Drug-resistance gene expression and progression of astrocytic tumors

Rat brain proteome in morphine dependence

The aim of this study was to reveal potential markers associated with drug dependence, using the proteomic approach. Gels containing samples derived from morphine-treated and control animals were compared and analyzed. Inspection of protein profiles, following TCA/acetone precipitation and the use of nano-scale liquid chromatography coupled to tandem mass spectrometry, allowed for identification of eleven potential dependence markers, mainly cytoplasmic and mitochondrial enzymes, e.g. proteins that belong to GTPase and GST superfamilies, ATPase, asparaginase or proteasome subunit p27 families.

Immunohistochemical study for O6-methylguanine-DNA methyltransferase in the non-neoplastic and neoplastic components of gliomas

Although the expression O6-methylguanine-DNA methyltransferase (MGMT) is an important hallmark for decision of nitrosourea chemotherapy for glioma patients, no immunohistochemical method for analysis of MGMT has been standardized yet. Gliomas usually contain non-neoplastic cells even deep in the tumor. It is not known which of these components expresses MGMT. To clarify this point, we investigated MGMT expression in the non-neoplastic cells in autopsy and surgical specimens by immunohistochemistry. High grade gliomas were also studied to find a cut-off point for treatment decision. MGMT immunohistochemistry in the normal brain or brain with non-neoplastic disease revealed nuclear staining in some endothelial cells, inflammatory cells, ependymal cells, astrocytes and oligodendroglias. Some cells were double stained with CD68 (macrophages or microglias). The neurons were consistently MGMT-negative. High grade gliomas always contained an MGMT-positive non-neoplastic component. Although, the endothelial cells were easily distinguished from the neoplastic cells, other cells were often mistaken for tumor cells. The population of MGMT-positive non-neoplastic cells was usually less than 10%. We set a cut off-point at 10% between the positive and negative groups because the statistical difference in the overall survival was most distinct at this value. In 51 high grade glioma patients, who received both radiotherapy and chemotherapy with nimustine (ACNU), the median overall survival of the MGMT-negative group (23 months) was significantly longer than that of the MGMT-positive group (14 months) (P < 0.009). Multivariate analysis revealed that the negative MGMT expression was a significant prognostic variable next to the degree of surgical removal for the overall survival. In the MGMT-positive group, addition of platinum-based chemotherapy did not improve the survival.

O6-methylguanine-DNA methyltranspherase gene expression in gliomas by means of real-time quantitative RT-PCR and clinical response to nitrosoureas

O(6)-methylguanine-DNA methyltransferase (MGMT) mRNA expressions were examined in 100 neuroepithelial tumors by real-time quantitative reverse transcription-polymerase chain reaction (RT-PCR) using SYBR Green I. The mean relative quantitation value of MGMTmRNA normalized to the level of beta2-microglobulin for 100 tumors was 5.3 +/- 11.2. The mean value of 41 glioblastomas was significantly higher than that for the other 59 tumors (p = 0.0008 by Student's t-test). In contrast, the means of 19 low-grade gliomas and 12 medulloblastomas were significantly lower than that of other tumors (p = 0.0282 and p = 0.0456 by Student's t-test). Among the 55 retrospective patients who had been treated with 1-(4-amino-2-methyl-5-pyrimidynyl)methyl-3-(2-chloroethyl)- 3-nitrosourea hydrochloride (ACNU), the value was a significant independent predictor of the effect of initial therapy with ACNU (p = 0.0007 by Mann-Whitney U-test) and the survival period (p = 0.0175 by Wald test). The value >or=1 was the most significant factor in predicting the initial effect of treatment by multi-variant regression analysis (p < 0.0001). These results suggest that our individual adjuvant therapy based on MGMTmRNA expression may be improved by the application of real-time quantitative RT-PCR.