MAD2L1/CAMK2A/PTTG1基因簇失调维持子宫内膜癌干性特征  

Dysregulation of MAD2L1/CAMK2A/PTTG1 Gene Cluster Maintains the Stemness Characteristics of Uterine Corpus Endometrial Carcinoma

作　　者：郑菁 张轶雯 潘宗富 ZHENG Jing;ZHANG Yiwen;PAN Zongfu(Department of Pharmacy,Zhejiang Medical&Health Group Hangzhou Hospital,Hangzhou 310022,China;Department of Pharmacy,Zhejiang Provincial People’s Hospital,People’s Hospital of Hangzhou Medical College,Hangzhou 310014,China;Key Laboratory of Endocrine Gland Diseases of Zhejiang Province,Hangzhou 310014,China)

机构地区：[1]浙江省医疗健康集团杭州医院药剂科,杭州310022 [2]浙江省人民医院杭州医学院附属人民医院药学部,杭州310014 [3]浙江省内分泌腺体疾病诊治研究重点实验室,杭州310014

出　　处：《中国医学科学院学报》2021年第5期685-695,共11页Acta Academiae Medicinae Sinicae

基　　金：国家自然科学基金(81802673);浙江省自然科学基金(LQ18H160017)。

摘　　要：目的研究子宫内膜癌(UCEC)的干性特征及潜在调控机制。方法从癌症基因组图谱数据库中获取UCEC转录组测序数据。在R3.5.1环境下,采用edgeR包对基因表达谱进行标准化。基于一类逻辑回归机器学习算法计算各UCEC样本的mRNA干性指数(mRNAsi)。采用survival包和survminer包计算mRNAsi和候选基因的预后意义。基于高频子通路挖掘算法(HiFreSP)对差异基因进行子通路预后识别。通过WGCNA包构建基因共表达网络,分析关键基因模块。利用clusterProfiler包进行功能注释及通路富集分析。利用人类蛋白图谱数据库进行免疫组织化学验证。结果UCEC样本mRNAsi显著高于正常组织(t=25.095,P<0.001),分化程度越低,mRNAsi越高,mRNAsi随肿瘤分期逐渐上调。预后分析表明,mRNAsi评分越高,UCEC患者总生存期越短(χ^(2)=6.864,P=0.0088),mRNAsi高低组别之间存在570个特异变化差异基因。通过HiFreSP算法富集并识别出卵母细胞减数分裂的子通路及细胞周期子通路具有显著预后意义。这些通路共包含MAD2L1、CAMK2A、PTTG1、PLK1、CCNE1、CCNE2、ESPL1、CDC20、CCNB1、CCNB2、SMC1B等11个差异基因,均与患者预后显著相关。基因共表达网络分析结果显示,mRNAsi与3个基因模块密切相关,MAD2L1、CAMK2A、PTTG1也分别与上述模块高度相关。免疫组织化学结果表明,MAD2L1及PTTG1在UCEC组织中高表达,而CAMK2A在UCEC中下调,该趋势与转录组测序结果一致。结论本研究基于机器学习刻画了UCEC的干性特征,识别预后相关子通路,并发现MAD2L1、CAMK2A、PTTG1等基因簇与UCEC的干性特征密切相关,为揭示UCEC干性特征调控机制及发现潜在治疗靶点提供线索。Objective To study the stemness characteristics of uterine corpus endometrial carcinoma(UCEC)and its potential regulatory mechanism.Methods Transcriptome sequencing data of UCEC was obtained from The Cancer Genome Atlas.Gene expression profile was normalized by edgeR package in R3.5.1.A one-class logistic regression machine learning algorithm was employed to calculated the mRNA stemness index(mRNAsi)of each UCEC sample.Then,the prognostic significance of mRNAsi and candidate genes was evaluated by survminer and survival packages.The high-frequency sub-pathways mining approach(HiFreSP)was used to identify the prognosis-related sub-p athways enriched with differentially expressed genes(DEGs).Subsequently,a gene co-expression network was constructed using WGCNA package,and the key gene modules were analyzed.The clusterProfiler package was adopted to the function annotation of the modules highly correlated with mRNAsi.Finally,the Human Protein Atlas(HPA)was retrieved for immunohistochemical validation.Results The mRNAsi of UCEC samples was significantly higher than that of normal tissues(t=25.095,P<0.001),and the lower degree of differentiation corresponded to higher mRNAsi in tumor tissues.The mRNAsi of UCEC increased gradually with tumor staging.The prognostic analysis showed that high mRNAsi was correlated with short overall survival in patients with UCEC(χ^(2)=6.864,P=0.0088).There were 570 DEGs between the high-and low-mRNAsi groups.By using the HiFreSP algorithm,we identified that the oocyte meiosis sub-pathway(Oocyte meiosis_1)and cell cycle sub-pathway(Cell cycle_3)had significant prognostic significance.These pathways contained 11 DEGs(MAD2L1,CAMK2A,PTTG1,PLK1,CCNE1,CCNE2,ESPL1,CDC20,CCNB1,CCNB2,and SMC1B),which were significantly associated with the prognosis of UCEC patients.Gene co-expression network showed that mRNAsi,as well as MAD2L1,CAMK2A,and PTTG1,was associated with three gene modules.The immunohistochemical analysis demonstrated that MAD2L1 and PTTG1 showed up-regulated expression while CAMK2A sh

关 键 词：子宫内膜癌 肿瘤干细胞 干性指数 生物标志物 共表达网络 

分 类 号：R737.33[医药卫生—肿瘤]