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利用微卫星PCR标记对人类乳腺癌3号染色体改变进行定位——与临床变量的相关性

Mapping of chromosome-3 alterations in human breast-cancer using microsatellite PCR markers - correlation with clinical-variables.

作者信息

Eiriksdottir G, Bergthorsson J, Sigurdsson H, Gudmundsson J, Skirnisdottir S, Egilsson V, Barkardottir R, Ingvarsson S

机构信息

UNIV & NATL HOSP ICELAND,DEPT PATHOL,IS-121 REYKJAVIK,ICELAND. UNIV & NATL HOSP ICELAND,DEPT ONCOL,IS-121 REYKJAVIK,ICELAND.

出版信息

Int J Oncol. 1995 Feb;6(2):369-75. doi: 10.3892/ijo.6.2.369.

DOI:10.3892/ijo.6.2.369
PMID:21556547
Abstract

Human breast tumours were analyzed with polymorphic microsatellite markers specific to chromosome 3p. Allelic imbalance (AI) was observed in 34% of the tumours. Microsatellite markers from two regions showed higher percentage of imbalance suggesting the presence of tumour suppressor genes or genes important for malignancy. Microsatellite instability was also found, implying errors in DNA replication. No significant correlation was found between AI and conventional prognostic variables. However, a striking correlation was found between AI and tumour S-phase fraction; AI was also significantly correlated with low steroid receptor content. A multivariate model including prognostic variables, showed that AI was without exception a significant prognostic variable; patients having tumours with AI had approximately a four-fold increase in relative risk of death. We conclude that screening for 3p deletions gives prognostic information and further investigations should reveal whether this finding could assist in treatment of the disease.

摘要

使用针对3号染色体短臂的多态性微卫星标记对人类乳腺肿瘤进行分析。在34%的肿瘤中观察到等位基因不平衡(AI)。来自两个区域的微卫星标记显示出更高的不平衡百分比,提示存在肿瘤抑制基因或对恶性肿瘤重要的基因。还发现了微卫星不稳定性,这意味着DNA复制存在错误。未发现AI与传统预后变量之间存在显著相关性。然而,发现AI与肿瘤S期分数之间存在显著相关性;AI也与低类固醇受体含量显著相关。一个包含预后变量的多变量模型显示,AI无一例外是一个显著的预后变量;患有AI肿瘤的患者死亡相对风险增加约四倍。我们得出结论,筛查3p缺失可提供预后信息,进一步的研究应揭示这一发现是否有助于该疾病的治疗。

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Mapping of chromosome-3 alterations in human breast-cancer using microsatellite PCR markers - correlation with clinical-variables.利用微卫星PCR标记对人类乳腺癌3号染色体改变进行定位——与临床变量的相关性
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