The Combination of Systemic Immune-Inflammation Index and Serum Procalcitonin has High Auxiliary Predictive Value for Short-Term Adverse Prognosis in Septic Shock Patients.

BACKGROUND: Septic shock is the most serious complication of sepsis, with more secure and efficient biomarkers urgently needed. Systemic immune-inflammation index (SII) and serum procalcitonin (PCT) show involvement in predicting septic shock prognosis. OBJECTIVE: Herein, we explored the clinical value of the SII-PCT combination in the short-term prognosis of septic shock patients. METHODS: Totally 200 septic shock patients were analyzed retrospectively and allocated into the survival and death groups upon 28-day in-hospital outcomes. Correlations of SII, PCT, acute physiology and chronic health evaluation II (APACHE II)/sepsis-related organ failure assessment (SOFA) scores, C-reactive protein (CRP), and serum creatinine (Scr) were analyzed using Spearman. The influencing factors of SII and serum PCT for short-term poor prognosis were analyzed using logistic multivariate regression model. The auxiliary predictive value of SII, PCT, and their combination for short-term adverse septic shock prognosis was evaluated by the receiver operating characteristic curve. Differences in the area under the curve (AUC) were compared using MedCalc. RESULTS: The death group had higher APACHE II/SOFA scores, LYM, CRP, Scr, SII, and PCT levels than the survival group. SII and PCT were positively correlated with APACHE II and SOFA scores, LYM, CRP, and Scr, and were independent risk factors influencing the adverse septic shock prognosis. The AUC of the SII-PCT combination in predicting short-term adverse septic shock prognosis was 0.893 (0.841-0.932), with 76.12% sensitivity and 87.97% specificity, with the combination showing a higher AUC than SII/PCT alone. CONCLUSIONS: The SII-PCT combination helps predict the adverse prognosis of septic shock patients.

FUT11 expression in gastric cancer: its prognostic significance and role in immune regulation.

BACKGROUND: Gastric cancer (GC) is a malignant digestive tract tumor with a high recurrence rate and poor prognosis. Fucosylation is important in tumor glycosylation, in which the key enzyme is fucosyltransferase (FUT). FUT11 is a member of the fucosyltransferase family and has been closely associated with the development of multiple cancers. However, the specific relationship between FUT11 and GC prognosis and its molecular mechanism has not been fully studied. This study explored FUT11 expression, clinical correlation, and its role in GC occurrence and development to deepen understanding of its function. METHODS: FUT11 expression in 33 cancers was preliminarily analyzed using the Tumor Immunoassay Resource (TIMER2.0) database. FUT11 expression in GC was evaluated using The Cancer Genome Atlas stomach adenocarcinoma (TCGA-STAD) and Gene Expression Profiling Interactive Analysis (GEPIA2) data and verified using the Gene Expression Omnibus (GEO) GSE65801 dataset. Furthermore, we studied the survival prognosis of FUT11 in GC and analyzed its effect on the survival rate of patients with GC using the KM-plotter. We also performed COX regression analysis on TCGA GC clinical data and analyzed FUT11 expression in the pathway using the STRING and LinkedOmics databases. Moreover, the relationship between FUT11 and GC immune infiltration level was examined, and the Kaplan-Meier survival analysis diagram was constructed. The FUT11 genetic variation information was retrieved using cBioPortal, and its drug sensitivity was analyzed using CellMiner. Finally, differential FUT11 expression in GC tissues was verified using immunohistochemistry. RESULTS: The data mining and analysis demonstrated that FUT11 expression was abnormally elevated in GC tissues and correlated with poor patient prognosis. The FUT11 expression level was an independent prognostic factor for GC. The difference in FUT11 expression level resulted in different degrees of immune cell infiltration in the patients with GC, which might regulate the tumor microenvironment. FUT11 affected GC development by participating in cancer pathways such as PI3K-AKT, neuroactive ligand-receptor, and MAPK. Immunohistochemical staining revealed that FUT11 was highly expressed in GC. CONCLUSIONS: This study revealed that FUT11 expression is significantly increased in GC tissues. This increase is associated with poor prognosis and might affect immune regulation. FUT11 might have immunological and targeted therapeutic value, providing a new approach to GC treatment.

ITGA11, a Prognostic Factor Associated with Immunity in Gastric Adenocarcinoma.

Background: Stomach adenocarcinoma (STAD) presents a challenge given its advanced stage at diagnosis and poor prognosis. Integrin subunit alpha 11 (ITGA11) encodes alpha integrin and has been implicated in promoting tumorigenesis and development by participating in cell proliferation and invasion. However, the precise mechanism of ITGA11 in STAD remains unclear. Methods: The differences in ITGA11 expression levels between 375 gastric cancer samples and 32 paracancerous tissue samples from the Cancer Genome Atlas (TCGA) database were examined. The relationship between ITGA11 expression and clinical features and ITGA11 diagnostic and prognostic value were evaluated using the chi-square test and receiver operating characteristic (ROC) assay. Differentially expressed genes were identified based on ITGA11 expression. Subsequently, functional enrichment analyses were conducted using Gene Ontology, the Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis. Furthermore, immune infiltration and the expression of ITGA11-associated immune checkpoints in patients with tumors were assessed using CIBERSORT, single-sample gene set enrichment analysis, and the TIMER database. Drug sensitivity associated with ITGA11 expression was analyzed using the R oncoPredict package to guide treatment decisions. Finally, the difference in ITGA11 expression between cancer tissue and the adjacent tissues was validated using quantitative PCR (qPCR) and immunohistochemistry. Results: The gastric cancer tissue had significantly upregulated ITGA11 expression compared to paracancerous tissues. ITGA11 demonstrated robust diagnostic and prognostic value in gastric cancer (GC) and was an independent risk factor for adverse outcomes. The patients with STAD with elevated ITGA11 expression levels had heightened immune cell infiltration and increased immune checkpoint marker expression. Notably, patients with increased ITGA11 expression demonstrated reduced responsiveness to oxaliplatin and afatinib. Conclusion: The results indicated the pivotal role of ITGA11 in shaping the tumor immune microenvironment, ultimately establishing ITGA11 as an immune-related prognostic predictor within the intricate landscape of STAD.

Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network Approaches.

Subway operation safety management has become increasingly important due to the severe consequences of accidents and interruptions. As the causative factors and accidents exhibit a complex and dynamic interrelationship, the proposed subway operation accident causation network (SOACN) could represent the actual scenario in a better way. This study used the SOACN to explore subway operation safety risks and provide suggestions for promoting safety management. The SOACN model was built under 13 accident types, 29 causations and their 84 relationships based on the literature review, grounded theory and association rule analysis, respectively. Based on the network theory, topological features were obtained to showcase different roles of an accident or causation in the SOACN, including degree distribution, betweenness centrality, clustering coefficient, network diameter, and average path length. The SOACN exhibits both small-world network and scale-free features, implying that propagation in the SOACN is fast. Vulnerability evaluation was conducted under network efficiency, and its results indicated that safety management should focus more on fire accident and passenger falling off the rail. This study is beneficial for capturing the complex accident safety-risk-causation relationship in subway operations. It offers suggestions regarding safety-related decision optimization and measures for causation reduction and accident control with high efficiency.

Influencing Mechanism of Job Satisfaction on Safety Behavior of New Generation of Construction Workers Based on Chinese Context: The Mediating Roles of Work Engagement and Safety Knowledge Sharing.

China's construction industry developed rapidly and safety production has become a vital issue. Improving the safety behavior of construction workers is an important measure to effectively decrease construction safety accidents. At present, a New Generation of Construction Workers (NGCWs) born after 1980 has gradually become the main force of construction companies in China and the special group characteristics coming from the intergenerational difference may make them behave differently in safety-related activities, therefore, it is very important to study how to promote their safety behavior. This paper aimed to explore the influencing mechanism of job satisfaction on the safety behavior of NGCWs and examine the mediating role of safety knowledge sharing and work engagement. Confirmatory factor analysis and structural equation modeling analysis were applied to test the theoretical model. Empirical research results indicated that job satisfaction can effectively promote safety behavior through safety knowledge sharing and work engagement. Safety knowledge sharing plays a complete mediating role between job satisfaction and safety compliance behavior, as well as between job satisfaction and safety participation behavior. Moreover, work engagement plays a complete mediating role between job satisfaction and safety participation behavior, which can provide valuable management references for China's construction companies to strengthen their safety behavior.