Background. Gastric cancer (GC), an extremely aggressive tumor with a very different prognosis, is the third leading cause of cancer-related mortality. We aimed to construct a ferroptosis-related prognostic model that can be distinguished prognostically. Methods. The gene expression and the clinical data of GC patients were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus database (GEO). The ferroptosis-related genes were obtained from the FerrDb. Using the “limma” R package and univariate Cox analysis, ferroptosis-related genes with differential expression and prognostic value were identified in the TCGA cohort. Last absolute shrinkage and selection operator (LASSO) Cox regression was applied to shrink ferroptosis-related predictors and construct a prognostic model. Functional enrichment, ESTIMATE algorithm, and single-sample gene set enrichment analysis (ssGSEA) were applied for exploring the potential mechanism. GC patients from the GEO cohort were used for validation. Results. An 8-gene prognostic model was constructed and stratified GC patients from TCGA and meta-GEO cohort into high-risk groups or low-risk groups. GC patients in high-risk groups have significantly poorer OS compared with those in low-risk groups. The risk score was identified as an independent predictor for OS. Functional analysis revealed that the risk score was mainly associated with the biological function of extracellular matrix (ECM) organization and tumor immunity. Conclusion. In conclusion, the ferroptosis-related model can be utilized for the clinical prognostic prediction in GC.

Creating photoactive nanofibrous membranes for effective antibacterial activity is highly desired for healthy living, yet it still remains a great challenge. Herein, we present a scalable methodology to prepare anthraquinone-2-carboxylic acid grafted silk fibroin/cellulose acetate blend nanofibrous membranes (G-SF/CA BNM) by combining green biomass materials and electrospinning, which could produce reactive oxygen species (ROS) under UVA irradiation. The resultant G-SF/CA BNMs exhibited integrated properties of ultrathin fiber diameter (154 nm), larger surface area (11.25 m2 g–1), good mechanical properties, robust photoactive activity, and high bactericidal efficiency (99.9999% contact-killing). The fabrication of such fascinating materials may provide new insights into the design and development of photoactive nanofibrous membranes for antibacterial application.

Constructing nanosized photoactive membrane materials would facilitate the pretreatment of dyeing wastewater and reducing environmental pollution. However, preparation of such membrane materials remains tremendously challenging. In this work, we fabricate the silk-derived nanofibrous membranes modified with 3,3′,4,4′-benzophenone tetracarboxylic dianhydride (BDSNM) that could yield reactive oxygen species (ROS) driven under UV light irradiation. The premise of this study is that BDSNM can store photoactive activity at UV light and release ROS under dark conditions. The resultant BDSNM exhibited extra-fine fiber diameter (129 nm), larger surface area (13.8 m2 g–1), superhydrophilicity, fast ROS production, good activity storing capacity, and good degradation capacity for reactive red 195 (>99.9999%) within 30 min. The effective synthesis of such economic and fascinating BDSNM may pave a way for fabrication of photoactive membranes for dye degradation.

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In this work, the surface morphology and diameter distribution of fine denier silk fiber were observed and measured. The adsorption property of acid orange 7 on the fine denier silk fiber was studied. The pseudo-first-order model and pseudo-second-order model adsorption kinetic models were employed to evaluate the experimental data. The effects of pH values and reaction temperature on the dyeing property were investigated. The results indicated that the fine denier silk fiber exhibited a uniform fiber diameter (9 µm), which is smaller than that of conventional silk fiber (16 µm). The adsorption process of the dye could be described using pseudo-second-order kinetic equations. A higher the amount of dye adsorption at equilibrium and faster adsorption rate was obtained for the fine denier silk fiber. The color strength of fine denier silk fibers was improved for the decreased pH values and increased temperature, which exhibited an excellent dyeing property.

ObjectivesThis study aimed to probe into the significance of N6-methyladenosine (m6A)-related immune genes (m6AIGs) in predicting prognoses and immune landscapes of patients with gastric cancer (GC).MethodsThe clinical data and transcriptomic matrix of GC patients were acquired from The Cancer Genome Atlas database. The clinically meaningful m6AIGs were acquired by univariate Cox regression analysis. GC patients were stratified into different clusters via consensus clustering analysis and different risk subgroups via m6AIGs prognostic signature. The clinicopathological features and tumor microenvironment (TME) in the different clusters and different risk subgroups were explored. The predictive performance was evaluated using the KM method, ROC curves, and univariate and multivariate regression analyses. Moreover, we fabricated a nomogram based on risk scores and clinical risk characteristics. Biological functional analysis was performed based on Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. The connectivity map was used to screen out potential small molecule drugs for GC patients.ResultsA total of 14 prognostic m6AIGs and two clusters based on 14 prognostic m6AIGs were identified. A prognostic signature based on 4 m6AIGs and a nomogram based on independent prognostic factors was constructed and validated. Different clusters and different risk subgroups were significantly correlated with TME scores, the distribution of immune cells, and the expression of immune checkpoint genes. Some malignant and immune biological processes and pathways were correlated with the patients with poor prognosis. Ten small molecular drugs with potential therapeutic effect were screened out.ConclusionsThis study revealed the prognostic role and significant values of m6AIGs in GC, which enhanced the understanding of m6AIGs and paved the way for developing predictive biomarkers and therapeutic targets for GC.