Peter Coad是我喜欢的一位面向对象专家和软件创业者。他在上世纪九十年代与人合著了6本关于面向对象软件的分析、设计和编程的书籍，以《面向对象分析》一书中和Yourdon共创的Coad／Yourdon方法而成名。1999年，他创建了TogetherSoft...Peter Coad是我喜欢的一位面向对象专家和软件创业者。他在上世纪九十年代与人合著了6本关于面向对象软件的分析、设计和编程的书籍，以《面向对象分析》一书中和Yourdon共创的Coad／Yourdon方法而成名。1999年，他创建了TogetherSoft公司。2003年，TogetherSoft卖给了Borland公司，他成为了Borland公司的副总裁。展开更多
Objective Colon cancer is a type of cancer with high morbidity and mortality,of which adenocarcinoma is the most common type.Numerous studies have found that long noncoding RNAs(lncRNAs)are related to the occurrence a...Objective Colon cancer is a type of cancer with high morbidity and mortality,of which adenocarcinoma is the most common type.Numerous studies have found that long noncoding RNAs(lncRNAs)are related to the occurrence and development of colon cancer.Autophagy is a key metabolic process in the human body and has a role in affecting cancer growth.In this study,our aim was to explore the correlation between lncRNAs and colon adenocarcinoma(COAD)from the perspective of autophagy.Methods A series of bioinformatics methods were used to explore the correlation between lncRNA and COAD from the perspective of autophagy.Results Four autophagy-related lncRNAs related to the prognosis of COAD were identified:EB1-AS1,LINC02381,AC011462.4,and AC016876.1.These four lncRNAs may act as oncogenes involved in the occurrence and development of COAD.The prognostic model was established,and the accuracy of the model was verified by the receiver operating characteristic curve.The risk score of the model could independently predict the prognosis of patients and was preferable to other clinical indicators,with higher values indicating a worse prognosis of the patients.Gene Set Enrichment Analysis was performed for these four lncRNAs,which showed that the high expression group of these were enriched in the basal cell carcinoma pathway.To make it more convenient for clinicians to use,we constructed a nomogram based on age and risk score,which can be used to evaluate the one-,three-,and five-year survival rates of patients.Conclusion These results can help us understand the mechanism of action of lncRNA on COAD from the perspective of autophagy and may provide new directions for the diagnosis and treatment of COAD.The EB1-AS1 gene in this study is a potential candidate biological target for COAD treatment in the future.展开更多
文摘Objective Colon cancer is a type of cancer with high morbidity and mortality,of which adenocarcinoma is the most common type.Numerous studies have found that long noncoding RNAs(lncRNAs)are related to the occurrence and development of colon cancer.Autophagy is a key metabolic process in the human body and has a role in affecting cancer growth.In this study,our aim was to explore the correlation between lncRNAs and colon adenocarcinoma(COAD)from the perspective of autophagy.Methods A series of bioinformatics methods were used to explore the correlation between lncRNA and COAD from the perspective of autophagy.Results Four autophagy-related lncRNAs related to the prognosis of COAD were identified:EB1-AS1,LINC02381,AC011462.4,and AC016876.1.These four lncRNAs may act as oncogenes involved in the occurrence and development of COAD.The prognostic model was established,and the accuracy of the model was verified by the receiver operating characteristic curve.The risk score of the model could independently predict the prognosis of patients and was preferable to other clinical indicators,with higher values indicating a worse prognosis of the patients.Gene Set Enrichment Analysis was performed for these four lncRNAs,which showed that the high expression group of these were enriched in the basal cell carcinoma pathway.To make it more convenient for clinicians to use,we constructed a nomogram based on age and risk score,which can be used to evaluate the one-,three-,and five-year survival rates of patients.Conclusion These results can help us understand the mechanism of action of lncRNA on COAD from the perspective of autophagy and may provide new directions for the diagnosis and treatment of COAD.The EB1-AS1 gene in this study is a potential candidate biological target for COAD treatment in the future.
