Ladekarl M, Jensen V
Stereological Research Laboratory, University of Aarhus, Aarhus C. Denmark.
Virchows Arch. 1995;427(3):265-70. doi: 10.1007/BF00203393.
Reliable prognostic factors are needed to improve the stratification of patients with lymph node-negative breast cancer to different therapy modalities. We investigated the prognostic value of quantitative histopathology in a retrospective study of 98 "low-risk" breast cancer patients (T1+2N0M0) with a median follow-up of 9 years. An interactive video system and stereological and morphometric techniques were used to obtain estimates of four nuclear features (mean volume, mean profile area, volume fraction, and profile density), and two mitotic counts [mitotic profile frequency (MF) and mitotic profile density (MD)]. All measurements were performed in fields of vision sampled systematically from the whole tumour area of a routine histological section. Histological grade, histological type, and oestrogen receptor (ER) status was reassessed, whereas tumour diameter and age at diagnosis were recorded from the files. We found that all quantitative histopathological variables and ER status were correlated with histological grade. Single-factor prognostic analyses showed a highly significant value of MF (2p = 0.001) and a marginally significant value of MD (2p = 0.09), whereas no other variable approached statistical significance (2p > or = 0.25). In a multivariate Cox analysis, MF was the only parameter of significant independent prognostic value (2p = 0.03). Thus, the prognostic value of nuclear features found in previous studies could not be reproduced, whereas the marked value of mitotic counts for prediction of the outcome in patients with breast cancer was confirmed. Mitotic counts are easily obtained and may be of clinical value for identification of high-risk cases among patients with lymph node-negative breast cancer.
需要可靠的预后因素来改善淋巴结阴性乳腺癌患者不同治疗方式的分层。我们在一项对98例“低风险”乳腺癌患者(T1+2N0M0)的回顾性研究中调查了定量组织病理学的预后价值,中位随访时间为9年。使用交互式视频系统以及体视学和形态测量技术来获取四个核特征(平均体积、平均轮廓面积、体积分数和轮廓密度)和两个有丝分裂计数[有丝分裂轮廓频率(MF)和有丝分裂轮廓密度(MD)]的估计值。所有测量均在从常规组织学切片的整个肿瘤区域系统采样的视野中进行。重新评估了组织学分级、组织学类型和雌激素受体(ER)状态,而肿瘤直径和诊断时的年龄则从病历中记录。我们发现所有定量组织病理学变量和ER状态均与组织学分级相关。单因素预后分析显示MF具有高度显著价值(P = 0.001),MD具有边缘显著价值(P = 0.09),而其他变量均未达到统计学显著性(P≥0.25)。在多变量Cox分析中,MF是唯一具有显著独立预后价值的参数(P = 0.03)。因此,先前研究中发现的核特征的预后价值无法重现,而有丝分裂计数对乳腺癌患者预后预测的显著价值得到了证实。有丝分裂计数易于获得,对于识别淋巴结阴性乳腺癌患者中的高危病例可能具有临床价值。