The factors impacting on Gleason score upgrading in prostate cancer with initial low Gleason scores.

BACKGROUND: This study aims to investigate the factors contributing to the discrepancy in between biopsy Gleason score (GS) and radical prostatectomy GS in patients diagnosed with prostate cancer. METHODS: 341 patients who underwent radical prostatectomy from 2011/04 to 2020/12 were identified. 102 Patients with initial GS of six after biopsy were enrolled. Preoperative clinical variables and pathological variables were also obtained and assessed. The optimal cut-off points for significant continuous variables were identified by the area under the receiver operating characteristic curve. RESULTS: Upgrading was observed in 63 patients and non-upgrading in 39 patients. In the multiple variables assessed, smaller prostate volume (PV) (p value = 0.0007), prostate specific antigen density (PSAD) (p value = 0.0055), positive surgical margins (p value = 0.0062) and pathological perineural invasion (p value = 0.0038) were significant predictors of GS upgrading. To further explore preclinical variables, a cut-off value for PV (≤ 38 ml, p value = 0.0017) and PSAD (≥ 0.26 ng/ml2, p value = 0.0013) were identified to be associated with GS upgrading. CONCLUSIONS: Smaller PV and elevated PSAD are associated with increased risk of GS upgrading, whereas lead-time bias is not. A cut-off value of PV < 38 ml and PSAD > 0.26 ng/ml2 were further identified to be associated with pathological GS upgrading.

Vitamin B Mitigates Thoracic Aortic Dilation in Marfan Syndrome Mice by Restoring the Canonical TGF-ß Pathway.

Thoracic aortic aneurysm (TAA) formation is a multifactorial process that results in diverse clinical manifestations and drug responses. Identifying the critical factors and their functions in Marfan syndrome (MFS) pathogenesis is important for exploring personalized medicine for MFS. Methylenetetrahydrofolate reductase (MTHFR), methionine synthase (MTR), and methionine synthase reductase (MTRR) polymorphisms have been correlated with TAA severity in MFS patients. However, the detailed relationship between the folate-methionine cycle and MFS pathogenesis remains unclear. Fbn1C1039G/+ mice were reported to be a disease model of MFS. To study the role of the folate-methionine cycle in MFS, Fbn1C1039G/+ mice were treated orally with methionine or vitamin B mixture (VITB), including vitamins B6, B9, and B12, for 20 weeks. VITB reduced the heart rate and circumference of the ascending aorta in Fbn1C1039G/+ mice. Our data showed that the Mtr and Smad4 genes were suppressed in Fbn1C1039G/+ mice, while VITB treatment restored the expression of these genes to normal levels. Additionally, VITB restored canonical transforming-growth factor ß (TGF-ß) signaling and promoted Loxl1-mediated collagen maturation in aortic media. This study provides a potential method to attenuate the pathogenesis of MFS that may have a synergistic effect with drug treatments for MFS patients.

Modular Neural Networks with Fully Convolutional Networks for Typhoon-Induced Short-Term Rainfall Predictions.

Taiwan is located at the edge of the northwestern Pacific Ocean and within a typhoon zone. After typhoons are generated, strong winds and heavy rains come to Taiwan and cause major natural disasters. This study employed fully convolutional networks (FCNs) to establish a forecast model for predicting the hourly rainfall data during the arrival of a typhoon. An FCN is an advanced technology that can be used to perform the deep learning of image recognition through semantic segmentation. FCNs deepen the neural net layers and perform upsampling on the feature map of the final convolution layer. This process enables FCN models to restore the size of the output results to that of the raw input image. In this manner, the classification of each raw pixel becomes feasible. The study data were radar echo images and ground station rainfall information for typhoon periods during 2013-2019 in southern Taiwan. Two model cases were designed. The ground rainfall image-based FCN (GRI_FCN) involved the use of the ground rain images to directly forecast the ground rainfall. The GRI combined with rain retrieval image-based modular convolutional neural network (GRI-RRI_MCNN) involved the use of radar echo images to determine the ground rainfall before the prediction of future ground rainfall. Moreover, the RMMLP, a conventional multilayer perceptron neural network, was used to a benchmark model. Forecast horizons varying from 1 to 6 h were evaluated. The results revealed that the GRI-RRI_MCNN model enabled a complete understanding of the future rainfall variation in southern Taiwan during typhoons and effectively improved the accuracy of rainfall forecasting during typhoons.

The association of echocardiographic parameters on renal outcomes in chronic kidney disease.

BACKGROUND: Patients with chronic kidney disease (CKD) often have structural abnormalities of the heart due to pressure and volume overload. The aim of this study was to evaluate associations between echocardiographic parameters and renal outcomes (estimated glomerular filtration rate [eGFR] slope and progression to dialysis) in patients with stage 3-5 CKD. METHODS: This longitudinal study enrolled 419 patients. Changes in renal function were assessed using the eGFR slope. Rapid renal progression was defined as an eGFR slope < -3 mL/min/1.73 m2/year, and the renal endpoint was defined as commencing dialysis. RESULTS: Increased left atrial diameter (LAD), ratio of left ventricular mass to body surface area (LVM/BSA), ratio of LVM to height2.7 (LVM/ht2.7), and ratio of observed to predicted LVM (o/p LVM) were associated with eGFR slope in an adjusted model, but left ventricular ejection fraction (LVEF) was not. Furthermore, LAD ≥ 4.7 cm, LVM/BSA > 115 g/m2 in males and > 95 g/m2 in females, and LVM/ht2.7 > 48 g/ht2.7 in males and > 44 g/ht2.7 in females were correlated with progression to dialysis, but o/p LVM and LVEF were not. The maximum change in χ2 change to predict renal outcomes was observed for LAD, followed by LVM/BSA and LVM/ht2.7. CONCLUSIONS: A large LAD and increased LVM, regardless of how it was measured (LVM/BSA, LVM/ht2.7 and o/p LVM), were correlated with adverse renal outcomes in patients with CKD stage 3-5. LAD had superior prognostic value to LVM and LVEF.