摘要
胰腺癌是一种高度恶性的消化道肿瘤,临床表现不具有特征性,在早期难诊断易转移,发展迅速;胰腺癌转移率高,且转移后难以治愈进而导致死亡率升高。因此相比胰腺癌未转移来说,研究确定预测胰腺癌转移、转移后的新治疗方法及治疗的潜在靶标尤为迫切并具有重要意义。而且近两年兴起的基于基因之间相关关系的共表达网络分析法,为多种复杂疾病的研究提供了新的线索和思路。我们应用TCGA数据库中的大量胰腺癌转录组数据,筛选胰腺癌转移差异表达基因,使用共表达网络分析法(WGCNA)筛选胰腺癌转移后,基因间出现一个52个差异表达基因构建的新共表达网络模块,且挖掘到其中ASIC4,GLDC,MMD2,CTNNA2,FOXC4-AS1,SNHG19和BCAN等11个枢纽基因。我们推测认为它们为胰腺癌转移提供了新的潜在诊断、治疗靶标。同时KEGG富集分析发现,该新基因网络模块内基因富集于炎症介质对色氨酸通道的调节,卵母细胞减数分裂,乙醛酸和二元羧酸盐代谢和甘氨酸、丝氨酸和苏氨酸代谢等4条代谢通路。
Pancreatic carcinoma is a highly malignant tumor in digestive tract.Its clinical manifestations are not characteristic.It characterized by rapid progression,early metastasis and difficulty in diagnosis and treatment.Pancreatic cancer is known to metastasize rapidly,and the cure rate of pancreatic cancer metastasis is very low.Therefore,compared without metastasis of pancreatic cancer,it is urgent and significant to study the new treatment methods and potential targets to treat the metastasis of pancreatic cancer.In recent years,the weight co expression network method based on the correlation between genes has provided new clues and ideas for the research of many complex diseases.Using a large number of transcriptome data from TCGA database to screen differentially expressed genes of pancreatic cancer metastasis,which used for the analysis of weight co-expression network.The results shows that a new co-expression gene network module was only found in the pancreatic cancer metastasis group,and 11 hub genes was found in the module.It is speculate that the 11 hub genes of ASIC4,GLDC,MMD2,CTNNA2,FOXC4-AS1,SNHG19 and BCAN are likely to provide a new potential target for diagnosis and treatment of pancreatic cancer metastasis.Moreover,the genes in the module is enriched in the 4 KEGG pathway,such as Inflammatory mediator regulation of TRP channels,Oocyte meiosis,Glyoxylate and dicarboxylate metabolism,Glycine,serine and threonine metabolism.
作者
唐婧
程美玲
肖玉凤
邓志芬
李菁
TANG Jing;CHENG Meiling;XIAO Yufeng;DENG Zhifen;LI Jing(School of Life Sciences,Guizhou Normal University,State Key Laboratory of Plant Physiology and Development in Guizhou Province,Guiyang,Guizhou 550025,China)
出处
《贵州师范大学学报（自然科学版）》
CAS
2020年第3期39-44,89,共7页
Journal of Guizhou Normal University：Natural Sciences
基金
国家自然科学基金委员会-贵州省人民政府喀斯特科学研究中心项目(U1812401)
贵州师范大学博士科研项目(GZNUD[2017]1)
重庆市教育委员会青年项目(KJQN01801345)(KJ1601123)。
关键词
胰腺癌转移
WGCNA
基因网络
差异基因
pancreatic cancer metastasis
WGCNA
gene network
differentially expressed genes
作者简介
唐婧(1983-),女,博士,高级实验师,研究方向:微生物组研究,E-mail:56603906@qq.com.
