临床外科杂志 ›› 2022, Vol. 30 ›› Issue (1): 44-50.doi: 10.3969/j.issn.1005-6483.2022.01.014

• 论著 • 上一篇    下一篇

黏液性乳腺癌的预后影响因素分析与预后模型构建

  

  1. 710036 西安,中国人民解放军空军军医大学西京医院甲乳血管外科
  • 出版日期:2022-01-20 发布日期:2022-01-20
  • 通讯作者: 张聚良,Email:vascularzhang@163.com
  • 基金资助:
    国家自然科学基金青年科学基金项目(81902677);陕西省重点研发计划(2018ZDXM-SF-066)

Analysis of prognostic factors and construction of prognostic models for mucinous breast cancer

  1. Department of Thyroid,Breast and Vascular Surgery,Xijing Hospital,the Fourth Military Medical University,127 Changle West Road,Shanxi,Xi’an 710036, China
  • Online:2022-01-20 Published:2022-01-20

摘要: 目的  分析对比中国和美国黏液性乳腺癌(mucinous breast cancer,MBC)的临床病理特征和预后影响因素,并构建列线图来预测MBC病人的3年、5年和8年生存率。
方法  回顾性分析2004~2012年间我院收治的MBC病人101例的临床病理特征与预后情况;同时从美国国立癌症研究所的监测、流行病学、结果数据库(SEER)中提取2007~2012年间诊断为黏液性乳腺癌的病人5671例,与我院的101例病人基线特征进行对比。以SEER数据库中提取的5671例病人作为建模集,采用Cox等比例回归模型分析确定MBC的独立预后因素,然后将这些因素纳入并构建列线图模型,然后以我院的101例MBC病人作为验证集进行外部验证,验证构建模型对于中国MBC病人的预测效果,采用一致性指数(C-index)、ROC曲线和校正曲线评估模型的可靠性,并通过bootstrap方法进行内部验证,最后通过临床决策曲线分析(decision curve analysis,DCA)来评价模型的临床获益和应用价值。
结果  建模集和验证集的年龄、是否放疗、是否化疗、手术情况、是否第一原发肿瘤、临床分期、T分期均有明显差异。单因素及多因素分析结果显示,年龄、手术情况、放疗情况、T分期以及M分期(P<0.01)均是MBC病人预后的独立危险因素。将这些因素纳入并建立列线图预测模型,建模集C-index=0.87,验证集外部验证C-index=0.71,bootstrap法内部验证C-index=0.81,ROC曲线显示模型的区分度较好,校准曲线显示列线图预测的生存率与实际生存率接近,DCA显示模型的临床获益及应用价值较高。
结论  列线图能准确预测我国MBC病人的预后,为临床的诊疗提供科学依据。

关键词: 黏液性乳腺癌, 预后, 列线图, 预测模型

Abstract: Objective  To analysize pathological character and prognosis factors of Chinese and American MBC patients,and constructing a nomogram for forecasting 3-year,5-year and 8-year overall survival(OS).
Methods  The clinical data of 5 671 MBC patients diagnosed from 2007 to 2012 were extracted from SEER database,which was assigned to modeling set.A retrospective analysis was performed on 101 MBC cases from Xijing hospital in China from 2004 to 2012,which was assigned to validation set.The clinical baseline characteristics of patients in modeling set and validation set were compared,and the independent risk factors for the overall survival(OS) were screened by Cox equal proportional regression model.Based on the results of multiple regression analysis of the modeling set Cox model,the nomogram models for predicting the OS were constructed.the reliability of the predictions obtained from the models were evaluated by C-index,ROC curve and calibration curve.Finally,the clinical benefit and application value of the model were evaluated by clinical decision curve analysis(DCA).
Results  There were no significant difference in the baseline characteristic between the patients in modeling set and validation set except age,surgery,whether first primary tumor,T stage,chemotherapy and radiotherapy.The results of analysis showed that age,surgery,radiation,T stage and M stage were independent risk factors for OS in MBC patients.Based on the above variables,the nomogram models were constructed and evaluated.The C-index of model in modeling set was 0.87,The C-index of model in validation set was 0.71,and the C-index of model for internal validation was 0.81.Moreover,the ROC curve analysis showed that prediction model had a relatively high accuracy and the calibration curve analysis showed that model predicted OS had a good consistency with the actual observed values.Finally,the clinical decision curve analysis showed that model can bring clinical benefit.
Conclusion  A nomogram can accurately predict the prognosis of MBC patients in China and provide scientific basis for clinical diagnosis and treatment.

Key words: mucinous breast cancer, prognosis, nomogram, prediction model

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