It has been reported that compared with no local therapy (NLT), patients treated with local therapy (LT) using radiotherapy (RT) possess higher survival rate in metastatic prostate cancer (mPCa). The aim of this meta-analysis was to evaluate the impact of RT on prognosis in patients with mPCa.
We retrieved the literature in PubMed, Embase, and Cochrane Library databases until June 2019 using structured search terms. Several studies were included, which evaluated patients with mPCa who received RT versus NLT.
A total of 14,542 patients were analyzed in 7 included papers (2 randomized controlled trials [RCTs] and 5 cohort retrospective studies [CRS]), and 2,232 mPCa patients were treated with RT and 12,310 with NLT. The data of RCTs and CRS were analyzed separately. In RCTs, RT was associated with no significant difference in overall survival (OS) (pooled hazard ratio [HR] = 0.96; 95% confidence interval [CI] 0.85-1.09; p = 0.55; I2 = 42%) relative to NLT, while survival benefit was observed in the low-mebeneficial for low-metastatic burden patients and better condition patients. https://www.selleckchem.com/products/eprosartan-mesylate.html More prospective and randomized studies evaluating RT for mPCa are warranted.
The complexity of chromatin (i.e., irregular geometry and distribution) is one of the important factors considered in the cytological diagnosis of cancer. Fractal analysis with Kirsch edge detection is a known technique to detect irregular geometry and distribution in an image. We examined the outer cutoff value for the box-counting (BC) method for fractal analysis of the complexity of chromatin using Kirsch edge detection.
The following images were used for the analysis (1) image of the nucleus for Kirsch edge detection measuring 97 × 122 pix (10.7 × 13.4 μm) with a Feret diameter of chromatin mesh (n = 50) measuring 17.3 ± 1.8 pix (1.9 ± 0.5 μm) and chromatin network distance (n = 50) measuring 4.4 ± 1.6 pix (0.49 ± 0.18 μm), and (2) sample images for Kirsch edge detection with varying diameters (10.4, 15.9, and 18.1 μm) and network width of 0.4 μm.
Three types of bias that can affect the outcomes of fractal analysis in cytological diagnosis were defined. (1) Nuclear position bias images of 9 differennificant difference between the position and rotation bias (p = 0.19). Our study suggests that the BC method with the outer cutoff value of 32 pix is suitable for the analysis of the complexity of chromatin with chromatin mesh.
The BC method with the outer cutoff value of 32 pix resulted in the least variation of fractal dimension. Specifically, with the cutoff value of 32 pix, the CV of nuclear position bias, nuclear rotation bias, and nuclear size bias were less then 1% (0.1, 0.4, and 0.3%, respectively), with no significant difference between the position and rotation bias (p = 0.19). Our study suggests that the BC method with the outer cutoff value of 32 pix is suitable for the analysis of the complexity of chromatin with chromatin mesh.
There are few contemporary epidemiological data on stroke for Central Europe. We performed a population-based study evaluating the incidence of stroke, stroke types, and ischemic stroke (IS) subtypes in Brno, the second biggest city in the Czech Republic (CR).
Using the National Registry of Hospitalized Patients, and hospital databases, we identified all patients hospitalized with a stroke diagnosis in Brno hospitals in 2011. For Brno residents with validated stroke diagnosis, we calculated (a) the overall incidence of hospitalized stroke, (b) incidence rates for IS, subarachnoid hemorrhage (SAH) and intracerebral hemorrhage (ICH), and (c) incidence rates for IS subtypes. We calculated the average annual age- and sex-standardized incidence (European Standard Population and World Health Organization), to compare our results with other studies.
The overall crude incidence of stroke in Brno was 213/100,000 population. The incidence of stroke for stroke types were as follows SAH, 6.9; ICH, 26.4; and IS, 180 cases per 100,000 population, respectively. The WHO-standardized annual stroke incidence was 107 for all strokes and 88 for IS, 14.4 for ICH, and 5 for SAH. For IS subtypes, the WHO-standardized incidence was large artery atherosclerosis 25.8, cardioembolism 27.8, lacunar 21.6, other determined etiology 6.2, and undetermined etiology 6.5 cases per 100,000 population.
The stroke incidence is lower than that previously reported for the CR and Eastern Europe probably reflecting socioeconomic changes in post-communistic countries in the region. These findings could contribute to stroke prevention strategies and influence health policies.
The stroke incidence is lower than that previously reported for the CR and Eastern Europe probably reflecting socioeconomic changes in post-communistic countries in the region. These findings could contribute to stroke prevention strategies and influence health policies.
Obesity results from an imbalance in the intake and expenditure of calories that leads to lifestyle-related diseases. Although genome-wide association studies (GWAS) have revealed many obesity-related genetic factors, the interactions of these factors and calorie intake remain unknown. This study aimed to investigate interactions between calorie intake and the polygenic risk score (PRS) of BMI.
Three cohorts, i.e., from the Korea Association REsource (KARE; n = 8,736), CArdioVAscular Disease Association Study (CAVAS; n = 9,334), and Health EXAminee (HEXA; n = 28,445), were used for this study. BMI-related genetic loci were selected from previous GWAS. Two scores, PRS, and association (a)PRS, were used; the former was determined from 193 single-nucleotide polymorphisms (SNPs) from 5 GWAS datasets, and the latter from 62 SNPs (potentially associated) from 3 Korean cohorts (meta-analysis, p < 0.01).
PRS and aPRS were significantly associated with BMI in all 3 cohorts but did not exhibit a significant interaction with total calorie intake. Similar results were obtained for obesity. PRS and aPRS were significantly associated with obesity but did not show a significant interaction with total calorie intake. We further analyzed the interaction with protein, fat, and carbohydrate intake. The results were similar to those for total calorie intake, with PRS and aPRS found to not be associated with the interaction of any of the 3 nutrition components for either BMI or obesity.
The interaction of BMI PRS with calorie intake was investigated in 3 independent Korean cohorts (total n = 35,094) and no interactions were found between PRS and calorie intake for obesity.
The interaction of BMI PRS with calorie intake was investigated in 3 independent Korean cohorts (total n = 35,094) and no interactions were found between PRS and calorie intake for obesity.