Overexpression of serum exosomal HOTAIR is correlated with poor survival and poor response to chemotherapy in breast cancer patients

2019 ◽  
Vol 44 (2) ◽  
Author(s):  
Shicong Tang ◽  
Kai Zheng ◽  
Yiyin Tang ◽  
Zhen Li ◽  
Tianning Zou ◽  
...  
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.


2001 ◽  
Vol 66 (3) ◽  
pp. 249-254 ◽  
Author(s):  
Ana Rita Manhani ◽  
Reinaldo Manhani ◽  
Heloisa P. Soares ◽  
Israel Bendit ◽  
Fabiana Lopes ◽  
...  

2017 ◽  
Vol 26 (4) ◽  
pp. 473-482 ◽  
Author(s):  
Adela Madrid-Paredes ◽  
Marisa Cañadas-Garre ◽  
Antonio Sánchez-Pozo ◽  
Manuela Expósito-Ruiz ◽  
Miguel Ángel Calleja-Hernández

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e98930 ◽  
Author(s):  
Anne-Claire Lavigne ◽  
Magali Castells ◽  
Jérôme Mermet ◽  
Silvia Kocanova ◽  
Mathieu Dalvai ◽  
...  

2009 ◽  
Vol 175 (5) ◽  
pp. 1848-1857 ◽  
Author(s):  
Dong L. Barraclough ◽  
Angela Platt-Higgins ◽  
Suzete de Silva Rudland ◽  
Roger Barraclough ◽  
John Winstanley ◽  
...  

2009 ◽  
Vol 124 (2) ◽  
pp. 333-338 ◽  
Author(s):  
Nicola Tinari ◽  
Rossano Lattanzio ◽  
Patrizia Querzoli ◽  
Clara Natoli ◽  
Antonino Grassadonia ◽  
...  

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