检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:李孟祥 陈攀[2] 杜玉博 张自超 孙魁 冯笑山[2] 高社干[2] 齐义军 LI Meng-xiang;CHEN Pan;DU Yu-bo;ZHANG Zi-chao;SUN Kui;FENG Xiao-shan;GAO She-gan;QI Yi-jun(Department of Mathematics and Physics,Luoyang Institute of Science and Technology,Luoyang,China,471023;Henan Key Laboratory of Cancer Epigenetics,Cancer Institute,the First Affiliated Hospital,and College of Clinical Medicine of Henan University of Science and Technology,Luoyang,China,471003)
机构地区:[1]洛阳理工学院数学与物理教学部,河南洛阳471023 [2]河南科技大学第一附属医院,肿瘤医院,省部共建食管癌防治国家重点实验室,河南省微生态与食管癌防治重点实验室,河南省肿瘤表观遗传重点实验室,中国洛阳471003
出 处:《食管疾病》2023年第1期11-18,共8页Journal of Esophageal Diseases
基 金:国家自然科学基金资助项目(U1604191,81872037)。
摘 要:目的鉴定新的抗食管鳞癌(ESCC)免疫细胞毒性相关分子。方法基于ESCC转录组表达谱数据,利用CIBERSORT反卷积算法计算ESCC样本中免疫细胞构成比;通过加权基因共表达网络分析(WGCNA)构建基因模块;计算免疫细胞构成比与细胞毒性基因、共表达网络模块的相关性,确定关键模块。通过基因的模块隶属度、基因显著性和预后相关性,鉴定关键基因。结果WGCNA方法共构建30个基因模块,其中white模块包含了本研究纳入的所有细胞毒性相关基因(GZMA、PRF1、GZMB和IFNG),将其作为关键模块。关键模块共包含18个关键hub基因,其中8个基因表达异常与ESCC患者预后相关。结论通过基因共表达网络方法,鉴定到8个ESCC细胞毒性相关基因。Objective To identify novel molecules related to cytolytic activity in esophageal squamous cell carcinoma(ESCC).Methods CIBERSORT was used to enumerate the composition ratio of immune cells in ESCC samples based on transcriptome data.Gene modules were constructed by the weighted gene co-expression network analysis(WGCNA).Correlations between composition ratio of immune cells and cytolytic activity genes,composition ratio of immune cells and modules were calculated to determine key modules.Key genes were identified by module membership,gene significance,and prognostic relevance.The key genes were identified by the module membership,gene significance and prognostic correlation of genes.Results A total of 30 modules were constructed by WGCNA,among which the white module contained all the cytolytic activity genes(GZMA,PRF1,GZMB and IFNG),which was used as key modules.The key module contains a total of 18 hub genes,of which 8 genes have prognostic relevance.Conclusion In this study,several cytolytic activity-related genes were identified by gene co-expression network method.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.226.52.105