国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (6): 954-959.DOI: 10.3760/cma.j.cn441417-20240724-06015

• 论著 • 上一篇    下一篇

子宫内膜癌组织中增殖基因表达情况与患者病理及预后的关系

郭玉格1  刘维帅2  马平丽1   

  1. 1杨凌示范区医院妇产科,咸阳 712100;2杨凌示范区医院病理科,咸阳 712100

  • 收稿日期:2024-07-24 出版日期:2025-03-15 发布日期:2025-03-17
  • 通讯作者: 刘维帅,Email:liuweishuaiyou@163.com
  • 基金资助:

    陕西省自然科学基础研究计划(2021JQ-912)

Relationship between proliferative gene expression in endometrial cancer tissue and patient pathology and prognosis

Guo Yuge1, Liu Weishuai2, Ma Pingli1   

  1. 1 Department of Gynecology and Obstetrics, Yangling Demonstration Zone Hospital, Xianyang 712100, China; 2 Department of Pathology, Yangling Demonstration Zone Hospital, Xianyang 712100, China

  • Received:2024-07-24 Online:2025-03-15 Published:2025-03-17
  • Contact: Liu Weishuai, Email: liuweishuaiyou@163.com
  • Supported by:

    Basic Research Plan of Natural Science in Shaanxi (2021JQ-912)

摘要:

目的 探讨子宫内膜癌组织中增殖基因表达情况与患者病理及预后的关系。方法 选取杨凌示范区医院2018年1月至2022年1月收治的124例子宫内膜癌患者的临床资料,所有患者术后均随访2年,将肿瘤复发、转移和死亡的患者设为预后不良组(43例),其他患者为预后良好组(81例)。采用t检验和χ2检验进行统计比较。通过实时荧光定量聚合酶链式反应(PCR)法检测患者子宫内膜癌组织中增殖基因[增殖细胞核抗原(PCNA)、细胞周期素Dl(cyclin D1)、细胞周期蛋白依赖激酶4(CDK4)]mRNA的相对表达量,并比较不同临床病理特征的子宫内膜癌患者癌组织增殖基因表达水平。通过logistic回归分析评估患者预后不良的影响因素,并利用受试者操作特征曲线(ROC)分析增殖基因在子宫内膜癌患者预后评估中的应用价值。结果 肿瘤低分化、临床分期Ⅲ期、淋巴结转移患者癌组织中PCNA、cyclin Dl、CDK4的表达量更高,差异均有统计学意义(均P0.05)。随访结果显示,预后不良组患者占比34.68%(43/124);预后不良组PCNA、cyclin Dl、CDK4的表达量分别为3.05±0.56、2.48±0.44、2.14±0.32,预后良好组分别为2.31±0.51、1.79±0.38、1.81±0.24,差异均有统计学意义(均P0.05)。多因素分析表明,肿瘤分化程度、临床分期、淋巴结转移和增殖基因表达量均是影响患者预后的重要因素(均P0.05)。ROC表明,联合检测增殖基因表达量对患者预后预测的曲线下面积为0.970。结论 子宫内膜癌患者癌组织中增殖基因表达情况与预后密切相关。

关键词:

子宫内膜癌, 增殖基因, 临床病理特征, 预后不良

Abstract:

Objective To explore the relationship between proliferative gene expression in endometrial cancer tissue and patient pathology and prognosis. Methods The clinical data of 124 patients with endometrial cancer treated at Yangling Demonstration Zone Hospital from January 2018 to January 2022 were collected. All the patients were followed up for 2 years after the surgery. The patients who experienced cancer recurrence, metastasis, or death were classified into a poor prognosis group (43 cases), while the others were classified into a good prognosis group (81 cases). t and χ2 tests were used for the statistical comparisons. The relative expression levels of proliferation genes [proliferating cell nuclear antigen (PCNA), cyclin D1, and cyclin-dependent kinase 4 (CDK4)] mRNA in the endometrial cancer tissue were measured by the real-time quantitative polymerase chain reaction (PCR), and the expression levels were compared between the patients with different clinicopathological characteristics. The logistic regression analysis was used to evaluate the factors influencing their poor prognosis. The applicability of proliferation genes in the patients' prognostic assessment was analyzed by the receiver operating characteristic curves (ROC). Results The patients with poorly differentiated tumors, clinical stage Ⅲ, and lymph node metastasis had higher expression levels of PCNA, cyclinD1, and CDK4 in cancer tissue, with statistical differences (all P0.05). The follow-up results showed that the proportion of the patients with poor prognosis was 34.68% (43/124). The expression levels of PCNA, cyclinD1, and CDK4 in the poor prognosis group were higher than those in the good prognosis group (3.05±0.56 vs. 2.31±0.51, 2.48±0.44 vs. 1.79±0.38, and 2.14±0.32 vs. 1.81±0.24), with statistical differences (all P0.05). The multivariate analysis showed that the degree of tumor differentiation, stage, lymph node metastasis, and proliferation gene expression were all important factors affecting the patients' prognosis (all P0.05). ROC showed that the area under the curve of combined detection of proliferative gene expression was 0.970. Conclusion Proliferative gene expression in endometrial cancer tissue is correlated with the patients' prognosis.

Key words:

Endometrial cancer, Proliferative genes, Clinical pathological features, Poor prognosis