骨肉瘤铜死亡相关LncRNA预后模型构建与验证

目的:Cuproptosis是一种新发现的程序性细胞死亡形式,被认为在肿瘤治疗中起重要作用。长链非编码RNA(long non-coding RNA,lncRNA)参与调节细胞多种生理与病理活动。本研究旨在探讨铜死亡相关LncRNA在骨肉瘤中的预后意义。方法:从公共数据库UCSC Xena和GTEx数据库下载骨肉瘤样本与正常样本的基因表达谱以及相应的临床数据,从已发表的文献中获取铜死亡基因,采用共表达网络、最小绝对收缩和选择算法(LASSO)和Cox回归模型构建骨肉瘤铜死亡相关lncRNA预后模型并进行内部验证。采用受试者工作特征(ROC)曲线和列线图来评估模型的预测能力。单样本基因集富集分析(ssGSEA)探讨不同风险组与骨肉瘤免疫细胞与功能的相关性。结果:对收集到的19个铜死亡基因进行共表达分析,得到181个铜死亡相关lncRNA,差异分析及单因素Cox分析筛选出10个铜死亡预后相关的LncRNA。随后通过Lasso及多因素Cox回归筛选得到了3个铜死亡相关lncRNA(AC124798.1、AC090152.1、AC090559.1)构建预后模型。根据风险评分中位值将患者分为高、低风险组。低风险组总生存期、风险评分分布、生存状况结果优于高风险组,并在内部数据中得到了验证。单因素和多因素Cox回归分析显示,风险评分是一个独立预后因素。列线图与ROC曲线表明,该预后模型具有较好的预测能力。ssGSEA结果提示高风险组中免疫细胞及功能可能受到抑制。结论:3个铜死亡相关lncRNA可能有助于对骨肉瘤患者预后进行指导,为临床决策提供一定理论依据。

Construction and validation of prognostic model of Cuproptosis-related LncRNA in osteosarcoma

Cuproptosis is a newly discovered form of apoptotic process that is thought to play an important role in cancer therapy.Long non-coding RNA(lncRNA)is involved in regulating many physiological and pathological activities of cells.The aim of this study was to investigate the prognostic significance of Cuproptosis-associated lncRNAs in osteosarcoma.Methods:The Gene expression profiling of osteosarcoma samples versus normal samples and corresponding clinical data were downloaded from the public databases UCSC Xena and GTEx,and the cuproptosis gene was obtained from the published literature,the prognostic model of osteosarcoma cuproptosis-related lncRNA was constructed by using coexpression network,minimum absolute contraction and selection algorithm(LASSO)and Cox regression model.Receiver operating characteristic(ROC)curves and nomograms were used to assess the predictive power of the model.Single-sample gene set enrichment analysis(ssGSEA)was used to explore the relationship between osteosarcoma immune cells and function in different risk groups.Results:181 cuproptosis-related lncRNAs were obtained by co-expression analysis of 19 cuproptosis genes collected.Ten lncRNAs were screened out by differential analysis and single-factor Cox analysis.Three cuproptosis-related lncrnas(AC124798.1,AC090152.1,AC090559.1)were screened by Lasso and multivariate Cox regression to construct the prognostic model.Patients were divided into high and low risk groups based on the median risk score.The results of overall survival,risk score distribution and survival status in the lowrisk group were better than those in the high-risk group,and were verified in the internal data.Univariate and multivariate Cox regression analyses showed that risk score was an independent prognostic factor.Nomograms and ROC curves showed that the prognostic model had good predictive ability.The results of ssGSEA suggest that immune cells and function may be inhibited in the high-risk group.Conclusion:The 3 cuproptosis-related lncRNAs may be helpful to guide the prognosis of osteosarcoma patients and provide some theoretical basis for clinical decision.

建筑工程绿色节能施工技术应用

当前我国科学技术的发展速度十分迅猛,在时代发展背景下,我国的建筑工程施工管理的信息化水准也逐渐有所提升。在实际的建筑工程施工管理过程中,BIM技术的使用十分重要,因为该技术带有可视化以及协调性等的特征,且其技术的应用前景十分的广阔,因此,BIM技术的投入已经成为了我国建筑行业发展的必然。对此,我国想要进一步的发展建筑行业,就需要注重BIM技术的应用,分别在图纸设计及施工组织等各个方面进行管控,找出BIM技术应用在建筑工程施工管理的应用要点,制定出较为合理化的管控措施。

土木工程结构的设计与施工策略分析

土木工程结构的设计与施工策略直接与建筑的安全性、功能性相关联,好的结构设计与正确的施工策略选择,往往能够提高工程建设的效率,有利于成本、工期与质量控制。主要阐述讨论土木工程结构的设计与施工策略方面存在的问题,针对在设计与施工中的欠缺部分提出相应的应对措施,为提高土木工程结构与施工策略的合理性、科学性提供帮助。