Objective:Through integrated bioinformatics analysis,the goal of this work was to find new,characterised N7-methylguanosine modification-related long non-coding RNAs(m7G-lncRNAs)that might be used to predict the progn...Objective:Through integrated bioinformatics analysis,the goal of this work was to find new,characterised N7-methylguanosine modification-related long non-coding RNAs(m7G-lncRNAs)that might be used to predict the prognosis of laryngeal squamous cell carcinoma(LSCC).Methods:The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database&sanitised.Then,using co-expression analysis of m7G-associated mRNAs&lncRNAs&differential expression analysis(DEA)among LSCC&normal sample categories,we discovered lncRNAs that were connected to m7G.The prognosis prediction model was built for the training category using univariate&multivariate COX regression&LASSO regression analyses,&the model’s efficacy was checked against the test category data.In addition,we conducted DEA of prognostic m7G-lncRNAs among LSCC&normal sample categories&compiled a list of co-expression networks&the structure of prognosis m7G-lncRNAs.To compare the prognoses for individuals with LSCC in the high-&low-risk categories in the prognosis prediction model,survival and risk assessments were also carried out.Finally,we created a nomogram to accurately forecast the outcomes of LSCC patients&created receiver operating characteristic(ROC)curves to assess the prognosis prediction model’s predictive capability.Results:Using co-expression network analysis&differential expression analysis,we discovered 774 m7G-lncRNAs and 551 DEm7G-lncRNAs,respectively.We then constructed a prognosis prediction model for six m7G-lncRNAs(FLG−AS1,RHOA−IT1,AC020913.3,AC027307.2,AC010973.2 and AC010789.1),identified 32 DEPm7G-lncRNAs,analyzed the correlation between 32 DEPm7G-lncRNAs and 13 DEPm7G-mRNAs,and performed survival analyses and risk analyses of the prognosis prediction model to assess the prognostic performance of LSCC patients.By displaying ROC curves and a nomogram,we finally checked the prognosis prediction model's accuracy.Conclusion:By creating novel predictive lncRNA signatures for clinical diagnosis&therapy,our findings will contribute to understanding the pathogenetic process of LSCC.展开更多
H7N9禽流感病毒(AIV)感染人类的情况最先出现在中国,而且具有很高的突变性。2013年首次在人类身上分离出的是低致病性H7N9禽流感病毒,发展到2017年,已经出现高致病性H7N9禽流感病毒,严重威胁动物和人类的生命健康安全,同时,还会对社会...H7N9禽流感病毒(AIV)感染人类的情况最先出现在中国,而且具有很高的突变性。2013年首次在人类身上分离出的是低致病性H7N9禽流感病毒,发展到2017年,已经出现高致病性H7N9禽流感病毒,严重威胁动物和人类的生命健康安全,同时,还会对社会的稳定和经济发展有一定的影响。综述通过NCBI(National Center for Biotechnology Information)和GISAID数据库收集了中国国内2001~2021年共4641条有关H7N9的数据,拟通过流行病学的角度来说明H7N9禽流感病毒在中国的发生、发展以及在时间、空间和种群间的分布情况,同时总结中国对H7N9所引起的大流行所采取的防控措施,以期为后续的疫情防控措施规划提供依据。展开更多
基金supported by a grant Hebei Provincial Health Commission project from the Foundation of Basic Research(No.20191843).
文摘Objective:Through integrated bioinformatics analysis,the goal of this work was to find new,characterised N7-methylguanosine modification-related long non-coding RNAs(m7G-lncRNAs)that might be used to predict the prognosis of laryngeal squamous cell carcinoma(LSCC).Methods:The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database&sanitised.Then,using co-expression analysis of m7G-associated mRNAs&lncRNAs&differential expression analysis(DEA)among LSCC&normal sample categories,we discovered lncRNAs that were connected to m7G.The prognosis prediction model was built for the training category using univariate&multivariate COX regression&LASSO regression analyses,&the model’s efficacy was checked against the test category data.In addition,we conducted DEA of prognostic m7G-lncRNAs among LSCC&normal sample categories&compiled a list of co-expression networks&the structure of prognosis m7G-lncRNAs.To compare the prognoses for individuals with LSCC in the high-&low-risk categories in the prognosis prediction model,survival and risk assessments were also carried out.Finally,we created a nomogram to accurately forecast the outcomes of LSCC patients&created receiver operating characteristic(ROC)curves to assess the prognosis prediction model’s predictive capability.Results:Using co-expression network analysis&differential expression analysis,we discovered 774 m7G-lncRNAs and 551 DEm7G-lncRNAs,respectively.We then constructed a prognosis prediction model for six m7G-lncRNAs(FLG−AS1,RHOA−IT1,AC020913.3,AC027307.2,AC010973.2 and AC010789.1),identified 32 DEPm7G-lncRNAs,analyzed the correlation between 32 DEPm7G-lncRNAs and 13 DEPm7G-mRNAs,and performed survival analyses and risk analyses of the prognosis prediction model to assess the prognostic performance of LSCC patients.By displaying ROC curves and a nomogram,we finally checked the prognosis prediction model's accuracy.Conclusion:By creating novel predictive lncRNA signatures for clinical diagnosis&therapy,our findings will contribute to understanding the pathogenetic process of LSCC.
基金supported by the National Natural Science Foundation of China (No. 52171119)the Natural Science Foundation of Jiangsu Province, China (No. BK20201308)。
文摘H7N9禽流感病毒(AIV)感染人类的情况最先出现在中国,而且具有很高的突变性。2013年首次在人类身上分离出的是低致病性H7N9禽流感病毒,发展到2017年,已经出现高致病性H7N9禽流感病毒,严重威胁动物和人类的生命健康安全,同时,还会对社会的稳定和经济发展有一定的影响。综述通过NCBI(National Center for Biotechnology Information)和GISAID数据库收集了中国国内2001~2021年共4641条有关H7N9的数据,拟通过流行病学的角度来说明H7N9禽流感病毒在中国的发生、发展以及在时间、空间和种群间的分布情况,同时总结中国对H7N9所引起的大流行所采取的防控措施,以期为后续的疫情防控措施规划提供依据。
