口腔医学研究

口腔医学研究 ›› 2020, Vol. 36 ›› Issue (2): 167-171.DOI: 10.13701/j.cnki.kqyxyj.2020.02.018

• 口腔肿瘤学研究 • 上一篇    下一篇

基于SEER数据库分析影响大唾液腺腺样囊性癌患者预后的临床病理因素

邹会会1,2, 徐文光1,2, 尹西腾1,2, 韩伟1,2, 江琳琳3*   

  1. 1. 南京大学医学院附属口腔医院口腔颌面外科 江苏 南京 210008;
    2. 南京大学医学院附属口腔医院中心实验室 江苏 南京 210093;
    3. 南京中医药大学附属南京医院(南京市第二医院) 肿瘤内科 江苏 南京 210000
  • 收稿日期:2019-05-22 出版日期:2020-02-28 发布日期:2020-04-24
  • 通讯作者: 江琳琳,E-mail: rabbitjiang@sina.com
  • 作者简介:邹会会(1994~ ),女,安徽蚌埠人,医师,硕士在读,研究方向:口腔颌面外科学。
  • 基金资助:
    江苏省青年医学重点人才(编号:QNRC2016121)

Analysis of Clinical and Pathological Factors Affecting Prognosis of Patients in Major Salivary Glands Adenoid Cystic Carcinoma Based on SEER Database

ZOU Huihui1, 2, XU Wenguang1, 2, YIN Xiteng1, 2, HAN Wei1, 2, JIANG Linlin3*   

  1. 1. Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing 210008, China;
    2. Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing 210093, China;
    3. Department of Medical Oncology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, China
  • Received:2019-05-22 Online:2020-02-28 Published:2020-04-24

PDF (PC)

181

摘要： 目的:利用SEER(Surveillance Epidemiology,and End Results)公共数据库分析大唾液腺腺样囊性癌(Adenoid cystic carcinoma,ACC)患者的临床病理特征与其生存预后的相关性。方法:从SEER公共数据库中下载2004-2015年大唾液腺(腮腺,颌下腺)腺样囊性癌患者数据,对其临床病理特征进行分析,采用单因素和多因素COX模型分析与腺样囊性癌预后相关的关键临床病理参数。结果:本研究共纳入临床随访信息完整的ACC患者共计428例,构建多因素COX模型分析发现,肿瘤部位、T分期、N分期、M分期、组织学分级是影响患者预后的独立因素(P值均＜0.05)。结论:影响大唾液腺ACC患者临床预后的因子包括肿瘤部位、T分期、N分期、M分期、组织学分级,对临床治疗方案的制定具有指导意义。

关键词: 唾液腺, 腺样囊性癌, 预后因素, SEER数据库

Abstract: Objective: investigate the clinicopathological features affecting patients with adenoid cystic carcinoma based on a public database SEER (Surveillance Epidemiology, and End Results). Methods: Data from patients with adenoid cystic carcinoma in major salivary gland from 2004 to 2015 were downloaded from the SEER public database. Both univariate and multivariate COX regression analysis were applied to investigate the key clinicopathological parameters associated with prognosis. Results: A total of 428 ACC patient' data with complete clinical follow-up information were included in the study. The multivariate COX regression analysis proved that tumor site, T stage, N stage, M stage, and histological grade were independent factors affecting the patients prognosis (P<0.05). Conclusion: Tumor site, T stage, N stage, M stage, and histological grade were independent factors affecting the prognosis which would be a great assist for the clinical treatment.

Key words: major salivary gland, adenoid cystic carcinoma, prognostic factors, SEER database