刘薇, 张翠翠, 李凯. 193例特殊类型肺腺癌的临床特征及预后分析[J]. 中国肿瘤临床, 2013, 40(14): 846-850. DOI: 10.3969/j.issn.1000-8179.2013.14.008
引用本文: 刘薇, 张翠翠, 李凯. 193例特殊类型肺腺癌的临床特征及预后分析[J]. 中国肿瘤临床, 2013, 40(14): 846-850. DOI: 10.3969/j.issn.1000-8179.2013.14.008
Wei LIU, Cuicui ZHANG, Kai LI. Characteristics and prognostic analysis of 193 patients with special type of lung adenocarcinoma[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2013, 40(14): 846-850. DOI: 10.3969/j.issn.1000-8179.2013.14.008
Citation: Wei LIU, Cuicui ZHANG, Kai LI. Characteristics and prognostic analysis of 193 patients with special type of lung adenocarcinoma[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2013, 40(14): 846-850. DOI: 10.3969/j.issn.1000-8179.2013.14.008

193例特殊类型肺腺癌的临床特征及预后分析

Characteristics and prognostic analysis of 193 patients with special type of lung adenocarcinoma

  • 摘要:
      目的  分析“细支气管肺泡癌(bronchioloalveolar carcinoma BAC)及具有其特征的混合型腺癌”(2004年分型)的不利预后因素, 并经2011年肺腺癌新病理分型验证, 确定此类肿瘤的重要预后因素、阐明两种分型在评估临床预后的连贯性。
      方法  回顾性分析天津医科大学附属肿瘤医院1974年3月至2007年5月收治并经病理学或细胞学确诊且随访资料完整的193例BAC及具其特征的混合型腺癌患者资料, 并将其中符合新分型的原位腺癌、微浸润癌与其他类型区别而单独分组, 记录性别、年龄、肿瘤大小、有无肿瘤家族史、吸烟史、TNM分期、临床症状持续时间及治疗方法等因素; 以Kaplan-Meier法计算生存率、Log-rank进行生存率显著性检验、Cox比例回归风险模型进行单因素、多因素分析, 评价各因素对预后的影响。
      结果  全部患者的1年、3年、5年生存率分别为84.3%、60.6%、45.6%, 中位生存期为53个月。单因素分析显示: 确诊时临床分期(P < 0.001)、出现临床症状(P= 0.018)、原发病灶大小(P=0.039)、病理类型(P=0.028)及治疗方法选择(P=0.035)是影响预后的因素; Cox回归多因素分析显示: 仅确诊时临床分期是影响预后的独立因素; 其中符合新分型中的原位腺癌及微浸润癌患者预后最佳。
      结论  BAC及具有其特征的混合型腺癌较其他非小细胞肺癌(NSCLC)预后好、临床表现无特异性, 确诊时的TNM分期是影响预后的独立因素; 在评估临床预后方面, 新肺腺癌分型与2004年分型具有连贯性, 且更细化、更利于指导临床。

     

    Abstract:
      Objective  This work aimed to investigate the negative prognostic factors of bronchioloalveolar carcinoma (BAC) and adenocarcinoma with BAC characteristics, based on the 2004 pathological classification by the World Health Organization (WHO), which were further verified with the new pathological classification of lung adenocarcinoma (WHO 2011), to identify crucial factors that determine the prognosis of BAC and adenocarcinoma with BAC features, and to prove the coherence of the two pathological classifications in assessing clinical prognosis.
      Methods  Upon pathological diagnosis, some of the 193 cases of BAC or adenocarcinoma with BAC features were categorized into adenocarcinoma in situ (AIS) or minimally invasive adenocarcinoma (MIA), based on the 2011 WHO classification. Gender, age, tumor size, familial cancer history, smoking history, TNM stage, symptoms, duration of symptoms, and the choice of treatment were recorded and analyzed for prognosis. The survival rate was calculated by Kaplan-Meier method. Log-rank test was introduced to compare the survival rate. Univariate and multivariate factors for the survival rate were analyzed by Cox proportional hazards regression model.
      Results  The overall 1-, 3- and 5-year survival rates were 84.3%, 60.6%, and 45.6%, respectively. Cox univariate analysis revealed that the tumor size, symptoms, TNM stage, pathological outcomes, and the choice of treatment were all prognostic factors. Cox multivariate analysis revealed that TNM stage was an independent prognostic factor for patients with BAC. Data from patients with AIS and MIA revealed better survival.
      Conclusion  The overall survival rate of BAC and adenocarcinoma with BAC features are superior to that of other non-small cell lung cancer (NSCLC). The clinical symptoms are non-specific compared with other types of NSCLC. Clinical stage at diagnosis is a key prognostic factor, such that early correct diagnosis significantly improves survival. The new classification criteria of WHO, released in 2011, is more elaborate and more conducive to clinical practice.

     

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