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作 者:赵静[1] 王雅卓 王润芳 李娜[3] 褚兆苹[1] 韩华[1] 赵源 王蓓[1] 田菲[1] 张媛[1] 张蕴霞[1] ZHAO Jing;WANG Yazhuo;WANG Runfang(Department of Gynecology,Hebei General Hospital,Hebei,Shijiazhuang 050051 China;不详)
机构地区:[1]河北省人民医院妇科,石家庄市050051 [2]河北省人民医院产科,石家庄市050051 [3]河北省人民医院肿瘤科,石家庄市050051 [4]昆明理工大学医学院
出 处:《河北医药》2022年第22期3375-3379,共5页Hebei Medical Journal
基 金:河北省卫生健康委立项科研基金青年项目(编号:20200754,编号:20220862)。
摘 要:目的探讨KIF20B对高级别浆液性卵巢癌的早期预测并进行验证。方法使用在GEO数据库中3个含有HGSOC微阵列数据集中鉴定出了176个差异表达基因(DEGs),并利用MCODE插件筛选出了22个核心基因。使用R语言对正常组织和肿瘤组织进行差异基因分析,并对差异基因进行功能富集分析,构建蛋白互作网络并进行核心基因的鉴定,并对与预后相关的核心基因KIF20B进行免疫浸润分析和分子相关性分析,最后实验验证KIF20B在卵巢癌组织和正常组织中的差异性表达。结果Kaplan-Meier Plotter数据库,TIMER数据库中TCGA数据集挖掘结果及分子相关性分析提示HGSOC中高表达的核心基因KIF20B的高表达与低表达患者的PFS和OS差异均有统计学意义(P<0.05)。ROC曲线显示AUC为0.875。KIF20B的表达与B细胞的浸润程度呈负相关(P<0.05),与CD4+T细胞、巨噬细胞浸润程度呈正相关(P<0.05)。KIF20B与BIRC5及BCL2A1的表达密切相关。免疫组化结果提示在HGSOC患者中KIF20B的阳性表达率显著高于HOSE患者(P<0.05)。结论KIF20B与高级别浆液性卵巢癌患者的预后密切相关,对于卵巢癌预后具有良好的预测性,可作为预测卵巢癌预后的生物标志物,其可能通过抑制凋亡及参与调节肿瘤免疫微环境促进卵巢癌的增殖侵袭。Objective To explore and validate the early prediction of KIF20B on high-grade serous ovarian carcinoma(HGSOC).Methods One hundred and seventy six differentially expressed genes(DEGs)were identified by applying three data sets containing HGSOC microarray in the GEO database,and 22 core genes were screened out by applying the MCODE plug-in.Kaplan-Meier Plotte.R language was applied to analyze differential genes in normal and tumor tissues,function enrichment analysis on differential genes was implemented,the protein interaction network was constructed,core genes were identified,and immune infiltration analysis and molecular correlation analysis on the core gene KIF20B related to prognosis were taken.Finally,differential expressions of KIF20B in ovarian carcinoma tissues and normal tissues were verified in experiments.Results The TCGA dataset mining results in the Kaplan-Meier Plotter database and TIMER database showed that differences in PFS and OS of highly and lowly expressed core gene KIF20B in HGSOC of patients were statistically significant(P<0.05).ROC curve showed AUC was 0.875.The expression of KIF20B was negatively correlated with the infiltration of B cells(P<0.05),it was positively correlated with the infiltration of CD4+T cells and macrophages(P<0.05).KIF20B was closely related to the expression of BIRC5 and BCL2A1.Immunohistochemical results showed that the positive expression rate of KIF20B in HGSOC patients was significantly higher than that in HOSE patients(P<0.05).Conclusion KIF20B is closely related to the prognosis of patients with HGSOC,it exhibits satisfactory predictability for prognosis of ovarian carcinoma,is eligible to be used as a biomarker to predict the prognosis of ovarian carcinoma,and is capable of promoting the proliferation and invasion of ovarian carcinoma by inhibiting apoptosis and getting involved in regulating tumor immune microenvironment.
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