Induction of thermal and chemical stability of O6-methylguanine-DNA methyltransferase by Ca2+

2002 ◽  
Vol 1599 (1-2) ◽  
pp. 36-44 ◽  
Author(s):  
Tae Jun Park ◽  
Woon Ki Paik ◽  
In Kyoung Lim
2016 ◽  
Vol 16 (6) ◽  
pp. 455-464 ◽  
Author(s):  
Kalkunte S. Srivenugopal ◽  
Amit Rawat ◽  
Suryakant K. Niture ◽  
Ameya Paranjpe ◽  
Chinavenmani Velu ◽  
...  

2016 ◽  
Vol 13 (1) ◽  
pp. 28-39 ◽  
Author(s):  
Patrick-Denis St-Coeur ◽  
Marc Cormier ◽  
Veronique LeBlanc ◽  
Pier Morin ◽  
Mohamed Touaibia

1990 ◽  
Vol 265 (25) ◽  
pp. 14754-14762
Author(s):  
G. Koike ◽  
H. Maki ◽  
H. Takeya ◽  
H. Hayakawa ◽  
M. Sekiguchi

2021 ◽  
Vol 22 (13) ◽  
pp. 7039
Author(s):  
Wojciech Jelski ◽  
Barbara Mroczko

Brain tumors are the most common malignant primary intracranial tumors of the central nervous system. They are often recognized too late for successful therapy. Minimally invasive methods are needed to establish a diagnosis or monitor the response to treatment of CNS tumors. Brain tumors release molecular information into the circulation. Liquid biopsies collect and analyze tumor components in body fluids, and there is an increasing interest in the investigation of liquid biopsies as a substitute for tumor tissue. Tumor-derived biomarkers include nucleic acids, proteins, and tumor-derived extracellular vesicles that accumulate in blood or cerebrospinal fluid. In recent years, circulating tumor cells have also been identified in the blood of glioblastoma patients. In this review of the literature, the authors highlight the significance, regulation, and prevalence of molecular biomarkers such as O6-methylguanine-DNA methyltransferase, epidermal growth factor receptor, and isocitrate dehydrogenase. Herein, we critically review the available literature on plasma circulating tumor cells (CTCs), cell-free tumors (ctDNAs), circulating cell-free microRNAs (cfmiRNAs), and circulating extracellular vesicles (EVs) for the diagnosis and monitoring of brain tumor. Currently available markers have significant limitations.While much research has been conductedon these markers, there is still a significant amount that we do not yet understand, which may account for some conflicting reports in the literature.


2021 ◽  
Vol 7 (2) ◽  
pp. 17
Author(s):  
Michael Baine ◽  
Justin Burr ◽  
Qian Du ◽  
Chi Zhang ◽  
Xiaoying Liang ◽  
...  

Glioblastoma (GBM) is the most common adult glioma. Differentiating post-treatment effects such as pseudoprogression from true progression is paramount for treatment. Radiomics has been shown to predict overall survival and MGMT (methylguanine-DNA methyltransferase) promoter status in those with GBM. A potential application of radiomics is predicting pseudoprogression on pre-radiotherapy (RT) scans for patients with GBM. A retrospective review was performed with radiomic data analyzed using pre-RT MRI scans. Pseudoprogression was defined as post-treatment findings on imaging that resolved with steroids or spontaneously on subsequent imaging. Of the 72 patients identified for the study, 35 were able to be assessed for pseudoprogression, and 8 (22.9%) had pseudoprogression. A total of 841 radiomic features were examined along with clinical features. Receiver operating characteristic (ROC) analyses were performed to determine the AUC (area under ROC curve) of models of clinical features, radiomic features, and combining clinical and radiomic features. Two radiomic features were identified to be the optimal model combination. The ROC analysis found that the predictive ability of this combination was higher than using clinical features alone (mean AUC: 0.82 vs. 0.62). Additionally, combining the radiomic features with clinical factors did not improve predictive ability. Our results indicate that radiomics is potentially capable of predicting future development of pseudoprogression in patients with GBM using pre-RT MRIs.


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