scholarly journals Predicting Chemotherapy Response in Breast Cancer using Diffuse Optical Spectroscopic Imaging (DOSI): Results from the ACRIN 6691 Multi-Center Trial

Author(s):  
Bruce J. Tromberg
2011 ◽  
Vol 29 (15_suppl) ◽  
pp. TPS249-TPS249 ◽  
Author(s):  
B. J. Tromberg ◽  
J. A. Butler ◽  
D. A. Mankoff ◽  
S. J. Isakoff ◽  
N. M. Hylton ◽  
...  

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.


2021 ◽  
pp. 100006
Author(s):  
Shachi Mittal ◽  
Tomasz P. Wrobel ◽  
Michael Walsh ◽  
Andre Kajdacsy-Balla ◽  
Rohit Bhargava

2018 ◽  
Vol 74 ◽  
pp. 156-163 ◽  
Author(s):  
Yu-hong Li ◽  
Hai-ting Liu ◽  
Jing Xu ◽  
Ai-yan Xing ◽  
Jie Zhang ◽  
...  

Author(s):  
Noha Gwili ◽  
Stacey J. Jones ◽  
Waleed Al Amri ◽  
Ian M. Carr ◽  
Sarah Harris ◽  
...  

Abstract Background Breast cancer stem cells (BCSCs) are drivers of therapy-resistance, therefore are responsible for poor survival. Molecular signatures of BCSCs from primary cancers remain undefined. Here, we identify the consistent transcriptome of primary BCSCs shared across breast cancer subtypes, and we examine the clinical relevance of ITGA7, one of the genes differentially expressed in BCSCs. Methods Primary BCSCs were assessed using immunohistochemistry and fluorescently labelled using Aldefluor (n = 17). Transcriptomes of fluorescently sorted BCSCs and matched non-stem cancer cells were determined using RNA-seq (n = 6). ITGA7 expression was examined in breast cancers using immunohistochemistry (n = 305), and its functional role was tested using siRNA in breast cancer cells. Results Proportions of BCSCs varied from 0 to 9.4%. 38 genes were significantly differentially expressed in BCSCs; genes were enriched for functions in vessel morphogenesis, motility, and metabolism. ITGA7 was found to be significantly downregulated in BCSCs, and low expression significantly correlated with reduced survival in patients treated with chemotherapy, and with chemoresistance in breast cancer cells in vitro. Conclusions This study is the first to define the molecular profile of BCSCs from a range of primary breast cancers. ITGA7 acts as a predictive marker for chemotherapy response, in accordance with its downregulation in BCSCs.


2011 ◽  
Vol 16 (9) ◽  
pp. 097007 ◽  
Author(s):  
Ylenia Santoro ◽  
Anaïs Leproux ◽  
Albert Cerussi ◽  
Bruce Tromberg ◽  
Enrico Gratton

2021 ◽  
Vol 27 (8) ◽  
pp. 2148-2158
Author(s):  
Karolina Edlund ◽  
Katrin Madjar ◽  
Antje Lebrecht ◽  
Bahriye Aktas ◽  
Henryk Pilch ◽  
...  

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