Progress in research on tumor microenvironment-based spatial omics technologies

Spatial omics technology integrates the concept of space into omics research and retains the spatial information of tissues or organs while obtaining molecular information.It is characterized by the ability to visualize changes in molecular information and yields intuitive and vivid visual results.Spatial omics technologies include spatial transcriptomics,spatial proteomics,spatial metabolomics,and other technologies,the most widely used of which are spatial transcriptomics and spatial proteomics.The tumor microenvironment refers to the surrounding microenvironment in which tumor cells exist,including the surrounding blood vessels,immune cells,fibroblasts,bone marrow-derived inflammatory cells,various signaling molecules,and extracellular matrix.A key issue in modern tumor biology is the application of spatial omics to the study of the tumor microenvironment,which can reveal problems that conventional research techniques cannot,potentially leading to the development of novel therapeutic agents for cancer.This paper summarizes the progress of research on spatial transcriptomics and spatial proteomics technologies for characterizing the tumor immune microenvironment.

破裂腹主动脉瘤开放术后围术期死亡危险因素分析及列线图预测模型构建

目的探讨破裂腹主动脉瘤(rAAA)开放术后围术期死亡危险因素并建立列线图预测模型。方法回顾性分析2010年1月至2020年12月广州市番禺区中心医院行开放手术的74例rAAA患者的临床资料,收集每位患者的基线资料和临床资料,使用Logistic回归分析围术期死亡的独立危险因素,并绘制列线图模型。结果74例rAAA患者中,围术期死亡率为20.3%(15/74),logistics回归分析结果显示年龄、糖尿病、冠心病、出血量是rAAA围术期死亡的独立危险因素(P<0.05)。基于筛选的独立危险因素,建立预测列线图模型。该模型曲线下面积为0.872(95%CI:0.794~0.934)。结论年龄、糖尿病、冠心病、出血量是rAAA围术期死亡的独立危险因素,以此建立的列线图风险模型具有较好的风险评估效能与准确度。