临床外科杂志 ›› 2023, Vol. 31 ›› Issue (11): 1044-1048.doi: 10.3969/j.issn.1005-6483.2023.11.012

• 论著 • 上一篇    下一篇

泛素偶联酶E2C及非转移细胞基因2与乳腺癌临床病理特征关系及其在预后评估中的临床价值

  

  1. 210004   南京医科大学附属妇产医院  南京市妇幼保健院检验科
  • 收稿日期:2022-12-23 修回日期:2022-12-21 接受日期:2022-12-23 出版日期:2023-11-20 发布日期:2023-11-20
  • 基金资助:
    国家自然科学基金资助项目(82102717)

Study on the Relationship Between ubiquitin conjugating enzyme E2C,non-metastatic cell gene 2 Levels and Clinicopathological Features of Breast Cancer and Prognostic Value

  1. Department of Clinical Laboratory,Nanjing Maternity and Child Health Care Hospital,Women’s Hospital of Nanjing Medical University,Nanjing 210004,China
  • Received:2022-12-23 Revised:2022-12-21 Accepted:2022-12-23 Online:2023-11-20 Published:2023-11-20

摘要: 目的  探讨乳腺癌病人组织中人类泛素偶联酶E2C(UBE2C)及非转移细胞基因2(NME2)的表达,并分析其作为乳腺癌预后评估模型的临床应用价值。方法 通过基因表达谱数据动态分析(GEPIA)在线网站分析1085例乳腺癌组织和291例正常对照组织中UBE2C、NME2表达;利用Kaplan-Meier Plotter在线网站分析UBE2C、NME2表达与乳腺癌病人(1070例)生存情况。选取2018年1月~2019年12月本院127例乳腺癌病人为研究对象。检测组织中UBE2C、NME2水平,并分析与乳腺癌病人临床病理特征的关系;采用多因素Cox回归模型对乳腺癌不良预后的危险因素进行分析;采用受试者工作特征曲线评估模型对乳腺癌不良预后的诊断效能。结果 GEPIA在线网站数据提示,乳腺癌组织中UBE2C、NME2蛋白表达水平高于对照组,差异有统计学意义(P<0.05);生存曲线分析显示,UBE2C、NME2表达水平增加,病人生存率降低(Logrank P分别为0.029,0.013)。乳腺癌组织中UBE2C、NME2阳性表达率在不同淋巴结转移、临床分期以及病理分级的病人中进行比较,差异有统计学意义(χ2=7.826,4.116,5.460,P=0.005,0.042,0.019;χ2=4.400,6.211,11.63,P=0.036,0.013,0.001);回归模型分析显示,淋巴结转移、临床分期Ⅲ~Ⅳ期、病理分级G3级及UBE2C阳性表达、NME2阳性表达是乳腺癌病人不良预后的危险因素(P=0.031,0.018,0.016,0.019,0.001),由此构建模型组曲线下面积(AUC)0.835,灵敏度为0.7403,特异度为0.9412;验证组AUC为0.826,灵敏度为0.8800,特异度为0.8400。结论 乳腺癌病人组织中UBE2C、NME2升高,与淋巴结转移、临床分期、病理分级及乳腺癌不良预后密切相关。由此构建的预警模型对预测乳腺癌不良预后具有重要的临床价值。

关键词: 乳腺癌, 人类泛素偶联酶E2C, 非转移细胞基因2, 预后, 生物标志物

Abstract: Objective To investigate the relationship between the expression of human ubiquitin-conjugating enzyme E2C(UBE2C),non-metastatic cell gene 2(NME2) and the clinicopathological features of breast cancer and its prognostic value.Methods The expression of UBE2C and NME2 in 1085 cases of breast cancer tissues and 291 cases of normal tissues were analyzed by GEPIA online website.The Kaplan-Merier Plotter online website was used to analyze the expression of UBE2C and NME2 and the survival of 1070 patients with breast cancer.Furthermore,one hundred and twenty-seven breast cancer patients admitted to our hospital from January 2018 to December 2019 were selected as the study subjects,and 51 healthy women who underwent physical examination in our hospital during the same period were selected as the normal control group.The levels of UBE2C and NME2 were detected,and the relationship between the levels of UBE2C and NME2 in patients with breast cancer and clinicopathological characteristics was analyzed.Multivariate Cox regression model was used to analyze the prognostic risk factors of breast cancer.The receiver operating characteristic curve was used to evaluate the efficacy of the model in predicting the poor prognosis of breast cancer.Results  GEPIA online website data showed that the expression levels of UBE2C and NME2 protein in breast cancer tissues were higher than those in the normal group,with a statistically significant difference(P<0.05).Survival curve analysis showed that with the increase of UBE2C and NME2 expression levels,the survival rate of patients decreased(P=0.029,0.013,respectively).The positive expression rates of UBE2C and NME2 in breast cancer tissues were significantly different among patients with lymph node metastasis,clinical stage and pathological grade(χ2=7.826,4.116,5.460,P=0.005,0.042,0.019;χ2=4.400,6.211,11.63;P=0.036,0.013,0.001).Cox regression analysis showed that lymph node metastasis,clinical stage Ⅲ~Ⅳ,pathological grade G3 and UBE2C positive expression,NME2 positive expression were the risk factors for poor prognosis of breast cancer patients(P=0.031,0.018,0.016,0.019,0.001).Area under curve was 0.835,and the sensitivity was 0.740 3,the specificity was 0.941 2.The AUC of the validation group is 0.826,the sensitivity was 0.8800,and the specificity was 0.840 0.Conclusion The levels of UBE2C and NME2 in breast cancer patients are increased,and their expression is related to lymph node metastasis,clinical stage,pathological grade and poor prognosis of breast cancer.The constructed prediction model of breast cancer has an important clinical value for predicting the poor prognosis of breast cancer patients.

Key words: breast cancer, ubiquitin conjugating enzyme E2C, non-metastatic cell gene 2, prognostic value, biomarkers

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