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雌激素和孕激素受体表达影响乳腺癌细胞的DNA倍体及增殖潜能。

Oestrogen and progesterone receptor expression influences DNA ploidy and the proliferation potential of breast cancer cells.

作者信息

Andronas M, Dlay S S, Sherbet G V

机构信息

School of Electrical and Electronic Engineering, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, U.K.

出版信息

Anticancer Res. 2003 May-Jun;23(3C):3029-39.

PMID:12926157
Abstract

The influence of oestrogen (ER) and progesterone (PgR) receptor has not been investigated in relation to DNA ploidy and cell proliferation. Here we have investigated a series of 46 breast cancer fine-needle aspirates in order to define the prognostic value of ER/PgR and possible correlations between DNA ploidy, size of the S-phase fraction (SPF) and cell cycle distribution features measured by image cytometry (ICM) and ER/PgR status of the primary tumours. The breast cancers were grouped into ER+/PgR+, ER+/PgR- and ER-/PgR-. Inter-group comparisons were made of DNA ploidy, SPF and the pattern of cell cycle distribution defined by the G0G1/G2M ratio in order to determine the influence of ER and PgR expression on the respective cell features. Our studies suggest that ER and PgR exert differential effects on the cell features examined. This study also analysed the possibility of predicting nodal involvement and 5-year disease-free survival by combining ER/PgR status with DNA ploidy, SPF and G0G1/G2M ratios. A high degree of accuracy was achieved for predicting both nodal involvement and 5-year disease-free survival. These findings suggest that a combination of ER/PgR status with DNA ploidy, SPF and cell cycle distribution provide a powerful marker for disease prognosis.

摘要

尚未研究雌激素(ER)和孕激素(PgR)受体与DNA倍性及细胞增殖之间的关系。在此,我们对46例乳腺癌细针穿刺样本进行了研究,以确定ER/PgR的预后价值,以及通过图像细胞术(ICM)测量的DNA倍性、S期分数(SPF)大小和细胞周期分布特征与原发性肿瘤的ER/PgR状态之间可能存在的相关性。乳腺癌被分为ER+/PgR+、ER+/PgR-和ER-/PgR-三组。为了确定ER和PgR表达对各自细胞特征的影响,对三组之间的DNA倍性、SPF以及由G0G1/G2M比值定义的细胞周期分布模式进行了比较。我们的研究表明,ER和PgR对所检测的细胞特征发挥不同的作用。本研究还分析了通过将ER/PgR状态与DNA倍性、SPF和G0G1/G2M比值相结合来预测淋巴结受累情况和5年无病生存率的可能性。在预测淋巴结受累情况和5年无病生存率方面均达到了高度的准确性。这些发现表明,ER/PgR状态与DNA倍性、SPF和细胞周期分布相结合可为疾病预后提供一个有力的标志物。

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