Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA.
Cancer. 2010 Feb 1;116(3):659-69. doi: 10.1002/cncr.24831.
Although grading has prognostic significance for many tumor types, a prognostically significant grading system for lung adenocarcinoma has not yet been established. The aim of this study was to evaluate histologic characteristics included in tumor grading systems, establish optimal cutoff values that have the strongest association with overall survival, and develop a grading system incorporating the histopathologic characteristics that the authors found to have prognostic significance in patients with lung adenocarcinoma.
The authors studied lung adenocarcinomas from 85 consecutive patients, and evaluated the percentage of solid pattern (as a reflection of tumor architecture), the degree of cytologic atypia, and the mitotic count.
In univariate analysis, overall survival was associated significantly with sex (P = .045), age (P = .0008), tumor status (P < .0001), lymph node status (P = .02), solid pattern (P = .046), and cytologic atypia (P = .01), but not with mitotic count (P = .26). On the basis of optimal cutoff values, the authors found that a solid pattern > or = 90% and severe cytologic atypia were the best discriminators of worse outcome. A grading score, computed as the sum of the architecture score and cytologic atypia score (2 = well differentiated, 3 = moderately differentiated, 4 = poorly differentiated), was a significant predictor of overall survival in univariate analysis (median overall survival times, 72.4, 39.5, and 8.7 months for well, moderately, and poorly differentiated adenocarcinoma, respectively; P = .0001). Moreover, grading was an independent predictor of survival in multivariate analysis (P = .002).
The authors describe a grading system that incorporates the percentage of solid pattern and degree of the cytologic atypia that is an independent predictor of survival in patients with lung adenocarcinoma.
虽然分级对许多肿瘤类型具有预后意义,但尚未建立具有预后意义的肺腺癌分级系统。本研究旨在评估肿瘤分级系统中包含的组织学特征,确定与总生存期关联最强的最佳截断值,并建立一个包含组织病理学特征的分级系统,这些特征作者发现与肺腺癌患者的预后具有相关性。
作者研究了 85 例连续肺腺癌患者,评估了实性模式的百分比(反映肿瘤结构)、细胞异型性程度和有丝分裂计数。
单因素分析显示,总生存期与性别(P =.045)、年龄(P =.0008)、肿瘤状态(P <.0001)、淋巴结状态(P =.02)、实性模式(P =.046)和细胞异型性(P =.01)显著相关,但与有丝分裂计数(P =.26)无关。基于最佳截断值,作者发现实性模式> = 90%和严重细胞异型性是判断预后不良的最佳指标。分级评分是根据结构评分和细胞异型性评分之和计算的(2 = 分化良好,3 = 中度分化,4 = 低分化),在单因素分析中是总生存期的显著预测因子(总生存期中位数,分化良好、中度和低分化腺癌分别为 72.4、39.5 和 8.7 个月;P =.0001)。此外,分级在多因素分析中是独立的生存预测因子(P =.002)。
作者描述了一种分级系统,该系统纳入了实性模式的百分比和细胞异型性程度,是肺腺癌患者生存的独立预测因子。