽  
Tatsuhiro Shibata ◽  
Noriyuki Katsumata ◽  
...  

2013 ◽  
Vol 7 (S2) ◽  
Author(s):  
Paulo R Del Valle ◽  
Maria LH Katayama ◽  
Dirce M Carraro ◽  
Renato Puga ◽  
Eduardo C Lyra ◽  
...  

The Breast ◽  
2011 ◽  
Vol 20 ◽  
pp. S45 ◽  
Author(s):  
F. Zanconati ◽  
P. Cusumano ◽  
C. Tinterri ◽  
A. Di Napoli ◽  
M. Lutke Holzik ◽  
...  

Breast Care ◽  
2015 ◽  
Vol 10 (2) ◽  
pp. 118-122 ◽  
Author(s):  
Hideo Shimizu ◽  
Yoshiya Horimoto ◽  
Atsushi Arakawa ◽  
Hiroshi Sonoue ◽  
Mami Kurata ◽  
...  

Background: As data on using MammaPrint®, a 70-gene expression profile for molecular subtyping of breast cancer, are limited in Japanese patients, we aimed to determine the gene profiles of Japanese patients using MammaPrint and to investigate its possible clinical application for selecting adjuvant treatments. Patients and Methods: 50 women treated surgically at our institution were examined. The MammaPrint results were compared with the St Gallen 2007 and intrinsic subtype risk categorizations. Results: Of 38 cases judged to be at intermediate risk based on the St Gallen 2007 Consensus, 11 (29%) were in the high-risk group based on MammaPrint. 1 of the 30 luminal A-like tumors (3%) was judged as high risk based on MammaPrint results, whereas 7 of the 20 tumors (35%) categorized as luminal B-like or triple negative were in the low-risk group. There have been no recurrences to date in the MammaPrint group, and this is possibly attributable to most of the high-risk patients receiving chemotherapy that had been recommended on the basis of their MammaPrint results. Conclusions: Our results indicate that MammaPrint is applicable to Japanese patients and that it is of potential value in current clinical practice for devising individualized treatments.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Xu Yang ◽  
Geng-Xi Cai ◽  
Bo-Wei Han ◽  
Zhi-Wei Guo ◽  
Ying-Song Wu ◽  
...  

AbstractGene expression signatures have been used to predict the outcome of chemotherapy for breast cancer. The nucleosome footprint of cell-free DNA (cfDNA) carries gene expression information of the original tissues and thus may be used to predict the response to chemotherapy. Here we carried out the nucleosome positioning on cfDNA from 85 breast cancer patients and 85 healthy individuals and two cancer cell lines T-47D and MDA-MB-231 using low-coverage whole-genome sequencing (LCWGS) method. The patients showed distinct nucleosome footprints at Transcription Start Sites (TSSs) compared with normal donors. In order to identify the footprints of cfDNA corresponding with the responses to neoadjuvant chemotherapy in patients, we mapped on nucleosome positions on cfDNA of patients with different responses: responders (pretreatment, n = 28; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 12) and nonresponders (pretreatment, n = 10; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 10). The coverage depth near TSSs in plasma cfDNA differed significantly between responders and nonresponders at pretreatment, and also after neoadjuvant chemotherapy treatment cycles. We identified 232 TSSs with differential footprints at pretreatment and 321 after treatment and found enrichment in Gene Ontology terms such as cell growth inhibition, tumor suppressor, necrotic cell death, acute inflammatory response, T cell receptor signaling pathway, and positive regulation of vascular endothelial growth factor production. These results suggest that cfDNA nucleosome footprints may be used to predict the efficacy of neoadjuvant chemotherapy for breast cancer patients and thus may provide help in decision making for individual patients.


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