• 中国科学论文统计源期刊
  • 中国科技核心期刊
  • 美国化学文摘(CA)来源期刊
  • 日本科学技术振兴机构数据库(JST)

临床输血与检验 ›› 2019, Vol. 21 ›› Issue (6): 626-629.DOI: 10.3969/j.issn.1671-2587.2019.06.019

• 临床检验 • 上一篇    下一篇

21个基因检测评分在乳腺癌复发中的应用效果及影响因素研究*

安丽颖, 王鹏, 冯瑞刚, 李小静, 卜烨, 张晨洁, 李凯敏   

  1. 072750 河北省保定市第二中心医院
  • 收稿日期:2018-04-04 出版日期:2019-12-20 发布日期:2019-12-25
  • 作者简介:安丽颖(1979-),女,河北涿州人,主治医师,本科,主要从事乳腺疾病研究工作,(E-mail)bscnt86@163.com。
  • 基金资助:
    *本课题受河北省卫计委项目(No. 20180967)资助

Values of 21 Genetic Markers Scoring for the Risk of Recurrence in Breast Cancer

AN Li-ying, WANG Peng, FENG Rui-gang, et al   

  1. Baoding Second Central Hospital 072750
  • Received:2018-04-04 Online:2019-12-20 Published:2019-12-25

摘要: 目的 探讨21基因检测复发评分在乳腺癌患者中的应用效果及影响因素。方法 选择2014年6月~2017年8月科室收治的乳腺癌患者90例,入组患者雌激素受体(ER)阳性、人类表皮生长因子受体2(HER2)阴性。患者均行手术治疗,切除病灶组织,采用实时荧光聚合酶链反应(PCR)检测21基因(包括:16个乳腺癌相关基因及5个参考基因)表达,计算21基因复发风险评分。根据21基因复发风险评分将患者分为低危组(n=26例)、中危组(n=30例)和高危组(n=34例),分析21基因检测复发评分与乳腺癌病理的关系并进行多因素Logistic回归分析。结果 单因素结果表明:21基因检测复发评分与乳腺癌患者年龄、病理类型、组织分级、P53、TOPIIa、EGFR、CK5/6及手术方式的关联差异无统计学意义(P>0.05);21基因检测复发评分与乳腺癌患者肿瘤直径、Ki67、PR阳性率的关联有统计学意义(P<0.05);多因素Logistic 回归分析结果表明:21基因检测复发评分与乳腺癌患者肿瘤直径、ki67、PR阳性率的关联有统计学意义(P<0.05)。结论 将21基因检测复发评分用于乳腺癌患者中效果理想,其影响因素较多,加强21基因检测复发评分能评估预后,指导临床治疗。

关键词: 21基因检测复发评分, 乳腺癌, 应用效果, 多因素Logistic回归分析

Abstract: Objective To investigate the value of expression of 21 genes for risk evaluation of recurrence in breast cancer patients. Methods Ninety patients with positive estrogen receptor (ER) and negative human epidermal growth factor receptor 2 (HER2) were investigated from June 2014 to August 2017. All patients underwent cancer surgery. The expression of 21 genes (including 16 breast cancer associated genes and 5 references) was detected by real-time fluorescence polymerase chain reaction,and the results were used for assessments of recurrence risk. The patients were divided into low risk (n=26),intermediate risk (n=30) and high risk groups (n=34) according to the scores and risk of recurrence. The recurrence scores of 21 genetic markers were analyzed with multivariate logistic regression analyses. Results The results of single gene test showed that there were no significant differences of recurrence scores in the 21 gene markers among age,pathological types,histological grades,P53,TOPIIa,EGFR,CK5/6 and surgical methods of breast cancer (P>0.05). The recurrence scores of 21 markers were closely related to the tumor sizes,Ki67 and PR positive rates in the patients (P<0.05). Conclusion Detection of the 21 gene markers and recurrence scoring are useful for early diagnoses and treatments of patients with breast cancer.

Key words: Gene detection, Breast cancer, Evaluation of recurrence, Multivariate Logistic regression analysis

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