The relationship between proangiogenic gene expression levels in prostate cancer and their prognostic value for clinical outcomes

The Prostate ◽  
2010 ◽  
Vol 70 (15) ◽  
pp. 1692-1700 ◽  
Author(s):  
Ryutaro Mori ◽  
Tanya B. Dorff ◽  
Shigang Xiong ◽  
Chad J. Tarabolous ◽  
Wei Ye ◽  
...  
2013 ◽  
Vol 200 (3) ◽  
pp. 727-742 ◽  
Author(s):  
Ilga Porth ◽  
Jaroslav Klápště ◽  
Oleksandr Skyba ◽  
Michael C. Friedmann ◽  
Jan Hannemann ◽  
...  

2009 ◽  
Vol 27 (1) ◽  
pp. 145-151 ◽  
Author(s):  
Xuecheng Bi ◽  
Huichan He ◽  
Yongkang Ye ◽  
Qishan Dai ◽  
Zhaodong Han ◽  
...  

2021 ◽  
Author(s):  
Lana Vasung ◽  
Chenying Zhao ◽  
Matthew Barkovich ◽  
Caitlin K Rollins ◽  
Jennings Zhang ◽  
...  

Abstract The relationship between structural changes of the cerebral cortex revealed by Magnetic Resonance Imaging (MRI) and gene expression in the human fetal brain has not been explored. In this study, we aimed to test the hypothesis that relative regional thickness (a measure of cortical evolving organization) of fetal cortical compartments (cortical plate [CP] and subplate [SP]) is associated with expression levels of genes with known cortical phenotype. Mean regional SP/CP thickness ratios across age measured on in utero MRI of 25 healthy fetuses (20–33 gestational weeks [GWs]) were correlated with publicly available regional gene expression levels (23–24 GW fetuses). Larger SP/CP thickness ratios (more pronounced cortical evolving organization) was found in perisylvian regions. Furthermore, we found a significant association between SP/CP thickness ratio and expression levels of the FLNA gene (mutated in periventricular heterotopia, congenital heart disease, and vascular malformations). Further work is needed to identify early MRI biomarkers of gene expression that lead to abnormal cortical development.


2020 ◽  
Vol 45 (5) ◽  
pp. 525-532
Author(s):  
Ahmed M. Wadaa Allah ◽  
Fatma F. Abdel Hamid ◽  
Ahmed F. Soliman ◽  
Noha Ibrahim ◽  
Ibrahim Malash ◽  
...  

AbstractBackgroundProstate cancer (PC) incidence has risen globally. As there are no current independent biomarkers with high diagnostic efficiency to detect PC, this study was performed to investigate the relative gene expression levels of E2F3 and survivin in the whole blood of PC, benign prostate hyperplasia (BPH), and normal control individuals and to explore their diagnostic value.Material and methodsParticipants of the study were divided into three groups; normal control group (n=25), BPH patients (n=25), and PC patients (n=75). The E2F3 and survivin gene expression levels were assessed using real-time qPCR in addition to the measurement of free and total levels of prostate-specific antigen (PSA) using electrochemiluminescence assays.ResultsSurvivin relative gene expression was over-expressed in PC and BPH patients compared to the normal control group, whereas, E2F3 did not differ significantly among the studied groups. Compared to PSA, E2F3 and survivin mRNA expression levels had lower diagnostic efficacy to differentiate PC from normal and BPH individuals with an area under curve (AUC) of 0.471 and 0.727, respectively. Further, survivin expression level was associated with increased the risk of PC.ConclusionSurvivin and E2F3 relative expression levels in peripheral blood had low diagnostic performance to detect PC and individuals with high survivin expression levels may have higher risk to develop PC.


Biomarkers ◽  
2008 ◽  
Vol 13 (7-8) ◽  
pp. 680-691 ◽  
Author(s):  
Christodoulos P. Pipinikas ◽  
Nicholas D. Carter ◽  
Catherine M. Corbishley ◽  
Christiane D. Fenske

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A532-A532
Author(s):  
Murat Korkmaz ◽  
Sibel Oguzkan Balci ◽  
Can Demirel ◽  
Ibrahim Yilmaz ◽  
Ersin Akarsu

Abstract In this study, it is aimed to investigate possible changes in cognitive functions in obesity by using targeted treatment hypothesis. Accordingly, the effects of DPP4 inhibitor, which is actively used in the clinic in the treatment of diabetes, and the effect of exercise, which has been proven to be effective in the treatment of obesity, on the change of learning performance and the relationship of these effects with the synaptophysin molecule were investigated. In our study, 42 Wistar albino rats were used. The animals were randomly divided into seven groups as obese, control, obese+DPP4i, control+DPP4i, obese+exercise, control+exercise, control+NaCl. To create experimental obesity, the animals that are targeted to be obese were separated and fed on a high fat diet for 8 weeks. After the obese model was created, sitagliptin was applied to the DPP4i groups and swimming exercise was applied to the exercise groups for obesity treatment. The last week of the study was performed reference memory learning test to the whole group with Morris water maze. Then, the hippocampus tissues were removed from the animals under anesthesia. mRNA and protein isolations were performed from the extracted tissues. Synaptophysin gene expressions were determined from mRNA samples by Real-Time PCR method. Synaptophysin protein levels were determined from protein lysates by Western Blot method. In the learning test, in the obese groups, there was a statistically significant difference between the average escape time of the DPP4i and exercise groups and the groups that did not (p<0.05). As a result, in groups where obesity is treated with DPP4i and exercise; It was concluded that cognitive performance was better than obese groups. There was a evident decrease in synaptophysin gene expression levels in obese groups compared to the control group. In the treatment groups, an increase was observed in synaptophysin gene expression levels in the DPP4 inhibitor and especially in the exercise groups compared to the control groups (P> 0.05). Gene expression results were similar in analyzes performed at the protein level. According to these results, in terms of performance in cognitive function due to obesity and synaptophysin gene relationship; DPP4 inhibitor showed as effective a result as exercise. This provides a resource for advanced molecular and metabolic research. Acknowledgement: This study was supported by The Scientific And Technological Research Council Of Turkey (TÜBİTAK) Project No. 219S063.


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