CAJ | 학술논문

目的结合胰腺导管癌(PDAC)表达谱数据、临床资料以及分析基因共表达网络,定义PDAC预后相关的基因,并挖掘其预后相关的分子调控机制.方法通过Cox生存分析寻找表达水平与生存时间相关的基因(P＜ 0.000 1).计算得到的相关基因之间的共表达关系,建立共表达网络,进一步寻找网络中核心模块.结果 Cox生存分析得到273个与患者的生存数据相关的候选基因,构建共表达网络[Pearson相关系数(r)＞ 0.9,P＜0.05]寻找核心模块(MCODE算法,得分＞2),最后发现1个包含6个基因(PTMAP7、FTSJ3、TLK2、GOLGA3、PTTG1IP、ZBTB37) 14个共表达关系的核心模块.其中GOLGA3基因已经被发现与PDAC的转移侵染有关;其他基因也都被研究发现属于已知癌基因.结论构建的PDAC相关基因的共表达模块与PDAC预后相关,且可能作为PDAC预后相关标志分子.
목적 결합이선도관암(PDAC)표체보수거、림상자료이급분석기인공표체망락,정의PDAC예후상관적기인,병알굴기예후상관적분자조공궤제.방법 통과Cox생존분석심조표체수평여생존시간상관적기인(P＜ 0.000 1).계산득도적상관기인지간적공표체관계,건립공표체망락,진일보심조망락중핵심모괴.결과 Cox생존분석득도273개여환자적생존수거상관적후선기인,구건공표체망락[Pearson상관계수(r)＞ 0.9,P＜0.05]심조핵심모괴(MCODE산법,득분＞2),최후발현1개포함6개기인(PTMAP7、FTSJ3、TLK2、GOLGA3、PTTG1IP、ZBTB37) 14개공표체관계적핵심모괴.기중GOLGA3기인이경피발현여PDAC적전이침염유관;기타기인야도피연구발현속우이지암기인.결론 구건적PDAC상관기인적공표체모괴여PDAC예후상관,차가능작위PDAC예후상관표지분자.
Objective To detect genes expression related to the prognosis of pancreatic ductal adenocarcinoma (PDAC) and explore the potential molecular mechanism applying PDAC gene expression data,co-expression network and clinical data.Methods Univariate Cox proportional hazards model was used to find genes which were significantly correlated with patient survival data (P ＜ 0.000 1).Then calculated the correlation coefficient of these genes to establish co-expression network and found key modules of the network.Results 273 candidate genes were found related to survival data.With these genes,genes co-expression network (Pearson correlation r ＞ 0.9,P ＜ 0.05) and key modules were constructed,and then,a key module including 6 genes (PTMAP7,FTSJ3,TLK2,GOLGA3,PTTG1IP,ZBTB37) and 14 co-expression relationships between them were found.Among these genes,GOLGA3 had been known to associate with invasion and metastasis of PDAC,and the other 5 genes were all known as cancer genes.Conclusion These findings may suggest that these 6 survival genes in the key module of co-expression network are highly associated with the prognosis of PDAC,and may be biomarkers for PDAC prognosis.