APNG as a prognostic marker in patients with glioblastoma.

AIM: Expression of the base excision repair enzyme alkylpurine-DNA-N-glycosylase (APNG) has been correlated to temozolomide resistance. Our aim was to evaluate the prognostic value of APNG in a population-based cohort with 242 gliomas including 185 glioblastomas (GBMs). Cellular heterogeneity of GBMs was taken into account by excluding APNG expression in non-tumor cells from the analysis. METHODS: APNG expression was evaluated using automated image analysis and a novel quantitative immunohistochemical (IHC) assay (qIHC), where APNG protein expression was evaluated through countable dots. Non-tumor cells were excluded using an IHC/qIHC double-staining. For verification, APNG was measured by a quantitative double-immunofluorescence (IF) assay. As validation APNG mRNA expression was evaluated using independent TCGA data. RESULTS: Using qIHC, high levels of APNG were associated with better overall survival (OS) in univariate (HR = 0.50; P < 0.001) and multivariate analysis (HR = 0.53; P = 0.001). Patients with methylated MGMT promoters and high APNG expression demonstrated better OS, than patients with methylated MGMT promoters and low APNG expression (HR = 0.59; P = 0.08). Retesting the cohort using IF showed similar results in both univariate (HR = 0.61; P = 0.002) and multivariate analysis (HR = 0.81; P = 0.2). The results were supported by data from the TCGA database. CONCLUSIONS: Using two different assays combined with quantitative image analysis excluding non-tumour cells, APNG was an independent prognostic factor among patients with a methylated MGMT promoter. We expect that APNG qIHC can potentially identify GBM patients who will not benefit from treatment with temozolomide.

Chemoresistance and chemotherapy targeting stem-like cells in malignant glioma.

Glioblastoma remains a tumor with a dismal prognosis because of failure of current treatment. Glioblastoma cells with stem cell (GSC) properties survive chemotherapy and give rise to tumor recurrences that invariably result in the death of the patients. Here we summarize the current knowledge on chemoresistance of malignant glioma with a strong focus on GSC. Chemoresistant GSC are the most likely cause of tumor recurrence, but it remains controversial if GSC and under which conditions GSC are more chemoresistant than non-GSC within the tumor. Regardless of this uncertainty, the chemoresistance varies and it is mainly mediated by intrinsic factors. O6-methyl-guanidine methyltransferase (MGMT) remains the most potent mediator of chemoresistance, but disturbed mismatch repair system and multidrug resistance proteins contribute substantially. However, the intrinsic resistance by MGMT expression is regulated by extrinsic factors like hypoxia increasing MGMT expression and thereby resistance to alkylating chemotherapy. The search of new biomarkers helping to predict the tumor response to chemotherapy is ongoing and will complement the already known markers like MGMT.

Novel approaches for quantifying protein biomarkers in gliomas: benefits and pitfalls.

The therapeutic paradigm of gliomas is changing from a general approach towards an individualized and targeted approach. Accordingly, the search for prognostic and predictive biomarkers, as well as the demand for quantitative, feasible and robust methods for biomarker analysis increases. We find that software classifiers can identify and quantify the expression of a given biomarker within different subcellular compartments and that such classifiers can exclude frequently occurring nontumor cells, thereby avoiding potential bias. The use of a quantitative approach provides a continuous measurement of the expression, allowing establishment of new cut-points and identification of patients with specific prognoses. However, some pitfalls must be noted. This article focuses on benefits and pitfalls of novel approaches for quantifying protein biomarkers in gliomas.