Bioinformatic Study of Involved Mechanisms in Relapse and Drug Resistance of Tamoxifen-Treated Breast Cancer

Author(s):  
Masoud Keikha ◽  
George E. Barreto ◽  
Janneth González ◽  
Amirhossein Sahebkar

Background: Breast cancer is currently among the most common cause of mortality in women. Estrogen and its subsequent signaling pathways play an important role in the occurrence of breast cancer relapse. Tamoxifen is the most common breast cancer treatment option in ER+ patients, which acts as an adjuvant endocrinotherapy with X-ray and surgery. This approach is recommended as the first line treatment and has increased the survival rate of breast cancer patients and reduced the relapse cases. However, we can observe resistance to tamoxifen and relapse cases in one-third of patients treated with this drug, which has become a major concern. Objective: The precise mechanisms of relapse and resistance to tamoxifen have not yet been identified and were explored in this study. Methods: Microarray profiles of relapse and relapse-free patients were investigated to explain the processes leading to relapse and possibly to tamoxifen resistance. Results: According to the preliminary analysis, 1460 genes showed increased expression and 1132 genes showed decreased expression. According to our default for inclusion (-2LogFC≥ + 2), 36 genes had increased expression (upregulated) and 33 genes had decreased expression (down-regulated). Conclusion: It seems that the mechanisms of resistance and relapse are multifactorial, and tumor cells induce relapse and resistance to tamoxifen through mechanisms of cell proliferation, survival, invasion, angiogenesis, extracellular matrix secretion, pump and membrane changes and immune evasion.

2009 ◽  
Vol 49 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Annika Malmström ◽  
Jörgen Hansen ◽  
Lena Malmberg ◽  
Lena Carlsson ◽  
Jan-Henry Svensson ◽  
...  

1991 ◽  
Vol 3 (4) ◽  
pp. 267-270 ◽  
Author(s):  
G. Spinelli ◽  
N. Bardazzi ◽  
A. Citernesi ◽  
M. Fontanarosa ◽  
P. Curiel

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Valeriy Domenyuk ◽  
Zoran Gatalica ◽  
Radhika Santhanam ◽  
Xixi Wei ◽  
Adam Stark ◽  
...  

1998 ◽  
Author(s):  
P Pugliese ◽  
S Brugnatelli ◽  
M Giordano ◽  
M Danova ◽  
A De Monte ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yun Feng ◽  
Yun Fei Wang ◽  
Li Juan Zheng ◽  
Zhao Shi ◽  
Wei Huang ◽  
...  

Abstract Background Previous studies have found abnormal structural and functional brain alterations in breast cancer survivors undergoing chemotherapy. However, the network-level brain changes following chemotherapy remain unknown. The purpose of this study was to investigate the dynamic changes of large-scale within- and between-network functional connectivity in chemotherapy-treated breast cancer patients. Methods Seventeen breast cancer patients were evaluated with resting state functional MRI (rs-fMRI), neuropsychological tests and blood examination before postoperative chemotherapy (t0), one week after completing chemotherapy (t1) and six months after completing chemotherapy (t2). Nineteen age- and education level-matched healthy controls (HC) were also recruited. Independent components analysis (ICA) was performed to assess network component using rs-fMRI data. The functional network changes were then correlated with cognitive assessment scores and blood biochemical indexes. Results One-way repeated measures ANOVA revealed significantly changed within-network functional connectivity in the anterior and posterior default mode network (ADMN and PDMN), left and right frontoparietal network (LFPN and RFPN), visual network and self-referential network. Post-hoc test showed that decreased within-network functional connectivity in ADMN, PDMN, LFPN, RFPN, SRN and central network one week after chemotherapy and increased six months after chemotherapy (all P < 0.05). As for the between-network functional connectivity, the PDMN- sensorimotor network connectivity showed the same tendency. Most of these within- and between-network functional connectivity changes were negatively associated with blood biochemical indexes and cognitive assessment scores (all P < 0.05). Conclusions These results indicated that chemotherapy may induce widespread abnormalities in resting state networks, which may serve as a potential biomarker of chemotherapy related cognitive impairment, providing insights for further functional recovery treatment.


2020 ◽  
Vol 31 (6) ◽  
pp. 558-566
Author(s):  
Jun Zhou ◽  
Wenhui Li ◽  
Jie Ming ◽  
Wen Yang ◽  
Linlin Lu ◽  
...  

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