Background: Necroptosis plays a crucial role in the progression of multiple types of cancer. However, the role of necroptosis in gastric cancer (GC) remains unclear. The aim of this study is to establish a necroptosis-related prediction model, which could provide information for treatment monitoring. Methods:The TCGA-STAD cohort was employed to establish a prognostic prediction signature and the GEO dataset was employed for external validation. The correlation between the risk score and the immune landscape, tumor mutational burden (TMB), microsatellite instability (MSI), as well as therapeutic responses of different therapies were analyzed. Results:We constructed a prognostic model based on necroptosis-associated genes (NAGs), and its favorable predictive ability was confirmed in an external cohort. The risk score was confirmed as an independent determinant, and a nomogram was further established for prognosis. A high score implies higher tumor immune microenvironment (TIME) scores and more significant TIME cell infiltration. High-risk patients presented with lower TMB, and low-TMB patients had worse overall survival (OS). Meanwhile, Low-risk scores are characterized by MSI-high (MSI-H), lower Tumor Immune Dysfunction and Exclusion (TIDE) score, and higher immunogenicity in immunophenoscore (IPS) analysis. Conclusion:The developed NAG score provides a novel and effective method for predicting the outcome of GC as well as potential targets for further research.
The role of new urbanization in the process of social development of China is increasingly important and it is an inevitable requirement of the Third Plenum of 18 th CPC Central Committee. In this paper, we try to study empirically the coordinative development between the quality and scale in the process of urbanization, and at the micro level to research the quality and scale of urbanization in time series for latest nine years. This paper establishes an evaluation index system, including seven aspects: economic development, social development, ecological development, urban-rural integration, land size, population size and economies of scale. This paper adopts two methods, improved entropy and quadrant diagram classification, to specify analysis and exploration. The results show that the quality and scale of urbanization of Hebei province increase gradually, the gap among cities is shrinking, and the coordination between the quality and scale of urbanization is improving as well. Quality ahead, however, results in the relative lack of scale phenomenon that is worthy attention. In addition, whatever the urbanization process or the coordination between quality and scale of urbanization, there are obviously spatial differences.
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