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乳腺导管浸润癌中的细胞增殖。与临床和组织病理学变量的相关性。

Cellular proliferation in breast ductal infiltrating carcinoma. Correlation with clinical and histopathological variables.

作者信息

Aranda F I, Laforga J B

机构信息

Department of Pathology, Hospital General Universitario de Alicante, Spain.

出版信息

Pathol Res Pract. 1997;193(10):683-8. doi: 10.1016/s0344-0338(97)80027-1.

Abstract

To evaluate four methods to study cellular proliferation (mitotic count, mitotic index, PCNA and MIB1) in a series of breast ductal invasive cancer NOS, and the possible correlations between these different methods and other pathological variables, we studied 110 ductal invasive carcinomas NOS specimens. Mitoses per 1000 tumor cells and per 10 HPF, and immunostaining for PCNA and MIB1 were evaluated. Other accepted prognostic factors such as tumor size, histologic grade, estrogen and progesterone receptors measured by immunostaining and axillary status were obtained. Correlation between the four methods to evaluate cellular proliferation and these other variables was performed. Mitotic count, mitotic index, PCNA and MIB1 showed a good rate of correlation (r = 0.71-0.53, p < 0.05), with the exception of MIB1-mitotic index which was weak (r = 0.38, p < 0.05). A strong association between cellular proliferation, with independence of the method applied, and histologic grade, ER and PR was obtained. No association was observed with tumor size and lymph node involvement. In conclusion, there was a strong correlation between the four methods to evaluate cellular proliferation. Mitotic count (per 10 HPF) and MIB1 show a better correlation with other morphological variables. None of the evaluated methods are associated with the tumor size and axillary status, suggesting that mitotic count is the most accurate method to analyse cellular proliferation in routine practice.

摘要

为了评估在一系列乳腺导管浸润性癌(非特殊类型,NOS)中研究细胞增殖的四种方法(有丝分裂计数、有丝分裂指数、增殖细胞核抗原[PCNA]和MIB1),以及这些不同方法与其他病理变量之间可能存在的相关性,我们研究了110例乳腺导管浸润性癌(NOS)标本。评估了每1000个肿瘤细胞和每10个高倍视野(HPF)中的有丝分裂情况,以及PCNA和MIB1的免疫染色。获取了其他公认的预后因素,如肿瘤大小、组织学分级、通过免疫染色测量的雌激素和孕激素受体以及腋窝状态。对评估细胞增殖的四种方法与这些其他变量之间进行了相关性分析。有丝分裂计数、有丝分裂指数、PCNA和MIB1显示出良好的相关性(r = 0.71 - 0.53,p < 0.05),但MIB1与有丝分裂指数之间的相关性较弱(r = 0.38,p < 0.05)。在细胞增殖(与所应用的方法无关)与组织学分级、雌激素受体(ER)和孕激素受体(PR)之间获得了强关联。未观察到与肿瘤大小和淋巴结受累之间的关联。总之,评估细胞增殖的四种方法之间存在强相关性。有丝分裂计数(每10个HPF)和MIB1与其他形态学变量显示出更好的相关性。所评估的方法均与肿瘤大小和腋窝状态无关,这表明在常规实践中,有丝分裂计数是分析细胞增殖最准确的方法。

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