Department of Molecular Biology, The Maria Sklodowska-Curie Memorial Cancer Centre and Institute of Oncology, W.K. Roentgena 5, Warsaw, Poland.
Clin Biochem. 2012 Mar;45(4-5):368-71. doi: 10.1016/j.clinbiochem.2012.01.001. Epub 2012 Jan 13.
To date no suitable reference genes have been identified in carcinosarcomas and non-epithelial malignant tumors of corpus uteri for normalizing real-time RT-PCR (qRT-PCR) assays. The purpose of this study was to select appropriate references for gene expression studies in these tumors.
We used RNA extracts from 75 tissue samples, representing 50 tumors and 25 fragments of normal uterine tissues obtained from 50 patients treated for mixed tumors, smooth muscle sarcoma and stromal sarcoma of the uterus. qRT-PCR for five potential reference (housekeeping) genes, namely B2M, HMBS, HPRT1, TBP and UBC, was performed. The expression stability of these genes was assayed using geNorm software application.
The analysis of gene expression data with geNorm identified HPRT1 as the most stable reference gene, followed by UBC and HMBS, for all the investigated tissues. When stratified by disease, the results still pointed at HPRT1 as the gene that retained the greatest robustness in mixed tumors as well as in smooth muscle and stromal sarcomas.
Our work is the first report on reference gene selection for qRT-PCR applications in mixed tumors, smooth muscle sarcoma and stromal sarcoma of the uterus. A ranking of candidate genes' stability values for the three types of tumors is provided and might serve as a valuable guide for future gene expression studies of these rare entities.
迄今为止,尚未在子宫体的癌肉瘤和非上皮性恶性肿瘤中找到合适的参考基因来对实时 RT-PCR(qRT-PCR)测定进行标准化。本研究的目的是为这些肿瘤的基因表达研究选择合适的参考基因。
我们使用了来自 75 个组织样本的 RNA 提取物,这些样本代表了 50 个肿瘤和 25 个来自 50 名混合性肿瘤、平滑肌肉肉瘤和子宫间质肉瘤患者的正常子宫组织片段。对五个潜在的参考(管家)基因(B2M、HMBS、HPRT1、TBP 和 UBC)进行了 qRT-PCR。使用 geNorm 软件应用程序对这些基因的表达稳定性进行了检测。
使用 geNorm 对基因表达数据的分析确定 HPRT1 是所有研究组织中最稳定的参考基因,其次是 UBC 和 HMBS。按疾病分层,结果仍表明 HPRT1 是混合性肿瘤、平滑肌肉肉瘤和间质肉瘤中最稳健的基因。
我们的工作是首次报道了混合性肿瘤、平滑肌肉肉瘤和间质肉瘤中 qRT-PCR 应用的参考基因选择。为三种肿瘤的候选基因稳定性值进行了排序,并可能为这些罕见实体的未来基因表达研究提供有价值的指导。