Kurowska Natalia, Strzalka-Mrozik Barbara, Madej Marcel, Pająk Klaudia, Kruszniewska-Rajs Celina, Kaspera Wojciech, Gola Joanna Magdalena
Department of Molecular Biology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055 Katowice, Poland.
Department of Neurosurgery, Regional Hospital, Medical University of Silesia, 41-200 Sosnowiec, Poland.
Cancers (Basel). 2022 Apr 8;14(8):1876. doi: 10.3390/cancers14081876.
Genes associated with the TGFβ isoforms are involved in a number of different cancers, and their effect on the progression of brain tumors is also being discussed. Using an oligonucleotide microarray method, we assessed differences in expression patterns of genes in astrocytic brain tumor sections from 43 patients at different stages of disease. Quantitative mRNA assessment of the three TGFβ isoforms was also performed by real-time RT-qPCR. Oligonucleotide microarray data were analyzed using the PL-Grid Infrastructure. The microarray analysis showed a statistically significant (p < 0.05) increase in TGFβ1 and TGFβ2 expression in G3/G4 stage relative to G2, whereas real-time RT-qPCR validation confirmed this change only for the TGFβ2 isoform (p < 0.05). The oligonucleotide microarray method allowed the identification of 16 differential genes associated with TGFβ isoforms. Analysis of the STRING database showed that the proteins encoded by the analyzed genes form a strong interaction network (p < 0.001), and a significant number of proteins are involved in carcinogenesis. Differences in expression patterns of transcripts associated with TGFβ isoforms confirm that they play a role in astrocytic brain tumor transformation. Quantitative assessment of TGFβ2 mRNA may be a valuable method to complement the diagnostic process in the future.
与转化生长因子β（TGFβ）亚型相关的基因涉及多种不同癌症，它们对脑肿瘤进展的影响也在讨论之中。我们采用寡核苷酸微阵列方法，评估了43例处于疾病不同阶段的星形细胞脑肿瘤切片中基因表达模式的差异。还通过实时逆转录定量聚合酶链反应（RT-qPCR）对三种TGFβ亚型进行了mRNA定量评估。寡核苷酸微阵列数据使用PL-Grid基础设施进行分析。微阵列分析显示，相对于G2期，G3/G4期TGFβ1和TGFβ2表达有统计学显著升高（p < 0.05），而实时RT-qPCR验证仅证实了TGFβ2亚型的这种变化（p < 0.05）。寡核苷酸微阵列方法鉴定出16个与TGFβ亚型相关的差异基因。STRING数据库分析表明，所分析基因编码的蛋白质形成了一个强大的相互作用网络（p < 0.001），且大量蛋白质参与致癌过程。与TGFβ亚型相关的转录本表达模式差异证实它们在星形细胞脑肿瘤转化中发挥作用。TGFβ2 mRNA的定量评估可能是未来补充诊断过程的一种有价值的方法。
