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预测M0期炎性乳腺癌术后生存的新N分期系统
引用本文:隋大星,王雪莹,章佳新. 预测M0期炎性乳腺癌术后生存的新N分期系统[J]. 肿瘤防治研究, 2022, 49(8): 799-805. DOI: 10.3971/j.issn.1000-8578.2022.21.1532
作者姓名:隋大星  王雪莹  章佳新
作者单位:1. 116000 大连,大连医科大学研究生院;2. 225000 扬州,苏北人民医院甲乳外科
摘    要:目的 结合转移淋巴结数目和转移淋巴结比率,为术后M0期的炎性乳腺癌患者建立新的N分期系统。方法 基于SEER数据库中的炎性乳腺癌患者数据,计算出转移淋巴结数目和转移淋巴结比率的最佳截断值,形成新N分期系统。将新N分期系统与美国癌症联合会制定的第8版乳腺癌TNM分期系统进行比较,构建列线图预后模型并加以验证。结果 新N分期系统对M0期炎性乳腺癌患者术后生存的预测性能优于传统N分期系统。列线图预后模型显示出优秀的临床效能,一致性指数达0.711。结论 新N分期系统对M0期炎性乳腺癌患者的术后生存具有良好的预测性能,能更加精准地反映预后。

关 键 词:炎性乳腺癌  预后  分期  SEER数据库  
收稿时间:2021-12-30

A New N-staging System for Predicting Postoperative Survival of M0 Stage Inflammatory Breast Cancer
SUI Daxing,WANG Xueying,ZHANG Jiaxin. A New N-staging System for Predicting Postoperative Survival of M0 Stage Inflammatory Breast Cancer[J]. Cancer Research on Prevention and Treatment, 2022, 49(8): 799-805. DOI: 10.3971/j.issn.1000-8578.2022.21.1532
Authors:SUI Daxing  WANG Xueying  ZHANG Jiaxin
Affiliation:1. Graduate School, Dalian Medical University, Dalian 116000, China; 2. Department of Thyroid and Breast Surgery, Subei Peoplp’s Hospital, Yangzhou 225000, China
Abstract:Objective To establish a new N-stage system combining the number of metastatic lymph nodes and the ratio of metastatic lymph nodes for postoperative M0 stage inflammatory breast cancer patients. Methods Based on the data of inflammatory breast cancer patients in the SEER database, the number of metastatic lymph nodes and the ratio of metastatic lymph nodes were calculated. A new N-staging system was established and compared with the 8th edition of AJCC TNM staging system of breast cancer. The nomograph prognostic model was constructed and validated. Results The prediction performance of the new N-staging system for postoperative survival of M0 inflammatory breast cancer patients was better than the traditional N-staging system. The nomograph prognostic model showed an excellent clinical efficacy with a consistency index of 0.711. Conclusion The new N-staging system has good predictive performance for postoperative survival of M0 inflammatory breast cancer patients and can accurately reflect the prognosis.
Keywords:Inflammatory breast neoplasms  Prognosis  Staging  SEER database  
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