Mitophagy-Related Cell Death Mediated by Vacquinol-1 and TRPM7 Blockade in Glioblastoma IV

Glioblastoma IV (GBM) is one of the deadliest malignant diseases in adults and is characterized by a high mutation rate and multiple traits to suppress inborn and acquired immunity. We here approached autophagy-related cell death in newly established GBM cell lines derived from individual tumor isolates. Treatment with a small molecule, termed Vacquinol-1 (Vac) exhibited 100% GBM cell death, which was related to mitochondrial dysfunction, calcium-induced endoplasmic reticulum (ER)-stress, and autophagy. The toxicity of Vac was significantly increased by the inhibition of transient receptor potential cation channel, subfamily M, member 7 (TRPM7). TRPM7 is overexpressed in GBM as well as in many other tumors and thus may be a potential target by the natural compound carvacrol. Of note, at higher concentrations, Vac also induced growth inhibition and cell death in non-transformed cell types. However, in the presence of the TRPM7 inhibitor carvacrol, the tumor-selective effect of Vac was very much increased. Results given in the present study are based on long-term video microscopy using IncuCyteZOOM®, calcium measurements, and 3D ultrastructural analysis using the cryofixed material

Immune phenotypes predict survival in patients with glioblastoma multiforme

Background: Glioblastoma multiforme (GBM), a common primary malignant brain tumor, rarely disseminates beyond the central nervous system and has a very bad prognosis. The current study aimed at the analysis of immunological control in individual patients with GBM. Methods: Immune phenotypes and plasma biomarkers of GBM patients were determined at the time of diagnosis using flow cytometry and ELISA, respectively. Results: Using descriptive statistics, we found that immune anomalies were distinct in individual patients. Defined marker profiles proved highly relevant for survival. A remarkable relation between activated NK cells and improved survival in GBM patients was in contrast to increased CD39 and IL-10 in patients with a detrimental course and very short survival. Recursive partitioning analysis (RPA) and Cox proportional hazards models substantiated the relevance of absolute numbers of CD8 cells and low numbers of CD39 cells for better survival. Conclusions: Defined alterations of the immune system may guide the course of disease in patients with GBM and may be prognostically valuable for longitudinal studies or can be applied for immune intervention

Immune phenotypes predict survival in patients with glioblastoma multiforme

Abstract Background Glioblastoma multiforme (GBM), a common primary malignant brain tumor, rarely disseminates beyond the central nervous system and has a very bad prognosis. The current study aimed at the analysis of immunological control in individual patients with GBM. Methods Immune phenotypes and plasma biomarkers of GBM patients were determined at the time of diagnosis using flow cytometry and ELISA, respectively. Results Using descriptive statistics, we found that immune anomalies were distinct in individual patients. Defined marker profiles proved highly relevant for survival. A remarkable relation between activated NK cells and improved survival in GBM patients was in contrast to increased CD39 and IL-10 in patients with a detrimental course and very short survival. Recursive partitioning analysis (RPA) and Cox proportional hazards models substantiated the relevance of absolute numbers of CD8 cells and low numbers of CD39 cells for better survival. Conclusions Defined alterations of the immune system may guide the course of disease in patients with GBM and may be prognostically valuable for longitudinal studies or can be applied for immune intervention

Immune phenotypes predict survival in patients with glioblastoma multiforme

Background: Glioblastoma multiforme (GBM), a common primary malignant brain tumor, rarely disseminates beyond the central nervous system and has a very bad prognosis. The current study aimed at the analysis of immunological control in individual patients with GBM. Methods: Immune phenotypes and plasma biomarkers of GBM patients were determined at the time of diagnosis using flow cytometry and ELISA, respectively. Results: Using descriptive statistics, we found that immune anomalies were distinct in individual patients. Defined marker profiles proved highly relevant for survival. A remarkable relation between activated NK cells and improved survival in GBM patients was in contrast to increased CD39 and IL-10 in patients with a detrimental course and very short survival. Recursive partitioning analysis (RPA) and Cox proportional hazards models substantiated the relevance of absolute numbers of CD8 cells and low numbers of CD39 cells for better survival. Conclusions: Defined alterations of the immune system may guide the course of disease in patients with GBM and may be prognostically valuable for longitudinal studies or can be applied for immune intervention

Additional file 3: Table S2. of Immune phenotypes predict survival in patients with glioblastoma multiforme

Multivariable proportional hazards model. (DOCX 25 kb

Additional file 4: Figure S2. of Immune phenotypes predict survival in patients with glioblastoma multiforme

CD39 expression in GBM tumor lysate. (DOCX 206 kb

Additional file 1: Figure S1. of Immune phenotypes predict survival in patients with glioblastoma multiforme

GBM patients before and after steroid administration. (DOCX 690 kb

Additional file 5: Figure S3. of Immune phenotypes predict survival in patients with glioblastoma multiforme

Absolute numbers of leukocytes. (DOCX 163 kb

Additional file 6: Figure S4. of Immune phenotypes predict survival in patients with glioblastoma multiforme

Recursive Partitioning Analysis (RPA). (DOCX 94.7 kb