Department of Neurosurgery, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai, China.
Cancer Biomark. 2013;13(1):59-66. doi: 10.3233/CBM-130320.
Currently, the transcript abundance of key enzymes for chemotherapy drug metabolism, which may help in predicting the efficacy of a drug, can easily be detected in tumor tissues. However, there has been little research on the enzymes involved in the chemotherapy of gliomas. This study aimed to detect and compare the abundance of glioma chemotherapy drug-associated marker molecules in both gliomas and normal brain tissues and among gliomas of different grades. We examined the transcript abundance of four such marker molecules, MGMT, ERCC1, Topo IIα and Stathmin, in 46 glioma and 6 normal brain tissues. We also compared the abundance of these molecules in normal brain tissues and glioma tissues with different malignancy grades. Furthermore, we described the variation of these molecules in different grades of gliomas by calculating the ratio of their maximum to their minimum. The transcript abundance of MGMT and ERCC1 was significantly higher in normal brain tissues than in glioma tissues. However, the opposite result was observed for Topo IIα. For Stathmin, no significant differences between normal brain tissues and gliomas tissues were found. For all 4 marker molecules, no significant differences were detected between grades of glioma. All four molecules exhibited wide variation in abundance, fluctuating significantly between gliomas. These results suggest that individualized detection and medication may be beneficial for treatment.
目前，在肿瘤组织中很容易检测到与化疗药物代谢相关的关键酶的转录丰度，这些酶可能有助于预测药物的疗效。然而，对于涉及脑胶质瘤化疗的酶的研究甚少。本研究旨在检测和比较不同级别脑胶质瘤组织和正常脑组织中与化疗药物相关的标记分子的丰度。我们检测了 46 例脑胶质瘤和 6 例正常脑组织中四种标记分子 MGMT、ERCC1、Topo IIα 和 Stathmin 的转录丰度。我们还比较了这些分子在正常脑组织和不同恶性程度的胶质瘤组织中的丰度。此外，我们通过计算它们的最大值与最小值的比值来描述这些分子在不同级别胶质瘤中的变化。MGMT 和 ERCC1 的转录丰度在正常脑组织中明显高于脑胶质瘤组织。然而，Topo IIα 的结果则相反。对于 Stathmin，在正常脑组织和脑胶质瘤组织之间未发现显著差异。对于所有 4 种标记分子，在脑胶质瘤的不同级别之间未发现显著差异。所有这四个分子在丰度上均表现出广泛的变化，在胶质瘤之间波动显著。这些结果表明，个体化检测和用药可能对治疗有益。
