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Bladder cancer represents a highly heterogeneous disease characterized by distinct histological, molecular and clinical phenotypes, and a detailed analysis of tumor cell invasion and crosstalks within bladder tumor cells has not been determined. Here, we applied droplet-based single-cell RNA sequencing (scRNA-seq) to acquire transcriptional profiles of 36 619 single cells isolated from seven patients. Single cell transcriptional profiles matched well with the pathological basal/luminal subtypes. Notably, in T1 tumors diagnosed as luminal subtype, basal cells displayed characteristics of epithelial-mesenchymal transition (EMT) and mainly located at the tumor-stromal interface as well as micrometastases in the lamina propria. In one T3 tumor, muscle-invasive tumor showed significantly higher expression of cancer stem cell markers SOX9 and SOX2 than the primary tumor. We additionally analyzed communications between tumor cells and demonstrated its relevance to basal/luminal phenotypes. Overall, our single-cell study provides a deeper insight into the tumor cell heterogeneity associated with bladder cancer progression.

Notch signaling has been reported to play an essential role in tumorigenesis. Several studies have suggested that Notch receptors could be oncoproteins or tumor suppressors in different types of human cancers. Emerging evidence has suggested that Notch pathway regulates cell growth, apoptosis, cell cycle, and metastasis. In the current study, we explore whether Notch-1 could regulate the cell invasion and migration as well as EMT (epithelial-mesenchymal transition) in prostate cancer cells. We found that overexpression of Notch-1 enhanced cell migration and invasion in PC-3 cells. However, downregulation of Notch-1 retarded cell migration and invasion in prostate cancer cells. Importantly, we observed that overexpression of Notch-1 led to EMT in PC-3 cells. Notably, we found that EMT-type cells are associated with EMT markers change and cancer stem cell phenotype. Taken together, we concluded that downregulation of Notch-1 could be a promising approach for inhibition of invasion in prostate cancer cells, which could be useful for the treatment of metastatic prostate cancer.

Bladder cancer (BC) is one of the most commonly occurring cancers, with a high recurrence rate and poor outcomes in cases of relapsed metastatic disease. Here, we analyzed the markers and significance of myeloid-derived suppressor cells (MDSCs) for BC development and progression. MDSC markers were examined in peripheral blood from 113 BC patients and 20 healthy volunteers. We identified CD11b+CD33lowHLA-DR- CD3- cells as markers of MDSCs in peripheral blood from BC patients. We also demonstrated that MDSC numbers are higher in BC patients than healthy donors, and that MDSC numbers correlate with the clinical grade, stage, and poor prognosis. In addition, serum IL-6 levels are decreased in BC patients with higher MDSC counts. IL-6 blockade increases induction of MDSCs in vitro. Low IL-6 levels inhibit activation of Stat3, resulting in the increased formation of MDSCs in BC. These results indicate that the MDSCs numbers may serve as a novel prognostic marker in BC patients, and that targeting IL-6 signaling may be a promising strategy for BC treatment.

To analyze the spatial and temporal variation characteristics of PM

This study employed air quality and meteorological data as research materials and extracted the optimal feature subset by using the approximate Markov blanket-based normal maximum relevance minimum redundancy (nMRMR) algorithm to serve as the input data of the prediction model. In addition, a hybrid kernel (HK) was created to improve upon the traditional support vector regression (SVR) model. Particle swarm optimization (PSO) was used to calculate the optimal parameters of hybrid kernel (HK) SVR, which were then used to establish the nMRMR-PSO-HK-SVR model for PM2.5 concentration prediction. The 2016–2019 year air quality and weather data of Wuhan and Tianjin were employed to test the proposed method. The experimental results show that the mean absolute error (MAE), mean absolute percentage error (MAPE), root mean square error (RMSE) and Theil’s inequality coefficient (TIC) of nMRMR-PSO-HK-SVR model are lower than those of SVR, PSO-SVR, nMRMR-SVR and PSO-HK-SVR model. But also, the proposed model could more precisely track moments of sudden PM2.5 concentration change. Thus, the nMRMR-PSO-HK-SVR model has more satisfactory generalizability and can predict PM2.5 concentration more precisely.

Macrophages are a major cell type that can infiltrate solid tumors and exhibit distinct phenotypes in different tumor microenvironments. This study investigates the prognostic value of tumor-infiltrated CD163+ macrophages in patients with T1 high-grade (T1HG) bladder cancer. CD163+ macrophages were assessed by immunohistochemistry in 94 T1HG bladder cancer samples. Kaplan–Meier analyses and Cox proportional hazards’ regression models were applied to evaluate recurrence-free survival, progression-free survival and disease-specific survival. With a median follow-up of 60 months, 37 (39.4%) patients experienced disease recurrence, 14 (14.9%) progression, 11 (11.7%) disease-specific mortality. High CD163+ macrophages were associated with higher risk of disease recurrence and progression (P

Bladder cancer (BC) has become a serious health prob-lem and represents the second most commonly diagnosed urological tumor. Curcumin is a principal active natural component of turmeric and has long been used in Asia as a traditional herbal medicine. Curcumin suppresses cell growth in various types of cancer, including BC, by regulating numerous molecular signaling pathways. The human trophoblast cell surface antigen 2 (Trop2) belongs to the tumor-associated calcium signal transducer gene family. Trop2 has been described as a cancer driver and is deregulated in various types of cancer. However, whether Trop2 is involved in curcumin-induced BC cell inhibition remains to be elucidated. The present study hypothesized that Trop2 may be a promising target of curcumin in BC cells. It was found that Trop2 was closely involved in curcumin-induced cell proliferation suppression, mobility inhibition, apoptosis, and cell cycle arrest in BC cells. Curcumin decreased the expression of Trop2 and its downstream target cyclin E1, and increased the level of p27. The overexpression of Trop2 enhanced the oncogenic activity of BC cells, whereas downregulation of the expression of Trop2 suppressed cell proliferation and mobility, increased apoptosis, and sensitized BC cells to curcumin treatment. Therefore, Trop2 may be a promising target of curcumin in BC cells and the inhibition of Trop2 may be an important method for the therapeutic management of patients with BC.

It remains unclear whether the immunologic status of cells in peripheral blood can be used as a prognostic indicator of response to treatment for patients with neoadjuvant chemotherapy (NAC). This study sought to evaluate whether the proportion of granulocytic myeloid-derived suppressor cells (G-MDSCs) and monocytic myeloid-derived suppressor cells could correlate with pathologic response in bladder cancer patients receiving NAC.Pretreatment peripheral blood levels of G-MDSCs and monocytic myeloid-derived suppressor cells were measured by flow cytometry. We divided patients into high and low (above and below the median, respectively) groups based on the median value for each immune cell subset and compared outcomes of the two groups.A significant pathological response (pT0-1) was attained in 13% (6 of 45) of patients with high G-MDSCs compared with 58% (26 of 45) of patients with low G-MDSCs (P 0.001). Patients with high G-MDSCs had significantly shorter disease specific survival and progression-free survival (both P 0.001). In the multivariate analysis for survival, high G-MDSCs and pathological response emerged as independent prognostic factor for progression-free survival (P 0.001 and P = 0.017) and disease-specific survival (P 0.001 and P = 0.014).Pretreatment peripheral G-MDSCs may represent a potential marker for the outcome of patients treated with cisplatin-based NAC.

Background Management of high-grade T1 (formerly T1G3) bladder cancer continues to be controversial. Should patients with T1G3 bladder cancer have an immediate radical cystectomy or should they receive intravesical bacillus Calmette-Guerin–preserving bladder? Gemcitabine and cisplatin (GC) adjuvant chemotherapy may help to strike a balance between intravesical and early cystectomy. For purposes of this study, we continue to refer high-grade T1 lesion as “T1G3.” Objective To evaluate the characteristics and the long-term outcome of GC adjuvant chemotherapy in T1G3 bladder cancer after transurethral resection of bladder tumor (TURBT). Materials and methods We retrospectively reviewed 48 patients who were newly diagnosed with T1G3 bladder cancer between January 2009 and December 2012. A total of 48 patients received 4 cycles of GC adjuvant chemotherapy after TURBT. One month after 4 cycles of GC adjuvant chemotherapy, response was evaluated by re-TURBT. Median follow-up was 59.5 (range: 18–70) months, all patients have been observed for more than 3 years. Salvage cystectomy was recommended for patients with persistent disease and for tumor progression after initial complete response. Result Complete response was achieved in 44 (91.7%) patients. Of complete responders, 5 patients experienced recurrence and 5 patients showed progression. The progression rate and disease-specific survival rate were 10.4% and 91.7% at 3 years, respectively. More than 80% of survivors preserved their bladder. Kaplan-Meier curves showed that concomitant carcinoma in situ (CIS) was the only factor that had an influence on progression-free survival ( P = 0.022) and disease-specific survival ( P = 0.017). Concomitant CIS was the prognostic factor for progression rate and disease-specific survival rate at 3 years ( P = 0.008 and P = 0.035). Conclusion GC adjuvant chemotherapy is a safe conservative treatment for T1G3 bladder cancer, but effective is really a phase II study. Patients with T1G3 bladder cancer with concomitant CIS should be treated more aggressively because of the high risk of progression.

Purpose To examine HMGA2 expression and investigate its clinical and prognostic significance in human urothelial bladder cancer (BUC). Methods We detected HMGA2 mRNA and protein expression by quantitative reverse-transcription polymerase chain reaction and western blotting, respectively in 44 frozen bladder cancer tissues and 18 adjacent normal bladder tissues. HMGA2 protein expression was assessed by immunohistochemical analysis of 148 paraffin-embedded specimens of human BUC and 30 specimens of adjacent normal bladder tissue. Correlations between HMGA2 and clinicopathologic features and prognosis were tested by statistical analyses. Results HMGA2 mRNA and protein levels in bladder cancer samples were significantly increased compared with adjacent normal bladder tissues ( P P P = 0.002 respectively). HMGA2 protein expression was negative in all normal urothelial tissue samples, but positive in 52% (77/148) of bladder cancers ( P P P = 0.003 respectively), Overexpression of HMGA2 protein in non-muscle-invasive bladder cancer was significantly associated with shorter recurrence-free survival ( P P = 0.0004). Multivariate analysis showed that HMGA2 expression was an independent prognostic factor for both tumor recurrence ( P P = 0.006). Conclusions HMGA2 is up-regulated in bladder cancer at both the transcriptional and translational levels compared with normal bladder tissue, HMGA2 protein is thus a potential prognostic marker for predicting tumor recurrence and progression.

It is increasingly clear that microRNAs (miRNAs) play an important role in many diseases, including tumorigenesis. However, the mechanisms by which miRNAs regulate bladder cancer development remain poorly understood. Here, we evaluated the expression of microRNA-203 (miR-203) in bladder cancer tissues using real-time PCR, and defined the target genes and biologically functional effect using luciferase reporter assay, flow cytometry and western blot analysis. We first verified that the expression of miR-203 was decreased in bladder cancer tissues. Moreover, ectopic expression of miR-203 promoted the apoptosis of human bladder cancer cell lines and inhibited cell proliferation, whereas its depletion increased cell growth. We further verified that miR-203 directly targeted 3′-untranslated region of the bcl-w gene, and decreased its expression in vitro and in vivo. Western blot analysis also showed that the expression level of miR-203 was negatively correlated with bcl-w level in tumor tissues. These data suggest an important role for miR-203 in the molecular etiology of bladder cancer and implicate the potential application of miR-203 in bladder cancer therapy.

Background— The central venous pressure (CVP) is essential for assessing the cardiac preload and circulating blood volume in clinic. The invasive CVP measurement by central venous catheter has been reported with various complications. The aim of this study was to develop a new noninvasive method for quantification of CVP by ultrasound. Methods and Results— Seventy-six patients who had their CVP monitored for intraoperative or postoperative management were recruited. By accurate location of the collapse point of the internal jugular vein and the center of the right atrium using ultrasound imaging, the height of the fluid column between those 2 points was measured as the noninvasive CVP (CVPn). A total of 118 measurements were performed and compared with the invasive CVP (CVPi). Linear correlation analysis revealed a significant correlation between CVPi and CVPn (preoperative measurements, r =0.90; P r =0.93; P Conclusions— The new noninvasive CVP quantification method based on the location of both the collapse point of internal jugular vein and the center of right atrium by ultrasound could be used as a reliable approach for monitoring the hemodynamic status in clinic.

The reaction mechanisms of HNCS with NH(X3Σ) were theoretically investigated. The minimum energy paths (MEP) of the reaction were calculated by using the density functional theory(DFT) at the B3LYP/6–311 ++ G** level. The equilibrium structural parameters, the harmonic vibrational frequencies, the total energies, and the zero-point energies (ZPE) of all the species were calculated. The single-point energies along the MEP were further refined at the QCISD(T)/6–311 ++G** level. It was found that the mechanisms of the HNCS + NH(X3Σ) reaction involve two channels producing the HNC + HNS and the N2H2 + CS products. Channel 1 plays a dominant role and the HNC + HNS are the main products. The reaction is exothermic.

In order to overcoming the shortcoming of single threshold synchrosqueezed wavelet transform(SWT) denoising method, an adaptive hierarchical threshold SWT chaotic signal denoising method is proposed. Firstly, a new SWT threshold function is constructed based on Stein unbiased risk estimation, which is two order continuous derivable. Then, by using of the new threshold function, a threshold process based on the minimum mean square error was implemented, and the optimal estimation value of each layer threshold in SWT chaotic denoising is obtained. The experimental results of the simulating chaotic signal and measured sunspot signals show that, the proposed method can filter the noise of chaotic signal well, and the intrinsic chaotic characteristic of the original signal can be recovered very well. Compared with the EEMD denoising method and the single threshold SWT denoising method, the proposed method can obtain better denoising result for the chaotic signal.

Astrocyte elevated gene-1 (AEG-1), a novel oncoprotein, has been implicated in oncogenesis and cancer progression in various types of human cancers. Here, immunohistochemistry was used to detect AEG-1 expression in nonmuscle-invasive bladder cancer (NMIBC), and these data were examined for correlation with clinicopathological parameters, and prognosis. Immunohistochemical analysis revealed that AEG-1 expression was significantly higher in bladder cancer tissues than that in normal tissues. High expression of AEG-1 was found in 45 % of bladder cancers and significantly associated with tumor grade (P = 0.002) and progression (P = 0.028). The Kaplan-Meier survival analysis demonstrated that AEG-1 expression was significantly associated with shorter progression-free survival (P = 0.0011). Multivariate analysis further demonstrated that AEG-1 was an independent prognostic factor for patients with BC. AEG-1 protein may contribute to the malignant progression of bladder cancer, and present as a novel marker to predict the progression of NMIBC.

Objectives This research aims to specify the prognostic value of P-cadherin on recurrence and progression in non-muscle-invasive bladder cancers (NMIBC). Methods A total of 110 NMIBC cases were collected and P-cadherin protein was assessed by immunohistochemical test in these samples. Correlations between P-cadherin expression and clinicopathologic features were analyzed. For recurrence-free and progression-free survival, Kaplan–Meier log-rank test was used. Then Cox univariate and multivariate analyses were further performed. Results P-cadherin high expression correlated with tumor progression (P = 0.031). Kaplan–Meier results showed that patients with high P-cadherin expression had worse progression-free survival (P = 0.034) but not recurrence-free survival (P = 0.133) than low-expression patients. Cox regression results showed P-cadherin expression was an independent predictor for progression (P = 0.042) but not recurrence (P = 0.139) in NMIBC. Conclusions Our results demonstrated that P-cadherin expression correlated with tumor progression and could be taken as an independent predictor for progression in NMIBC.

Background and Objective High-mobility group box 1 (HMGB1) is a versatile protein with intranuclear and extracellular functions that is involved in numerous biological and pathological processes, such as transcription, DNA repair, and response to infection and inflammation. HMGB1 overexpression has been reported in a variety of human cancers. However, the clinical significance of HMGB1 expression in bladder cancer (BC) remains unclear. This study is aimed to investigate the correlations between HMGB1 expression and prognosis in patients with BC. Methods HMGB1 protein expression in 164 primary BC tissue specimens was analyzed by immunohistochemistry, and its association with clinicopathologic factors and prognosis was also analyzed. Results HMGB1 protein had high expression in 87 of 164 cases of BC (53%). HMGB1 overexpression was significantly associated with tumor grade (P

Ubiquitin-like with PHD and ring finger domains 1 (UHRF1) is a novel anti-apoptotic gene, and overexpression of UHRF1 is involved in tumorigenicity. Here, immunohistochemistry was used to detect UHRF1 expression in non-muscle-invasive bladder cancer (NMIBC), and these data were examined for correlation with clinicopathological parameters and prognosis. The UHRF1 expression rate was 49.2% in a total of 118 bladder cancer tissues, which was significantly higher than in normal tissues, and UHRF1 expression has a significantly positive correlation with tumor grade (P = 0.027) and recurrence (P = 0.013). Survival analysis showed that UHRF1 high expression patients’ mean survival time (42.59 months) was significantly shorter than that (71.36 months) of UHRF1 low expression patients (P = 0.0002). Multivariate analysis showed that UHRF1 overexpression was an independent prognostic factor for tumor recurrence (P

To implement malfunction simulation in spaceflight training simulator.The principle of malfunction simulation was defined according to spacecraft malfunction predict and its countermeasures. The malfunction patterns were classified, and malfunction type was confirmed. A malfunction simulation model was established, and the malfunction simulation was realized by math simulation.According to the requirement of astronaut training, a spacecraft subsystem malfunction simulation model was established and realized, such as environment control and life support, GNC, push, power supply, heat control, data management, measure control and communication, structure and so on.The malfunction simulation function implemented in the spaceflight training simulator satisfied the requirements for astronaut training.

Recently machine learning-based intrusion detection approaches have been subjected to extensive researches because they can detect both misuse and anomaly. In this paper, rough set classification (RSC), a modern learning algorithm, is used to rank the features extracted for detecting intrusions and generate intrusion detection models. Feature ranking is a very critical step when building the model. RSC performs feature ranking before generating rules, and converts the feature ranking to minimal hitting set problem addressed by using genetic algorithm (GA). This is done in classical approaches using Support Vector Machine (SVM) by executing many iterations, each of which removes one useless feature. Compared with those methods, our method can avoid many iterations. In addition, a hybrid genetic algorithm is proposed to increase the convergence speed and decrease the training time of RSC. The models generated by RSC take the form of “IF-THEN” rules, which have the advantage of explication. Tests and comparison of RSC with SVM on DARPA benchmark data showed that for Probe and DoS attacks both RSC and SVM yielded highly accurate results (greater than 99% accuracy on testing set).