Mary Babb Randolph Cancer Center, Department of Biochemistry, School of Medicine, West Virginia University, Morgantown, WV, USA.
Oncol Rep. 2012 Jan;27(1):286-92. doi: 10.3892/or.2011.1483. Epub 2011 Oct 3.
The aim of this study was to better understand the mechanisms of tumor development and disease progression in human epithelial ovarian cancer. Fifty genes were screened for gene signature; 20 expressed genes were assessed in tumor and normal samples of EOC patients by RT-PCR. Expression of UBE2I, EGF, TAL2 and ILF3 was validated by qPCR on the ABI Prism 7000 Detection System. ERCC1 and XPB expression was previously determined by RT-PCR in these specimens. Statistical analyses include two-sided Kruskal-Wallis test, pairwise comparison, Pearson correlation coefficient and paired t-test. In comparison to normal samples, 6 genes demonstrated distinct expression patterns in tumor tissues, with high expression observed for ERCC1, XPB and ILF3 (p=0.001, 0.0007 and 0.002, respectively) and low expression observed for TAL2 and EGF (both p<0.0001). This differential expression pattern between normal and tumor tissues may reflect in part the development of ovarian cancer. Significant differences in expression patterns of these genes in clear cell, endometrioid, mucinous and serous ovarian cancer were observed. Comparison of expression of any two EOC subtypes revealed multiple gene involvement in histopathological differentiation and cancer progression. A positive association was found between ERCC1 and XPB expression (r=0.53, p<0.0001) and between TAL2 and EGF expression (r=0.817, p<0.0001) suggesting the existence of gene linkage in these tumors. The differences in expression patterns of studied genes between tumors and normal specimens, between histological subtypes and correlations among studied genes, may indicate their involvement in tumor growth and disease progression in human epithelial ovarian cancer. Further investigation of these genes may enable better understanding of the molecular mechanism of tumorigenesis and identification of potential biomarkers.
本研究旨在更好地理解人类上皮性卵巢癌的肿瘤发生和疾病进展的机制。对 50 个基因进行了基因特征筛选；通过 RT-PCR 评估了 EOC 患者肿瘤和正常样本中的 20 个表达基因。通过 ABI Prism 7000 检测系统上的 qPCR 验证了 UBE2I、EGF、TAL2 和 ILF3 的表达。在这些标本中，先前通过 RT-PCR 确定了 ERCC1 和 XPB 的表达。统计分析包括双侧 Kruskal-Wallis 检验、两两比较、皮尔逊相关系数和配对 t 检验。与正常样本相比，肿瘤组织中 6 个基因表现出明显的表达模式，其中 ERCC1、XPB 和 ILF3 表达较高（p=0.001、0.0007 和 0.002），TAL2 和 EGF 表达较低（均 p<0.0001）。这种正常组织和肿瘤组织之间的差异表达模式可能部分反映了卵巢癌的发生。在透明细胞癌、子宫内膜样癌、黏液性癌和浆液性卵巢癌中观察到这些基因表达模式的显著差异。比较任何两种 EOC 亚型的表达发现，这些基因参与了组织病理学分化和癌症进展。发现 ERCC1 和 XPB 表达之间存在正相关（r=0.53，p<0.0001），TAL2 和 EGF 表达之间存在正相关（r=0.817，p<0.0001），这表明这些肿瘤中存在基因连锁。研究基因在肿瘤和正常标本之间、组织学亚型之间以及研究基因之间的表达模式差异，可能表明它们参与了人类上皮性卵巢癌的肿瘤生长和疾病进展。进一步研究这些基因可能有助于更好地理解肿瘤发生的分子机制，并确定潜在的生物标志物。
