文章摘要
晏 勇,文黎明,秦佳敏,杨亚玲,许婷婷.MIF、PRC2核心基因、p27在胃癌合并Hp感染患者病变组织中的表达及其临床意义[J].,2021,(14):2758-2763
MIF、PRC2核心基因、p27在胃癌合并Hp感染患者病变组织中的表达及其临床意义
The Expression and Clinical Significance of MIF, PRC2 Core Genes and p27 in Diseased Tissues of Patients with Gastric Cancer and Hp Infection
投稿时间:2021-01-05  修订日期:2021-01-28
DOI:10.13241/j.cnki.pmb.2021.14.034
中文关键词: 胃癌  幽门螺杆菌感染  巨噬细胞移动抑制因子  多梳抑制复合物2核心基因  p27  病理特征  生存状况
英文关键词: Gastric cancer  Helicobacter pylori infection  Macrophage migration inhibitory factor  Polycomb repressive complex 2  p27  Pathological characteristics  Survival status
基金项目:四川省卫生和计划生育委员会科研项目(18PJ397)
作者单位
晏 勇 四川绵阳四0四医院(川北医学院附属第二医院)消化内科 四川 绵阳 621000 
文黎明 四川绵阳四0四医院(川北医学院附属第二医院)消化内科 四川 绵阳 621000 
秦佳敏 四川绵阳四0四医院(川北医学院附属第二医院)消化内科 四川 绵阳 621000 
杨亚玲 四川绵阳四0四医院(川北医学院附属第二医院)消化内科 四川 绵阳 621000 
许婷婷 四川绵阳四0四医院(川北医学院附属第二医院)病理科 四川 绵阳 621000 
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中文摘要:
      摘要 目的:探究巨噬细胞移动抑制因子(MIF)、多梳抑制复合物2(PRC2)核心基因(EZH2)、p27在胃癌合并Hp感染患者病变组织中的表达情况及其临床意义。方法:选取我院2017年6月~2019年2月期间接治的68例胃癌合并Hp感染患者作为胃癌合并Hp感染组,另选取54例单纯胃癌患者作为单纯胃癌组,比较两组癌组织与癌旁组织中MIF、EZH2、p27表达水平的差异,并对比胃癌合并Hp感染组不同临床病理特征患者MIF、EZH2、p27表达情况,采用Spearman相关性分析MIF、EZH2、p27与胃癌、胃癌合并Hp感染及临床病理特征的关联性。对胃癌合并Hp感染组随访1年,统计1年生存率,采用Kaplan-Meier曲线对胃癌合并Hp感染组不同MIF、EZH2、p27表达患者的生存情况生存分析。结果:两组癌组织中MIF、EZH2阳性表达率高于癌旁组织,p27阳性表达率低于癌旁组织,胃癌合并Hp感染组癌组织、癌旁组织中MIF、EZH2高于单纯胃癌组,p27阳性表达率低于单纯胃癌组(P<0.05);Spearman相关性分析,MIF、EZH2与胃癌合并Hp感染患者TNM分期、淋巴结转移呈正相关,与分化程度呈负相关,p27与胃癌合并Hp感染患者TNM分期、淋巴结转移呈负相关,与分化程度呈正相关(P<0.05)。结论:MIF、EZH2、p27在胃癌合并Hp感染患者病变组织中呈异常表达,与TNM分期、淋巴结转移、分化程度密切相关,且MIF、p27能为临床预测生存状况提供参考依据。
英文摘要:
      ABSTRACT Objective: To explore the expression and clinical significance of macrophage migration inhibitory factor (MIF), enhancer of zeste homolog 2 (EZH2)of polycomb repressive complex 2 (PRC2), and p27 in diseased tissues of patients with gastric cancer and Hp infection. Methods: Select our hospital from June 2017 to February 2019 after cure during the period of 68 patients with gastric cancer complicated by Hp infection as gastric cancer complicated by Hp infection group, the other from 54 cases pure stomach cancer patients as pure gastric cancer group, compared two groups in the tissue adjacent to carcinoma tissues and MIF, EZH2, p27 expression level difference, comparing with stomach cancer merger of Hp infection in patients with different clinical pathological features of MIF, EZH2, p27 expression, the Spearman correlation analysis MIF, EZH2 and p27 and cancer of the stomach, the stomach with Hp infection and clinical pathologic features of relevance. The group of gastric cancer complicated with Hp infection was followed up for 1 year, and the 1-year survival rate was calculated. The survival of patients with different MIF, EZH2 and p27 expressions in the group of gastric cancer complicated with Hp infection was analyzed by Kaplan-Meier curve. Results: The positive expression rates of MIF and EZH2 in the two groups of cancer tissues were higher than those in the adjacent tissues, and the positive expression rates of p27 were lower than those in the adjacent tissues. MIF and EZH2 in gastric cancer and Hp infection group were higher in cancer tissues and adjacent tissues than in simple gastric cancer group, and the positive expression rate of p27 was lower than that in simple gastric cancer group (P<0.05). Spearman correlation analysis showed that MIF and EZH2 were positively correlated with TNM staging and lymph node metastasis in patients with gastric cancer combined with Hp infection, and negatively correlated with the degree of differentiation. p27 was negatively correlated with TNM staging and lymph node metastasis in patients with gastric cancer combined with Hp infection, and positively correlated with the degree of differentiation (P<0.05). After 1 year of follow-up, the 1-year survival rate of gastric cancer combined with Hp infection group was 71.21% (47/66). Conclusion: MIF, EZH2, and p27 are abnormally expressed in the diseased tissues of patients with gastric cancer and Hp infection, and are closely related to TNM staging, lymph node metastasis, and degree of differentiation. MIF and p27 can provide reference for clinical prediction of survival status.
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