Benny Björkblom

Background Depression and treatment with antidepressant medication is common in patients with malignant glioma. However, the extent to which antidepressants may affect the disease is not fully understood. Therefore, the purpose of the present study was to investigate possible associations between treatment with antidepressant medication and survival in glioma patients. Methods We performed a registry-based cohort study including 1231 patients with malignant glioma (WHO grades 2, 3, and 4) having undergone surgery, and 6400 matched controls without glioma. All data were extracted from the RISK North database, which contains information from multiple national population-based registries in Sweden. Results Treatment with antidepressants is more common in patients with malignant glioma (27%), compared to controls (16%), P < .001. Treatment with antidepressants after surgery for glioma was significantly associated with poorer survival. These effects were observed both for selective serotonin reuptake inhibitors (SSRIs) and non-SSRIs. In grade 4 glioma, SSRI treatment was associated with a hazard ratio (HR) of 3.32 (95% CI 2.69–4.10, P < .001), and non-SSRI treatment a HR of 3.54 (95% CI 2.52–4.99, P < .001), compared to glioma patients without antidepressants. In grade 2-3 glioma, the HR for SSRI treatment was 3.26 (95% CI 2.19–4.85, P < .001), and for non-SSRI treatment was 7.71 (95% CI 4.22–14.12, P < .001). Conclusions Our results demonstrate a negative association between antidepressant medication and survival in glioma. Further research will be needed to clarify causation.

Background Understanding the trajectory and development of disease is important and the knowledge can be used to find novel targets for therapy and new diagnostic tools for early diagnosis. Methods Large cohorts from different parts of the world are unique assets for research as they have systematically collected plasma and DNA over long-time periods in healthy individuals, sometimes even with repeated samples. Over time, the population in the cohort are diagnosed with many different diseases, including brain tumors. Results Recent studies have detected genetic variants that are associated with increased risk of glioblastoma and lower grade gliomas specifically. The impact for genetic markers to predict disease in a healthy population has been deemed low, and a relevant question is if the genetic variants for glioma are associated with risk of disease or partly consist of genes associated to survival. Both metabolite and protein spectra are currently being explored for early detection of cancer. Conclusions We here present a focused review of studies of genetic variants, metabolomics, and proteomics studied in prediagnostic glioma samples and discuss their potential in early diagnostics.