Prognostic assessment in patients operated for brain metastasis from systemic tumors.

BACKGROUND: Established models for prognostic assessment in patients with brain metastasis do not stratify for prior surgery. Here we tested the prognostic accuracy of the Graded Prognostic Assessment (GPA) score model in patients operated for BM and explored further prognostic factors. METHODS: We included 285 patients operated for brain metastasis at the University Hospital Zurich in the analysis. Information on patient characteristics, imaging, staging, peri- and postoperative complications and survival were extracted from the files and integrated into a multivariate Cox hazard model. RESULTS: The GPA score showed an association with outcome. We further identified residual tumor after surgery (p = 0.007, hazard ratio (HR) 1.6, 95% confidence interval (CI) 1.1-2.3) steroid use (p = 0.021, HR 1.7, 95% CI 1.1-2.6) and number of extracranial metastasis sites (p = 0.009, HR 1.4, 95% CI 1.1-1.6) at the time of surgery as independent prognostic factors. A trend was observed for postoperative infection of the subarachnoid space (p = 0.102, HR 3.5, 95% CI 0.8-15.7). CONCLUSIONS: We confirm the prognostic capacity of the GPA score in a cohort of operated patients with brain metastasis. However, extent of resection and steroid use provide additional aid for the prognostic assessment in these patients.

Postoperative progression of brain metastasis is associated with seizures.

Seizures in patients with brain metastases have an impact on morbidity and quality of life. The influence of tumor growth on the risk of seizures in these patients is not well defined. In this cohort study, we evaluated adult patients from the University Hospital of Zurich following resection of brain metastases from solid tumors, with or without preoperative seizures, at 3, 6, 9, and 12 months postoperatively. Brain magnetic resonance imaging was assessed for tumor progression using the Response Assessment in Neuro-Oncology criteria. The quarterly risk of unprovoked seizures was modeled with mixed effects logistic regression. We analyzed 444 time frames in 220 patients. Progression of brain metastases was independently associated with seizures during the respective quarterly follow-up period (odds ratio = 3.9, 95% confidence interval = 1.3-11.3, p = .014). Complete resection of brain metastases was associated with a lower risk of seizures (odds ratio = .2, 95% confidence interval = .04-.7, p = .015). Postoperative progression of brain metastases quadrupled the risk of seizures; therefore, vigorous follow-up may be useful to identify tumor progression and gauge the risk of seizures. The identification of patients at high seizure risk may have implications for treatment decisions and influence aspects of daily life. Breakthrough seizures may indicate brain metastases progression.

Comprehensive summary and retrospective evaluation of prognostic scores for patients with newly diagnosed brain metastases treated with upfront radiosurgery in a modern patient collective.

BACKGROUND: Numerous prognostic scores (PS) for patients with brain metastases (BM) have been developed. Recently, PS based on laboratory parameters were introduced to better predict overall survival (OS). A comprehensive comparison of the wide range of scores in a modern patient collective is still missing. MATERIALS AND METHODS: Twelve PS considering clinical parameters only at the time of BM diagnosis were calculated for 470 patients receiving upfront SRS between January 2014 and March 2020. In a subcohort of 310 patients where a full laboratory dataset was available five additional prognostic scores were compared. Restricted mean survival time (RMST), partial likelihood and c-index were calculated as metrics for performance evaluation. Univariable and multivariable analysis were used to identify prognostic factors for OS. RESULTS: The median OS of the whole cohort was 15.8 months (95% C.I.: 13.4-20.1). All prognostic scores performed well in separating patients into different prognostic groups. RPA achieved the highest c-index, whereas GGS achieved highest partial likelihood with evaluation in the total cohort. With incorporation of the laboratory scores the recently suggested EC-GPA achieved highest c-index and highest partial likelihood. A prognostic score solely based on the assessment of performance status achieved considerable high performance as either 3- or 4-tiered score. Multivariable analysis revealed performance status, systemic disease status and laboratory parameters to be significantly associated with OS among variates included in prognostic scores. CONCLUSION: Although recent PS incorporating laboratory parameters show convincing performance in predicting overall survival, older scores relying on clinical parameters only are still valid and appealing as they are easier to calculate, and as overall performance is almost equal. Moreover, a score just based on performance status is not significantly inferior and should at least be assessed for informed decision making.

Survival of brain tumour patients with epilepsy.

Pro-tumorigenic electrochemical synapses between neurons and brain tumour cells in preclinical studies suggest unfavourable effects of epilepsy on patient survival. We investigated associations of epilepsy and survival in three cohorts of brain tumour patients (meningioma, glioblastoma and brain metastases). Cohorts were segregated into three groups for comparative analyses: (i) no epilepsy; (ii) epilepsy without status epilepticus; and (iii) status epilepticus. Status epilepticus was considered a surrogate of extensive neuronal hyperexcitability. The main outcome was progression-free survival (meningioma) and overall survival (glioblastoma and brain metastases), adjusted for established prognostic factors and onset of epilepsy by time-dependent multivariate Cox modelling. The primary analysis population comprised 1792 patients (742 meningioma, 249 glioblastoma, 801 brain metastases). Epilepsy was associated with favourable prognostic factors. However, on multivariate analyses, status epilepticus was associated with inferior overall survival of patients with glioblastoma [status epilepticus versus no epilepsy multivariate hazard ratio (HR) 3.72, confidence interval (CI) 1.78-7.76, P < 0.001] and brain metastases (status epilepticus versus no epilepsy HR 2.30, CI 1.10-4.79, P = 0.026). Among brain metastases patients, but not among patients with meningioma or glioblastoma, epilepsy was similarly associated with inferior overall survival (epilepsy versus no epilepsy HR 2.16, CI 1.60-2.93, P < 0.001). We conclude that epilepsy may convey inferior survival of patients with malignant brain tumours.

Fitness-to-drive for glioblastoma patients: Guidance from the Swiss Neuro-Oncology Society (SwissNOS) and the Swiss Society for Legal Medicine (SGRM).

OBJECTIVE: The management of brain tumour patients who would like to resume driving is complex, and needs multidisciplinary input and a consensus among treating physicians. The Swiss Neuro-Oncology Society (SwissNOS) and the Swiss Society for Legal Medicine (SGRM) aim to provide guidance on how to assess "fitness-to-drive" of glioblastoma patients and to harmonise the relevant procedures in Switzerland. METHODS: At several meetings, Swiss neuro-oncologists discussed common practices on how to advise patients with a stable, i.e., non-progressive, glioblastoma, who wish to resume driving after the initial standard tumour treatment. All participants of the SwissNOS meetings were invited twice to return a questionnaire (modified Delphi process) on specific tools/procedures they commonly use to assess "fitness-to-drive" of their patients. Answers were analysed to formulate a tentative consensus for a structured and reasonable approach. RESULTS: Consensus on minimum requirements for a "fitness-to-drive" programme for glioblastoma patients could be reached among Swiss neuro-oncologists. The recommendations were based on existing guidelines and expert opinions regarding patients with seizures, visual disturbances, cognitive impairment or focal deficits for safe driving. At this point in time, the Swiss neuro-oncologists agreed on the following requirements for glioblastoma patients after the initial standard therapy and without a seizure for at least 12 months: (1) stable cranial magnetic resonance imaging (MRI) according to Response Assessment in Neuro-Oncology (RANO) criteria, to be repeated every 3 months; (2) thorough medical history, including current or new medication, a comprehensive neurological examination at baseline (T0) and every 3 months thereafter, optionally an electrocencephalogram (EEG) at baseline; (3) ophthalmological examination including visual acuity and intact visual fields; and (4) optional neuropsychological assessment with a focus on safe driving. Test results have to be compatible with safe driving at any time-point. Patients should be informed about test results and optionally sign a document. CONCLUSIONS: We propose regular thorough clinical neurological examination and brain MRI, optional EEG, neuropsychological and visual assessments to confirm "fitness-to-drive" for glioblastoma patients after initial tumour-directed therapy. The proposed "fitness-to-drive" assessments for glioblastoma patients serves as the basis for a prospective Swiss Pilot Project GLIODRIVE (BASEC ProjectID 2020-00365) to test feasibility, adherence and safety in a structured manner for patients who wish to resume driving. Research will focus on confirming the usefulness of the proposed tools in predicting "fitness-to-drive" and match results with events obtained from the road traffic registry (Strassenverkehrsamt).

Prognostic validation and clinical implications of the EANO ESMO classification of leptomeningeal metastasis from solid tumors.

BACKGROUND: The EANO ESMO guidelines have proposed a classification of leptomeningeal metastases (LM) from solid cancers based on clinical, magnetic resonance imaging (MRI), and cerebrospinal fluid (CSF) cytology presentation. MRI patterns are classified as linear, nodular, both, or neither. Type I LM is defined by positive CSF cytology (confirmed LM) whereas type II LM is defined by typical clinical and MRI signs (probable or possible LM). Here we explored the clinical utility of these LM subtypes. PATIENTS AND METHODS: We retrospectively assembled data from 254 patients with newly diagnosed LM from solid tumors. Survival curves were derived using the Kaplan-Meier method and compared by Log-rank test. RESULTS: Median age at LM diagnosis was 56 years. Typical clinical LM features were noted in 225 patients (89%); 13 patients (5%) were clinically asymptomatic. Tumor cells in the CSF were observed in 186 patients (73%) whereas the CSF was equivocal in 24 patients (9.5%) and negative in 44 patients (17.5%). Patients with confirmed LM had inferior outcome compared with patients with probable or possible LM (P = 0.006). Type I patients had inferior outcome than type II patients (P = 0.002). Nodular disease on MRI was a negative prognostic factor in type II LM (P = 0.014), but not in type I LM. Administration of either intrathecal pharmacotherapy (P = 0.020) or systemic pharmacotherapy (P = 0.0004) was associated with improved outcome in type I LM, but not in type II LM. CONCLUSION: The EANO ESMO LM subtypes are highly prognostic and should be considered for stratification and overall design of clinical trials.

Treatment Monitoring of Immunotherapy and Targeted Therapy Using 18F-FET PET in Patients with Melanoma and Lung Cancer Brain Metastases: Initial Experiences.

We investigated the value of O-(2-18F-fluoroethyl)-l-tyrosine (18F-FET) PET for treatment monitoring of immune checkpoint inhibition (ICI) or targeted therapy (TT) alone or in combination with radiotherapy in patients with brain metastasis (BM) since contrast-enhanced MRI often remains inconclusive. Methods: We retrospectively identified 40 patients with 107 BMs secondary to melanoma (n = 29 with 75 BMs) or non-small cell lung cancer (n = 11 with 32 BMs) treated with ICI or TT who had 18F-FET PET (n = 60 scans) for treatment monitoring from 2015 to 2019. Most patients (n = 37; 92.5%) had radiotherapy during the course of the disease. In 27 patients, 18F-FET PET was used to differentiate treatment-related changes from BM relapse after ICI or TT. In 13 patients, 18F-FET PET was performed for response assessment to ICI or TT using baseline and follow-up scans (median time between scans, 4.2 mo). In all lesions, static and dynamic 18F-FET PET parameters were obtained (i.e., mean tumor-to-brain ratios [TBR], time-to-peak values). Diagnostic accuracies of PET parameters were evaluated by receiver-operating-characteristic analyses using the clinical follow-up or neuropathologic findings as a reference. Results: A TBR threshold of 1.95 differentiated BM relapse from treatment-related changes with an accuracy of 85% (P = 0.003). Metabolic responders to ICI or TT on 18F-FET PET had a significantly longer stable follow-up (threshold of TBR reduction relative to baseline, ≥10%; accuracy, 82%; P = 0.004). Furthermore, at follow-up, time to peak in metabolic responders increased significantly (P = 0.019). Conclusion:18F-FET PET may add valuable information for treatment monitoring in BM patients treated with ICI or TT.

Response assessment and outcome of combining immunotherapy and radiosurgery for brain metastasis from malignant melanoma.

BACKGROUND: The optimal sequence of stereotactic radiotherapy (SRT) and immune checkpoint inhibition (ICI) and assessment of response in patients with brain metastases from melanoma remain challenging. METHODS: We reviewed clinical and neuroimaging data of 62 patients with melanoma, including 26 patients with BRAF-mutant tumours, with newly diagnosed brain metastases treated with ICI alone (n=10, group 1), SRT alone or in combination with other systemic therapies (n=20, group 2) or ICI plus SRT (n=32, group 3). Response was assessed retrospectively using response evaluation criteria in solid tumours (RECIST) V.1.1, response assessment in neuro-oncology (RANO) and immunotherapy RANO (iRANO) criteria. MRI follow-up from 43 patients was available for central review. RESULTS: Patients treated with ICI alone showed no objective responses and had worse outcome than patients treated with SRT without or with ICI. RECIST, RANO and iRANO criteria were concordant for complete response (CR) and partial response (PR). RANO called progression earlier than RECIST for clinical deterioration without MRI progression in some patients. Progression was called later when using iRANO criteria because of the need for a confirmatory scan. Pseudoprogression was documented in seven patients: three patients in group 2 and four patients in group 3. Radionecrosis was documented in seven patients: two patients in group 2 and five patients in group 3. Regression of non-irradiated lesions was seen neither in two patients treated with SRT alone nor in five patients treated with SRT plus ICI, providing no evidence for rare abscopal effects. CONCLUSIONS: Pseudoprogression is uncommon with ICI alone, suggesting that growing lesions in such patients should trigger an intervention. Pseudoprogression rates were similar after SRT alone or SRT in combination with ICI. Abscopal effects are rare or do not exist. Response assessment criteria should be considered carefully when designing clinical studies for patients with brain metastases who receive SRT.

Prognostic value of O-(2-[18F]-fluoroethyl)-L-tyrosine PET in relapsing oligodendroglioma.

PURPOSE: To assess the relationship between F-18-fluoro-ethyl-tyrosine positron emission tomography (FET-PET) parameters of relapsing oligodendroglioma and progression-free survival. MATERIAL AND METHODS: The relationship of clinical parameters, FET-PET parameters (SUVmax, TBRmax, BTV, time-activity curves) and progression-free survival was analyzed using univariate and multivariate analysis in 42 adult patients with relapsing oligodendroglioma. Kaplan-Meier analysis was used to assess survival. RESULTS: Patients who did not undergo surgical resection of their relapsing tumor had significantly lower PFS if the tumor exhibited an SUVmax above 3.40 than those with an SUVmax below 3.40 (13.1 ± 2.3 months vs. 47.3 ± 6.0 months, respectively, p < .001). Patients who underwent surgery had similar PFS as the aforementioned non-operated patients with low SUVmax (53.6 ± 6.7 months, p = .948). The same was true for TBRmax using a threshold of 3.03 (PFS 12.5 ± 2.4 months vs. 44.0 ± 6.3 months / 53.6 ± 6.7 months, respectively; p < .001 / p = .825). Also, subjects with BTV below 10 cm3 that did not undergo surgery had a similar PFS as subjects who underwent surgery (40.2 ± 6.0 months vs. 52.4 ± 8.9 months, respectively, p = .587). Subjects with BTV above 10 cm3 and without surgery had a significantly worse PFS (13.8 ± 3.3 months, p < .001). Multivariate analysis showed that the prognostication by clinical parameters is improved by adding TBRmax to the model (AUC 0.945 (95% CI: 0.881-1.000), true classification rate 88.1%). CONCLUSION: FET-PET may provide added value for the prognostication of relapsing oligodendroglioma in addition to clinical parameters.

Hypothyroidism correlates with favourable survival prognosis in patients with brain metastatic cancer.

BACKGROUND: Several preclinical and epidemiologic studies have indicated tumour-promoting effects of thyroid hormones (THs). However, very limited knowledge exists on the prognostic impact of thyroid function in metastatic cancer. METHODS: We compiled a discovery cohort of 1692 patients with newly diagnosed brain metastases (BMs) of solid cancers treated at the Medical University of Vienna and an independent validation cohort of 191 patients with newly diagnosed BMs treated at the University Hospital Zurich. RESULTS: Hypothyroidism before diagnosis of cancer was evident in 133 of 1692 (7.9%) patients of the discovery, and in 18 of 191 (9.4%) patients of the validation cohort. In the discovery cohort, hypothyroidism was statistically significantly associated with favourable survival prognosis from diagnosis of cancer (31 vs. 21 months; p = 0.0026) and with survival prognosis from diagnosis of BMs (12 vs. 7 months; p = 0.0079). In multivariate analysis including the diagnosis-specific graded prognostic assessment score, primary tumour type and sex, hypothyroidism was an independent factor associated with survival after diagnosis of BMs (hazard ratio: 0.76; 95% confidence interval [CI]: (0.63; 0.91; p = 0.0034). In the validation cohort, the association of hypothyroidism and favourable survival prognosis from diagnosis of cancer (55 vs. 11 months; p = 0.00058), as well as from diagnosis of BMs (40 vs. 10 months; p = 0.0036) was confirmed. CONCLUSION: Pre-existing hypothyroidism was strongly and independently associated with prognosis in patients with newly diagnosed BMs, supporting the evidence from preclinical data that THs may indeed have a tumour-promoting effect. Further investigation of the underlying pathobiological mechanism and potential therapeutic implications are required.

Venous thromboembolic events in patients with brain metastases: the PICOS score.

AIM OF STUDY: Venous thromboembolic events (VTEs) are significant complications in patients with systemic malignancies. Thrombosis risk is poorly defined for patients with brain metastasis, and available risk calculation scores are not validated for these patients. METHODS: We identified 811 patients with brain metastasis followed at our institution and reviewed electronic charts retrospectively for the occurrence of VTEs, along with candidate risk factors. Risk factors were tested in univariate and multivariate analyses and finally integrated in a score model for risk estimation. An independent cohort of 346 patients with brain metastasis was available for validation. RESULTS: VTEs were documented in 97 of 811 patients (12.0%). Primary tumours with high thrombogenicity (p = 0.02, hazard ratio 1.7, 95% confidence interval (CI) = 1.1-2.8), dexamethasone (p = 0.011, hazard ratio 2.27, 95% CI = 1.5-4.5), chemotherapy (p = 0.005, hazard ratio 3.4, 95% CI = 1.6-7.5), body mass index > 35 kg/m2 (p = 0.002, hazard ratio 3.4, 95% CI = 1.6-7.5) and immobilisation (p = 0.003, hazard ratio 2.4, 95% CI = 1.3-4.3) were confirmed to be independently associated with VTEs. We derived a score model for VTE risk estimation, the thrombogenic primary, immobilization, chemotherapy, obesity, steroid (PICOS) score (0-7 points). Receiver-operating characteristic curve analysis demonstrated its prognostic accuracy (area under the curve [AUC] = 0.71, 95% CI = 0.64-0.77), and its value for the evaluation of VTE risk was superior to that of other scores such as the Khorana (AUC = 0.51) or CONKO (AUC = 0.52) scores. The potential value of the PICOS score was confirmed in the validation cohort (AUC = 0.72, 95% CI = 0.63-0.82). CONCLUSIONS: The PICOS score may become a helpful tool for the identification of patients with brain metastasis at high risk for VTEs and for stratification in controlled studies.

End-of-life care for glioma patients; the caregivers' perspective.

PURPOSE: Gliomas are primary brain tumors with a life-limiting course of disease, and the last weeks of life are often characterized by neurological deficits that affect communication and personality. End-of-life treatment in this patient group therefore requires specific approaches. To date, little data is available on patients' and caregivers' needs and experiences in the last phase of the disease. METHODS: In this observational study, relatives of patients treated at the University Hospital Zurich, Switzerland and deceased 2015-2017 due to glioma progression were contacted to complete a structured questionnaire assessing caregivers experience within the last weeks of the disease. RESULTS: The survey was sent to 120 relatives of deceased patients with a glioma (WHO grades II-IV) (median patient age: 62 years; 73.8% male). Forty-three questionnaires were returned (37.7%). Approximately half of the patients were taken care of at home in the last 4 weeks of the disease, mainly with the assistance of in-home nursing care, of which eventually 14 patients (63.6%) died at home. While caregivers reported high satisfaction with medical and nursing care, psychological support was rated average to poor on a 10-point scale. Free comment fields were used widely, revealing open questions and needs of the relatives. CONCLUSIONS: This study illustrates the need for a more patient-centered end-of-life care including higher psychological support mechanisms, and a higher inclusion and consideration of relatives and caregivers into the care focus. Earlier discussion of end-of-life preferences could prevent hospitalizations in the last phase of life and could improve patients' and caregivers' quality of life.

Risk factors for the development of epilepsy in patients with brain metastases.

BACKGROUND: Current guidelines do not recommend primary prophylactic anti-epileptic drug (AED) therapy for patients with brain metastases (BM). Yet, subgroups of patients at high seizure risk might still benefit from prophylaxis. METHODS: We identified 799 patients diagnosed with BM by retrospective screening of our electronic chart system. Candidate risk factors for the development of epilepsy were tested by univariate and multivariate Cox regression models. RESULTS: Epilepsy was diagnosed in 226 of 799 patients (28%). Risk factors for epilepsy in non-operated patients were single BM (P = 0.002, hazard ratio [HR] 3.2, 95% CI: 1.5-6.6) and detection of tumoral hemorrhage (P = 0.008, HR 2.5, 95% CI: 1.3-4.9). Preoperative seizures occurred predominantly in patients with supratentorial BM (P = 0.003, HR 20.78, 95% CI: 2.8-153.4) and lung cancer (P = 0.022; HR 2.0, 95% CI: 1.1-3.6). Postoperative seizures were associated with supratentorial localization (P = 0.017, HR 5.8, 95% CI: 1.4-24.3), incomplete resection (P = 0.005, HR 4.6, 95% CI: 1.6-13.1), and by trend for multiple brain surgeries (P = 0.095, HR 1.9, 95% CI: 0.9-4.0). These risk factors were integrated into a predictive score model for postoperative epilepsy (score sum 0-8). A gradual increase of seizure rates along with higher sum score was confirmed post hoc (score 0 = no seizures; score 8 = 48% seizures). Receiver operating characteristic analysis supported diagnostic accuracy (P = 0.00001, area under the curve = 0.75). CONCLUSIONS: Here we have defined risk profiles for the development of BM-related epilepsy and derived a score which might help to estimate the risk of postoperative seizures and identify individuals at risk who might benefit from primary prophylactic AED therapy.

Underweight and weight loss are predictors of poor outcome in patients with brain metastasis.

PURPOSE: Overweight may be associated with favorable outcome whereas tumor cachexia may be associated with worse outcome in patients with metastatic cancer. Here we evaluate the association of abnormal body mass index and weight change with outcome in patients with brain metastasis. METHODS: Patients with a diagnosis of brain metastasis treated at the University Hospital Zurich (n = 703) were assessed for associations of body mass index, weight change, comorbidities and survival. RESULTS: Compared with patients with normal body mass index of 18.5-24.9 kg/m2 and a median overall survival of 9 months (95% confidence interval 7.5-10.5), overall survival was inferior in patients with body mass index < 18.5 kg/m2 (overall survival 6 months, 95% confidence interval 1.6-10.3, p = 0.04), but superior in patients with body mass index > 25 kg/m2 (overall survival 13 months, 95% confidence interval 11.0-15.0; p = 0.033). We report a median relative weight loss of 5% within the first 6 months of diagnosis of brain metastasis (95% confidence interval 3.3-6.5), and reduction exceeding the median was associated with an unfavorable outcome (weight loss < 5% 22.0 months, 95% confidence interval 19.2-24.8; weight loss > 5% 14.0 months, 95% confidence interval 11.9-16.). CONCLUSION: High body mass index is associated with better, and underweight with worse outcome in patients with brain metastasis. Conversely, weight loss above median may predict poor outcome. Future studies need to address whether vigorous treatment of tumor cachexia, e.g. by specific nutrition management, might improve outcome of patients with brain metastasis. In contrast, regimens associated with weight loss such as ketogenic diet may be detrimental.

Anatomical features of primary brain tumors affect seizure risk and semiology.

OBJECTIVE: An epileptic seizure is the most common clinical manifestation of a primary brain tumor. Due to modern neuroimaging, detailed anatomical information on a brain tumor is available early in the diagnostic process and therefore carries considerable potential in clinical decision making. The goal of this study was to gain a better understanding of the relevance of anatomical tumor characteristics on seizure prevalence and semiology. METHODS: We reviewed prospectively collected clinical and imaging data of all patients operated on a supratentorial intraparenchymal primary brain tumor at our department between January 2009 and December 2016. The effect of tumor histology, anatomical location and white matter infiltration on seizure prevalence and semiology were assessed using uni- and multivariate analyses. RESULTS: Of 678 included patients, 311 (45.9%) presented with epileptic seizures. Tumor location within the central lobe was associated with higher seizure prevalence (OR 4.67, 95% CI: 1.90-13.3, p = .002), especially within the precentral gyrus or paracentral lobule (100%). Bilateral extension, location within subcortical structures and invasion of deeper white matter sectors were associated with a lower risk (OR 0.45, 95% CI: 0.25-0.78; OR 0.10, 95% CI: 0.04-0.21 and OR 0.39, 95% CI: 0.14-0.96, respectively). Multivariate analysis revealed the impact of a location within the central lobe on seizure risk to be highly significant and more relevant than histopathology (OR: 4.79, 95% CI: 1.82-14.52, p = .003). Seizures due to tumors within the central lobe differed from those of other locations by lower risk of secondary generalization (p < .001). CONCLUSIONS: Topographical lobar and gyral location, as well as extent of white matter infiltration impact seizure risk and semiology. This finding may have a high therapeutic potential, for example regarding the use of prophylactic antiepileptic therapy.

Diagnostic value of 18F-fluordesoxyglucose positron emission tomography for patients with brain metastasis from unknown primary site.

BACKGROUND: In 30% of patients with brain metastasis (BM), neurological symptoms are the first clinical manifestation of systemic malignancy, referred to as BM from cancer of unknown primary site (BM-CUPS). Here, we define the diagnostic value of 18F-fluordesoxyglucose positron emission tomography (FDG-PET/CT) in the workup of BM-CUPS. METHODS: We screened 565 patients operated for BM at the University Hospital Zurich and identified 64 patients with BM-CUPS with data on both FDG-PET/CT and contrast-enhanced chest/abdomen computed tomography (CT) available at BM diagnosis. A cohort of 125 patients with BM-CUPS from Lille and Vienna was used for validation. RESULTS: FDG-PET/CT was not superior to chest/abdomen CT in localising the primary lesion in the discovery cohort, presumably because most primary tumours were lung cancers. However, FDG-PET/CT identified additional lesions suspicious of extracranial metastases in 27 of 64 patients (42%). The inclusion of FDG-PET/CT findings shifted the graded prognostic assessment (GPA) score from 3 with CT alone to 2.5 for PET/CT (p = 3.8 × 10-5, Wilcoxon's test), resulting in a predicted survival of 5.3 versus 3.8 months (p = 6.1 × 10-5; Wilcoxon's test). All observations were confirmed in the validation cohort. CONCLUSIONS: Lung cancers are the most common primary tumour in BM-CUPS; accordingly, CT alone shows similar overall sensitivity for detecting the primary tumour as FDG-PET/CT. Yet, FDG-PET/CT improves the accuracy of staging by detecting more metastases, reflected by decreased GPA scores and decreased predicted survival. Therefore, randomised trials on patients with BM should standardise methods of staging, notably when stratifying for GPA.

The natural HLA ligandome of glioblastoma stem-like cells: antigen discovery for T cell-based immunotherapy.

Glioblastoma is the most frequent malignant primary brain tumor. In a hierarchical tumor model, glioblastoma stem-like cells (GSC) play a major role in tumor initiation and maintenance as well as in therapy resistance and recurrence. Thus, targeting this cellular subset may be key to effective immunotherapy. Here, we present a mass spectrometry-based analysis of HLA-presented peptidomes of GSC and glioblastoma patient specimens. Based on the analysis of patient samples (n = 9) and GSC (n = 3), we performed comparative HLA peptidome profiling against a dataset of normal human tissues. Using this immunopeptidome-centric approach we could clearly delineate a subset of naturally presented, GSC-associated HLA ligands, which might serve as highly specific targets for T cell-based immunotherapy. In total, we identified 17 antigens represented by 41 different HLA ligands showing natural and exclusive presentation both on GSC and patient samples. Importantly, in vitro immunogenicity and antigen-specific target cell killing assays suggest these peptides to be epitopes of functional CD8+ T cell responses, thus rendering them prime candidates for antigen-specific immunotherapy of glioblastoma.

Combining standard clinical blood values for improving survival prediction in patients with newly diagnosed brain metastases-development and validation of the LabBM score.

BACKGROUND: We aimed to investigate the potential of standard hematologic and serum biochemical parameters to provide an independent and substantial contribution to the prediction of survival in patients with newly diagnosed brain metastases (BM). METHODS: Hemoglobin, white blood cell count, platelet count, serum albumin, creatinine, lactate dehydrogenase (LDH), and C-reactive protein (CRP) were assessed at diagnosis of BM in a discovery cohort of 1200 cancer patients. A multivariable Cox regression model was used to derive the LabBM score. The LabBM score was externally validated in an independent cohort consisting of 366 patients. RESULTS: Hemoglobin below lower limit of normal (ULN; HR: 1.51; P < .001), and CRP >ULN (HR: 1.52; P < .001) were associated with survival in a multivariable Cox regression model and were included in the calculation of the LabBM score. Multivariable analysis including the LabBM score and graded prognostic assessment class revealed an independent and significant association of the LabBM score with overall survival (OS) (HR: 1.42; 95% CI: 1.29-1.57; P < .001). The strong and independent association of LabBM score (HR: 1.93; 95% CI: 1.54-2.42) with OS prognosis was confirmed in the validation cohort. CONCLUSION: Standard clinical blood parameters, combined in the easy-to-calculate LabBM score, provide strong and independent prognostic information in patients with BM. The LabBM score is an objective, inexpensive, and reproducible tool to plan clinical management strategies in BM patients and to improve patient selection and stratification for clinical trials.