P11.18.A Localizing value of EEG recordings in patients with glioblastoma

Background

Glioblastoma is associated with a high risk of epileptic seizures ranging from 40% to 60%. Before the advent of modern imaging techniques, electroencephalography (EEG) was a critical component in evaluating patients with space-occupying lesions. In this retrospective single-center study, we aimed (1) to characterize a cohort of patients with glioblastoma with regards to EEG monitoring, seizure frequency and the frequency of prescribed anti-seizure medications (ASM) and (2) to assess the value of EEG as a localizing technique in patients with glioblastoma.

Material and Methods

We reviewed the charts of 179 patients with glioblastomas between January 1st, 2020 and January 1st, 2022, treated at the Medical University of Vienna. The diagnosis was based on MRI and/or confirmed by biopsy according to the 2016 World Health Organization Classification of Tumors of the Central Nervous System. Patients who received an in-house EEG as part of their diagnostic work-up were included if an MRI/CT scan was available (within an average time of +/-60 days). For localization, focal slowing (theta/delta activity) and/or epileptiform discharges were considered. EEG rating was performed by a board-certified electrophysiologist blinded for the diagnosis and MRI/biopsy findings.

Results

We included 52 patients (29.05% of screened cohort) with at least one EEG and MRI or CT scan performed before or after EEG, following inclusion criteria (median: 2 days; mean: 6 days; range: -29 to 52), in the final analysis. Clinical seizure activity and/or epileptiform discharges on EEG were detected in 46 patients (88.46%), and 48 patients (92.31%) were on ASM.

An IDH-wildtype glioblastoma was diagnosed in 45 patients (86.54%), 4 had an IDH-mutant glioblastoma (7.69%), and in 3 patients, IDH-status was unknown (5.77%). In 22 patients (42.31%), biopsy revealed a positive MGMT promoter methylation status, while 28 were unmethylated (53.84%), and two patients had an unknown MGMT promoter methylation status (3.85%). Intermittent and/or continuous focal slow-wave activity was registered in 45 patients (86.54%). In comparison, epileptiform discharges could only be found in 13 patients (25%). When compared to MRI/CT scans, the hemispheric tumor localization could be determined in 42 cases (80.77%). Moreover, the affected brain lobe was accurately predicted in 35 patients (67.31%). Three patients had diffuse EEG changes (5.77%), and EEG was unremarkable in 7 patients (13.46%).

Conclusion

Overall, our presented data indicate that the hemispheric localization of glioblastoma can be reliably predicted by EEG recordings, while a precise (brain lobe-specific) localization was only possible in around two-thirds of cases.

Genotype-guided diagnostic reassessment after exome sequencing in neuromuscular disorders: experiences with a two-step approach

Background and purpose

Next‐generation sequencing has greatly improved the diagnostic success rates for genetic neuromuscular disorders (NMDs). Nevertheless, most patients still remain undiagnosed, and there is a need to maximize the diagnostic yield.

Methods

A retrospective study was conducted on 72 patients with NMDs who underwent exome sequencing (ES), partly followed by genotype‐guided diagnostic reassessment and secondary investigations. The diagnostic yields that would have been achieved by appropriately chosen narrow and comprehensive gene panels were also analysed.

Results

The initial diagnostic yield of ES was 30.6% (n = 22/72 patients). In an additional 15.3% of patients (n = 11/72) ES results were of unknown clinical significance. After genotype‐guided diagnostic reassessment and complementary investigations, the yield was increased to 37.5% (n = 27/72). Compared to ES, targeted gene panels (<25 kilobases) reached a diagnostic yield of 22.2% (n = 16/72), whereas comprehensive gene panels achieved 34.7% (n = 25/72).

Conclusion

Exome sequencing allows the detection of pathogenic variants missed by (narrowly) targeted gene panel approaches. Diagnostic reassessment after genetic testing further enhances the diagnostic outcomes for NMDs.

Hepatic tumor-stroma crosstalk guides epithelial to mesenchymal transition at the tumor edge

The tumor-stroma crosstalk is a dynamic process fundamental in tumor development. In hepatocellular carcinoma (HCC), the progression of malignant hepatocytes frequently depends on transforming growth factor (TGF)-beta provided by stromal cells. TGF-beta induces an epithelial to mesenchymal transition (EMT) of oncogenic Ras-transformed hepatocytes and an upregulation of platelet-derived growth factor (PDGF) signaling. To analyse the influence of the hepatic tumor-stroma crosstalk onto tumor growth and progression, we co-injected malignant hepatocytes and myofibroblasts (MFBs). For this, we either used in vitro-activated p19(ARF) MFBs or in vivo-activated MFBs derived from physiologically inflamed livers of Mdr2/p19(ARF) double-null mice. We show that co-transplantation of MFBs with Ras-transformed hepatocytes strongly enhances tumor growth. Genetic interference with the PDGF signaling decreases tumor cell growth and maintains plasma membrane-located E-cadherin and beta-catenin at the tumor-host border, indicating a blockade of hepatocellular EMT. We further generated a collagen gel-based three dimensional HCC model in vitro to monitor the MFB-induced invasion of micro-organoid HCC spheroids. This invasion was diminished after inhibition of TGF-beta or PDGF signaling. These data suggest that the TGF-beta/PDGF axis is crucial during hepatic tumor-stroma crosstalk, regulating both tumor growth and cancer progression.

ILEI requires oncogenic Ras for the epithelial to mesenchymal transition of hepatocytes and liver carcinoma progression

In human hepatocellular carcinoma (HCC), epithelial to mesenchymal transition (EMT) correlates with aggressiveness of tumors and poor survival. We employed a model of EMT based on immortalized p19(ARF) null hepatocytes (MIM), which display tumor growth upon expression of oncogenic Ras and undergo EMT through the synergism of Ras and transforming growth factor (TGF)-beta. Here, we show that the interleukin-related protein interleukin-like EMT inducer (ILEI), a novel EMT-, tumor- and metastasis-inducing protein, cooperates with oncogenic Ras to cause TGF-beta-independent EMT. Ras-transformed MIM hepatocytes overexpressing ILEI showed cytoplasmic E-cadherin, loss of ZO-1 and induction of alpha-smooth muscle actin as well as platelet-derived growth factor (PDGF)/PDGF-R isoforms. As shown by dominant-negative PDGF-R expression in these cells, ILEI-induced PDGF signaling was required for enhanced cell migration, nuclear accumulation of beta-catenin, nuclear pY-Stat3 and accelerated growth of lung metastases. In MIM hepatocytes expressing the Ras mutant V12-C40, ILEI collaborated with PI3K signaling resulting in tumor formation without EMT. Clinically, human HCC samples showed granular or cytoplasmic localization of ILEI correlating with well and poorly differentiated tumors, respectively. In conclusion, these data indicate that ILEI requires cooperation with oncogenic Ras to govern hepatocellular EMT through mechanisms involving PDGF-R/beta-catenin and PDGF-R/Stat3 signaling.