Sphingosine-1-phosphate (S1P), the corresponding kinases SphK1-2, and receptors S1P1-3 and S1P5 are involved in cell survival and growth. Pathway components are overexpressed in many tumors including glioblastoma. Previous studies showed that the expression of SphK1 influenced survival of glioblastoma patients, yet the roles of SphK1-2 and receptors S1P1-3 and S1P5 have not been investigated in different forms of glioblastoma. Samples from 59 patients (37 males, 22 females, age 55.1 ± 17.1 years) suffering from primary (n = 35), recurrent (n = 18), and secondary (n = 6) glioblastomas were analyzed using quantitative real-time PCR and immunohistochemistry for expression levels of SphK1 and SphK2 and S1P1-3 and S1P5. Sixteen autopsy nontumorous brain specimens were used as controls. Expression data was correlated with clinical data and patient survival. All markers were overexpressed in the glioblastoma specimens compared to the non-neoplastic brain tissue. SphK1 and all S1P receptors were expressed in increasing order of magnitude from primary, up to recurrent and secondary glioblastomas, with values of up to 44-fold compared to normal brain tissue. In contrast, SphK2 levels were highest in primary tumors (25-fold). Expression of the sphingosine signaling pathway components was influenced by radio/radiochemotherapy in distinct ways. Immunohistochemistry for SphK1 and S1P1 confirmed the overexpression in glioblastoma. Uni- and multivariate survival analyses identified S1P5 messenger RNA levels as an independent prognostic factor of survival. The sphingosine pathway is overexpressed in glioma. Its components show distinct expression patterns in the tumor subgroups. S1P5 is identified as an independent prognostic factor in multivariate analysis, and this pathway promises to be a candidate for targeted therapies.

Between 2002 and 2005, we made 343 intraoperative frozen section diagnoses with a telepathology system, which connected a neurosurgical department to our department of pathology. An expert neuropathologist performed at least one brief gross examination, and this was followed by a smear preparation and a frozen section slide for each case. Frozen section diagnosis lasted on average 26.1 min, calculated from the beginning of gross examination until the surgeon was given the diagnosis. The majority of cases (283 or 83%) were diagnosed in 15-40 min. The mean time needed for macroscopic examination was 3.0 min, time for staining 4.2 min, smear diagnosis took 5.4 min and time for histological diagnosis 10.7 min. Telemicroscopy of a smear slide took 11 times longer compared with light microscopy, and telemicroscopy of a frozen section slide took 16 times longer than with light microscopy. In 6% of cases, the telepathology software posed technical problems, which delayed the time of diagnosis, but not by more than 4 min. We were able to render a diagnosis in all cases (system reliability 100%). After eliminating sampling errors (i.e. cases with no diagnostic material in the frozen section slides and/or in smear preparations), the diagnostic accuracy for telepathology was 97.9%.

Here, we report on a 28-year old male patient presenting with neck and shoulder pain, dysesthesia of all four limbs and hypesthesia of both hands, without motor deficits. Magnetic resonance imaging showed an intradural, intramedullary mass of the cervical spinal cord of 6.4 cm length and 1.7 cm diameter. The patient underwent surgical resection. Histological and immunohistochemical evaluation showed pleomorphic glial tumor cells, mitoses, calcifications, and atypical ganglioid cells compatible with the morphology of anaplastic ganglioglioma (WHO Grade III). Extensive molecular workup revealed H3F3A K27M, TERT C228T and PDGFRα Y849C mutations indicating poor prognosis. The H3F3A K27M mutation assigned the tumor to the molecular group of diffuse midline glioma (WHO Grade IV). Epigenome-wide methylation profiling confirmed the methylation class of diffuse midline glioma. Thus, this is a very rare case of malignant glioma with H3 K27M genotype phenotypically mimicking anaplastic ganglioglioma. This case emphasizes the importance of comprehensive morphological and molecular workup including methylome profiling for advanced patient care.

Gliomas are the most common intrinsic brain tumors in adults, and in accordance with their clinical behavior and patients’ outcome, they are graded by the World Health Organization (WHO) classification of brain tumors. One very interesting candidate for targeted tumor therapy may be epidermal growth factor receptor (EGFR) amplification. Here, we performed an integrated comparative analysis of EGFR amplification in 34 glioma samples using standard fluorescence in situ hybridization (FISH) and Illumina EPIC Infinium Methylation Bead Chip and correlated results with molecular glioma hallmarks. We found that the EPIC analysis showed the same power of detecting EGFR amplification compared with FISH. EGFR amplification was detectable in high-grade gliomas (25%). Moreover, EGFR amplification was found to be present solely in IDH wildtype gliomas (26%) and TERT mutated gliomas (27%), occurring independently of MGMT promoter methylation status and being mutually exclusive with 1p/19q codeletion (LOH). In summary, EPIC Bead Chip analysis is a reliable tool for detecting EGFR amplification and is comparable with the standard method FISH. EGFR amplification is a phenomenon of IDH wildtype TERT mutated high-grade gliomas.

Purpose Gliomas are the most frequent primary brain tumors of adults. Despite intensive research, there are still no targeted therapies available. Here, we performed an integrated analysis of glioma and programmed cell death ligand 1 (PD-L1) in 90 samples including 58 glioma and 32 control brain tissues. Methods To identify PD-L1 expression in glioma, we performed immunohistochemical analysis of PD-L1 tumor proportion score (TPS) using the clinically valid PD-L1 22C3 antibody on 90 samples including controls and WHO grade I–IV gliomas. Results We found that PD-L1 is highly expressed in a subfraction of glioma cells. Analysis of PD-L1 levels in different glioma subtypes revealed a strong intertumoral variation of PD-L1 protein. Furthermore, we correlated PD-L1 expression with molecular glioma hallmarks such as MGMT-promoter methylation, IDH1/2 mutations, TERT promoter mutations and LOH1p/19q. Conclusion In summary, we found that PD-L1 is highly expressed in a subfraction of glioma, indicating PD-L1 as a potential new marker in glioma assessment opening up novel therapeutic approaches.