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Background Adolescent and young adult cancer survivors (AYAs, aged 18-39 years at first diagnosis) have a higher second cancer risk. Accelerated aging is hypothesized as underlying mechanism and has been described clinically by 6 indicators; fatigue, low quality of sleep, low mood, lack of motivation, subjective memory complaints, and poor exercise tolerance. Using patient-reported outcomes, we aimed to identify clusters of accelerated aging among AYA cancer survivors and to investigate their association with second cancer development. Patients and Methods Patient, tumor, and treatment data were obtained from the Netherlands Cancer Registry. Patient-reported clinical indicators and second cancer data were obtained from the SURVivors (5-20 years) of cancer in AYAs (SURVAYA) questionnaire study between 1999 and 2015. Latent class and multivariable logistic regression analyses were performed. Results In total, n  = 3734 AYA survivors with known second cancer status (n  = 278 [7.4%] second cancers) were included. Four latent clusters were identified and named based on their clinical indicator features; (1) high accelerated aging (31.3%), (2) intermediate accelerated aging without poor exercise tolerance (15.1%), (3) intermediate accelerated aging without lack of motivation (27.4%), and (4) low accelerated aging (26.2%). AYAs in the high accelerated aging cluster were more likely to have second cancer (odds ratio: 1.6; 95% CI, 1.1-2.3) compared to the low accelerated aging cluster. Conclusion AYAs with a higher burden of accelerated aging were more likely to develop a second cancer. Validation of the clinical indicators and how to best capture them is needed to improve (early) detection of AYAs at high risk of developing second cancer. [ABSTRACT FROM AUTHOR]

Background Regional collaboration and appropriate referral management are crucial in neuro-oncological care. Lack of electronic access to medical records across health care organizations impedes interhospital consultation and may lead to incomplete and delayed referrals. To improve referral management, we have established a multidisciplinary neuro-oncological triage panel (NOTP) with digital image exchange and determined the effects on lead times, costs, and time investment. Methods A prospective cohort study was conducted from February 2019 to March 2020. All newly diagnosed patients referred to Brain Tumor Center Amsterdam were analyzed according to referral pathway: (1) standard referral (SR), (2) NOTP. The primary outcome was lead time, defined as time-to-referral, time-to-treatment, and total time (median days [interquartile range]). Secondary outcomes were costs and time investment. Results In total, 225 patients were included, of whom 153 had SR and 72 NOTP referral. Patients discussed in the NOTP were referred more frequently for first neurosurgical consultation (44.7% vs 28.8%) or combined neurological and neurosurgical consultation (12.8% vs 2.5%, P =.002). Time-to-referral was reduced for NOTP referral compared to SR (1 [0.25-4] vs 6 [1.5-10] days, P <.001). Total time decreased from 27 [14-48] days for the standard group to 15 [12-38.25] days for the NOTP group (P =.040). Costs and time investment were comparable for both groups. Conclusion Implementation of digital referral to a multidisciplinary NOTP is feasible and leads to more swift patient-tailored referrals at comparable costs and time investment as SR. This quality improvement initiative has the potential to improve collaboration and coordination of multidisciplinary care in the field of neuro-oncology. [ABSTRACT FROM AUTHOR]

Background: Adolescent and young adult cancer survivors (AYAs, aged 18-39 years at first diagnosis) have a higher second cancer risk. Accelerated aging is hypothesized as underlying mechanism and has been described clinically by 6 indicators; fatigue, low quality of sleep, low mood, lack of motivation, subjective memory complaints, and poor exercise tolerance. Using patient-reported outcomes, we aimed to identify clusters of accelerated aging among AYA cancer survivors and to investigate their association with second cancer development., Patients and Methods: Patient, tumor, and treatment data were obtained from the Netherlands Cancer Registry. Patient-reported clinical indicators and second cancer data were obtained from the SURVivors (5-20 years) of cancer in AYAs (SURVAYA) questionnaire study between 1999 and 2015. Latent class and multivariable logistic regression analyses were performed., Results: In total, n = 3734 AYA survivors with known second cancer status (n = 278 [7.4%] second cancers) were included. Four latent clusters were identified and named based on their clinical indicator features; (1) high accelerated aging (31.3%), (2) intermediate accelerated aging without poor exercise tolerance (15.1%), (3) intermediate accelerated aging without lack of motivation (27.4%), and (4) low accelerated aging (26.2%). AYAs in the high accelerated aging cluster were more likely to have second cancer (odds ratio: 1.6; 95% CI, 1.1-2.3) compared to the low accelerated aging cluster., Conclusion: AYAs with a higher burden of accelerated aging were more likely to develop a second cancer. Validation of the clinical indicators and how to best capture them is needed to improve (early) detection of AYAs at high risk of developing second cancer., (© The Author(s) 2023. Published by Oxford University Press.)

Tumor adaptation or selection is thought to underlie therapy resistance in glioma. To investigate longitudinal epigenetic evolution of gliomas in response to therapeutic pressure, we performed an epigenomic analysis of 132 matched initial and recurrent tumors from patients with IDH-wildtype (IDHwt) and IDH-mutant (IDHmut) glioma. IDHwt gliomas showed a stable epigenome over time with relatively low levels of global methylation. The epigenome of IDHmut gliomas showed initial high levels of genome-wide DNA methylation that was progressively reduced to levels similar to those of IDHwt tumors. Integration of epigenomics, gene expression, and functional genomics identified HOXD13 as a master regulator of IDHmut astrocytoma evolution. Furthermore, relapse of IDHmut tumors was accompanied by histologic progression that was associated with survival, as validated in an independent cohort. Finally, the initial cell composition of the tumor microenvironment varied between IDHwt and IDHmut tumors and changed differentially following treatment, suggesting increased neoangiogenesis and T-cell infiltration upon treatment of IDHmut gliomas. This study provides one of the largest cohorts of paired longitudinal glioma samples with epigenomic, transcriptomic, and genomic profiling and suggests that treatment of IDHmut glioma is associated with epigenomic evolution toward an IDHwt-like phenotype., Significance: Standard treatments are related to loss of DNA methylation in IDHmut glioma, resulting in epigenetic activation of genes associated with tumor progression and alterations in the microenvironment that resemble treatment-naïve IDHwt glioma., (©2023 The Authors; Published by the American Association for Cancer Research.)

Purpose: Adolescent and young adult cancer survivors (AYAs) are at increased risk of long-term and late effects, and experience unmet needs, impacting their health-related quality of life (HRQoL). In order to provide and optimize supportive care and targeted interventions for this unique population, it is important to study HRQoL factors' interconnectedness on a population level. Therefore, this network analysis was performed with the aim to explore the interconnectedness between HRQoL factors, in the analysis described as nodes, among long-term AYAs., Methods: This population-based cohort study used cross-sectional survey data of long-term AYAs, who were identified by the Netherlands Cancer Registry (NCR). Participants completed a one-time survey (SURVAYA study), including the EORTC survivorship questionnaire (QLQ-SURV111) to assess their long-term HRQoL outcomes and sociodemographic characteristics. The NCR provided the clinical data. Descriptive statistics and a network analysis, including network clustering, were performed., Results: In total, 3596 AYAs (on average 12.4 years post diagnosis) were included in our network analysis. The network was proven stable and reliable and, in total, four clusters were identified, including a worriment, daily functioning, psychological, and sexual cluster. Negative health outlook, part of the worriment cluster, was the node with the highest strength and its partial correlation with health distress was significantly different from all other partial correlations., Conclusion: This study shows the results of a stable and reliable network analysis based on HRQoL data of long-term AYAs, and identified nodes, correlations, and clusters that could be intervened on to improve the HRQoL outcomes of AYAs., (© 2024. The Author(s).)

Background: Withdrawal of antiseizure medication treatment (ASM) can be considered after completion of antitumour treatment in glioma patients who no longer suffer from seizures. We compared the risk for recurrent seizures after ASM withdrawal between patients with short-term, medium-term versus long-term seizure freedom after antitumour treatment., Methods: In this retrospective observational study, the primary outcome was time to recurrent seizure, from the starting date of no ASM treatment up to 36 months follow-up. Cox proportional hazards models were used to study the effect of risk factors on time to recurrent seizure. Stratification was done with information known at baseline. Short-term seizure freedom was defined as ≥ 3 months, but < 12 months; medium-term as 12-24 months; and long-term as ≥ 24 months seizure freedom from the date of last antitumour treatment., Results: This study comprised of 109 patients; 31% (34/109) were in the short-term, 29% (32/109) in the medium-term, and 39% (43/109) in the long-term group. A recurrent seizure was experienced by 47% (16/34) of the patients in the short-term, 31% (10/32) in the medium-term, and 44% (19/43) in the long-term group. Seizure recurrence risk was similar between patients in the short-term group as compared to the medium-term (cause-specific adjusted hazard ratio [aHR] = 0.65 [95%CI = 0.29-1.46]) and long-term group (cause-specific aHR = 1.04 [95%CI = 0.52-2.09])., Conclusions: Seizure recurrence risk is relatively similar between patients with short-term, medium-term, and long-term seizure freedom after completion of antitumour treatment., (© 2023. The Author(s).)

Many patients with glioma, primary brain tumors, suffer from poorly understood executive functioning deficits before and/or after tumor resection. We aimed to test whether frontoparietal network centrality of multilayer networks, allowing for integration across multiple frequencies, relates to and predicts executive functioning in glioma. Patients with glioma (n = 37) underwent resting-state magnetoencephalography and neuropsychological tests assessing word fluency, inhibition, and set shifting before (T1) and one year after tumor resection (T2). We constructed binary multilayer networks comprising six layers, with each layer representing frequency-specific functional connectivity between source-localized time series of 78 cortical regions. Average frontoparietal network multilayer eigenvector centrality, a measure for network integration, was calculated at both time points. Regression analyses were used to investigate associations with executive functioning. At T1, lower multilayer integration (p = 0.017) and epilepsy (p = 0.006) associated with poorer set shifting (adj. R 2  = 0.269). Decreasing multilayer integration (p = 0.022) and not undergoing chemotherapy at T2 (p = 0.004) related to deteriorating set shifting over time (adj. R 2  = 0.283). No significant associations were found for word fluency or inhibition, nor did T1 multilayer integration predict changes in executive functioning. As expected, our results establish multilayer integration of the frontoparietal network as a cross-sectional and longitudinal correlate of executive functioning in glioma patients. However, multilayer integration did not predict postoperative changes in executive functioning, which together with the fact that this correlate is also found in health and other diseases, limits its specific clinical relevance in glioma., (© 2023. The Author(s).)

Background and Objectives: Approximately 10% of patients with glioma with epilepsy need antiseizure medication (ASM) triple therapy due to refractory epilepsy. The aim of this study was to evaluate whether levetiracetam combined with valproic acid and clobazam (LEV + VPA + CLB), a frequently prescribed triple therapy, has favorable effectiveness compared with other triple therapy combinations in patients with glioma., Methods: This was a multicenter retrospective observational cohort study. The primary outcome was the cumulative incidence of time to treatment failure for any reason, from the start of ASM triple therapy treatment. The secondary outcomes included cumulative incidences of the following: (1) time to treatment failure due to uncontrolled seizures; (2) time to treatment failure due to adverse effects; and (3) time to recurrent seizures. Patients were followed up for a maximum duration of 36 months., Results: Of 1,435 patients in the original cohort, 90 patients received ASM triple therapy after second-line ASM treatment failure due to uncontrolled seizures. LEV + VPA + CLB was prescribed to 48% (43/90) and other ASM triple therapy to 52% (47/90) of patients. The cumulative incidence of treatment failure for any reason of LEV + VPA + CLB did not statistically significantly differ from that of other ASM triple therapy combinations (12 months: 47% [95% CI 31%-62%] vs 42% [95% CI 27%-56%], p = 0.892). No statistically significant differences for treatment failure due to uncontrolled seizures (12 months: 12% [95% CI 4%-25%] vs 18% [95% CI 8%-30%], p = 0.445), adverse effects (12 months: 22% [95% CI 11%-36%] vs 15% [95% CI 7%-27%], p = 0.446), or recurrent seizures (1 month: 65% [95% CI 48%-78%] vs 63% [95% CI 47%-75%], p = 0.911) were found., Discussion: LEV + VPA + CLB might show equivalent effectiveness compared with other ASM triple therapy combinations in patients with glioma., Classification of Evidence: This study provides Class III evidence that for patients with glioma with refractory epilepsy on triple therapy ASMs, LEV + VPA + CLB demonstrated similar effectiveness and tolerability compared with other ASM triple therapy combinations., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Background: Cannabinoids have been suggested to alleviate frequently experienced symptoms of reduced mental well-being such as anxiety and depression. Mental well-being is an important subdomain of health-related quality of life (HRQoL). Reducing symptoms and maintaining HRQoL are particularly important in malignant primary brain tumor patients, as treatment options are often noncurative and prognosis remains poor. These patients frequently report unprescribed cannabinoid use, presumably for symptom relieve. As studies on brain tumor patients specifically are lacking, we performed a meta-analysis of the current evidence on cannabinoid efficacy on HRQoL and mental well-being in oncological and neurological patients. Methods: We performed a systematic PubMed, PsychINFO, Embase, and Web of Science search according to PRISMA guidelines on August 2 and 3, 2021. We included randomized controlled trials (RCTs) that assessed the effects of tetrahydrocannabinol (THC) or cannabidiol (CBD) on general HRQoL and mental well-being. Pooled effect sizes were calculated using Hedges g. Risk of bias of included studies was assessed using Cochrane's Risk of Bias tool. Results: We included 17 studies: 4 in oncology and 13 in central nervous system (CNS) disease. Meta-analysis showed no effect of cannabinoids on general HRQoL ( g =-0.02 confidence interval [95% CI -0.11 to 0.06]; p =0.57) or mental well-being ( g =-0.02 [95% CI -0.16 to 0.13]; p =0.81). Conclusions: RCTs in patients with cancer or CNS disease showed no effect of cannabinoids on HRQoL or mental well-being. However, studies were clinically heterogeneous and since many glioma patients currently frequently use cannabinoids, future studies are necessary to evaluate its value in this specific population.

Background & Aims: Glioma patients experience a multitude of symptoms that negatively affect their health-related quality of life. Symptoms vary greatly across disease phases, and the patients' stable phase might be particularly suitable for assessing and treating symptoms. Identifying symptoms and patients' needs is a first step toward improving patient care. In glioma patients with stable disease, we assessed the frequency and burden of patient-reported symptoms, examined how these symptoms co-occur, and also determined whether patients would consider treatment to ameliorate specific symptoms., Methods: In this retrospective study, patients rated the frequency and burden of seventeen symptoms on a seven-point Likert scale and stated whether they would consider treatment for these symptoms. Correlations between frequency, burden, and considering treatment were evaluated with Kendall's Tau correlation coefficients. Based on partial correlations between symptom frequencies we visualized the symptoms as a network., Results: Fifty-two glioma patients with stable disease were included (31 WHO grade II/III, 21 WHO grade IV). The top five symptoms were fatigue, memory problems, reduced physical fitness, concentration problems, and drowsiness. Fatigue had the highest median frequency (4.5, interquartile range 2.5). Over half of the patients experienced three or more symptoms simultaneously and associations between all symptoms were depicted as a network. Overall, 35% of patients would consider treatment for at least one symptom. The wish to undergo symptom treatment correlated only moderately with symptom frequency and burden (range of correlations 0.24-0.57 and 0.28-0.61, respectively)., Conclusion: Glioma patients with stable disease experience multiple symptoms with a consequently high symptom burden. Despite the high prevalence of symptoms, the inclination for symptom management interventions was relatively low. The most frequent and burdensome symptoms and the way they are interrelated could serve as a roadmap for future research on symptom management in these patients., Competing Interests: The authors declare no competing interests., (© 2023 The Authors.)

Background and Objectives: About 30% of patients with glioma need an add-on antiseizure medication (ASM) due to uncontrolled seizures on ASM monotherapy. This study aimed to determine whether levetiracetam combined with valproic acid (LEV + VPA), a commonly prescribed duotherapy, is more effective than other duotherapy combinations including either LEV or VPA in patients with glioma., Methods: In this multicenter retrospective observational cohort study, treatment failure (i.e., replacement by, addition of, or withdrawal of an ASM) for any reason was the primary outcome. Secondary outcomes included (1) treatment failure due to uncontrolled seizures and (2) treatment failure due to adverse effects. Time to treatment failure was estimated from the moment of ASM duotherapy initiation. Multivariable cause-specific Cox proportional hazard models were estimated to study the association between risk factors and treatment failure. The maximum duration of follow-up was 36 months., Results: A total of 1,435 patients were treated with first-line monotherapy LEV or VPA, of which 355 patients received ASM duotherapy after they had treatment failure due to uncontrolled seizures on monotherapy. LEV + VPA was prescribed in 66% (236/355) and other ASM duotherapy combinations including LEV or VPA in 34% (119/355) of patients. Patients using other duotherapy vs LEV + VPA had a higher risk of treatment failure for any reason (cause-specific adjusted hazard ratio [aHR] 1.50 [95% CI 1.07-2.12], p = 0.020), due to uncontrolled seizures (cause-specific aHR 1.73 [95% CI 1.10-2.73], p = 0.018), but not due to adverse effects (cause-specific aHR 0.88 [95% CI 0.47-1.67], p = 0.703)., Discussion: This observational cohort study suggests that LEV + VPA has better efficacy than other ASM combinations. Similar toxicities were experienced in the 2 groups., Classification of Evidence: This study provides Class III evidence that for patients with glioma with uncontrolled seizures on ASM monotherapy, LEV + VPA has better efficacy than other ASM combinations., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the basis of the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported. Anaplastic oligodendroglial tumors (AOTs) are chemotherapy-sensitive brain tumors. We report the final very long-term survival results from European Organization for the Research and Treatment of Cancer 26951 and Radiation Therapy Oncology Group 9402 phase III trials initiated in 1990s, which both studied radiotherapy with/without neo/adjuvant procarbazine, lomustine, and vincristine (PCV) for newly diagnosed anaplastic oligodendroglial tumors. The median follow-up duration in both was 18-19 years. For European Organization for the Research and Treatment of Cancer 26951, median, 14-year, and probable 20-year overall survival rates without versus with PCV were 2.6 years, 13.4%, and 10.1% versus 3.5 years, 25.1%, and 16.8% (N = 368 overall; hazard ratio [HR] 0.78; 95% CI, 0.63 to 0.98; P = .033), with 1p19q codeletion 9.3 years, 26.2%, and 13.6% versus 14.2 years, 51.0%, and 37.1% (n = 80; HR 0.60; 95% CI, 0.35 to 1.03; P = .063), respectively. For Radiation Therapy Oncology Group 9402, analogous results were 4.8 years, 16.5%, and 11.2% versus 4.8 years, 29.1%, and 24.6% (N = 289 overall; HR 0.79; 95% CI, 0.61 to 1.03; P = .08), with codeletion 7.3 years, 25.0%, and 14.9% versus 13.2 years, 46.1%, and 37% (n = 125; HR 0.61; 95% CI, 0.40 to 0.94; P = .02), respectively. With that, the studies show similar long-term survival even without tumor recurrence in a significant proportion of patients after first-line treatment with radiotherapy/PCV., Competing Interests: Andrew B. LassmanConsulting or Advisory Role: Karyopharm Therapeutics, Sapience Therapeutics, Bayer, Orbus Therapeutics, BioClinica, Novocure, Elsevier, Vivacitas Oncology, ChimerixResearch Funding: AbbVie (Inst), Novartis (Inst), Genentech/Roche (Inst), Aeterna Zentaris (Inst), Kadmon (Inst), BeiGene (Inst), VBI Vaccines (Inst), Pfizer (Inst), Millennium (Inst), Karyopharm Therapeutics (Inst), Bayer (Inst), QED Therapeutics (Inst), Orbus Therapeutics (Inst), BMS (Inst), Chimerix (Inst), NextSource (Inst), DelMar Pharmaceuticals (Inst), Corden (Inst), Kazia Therapeutics (Inst), Servier (Inst), Semus (Inst), Novocure (Inst)Travel, Accommodations, Expenses: Karyopharm Therapeutics, QED Therapeutics, Novartis, Pfizer, VBI Vaccines, Chimerix, Orbus Therapeutics, Novocure Khê Hoang-XuanHonoraria: BTG J. Gregory CairncrossOther Relationship: IQVIA Lynn S. AshbyHonoraria: Arbor Pharmaceuticals Luis SouhamiHonoraria: Varian Medical SystemsConsulting or Advisory Role: AbbVieResearch Funding: Sanofi (Inst)Travel, Accommodations, Expenses: Varian Medical Systems Winand N.M. DinjensConsulting or Advisory Role: Bristol Myers Squibb, Roche, Bayer, AstraZeneca, Novartis, LillySpeakers' Bureau: medtlks Nadia N. LaackResearch Funding: Bristol Myers Squib (Inst) Karen L. FinkResearch Funding: Northwest Biotherapeutics (Inst), Novocure (Inst), Orbus Therapeutics (Inst), Denovo Biopharma (Inst), Translational Genomics Research Institute (Inst), CNS Pharmaceuticals (Inst), Agios (Inst), Incyte (Inst) Pim J. FrenchEmployment: Bristol Myers Squibb (I), Janssen-Cilag (I)Stock and Other Ownership Interests: Bristol Myers Squibb (I)Honoraria: AurikamedConsulting or Advisory Role: Clarionhealthcare David R. MacdonaldResearch Funding: Celgene (Inst), SERVIER (Inst). Minesh MehtaLeadership: OncoceuticsStock and Other Ownership Interests: ChimerixConsulting or Advisory Role: Karyopharm Therapeutics, Mevion Medical Systems, ZappRx, Sapience Therapeutics, XoftPatents, Royalties, Other Intellectual Property: WARF patent 14/934,27, Topical Vasoconstritor Preparations and Methods for Protecting Cells During Cancer Chemotherapy and RadiotherapyUncompensated Relationships: Xcision Medical SystemsUncompensated Relationships: ViewRay Martin J. van den BentEmployment: AstraZeneca (I)Consulting or Advisory Role: Boehringer Ingelheim, Bayer, carthera, Genenta Science, Nerviano Medical Sciences, Boston Pharmaceuticals, chimerix, AstraZenecaResearch Funding: AbbVie (Inst)No other potential conflicts of interest were reported.

An oculogyric crisis is a tonic conjugated deviation of the eyes, usually upward. We present two cases with a drug induced oculogyric crisis. The differential diagnoses should include epilepsy, a functional neurological movement disorder, ocular tics, ocular dyskinesia or ocular bobbing. Typically, in an oculogyric crisis the patient's awareness is intact; accompanied signs can be blepharospasm, neck flexion, jaw opening with or without tongue protrusion and autonomic symptoms. The underlying pathophysiology seems an imbalance between cholinergic and dopaminergic pathways. Most frequently an oculogyric crisis is caused by antidopaminergic medications, for example neuroleptics and metoclopramide. Treatment of medication-induced oculogyric crisis with parenteral anticholinergics typically leads to a fast remission of symptoms. Consider tocontinue anticholinergic therapy orally for a few days.

Objective: This study aimed at estimating the cumulative incidence of antiepileptic drug (AED) treatment failure of first-line monotherapy levetiracetam vs valproic acid in glioma patients with epilepsy., Methods: In this retrospective observational study, a competing risks model was used to estimate the cumulative incidence of treatment failure, from AED treatment initiation, for the two AEDs with death as a competing event. Patients were matched on baseline covariates potentially related to treatment assignment and outcomes of interest according to the nearest neighbor propensity score matching technique. Maximum duration of follow-up was 36 months., Results: In total, 776 patients using levetiracetam and 659 using valproic acid were identified. Matching resulted in two equal groups of 429 patients, with similar covariate distribution. The cumulative incidence of treatment failure for any reason was significantly lower for levetiracetam compared to valproic acid (12 months: 33% [95% confidence interval (CI) 29%-38%] vs 50% [95% CI 45%-55%]; P < .001). When looking at specific reasons of treatment failure, treatment failure due to uncontrolled seizures was significantly lower for levetiracetam compared to valproic acid (12 months: 16% [95% CI 12%-19%] vs 28% [95% CI 23%-32%]; P < 0.001), but no differences were found for treatment failure due to adverse effects (12 months: 14% [95% CI 11%-18%] vs 15% [95% CI 11%-18%]; P = .636)., Significance: Our results suggest that levetiracetam may have favorable efficacy compared to valproic acid, whereas level of toxicity seems similar. Therefore, levetiracetam seems to be the preferred choice for first-line AED treatment in patients with glioma., (© 2021 The Authors. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.)

Combination therapies are used in the clinic to achieve cure, better efficacy and to circumvent resistant disease in patients. Initial assessment of the effect of such combinations, usually of two agents, is frequently performed using in vitro assays. In this review, we give a short summary of the types of analyses that were presented during the Preclinical and Early-phase Clinical Pharmacology Course of the Pharmacology and Molecular Mechanisms Group, European Organization for Research and Treatment on Cancer, that can be used to determine the efficacy of drug combinations. The effect of a combination treatment can be calculated using mathematical equations based on either the Loewe additivity or Bliss independence model, or a combination of both, such as Chou and Talalay's median-drug effect model. Interactions can be additive, synergistic (more than additive), or antagonistic (less than additive). Software packages CalcuSyn (also available as CompuSyn) and Combenefit are designed to calculate the extent of the combined effects. Interestingly, the application of machine-learning methods in the prediction of combination treatments, which can include pharmacogenomic, genetic, metabolomic and proteomic profiles, might contribute to further refinement of combination regimens. However, more research is needed to apply appropriate rules of machine learning methods to ensure correct predictive models., (Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Targeted therapy against driver mutations responsible for cancer progression has been shown to be effective in many tumor types. For glioblastoma (GBM), the epidermal growth factor receptor (EGFR) gene is the most frequently mutated oncogenic driver and has therefore been considered an attractive target for therapy. However, so far responses to EGFR-pathway inhibitors have been disappointing. We performed an exhaustive analysis of the mechanisms that might account for therapy resistance against EGFR inhibition. We define two major mechanisms of resistance and propose modalities to overcome them. The first resistance mechanism concerns target independence. In this case, cells have lost expression of the EGFR protein and experience no negative impact of EGFR targeting. Loss of extrachromosomally encoded EGFR as present in double minute DNA is a frequent mechanism for this type of drug resistance. The second mechanism concerns target compensation. In this case, cells will counteract EGFR inhibition by activation of compensatory pathways that render them independent of EGFR signaling. Compensatory pathway candidates are platelet-derived growth factor β (PDGFβ), Insulin-like growth factor 1 (IGFR1) and cMET and their downstream targets, all not commonly mutated at the time of diagnosis alongside EGFR mutation. Given that both mechanisms make cells independent of EGFR expression, other means have to be found to eradicate drug resistant cells. To this end we suggest rational strategies which include the use of multi-target therapies that hit truncation mutations (mechanism 1) or multi-target therapies to co-inhibit compensatory proteins (mechanism 2)., (Copyright © 2019 The Author(s). Published by Elsevier Ltd.. All rights reserved.)