PKCη is an anti-apoptotic kinase that predicts poor prognosis in breast and lung cancer

2014 ◽  
Vol 42 (6) ◽  
pp. 1519-1523 ◽  
Author(s):  
Udi Zurgil ◽  
Assaf Ben-Ari ◽  
Noa Rotem-Dai ◽  
Galia Karp ◽  
Ella Krasnitsky ◽  
...  

The successful treatment of cancer in a disseminated stage using chemotherapy is limited by the occurrence of drug resistance, often mediated by anti-apoptotic mechanisms. Thus the challenge is to pinpoint the underlying key factors and to develop therapies for their direct targeting. Protein kinase C (PKC) enzymes are promising candidates, as some PKCs were shown to be involved in regulation of apoptosis. Our studies and others have shown that PKCη is an anti-apoptotic kinase, able to confer protection on tumour cells against stress and chemotherapy. We have demonstrated that PKCη shuttles between the cytoplasm and the nucleus and that upon DNA damage is tethered at the nuclear membrane. The C1b domain mediates translocation of PKCη to the nuclear envelope and, similar to the full-length protein, could also confer protection against cell death. Furthermore, its localization in cell and nuclear membranes in breast cancer biopsies of neoadjuvant-treated breast cancer patients was an indicator for poor survival and a predictor for the effectiveness of treatment. PKCη is also a novel biomarker for poor prognosis in non-small-cell lung cancer (NSCLC). Thus PKCη presents a potential target for therapy where inhibition of its activity and/or translocation to membranes could interfere with the resistance to chemotherapy.

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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