Systems Biology Research Centre, School of Life Sciences, University of Skövde, SE-54128 Skövde, Sweden.
Cancer Cell Int. 2011 Jun 27;11(1):20. doi: 10.1186/1475-2867-11-20.
Genomic alterations are common features of cancer cells, and some of these changes are proven to be neoplastic-specific. Such alterations may serve as valuable tools for diagnosis and classification of tumors, prediction of clinical outcome, disease monitoring, and choice of therapy as well as for providing clues to the location of crucial cancer-related genes.Endometrial carcinoma (EC) is the most frequently diagnosed malignancy of the female genital tract, ranking fourth among all invasive tumors affecting women. Cytogenetic studies of human ECs have not produced very conclusive data, since many of these studies are based on karyotyping of limited number of cases and no really specific karyotypic changes have yet been identified. As the majority of the genes are conserved among mammals, the use of inbred animal model systems may serve as a tool for identification of underlying genes and pathways involved in tumorigenesis in humans. In the present work we used spectral karyotyping (SKY) to identify cancer-related aberrations in a well-characterized experimental model for spontaneous endometrial carcinoma in the BDII rat tumor model.
Analysis of 21 experimental ECs revealed specific nonrandom numerical and structural chromosomal changes. The most recurrent numerical alterations were gains in rat chromosome 4 (RNO4) and losses in RNO15. The most commonly structural changes were mainly in form of chromosomal translocations and were detected in RNO3, RNO6, RNO10, RNO11, RNO12, and RNO20. Unbalanced chromosomal translocations involving RNO3p was the most commonly observed structural changes in this material followed by RNO11p and RNO10 translocations.
The non-random nature of these events, as documented by their high frequencies of incidence, is suggesting for dynamic selection of these changes during experimental EC tumorigenesis and therefore for their potential contribution into development of this malignancy. Comparative molecular analysis of the identified genetic changes in this tumor model with those reported in the human ECs may provide new insights into underlying genetic changes involved in EC development and tumorigenesis.
基因组改变是癌细胞的常见特征,其中一些变化已被证明是肿瘤特异性的。这些改变可作为肿瘤诊断、分类、临床结局预测、疾病监测、治疗选择的有价值工具,也可为关键癌症相关基因的定位提供线索。子宫内膜癌(EC)是女性生殖道最常诊断出的恶性肿瘤,在影响女性的所有侵袭性肿瘤中排名第四。人类EC的细胞遗传学研究尚未得出非常确凿的数据,因为许多此类研究基于有限数量病例的核型分析,尚未发现真正特异性的核型变化。由于大多数基因在哺乳动物中是保守的,使用近交动物模型系统可作为识别参与人类肿瘤发生的潜在基因和途径的工具。在本研究中,我们使用光谱核型分析(SKY)在BDII大鼠肿瘤模型中一个特征明确的自发性子宫内膜癌实验模型中识别癌症相关畸变。
对21例实验性EC的分析揭示了特定的非随机数字和结构染色体变化。最常见的数字改变是大鼠染色体4(RNO4)增加和RNO15丢失。最常见的结构变化主要是染色体易位形式,在RNO3、RNO6、RNO10、RNO11、RNO12和RNO20中检测到。涉及RNO3p的不平衡染色体易位是该材料中最常观察到的结构变化,其次是RNO11p和RNO10易位。
这些事件的非随机性质,如其高发生率所证明的,表明在实验性EC肿瘤发生过程中对这些变化进行了动态选择,因此表明它们对这种恶性肿瘤发展的潜在贡献。将该肿瘤模型中识别出的基因变化与人类EC中报道的基因变化进行比较分子分析,可能为EC发展和肿瘤发生所涉及的潜在基因变化提供新的见解。