scholarly journals Decision letter: AR phosphorylation and CHK2 kinase activity regulates IR-stabilized AR–CHK2 interaction and prostate cancer survival

2019 ◽  
Author(s):  
Wilbert Zwart ◽  
Kavita Shah
eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Huy Q Ta ◽  
Natalia Dworak ◽  
Melissa L Ivey ◽  
Devin G Roller ◽  
Daniel Gioeli

We have previously demonstrated that checkpoint kinase 2 (CHK2) is a critical negative regulator of androgen receptor (AR) transcriptional activity, prostate cancer (PCa) cell growth, and androgen sensitivity. We have now uncovered that the AR directly interacts with CHK2 and ionizing radiation (IR) increases this interaction. This IR-induced increase in AR–CHK2 interactions requires AR phosphorylation and CHK2 kinase activity. PCa associated CHK2 mutants with impaired kinase activity reduced IR-induced AR–CHK2 interactions. The destabilization of AR – CHK2 interactions induced by CHK2 variants impairs CHK2 negative regulation of cell growth. CHK2 depletion increases transcription of DNAPK and RAD54, increases clonogenic survival, and increases resolution of DNA double strand breaks. The data support a model where CHK2 sequesters the AR through direct binding decreasing AR transcription and suppressing PCa cell growth. CHK2 mutation or loss of expression thereby leads to increased AR transcriptional activity and survival in response to DNA damage.


2019 ◽  
Author(s):  
Huy Q Ta ◽  
Natalia Dworak ◽  
Melissa L Ivey ◽  
Devin G. Roller ◽  
Daniel Gioeli

ABSTRACTWe have previously demonstrated that checkpoint kinase 2 (CHK2) is a critical negative regulator of androgen receptor (AR) transcriptional activity, prostate cancer (PCa) cell growth, and androgen sensitivity. We have now uncovered that the AR directly interacts with CHK2 and ionizing radiation (IR) increases this interaction. This IR-induced increase in AR–CHK2 interactions requires AR phosphorylation and CHK2 kinase activity. PCa associated CHK2 mutants with impaired kinase activity reduced IR-induced AR–CHK2 interactions. The destabilization of AR–CHK2 interactions induced by CHK2 variants impairs CHK2 negative regulation of cell growth. CHK2 depletion increases transcription of DNAPK and RAD54, increases clonogenic survival, and increases resolution of DNA double strand breaks. The data support a model where CHK2 sequesters the AR through direct binding decreasing AR transcription and suppressing PCa cell growth. CHK2 mutation or loss of expression thereby leads to increased AR transcriptional activity and survival in response to DNA damage.


2017 ◽  
Vol 16 (3) ◽  
pp. 2431-2438 ◽  
Author(s):  
Ya-Qiang Huang ◽  
Xiao-Hui Ling ◽  
Run-Qiang Yuan ◽  
Zhi-Yun Chen ◽  
Sheng-Bang Yang ◽  
...  

2014 ◽  
Vol 179 (1) ◽  
pp. 81-84 ◽  
Author(s):  
Tatyana Der ◽  
Beth A. Bailey ◽  
Dima Youssef ◽  
Todd Manning ◽  
William B. Grant ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Bo Wang ◽  
Jing Zhang

Long noncoding RNAs (lncRNAs) have an important role in various life processes of the body, especially cancer. The analysis of disease prognosis is ignored in current prediction on lncRNA–disease associations. In this study, a multiple linear regression model was constructed for lncRNA–disease association prediction based on clinical prognosis data (MlrLDAcp), which integrated the cancer data of clinical prognosis and the expression quantity of lncRNA transcript. MlrLDAcp could realize not only cancer survival prediction but also lncRNA–disease association prediction. Ultimately, 60 lncRNAs most closely related to prostate cancer survival were selected from 481 alternative lncRNAs. Then, the multiple linear regression relationship between the prognosis survival of 176 patients with prostate cancer and 60 lncRNAs was also given. Compared with previous studies, MlrLDAcp had a predominant survival predictive ability and could effectively predict lncRNA–disease associations. MlrLDAcp had an area under the curve (AUC) value of 0.875 for survival prediction and an AUC value of 0.872 for lncRNA–disease association prediction. It could be an effective biological method for biomedical research.


2009 ◽  
Vol 90 (3) ◽  
pp. 561-569 ◽  
Author(s):  
Julie L Kasperzyk ◽  
Katja Fall ◽  
Lorelei A Mucci ◽  
Niclas Håkansson ◽  
Alicja Wolk ◽  
...  

Author(s):  
Yin Cao ◽  
Sara Lindström ◽  
Fredrick Schumacher ◽  
Victoria L. Stevens ◽  
Demetrius Albanes ◽  
...  

Pained ◽  
2020 ◽  
pp. 245-246
Author(s):  
Michael D. Stein ◽  
Sandro Galea

This chapter discusses how the 5-year survival rates for the most common cancers in the United States improved by nearly 20% since the 1970s. While promising overall, low survival rates persist for pancreatic, liver, lung, esophageal, brain, and many other cancers. Meanwhile, 5-year survival for uterine and cervical cancers worsened. Pancreatic cancer has the lowest 5-year survival rate at 8.2%. In contrast, prostate cancer had the greatest 5-year survival increase from 67.8% to 98.6%, most likely reflecting a substantial uptick in prostate cancer screening and early detection. Five-year survival with leukemia also improved significantly, from 34.2% to 60.6%, likely resulting from improved treatments. As such, in both detection and treatment, the United States is making progress. For the millions of Americans who face a cancer diagnosis, this is cause for hope.


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