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The emergence of immunotherapy has provided an option of treatment methods for bladder cancer (BC). However, the beneficiaries of immunotherapy are still limited to small‐scale patients, and immunotherapy‐related adverse events often occur. It is a major challenge for clinical work to study the immune subtypes of BC and the molecular mechanism of immune escape, and identify the immune responders accurately. Here, we explore the immune molecular subtypes of bladder cancer and potential escape mechanisms. First, we screened the expression profiles of 303 differentially expressed immune‐related genes in BC patients from the Cancer Genome Atlas (TCGA) database, and successfully identified 4 molecular subtypes of BC. By comparing the clinical characteristics, immune cells infiltration, the expression of checkpoint genes, human leukocyte antigen (HLA) genes, and gene mutation status of different subtypes, we identified different clinical and immunological characteristics of 4 subtypes. Among 4 subtypes, Cluster 2 met the general characteristics of immunotherapy responders and responded well to immunotherapy, while Cluster 4 had the highest expression of immune characteristics, and is similar to the immune environment of normal bladder tissue. Then, the weighted gene co‐expression network analysis (WGCNA) of immune‐related genes revealed that brown module was positively correlated with subtypes. Pathway enrichment analysis explored the major pathways associated with subtypes, which are also associated with immune escape mechanisms. Moreover, the decision tree model, which was constructed by the principle of random forest screening factors, was also validated in internal validation set and external validation set from the Gene Expression Omnibus (GEO) cohort (GSE133624), and could achieve accurate subtypes prediction for BC patients with high‐throughput sequencing. Taken together, we explored the immune molecular subtypes and their mechanisms of BC, and these results may provide guidance for the development of new BC immunotherapy strategies. [ABSTRACT FROM AUTHOR]

Muscle‐invasive bladder cancer (MIBC) is one of the common malignant tumors. Patients with MIBC still have high tumor recurrence and progression rates after surgery. Bioinformatics analysis of stromal infiltration‐related genes in the tumor microenvironment (TME) of MIBC patients was performed in this study to determine the major stromal cells types and biomarkers for their progression and poor prognosis. The ESTIMATE algorithm was applied to evaluate the stromal score and immune score of samples from MIBC patients in The Cancer Genome Atlas (TCGA) and found that stromal score was closely related to the clinical characteristics of the patients. The Gene Set Enrichment Analysis (GSEA) further revealed that stromal cells were involved in biological processes such as activation of leukocytes and positive regulation of cell migration during MIBC progression, as well as PI3K‐Akt, MAPK, and Rap1 signaling pathways. Five hub genes related to prognosis, including ACTA2, COL5A1, DCN, LUM, and PRRX1 were identified by the Weighted Gene Co‐Expression Network Analysis (WGCNA), Protein‐Protein Interaction (PPI), survival analysis, and Oncomine, Gene Expression Omnibus (GEO) database validation. Besides, we identified five stromal cell types associated with overall survival time, among which chondrocytes and fibroblasts were identified as the major stromal cell types through correlation analysis. Finally, the Receiver Operating Characteristic (ROC) curve and immunohistochemistry were used to verify the diagnostic value and expression of hub genes in different invasive tumors. In summary, we investigated the biological behavior of stromal cells in the TME of MIBC to promote tumor progression obtained hub genes associated with progression and poor prognosis and identified the main stromal cells types in the TME. [ABSTRACT FROM AUTHOR]

Background: The 2012 European Society of Intensive Care Medicine (ESICM) guidelines provided a clear definition of feeding intolerance (FI). The study aimed to investigate the association between FI based on the current ESICM definition and clinical outcome and to further explore the effect of the duration of FI on mortality.Methods: Adult patients from 14 general intensive care units (ICUs) with an expected ICU stay ≥24 hours were prospectively studied. Based on FI duration in the first week of admission to the ICU, FI was categorized as 7-day persistent feeding tolerance (FT), delayed FT, delayed FI, and 7-day persistent FI. The primary outcomes were 28-day and 60-day all-cause mortality.Results: Of 499 patients, the prevalence of 3-day and 7-day persistent FI was 39.2% (n = 196) and 25.4% (n = 106), respectively. The patients with 3-day FT had lower risk of 28-day and 60-day mortality rates and higher prevalence in ventilator weaning and vasoactive medication on the seventh day of ICU admission than those with 3-day FI. Three-day FI remained an independent predictor for 60-day mortality. In a subgroup analysis including 418 patients with 7-day survival, compared with those with 7-day persistent FT, the odds ratios of 60-day mortality were 1.67, 1.97, and 2.62 in the patients with delayed FT, delayed FI, and 7-day persistent FI, respectively.Conclusion: FI was associated with increased mortality and longer duration of mechanical ventilation and vasoactive support. Prolonged or relapsing FI represented an incremental risk of adverse outcomes in critically ill patients. [ABSTRACT FROM AUTHOR]

A very compact wireless local area network (WLAN) antenna is presented for the design of hand‐held mobile devices. The antenna does not need metal clearance underneath the antenna and it has very low profile. Both simulated and measured results show that the antennas with very small antenna volume and height can operate as a triple‐band WLAN antenna with good bandwidth and radiation efficiency. [ABSTRACT FROM AUTHOR]