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小细胞肺癌的预后因素:一个简单的预后指数优于传统分期。

Prognostic factors in small cell lung cancer: a simple prognostic index is better than conventional staging.

作者信息

Vincent M D, Ashley S E, Smith I E

机构信息

Lung Unit, Royal Marsden Hospital, Sutton, Surrey, U.K.

出版信息

Eur J Cancer Clin Oncol. 1987 Nov;23(11):1589-99. doi: 10.1016/0277-5379(87)90436-6.

Abstract

Conventional staging in small cell lung cancer (SCLC) is only of limited prognostic value and is often based on elaborate investigations. We have carried out univariate and multivariate analysis of possible prognostic factors at presentation in 333 consecutive patients with SCLC. Fifteen parameters were found to have individual prognostic significance, of which the most powerful were serum albumin, bone marrow aspirate, disease extent and performance status (all P less than 0.00005). Factors which were not of prognostic significance included age, sex, SVC obstruction, and pleural involvement. Multivariate analysis excluded many factors including bone marrow aspirate as not being independently variable, and a simple combination of clinical performance status, serum albumin and alanine transaminase could be used to define 3 groups (good; medium; poor) of better prognostic significance (survival at 1 year 50% vs. 27% vs. 3%) than conventional limited/extensive disease staging (1 year survival 48% vs. 18%). Other simple combinations of biochemical parameters including plasma sodium and alkaline phosphatase achieved almost as good prognostic groupings. We suggest that consideration should be given to replacing the conventional limited/extensive disease staging system with a simpler system along the lines we have described.

摘要

小细胞肺癌(SCLC)的传统分期预后价值有限,且通常基于复杂的检查。我们对333例连续的SCLC患者就诊时可能的预后因素进行了单因素和多因素分析。发现15个参数具有个体预后意义,其中最具影响力的是血清白蛋白、骨髓穿刺、疾病范围和体能状态(所有P值均小于0.00005)。无预后意义的因素包括年龄、性别、上腔静脉阻塞和胸膜受累。多因素分析排除了许多因素,包括骨髓穿刺并非独立变量,并且临床体能状态、血清白蛋白和丙氨酸转氨酶的简单组合可用于定义3组(良好;中等;差),其预后意义优于传统的局限期/广泛期疾病分期(1年生存率分别为50%、27%、3%,而传统分期为48%、18%)。包括血钠和碱性磷酸酶在内的其他生化参数的简单组合也能达到几乎同样好的预后分组。我们建议应考虑用我们所描述的更简单的系统取代传统的局限期/广泛期疾病分期系统。

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