Conceptio › Archive › NCBI PubMed Central
NCBI PubMed Central open access

Case Report: Epidermal growth factor receptor germline variant associated with epilepsy and rare, distinctive cerebral MRI abnormalities.

Ferreira EA et al. · ncbi_pmc
NCBI PubMed Central · Papers
Open Source ↗Direct PDF ↓
consciousness-neuroscience
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

Case Report: Epidermal growth factor receptor germline variant associated with epilepsy and rare, distinctive cerebral MRI abnormalities - PMC Skip to main content An official website of the United States government Here's how you know Here's how you know Search Log in Primary site navigation Search Log in Search PMC Full-Text Archive Search in PMC Journal List User Guide As a library, NLM provides access to scientific literature. Inclusion in an NLM database does not imply endorsement of, or agreement with, the contents by NLM or the National Institutes of Health. Learn more: PMC Disclaimer | PMC Copyright Notice Front Radiol . 2026 May 18;6:1782924. doi: 10.3389/fradi.2026.1782924 Case Report: Epidermal growth factor receptor germline variant associated with epilepsy and rare, distinctive cerebral MRI abnormalities Elise A Ferreira 1, 2 , Machteld M Oud 2, 3 , Erik-Jan Kamsteeg 3 , Clara D M van Karnebeek 1, 2, 4 , Mirjam Langeveld 5 , Edward M Leter 6 , Maartje J Vogel 7 , Nicole I Wolf 8, 9 , Stefan D Roosendaal 10 , Jeroen J van Dillen 11 , Olaf E M G Schijns 12, 13, 14 , Simon Tousseyn 13, 14 , Christianne Hoeberigs 15 , Rob P W Rouhl 13, 14, 16, † , Saskia N van der Crabben 7, *, † Author information Article notes Copyright and License information 1 Department of Paediatrics, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, Netherlands 2 United for Metabolic Diseases, Netherlands 3 Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands 4 Emma Center for Personalized Medicine, Department of Human Genetics, Amsterdam University Medical Center, Amsterdam, Netherlands 5 Department of Endocrinology and Metabolism, Research Institute Gastroenterology, Endocrinology and Metabolism (AGEM), Amsterdam University Medical Center, Amsterdam, Netherlands 6 Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, Netherlands 7 Department of Human Genetics, Amsterdam University Medical Center, Amsterdam, Netherlands 8 Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, Netherlands 9 Amsterdam Neuroscience, Cellular & Molecular Mechanisms, Vrije Universiteit, Amsterdam, Netherlands 10 Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands 11 Department of Neurology, Elkerliek Hospital, Helmond, Netherlands 12 Department of Neurosurgery, Maastricht University Medical Center+, Maastricht, Netherlands 13 Academic Center for Epileptology Kempenhaeghe/MUMC+, Heeze and Maastricht, Netherlands 14 Mental Health and Neuroscience Research Institute, Maastricht University, Maastricht, Netherlands 15 Department of Radiology, Maastricht University Medical Center+, Maastricht, Netherlands 16 Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands * Correspondence: Saskia N. van der Crabben saskia.van.der.crabben@mumc.nl † These authors have contributed equally to this work and share last authorship Roles Elise A Ferreira : Conceptualization, Data curation, Investigation, Methodology, Writing – original draft, Writing – review & editing Machteld M Oud : Data curation, Formal analysis, Methodology, Writing – review & editing Erik-Jan Kamsteeg : Writing – review & editing, Data curation, Methodology Clara D M van Karnebeek : Supervision, Writing – review & editing, Funding acquisition Mirjam Langeveld : Data curation, Writing – review & editing, Investigation, Supervision Edward M Leter : Data curation, Writing – review & editing Maartje J Vogel : Data curation, Methodology, Writing – review & editing Nicole I Wolf : Data curation, Methodology, Writing – review & editing Stefan D Roosendaal : Data curation, Writing – review & editing, Methodology Jeroen J van Dillen : Data curation, Writing – review & editing Olaf E M G Schijns : Data curation, Writing – review & editing Simon Tousseyn : Data curation, Writing – review & editing Christianne Hoeberigs : Data curation, Writing – review & editing Rob P W Rouhl : Data curation, Writing – original draft, Writing – review & editing, Methodology Saskia N van der Crabben : Conceptualization, Data curation, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing Received 2026 Jan 7; Revised 2026 Mar 30; Accepted 2026 Mar 31; Collection date 2026. © 2026 Ferreira, Oud, Kamsteeg, van Karnebeek, Langeveld, Leter, Vogel, Wolf, Roosendaal, van Dillen, Schijns, Tousseyn, Hoeberigs, Rouhl and van der Crabben. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. PMC Copyright notice PMCID: PMC13223146  PMID: 42232761 Abstract Background Somatic pathogenic variants in EGFR have recently been implicated in lesional focal epilepsy, typically in association with low-grade epilepsy-associated tumors. Germline EGFR variants, however, have not previously been linked to epilepsy-related neuroimaging phenotypes. Case presentation We report a large multigenerational family in which multiple individuals presented with epilepsy, progressive cognitive impairment, and striking, bilateral mesiotemporal and thalamic MRI abnormalities. Through deep phenotyping and reanalysis of exome sequencing data a rare, heterozygous, germline EGFR variant [ NM_005228.5 :c.866C > A p.(Ala289Asp)] was identified and shown to segregate with the neurological phenotype. Conclusion This case report expands the phenotypic spectrum associated with EGFR by demonstrating that a germline variant can underlie epilepsy and characteristic non-neoplastic MRI abnormalities. Our findings underscore the importance of multidisciplinary re-evaluation of variants of uncertain significance (VUS) and segregation analysis in large families. Keywords: case report, EGFR, epilepsy, germline variant, MRI abnormalities Introduction Approximately 3% of the general population is affected by rare neurological disorders ( 1 , 2 ). Despite advances in exome and genome sequencing, a substantial proportion of cases remain unresolved, particularly when potentially pathogenic variants are classified as variants of unknown significance (VUS) ( 3 ). Interpretation of such variants often requires extensive phenotyping, segregation analysis, and multidisciplinary evaluation. However, as such approaches require substantial organizational and clinical effort, this time-consuming process is not routinely feasible, leaving many VUS unresolved. The EGFR gene encodes a receptor tyrosine kinase that regulates growth, differentiation, maintenance, and repair of multiple tissues. Somatic pathogenic EGFR variants are well established in glioblastoma multiforme. Germline EGFR variants have mainly been associated with lung cancer, though only when combined with other (external) factors and/or additional somatic variants ( 4 ). Recently, an association between somatic EGFR variants and drug-resistant lesional focal epilepsy (LFE) caused by low-grade epilepsy-associated tumors (LEATs) was demonstrated ( 5 ). Here, we describe a large family presenting with epilepsy, progressive cognitive decline, and highly characteristic cerebral MRI abnormalities, segregating with a rare germline EGFR variant initially classified as a VUS. Only after combined deep geno- and phenotyping in a multidisciplinary, multicenter setting, this variant was considered likely pathogenic. This case highlights the importance of systematic re-evaluation of genomic data in the context of detailed phenotyping and family-based analysis. Case description Summary of clinical and genetic findings The index patient (IV-2, Figure 1 ; see also Table 1 for summary), a 60-year-old male, presented with unexplained syncope. Cardiological evaluation revealed a conduction disorder requiring pacemaker implantation. He was later admitted to the intensive care unit for hypercapnic coma, possibly related to obstructive sleep apnea, which was subsequently treated with continuous positive airway pressure (CPAP). From his admission onwards he developed temporal lobe epilepsy and progressive cognitive disturbances, predominantly memory impairment and reduced attention span. Neurological evaluation, including brain MRI, demonstrated rare, symmetrical bilateral T2-FLAIR hyperintensity and swelling of the mesiotemporal regions and thalami ( Figure 2 ). Figure 1. Open in a new tab Pedigree of the family. +(plus) EGFR missense variant identified in ES genotyping data. *(asterisks) obligate carrier of the germline EGFR variant. Table 1. Summary of clinical and genetic findings. Individual Age at symptom onset (years) Key clinical features Seizure classification Brain MRI findings Genetic testing and results Follow-up/outcome IV-2 (index patient) 60 Unexplained syncope; later temporal lobe epilepsy; progressive cognitive decline (memory and attention deficits); obstructive sleep apnea Focal seizures with intact consciousness and sensory onset Bilateral symmetrical mesiotemporal and thalamic T2-FLAIR hyperintensity with increased volume Initial gene panels and exome sequencing negative; exome reanalysis identified heterozygous EGFR c.866C > A p.(Ala289Asp) Persistent epilepsy and cognitive impairment; MRI abnormalities stable over time V-2 (daughter of IV-2) 25 Temporal lobe epilepsy Focal seizures with intact consciousness and sensory onset Identical bilateral mesiotemporal and thalamic T2-FLAIR hyperintensity Exome sequencing confirmed EGFR c.866C > A p.(Ala289Asp) Ongoing epilepsy IV-7 55 Drug-resistant temporal lobe epilepsy Focal seizures with intact consciousness and sensory onset Bilateral mesiotemporal abnormalities Genetic reanalysis identified EGFR c.866C > A p.(Ala289Asp) Seizure freedom after temporal lobe resection IV-20 Adulthood Temporal lobe epilepsy; cognitive impairment Focal seizures with impaired consciousness and sensory onset Bilateral mesiotemporal and thalamic T2-FLAIR hyperintensity Trio-exome sequencing; EGFR c.866C > A p.(Ala289Asp) identified after reanalysis Persistent epilepsy IV-21 Adulthood Temporal lobe epilepsy; verbal memory deficits Focal seizures with intact and some with impaired consciousness and sensory onset Bilateral hippocampal and thalamic abnormalities Trio-exome sequencing; EGFR c.866C > A p.(Ala289Asp) Persistent epilepsy and cognitive impairment IV-23 Adulthood Epilepsy Focal seizures with impaired consciousness and sensory onset Bilateral mesiotemporal and thalamic abnormalities Trio-exome sequencing; EGFR c.866C > A p.(Ala289Asp) Persistent epilepsy Open in a new tab Figure 2. Open in a new tab Similar MRI imaging findings in different patients:. a-d) index patient IV-1 with hyperintensity of the hippocampi on coronal FLAIR (arrows, a) and thalami on axial T2w [open arrow, (b) without restricted diffusion on DWI (c) and corresponding ADC (d) in the thalami e-f] coronal FLAIR (e) and axial T2w (f) of patient V-2 with bilateral hyperintensity and swelling of hippocampi (arrow) and amygdala (dotted arrow) g-h) coronal FLAIR (g) and axial T2w (h) of patient IV-7 with bilateral hyperintensity and swelling of hippocampi (arrow) and amygdala (dotted arrow) i-l) coronal FLAIR (i) and axial T2w (j) of patient IV-21 with hyperintensity and swelling of hippocampi (arrow) and amygdala (dotted arrow), left more than right without restricted diffusion in the mesial temporal lobe on DWI (k) and corresponding ADC (l) m-n) coronal FLAIR (m) and axial T2w (n) of patient IV-20 with bilateral hyperintensity and swelling of hippocampi (arrow) and amygdala (dotted arrow) o-p) coronal FLAIR (o) and axial T2w (p) of patient V-23 with bilateral hyperintensity and swelling of hippocampi (arrow) and amygdala (dotted arrow). Family history revealed that the index patient's brother (IV-4) died suddenly at the age of 34 years after a history of unexplained epileptic seizures since age 25. Autopsy revealed edema and gliosis/astrocytosis in the hippocampi and amygdalae. One of his sisters (IV-7) underwent right temporal lobe resection for drug-resistant epilepsy at the age of 55 years. Histopathological examination showed gliosis and atypical hippocampal sclerosis (ILAE type 3), without evidence of neoplasia. Extensive diagnostic evaluation—including cerebrospinal fluid analysis, autoimmune antibody testing, muscle biopsy and DNA analysis using cardiomyopathy, arrhythmia, and mitochondrial gene panels as well as exome sequencing—did not identify a (likely) underlying cause. During the diagnostic process, index patient's daughter (V-2) developed epilepsy at the age of 25 years. Brain MRI revealed identical bilateral mesiotemporal and thalamic abnormalities ( Figure 2 ). Upon suspicion of an autosomal dominant inherited disease, patients IV-2, V-2 and IV-7 were included in the ZOEMBA study. In another hospital, three siblings (Family B: IV-20, IV-21, IV-23) presented with epilepsy and cognitive disturbances. Brain MR revealed increased bilateral mesiotemporal and thalamic T2 FLAIR signal intensity and volume ( Figure 2 ). In all patients, MRI was performed using a 3 Tesla Philips Achieva or Ingenia Scanner, using an dedicated epilepsy, following the HARNESS guidelines ( Table 2 ). Their verbal memory deficits could be directly connected to the hippocampal lesions in the dominant hemisphere. Upon suspicion of an inherited disease trio-exome sequencing was performed; however no (likely) pathogenic variants were identified. The EGFR variant detected by open exome analysis was at that time classified as VUS and not deemed causative. Table 2. MRI scanning protocol for all patients. MR sequence and plane Voxel size (mm) Repetition Time (ms)/Echo Time (ms) T2 Axial 0.50 × 0.62 × 5.0 2,656/80 3D T1 Sagittal 1.0 × 1.0 × 1.0 811/3,708 IR Coronal 0.55 × 0.78 × 2.0 8,645/10 3D FLAIR Sagittal 1.10 × 1.11 × 1.20 8,000/337,94 DWI Axial 1.82 × 1.85 × 5.0 10,000/73,107 SWI Axial 0.6 × 0.6 × 2.0 Open in a new tab Additional family history taking in Family A subsequently revealed connection between Family A and Family B. Comparison of medical data demonstrated identical clinical phenotypes and strikingly identical and distinctive MRI abnormalities, supporting the clinical suspicion of a rare, novel autosomal dominant inherited disease. Diagnostic assessment and therapeutic intervention Initial genetic testing did not identify pathogenic variants in any of the individual patients. Only after familial clustering of identical clinical symptoms and a characteristic MRI phenotype were recognized, suspicion of a rare, novel, likely autosomal dominant inherited disease arose. All affected individuals from Family A were therefore included in the international ZOEMBA study ( http://www.clinicaltrials.gov ; NCT06200142 ). This study focuses on deep phenotyping and reanalysis of exome sequencing data after standard diagnostic work-up has failed to yield a clinical diagnosis in a patient suspected of harboring an inherited disease. In our patients, MRI showed symmetric T2- and FLAIR hyperintensities involving the mesiotemporal structures and thalami. The most common cause of symmetric involvement of the amygdala and hippocampus on MRI is limbic encephalitis. Limbic encephalitis, including both paraneoplastic and non-paraneoplastic forms such as those associated with GAD65 and GFAP antibodies, can also affect extra-limbic structures such as the striatum or thalami ( 6 , 7 ). MRI in limbic encephalitis typically shows restricted diffusion due to cytotoxic edema ( 8 ), which was not observed in any of our patients. Moreover no detectable autoimmune antibodies were identified. In addition the abnormalities on T2-weighted and FLAIR images appeared solid rather than edematous. Limbic and thalamic involvement can also be observed in postictal changes, however these typically demonstrate restricted diffusion caused by excitotoxic edema and resolve on follow-up imaging ( 9 ). Bilateral thalamic involvement can also be seen in several toxic (exogenous) and metabolic (endogenous) pathologies, including Wernicke's encephalopathy, Leigh syndrome, flavivirus encephalitis and Creutzfeldt-Jakob disease; however, extensive clinical and genetic evaluation in our patients did not support any of these diagnoses. Moreover, these conditions are not consistent with the pattern of affected individuals observed in the pedigree, which suggests an autosomal dominant mode of inheritance. As part of the ZOEMBA study, exome reanalysis was performed for affected individuals IV-2, V-2, and IV-7 using the Radboudumc custom annotation pipeline ( 10 ). Exome data (derived from patient's diagnostic BAM files) was filtered for rare variants (variant frequency <1% in dbSNP, GnomAD v2.1 and in-house database) that were shared by all three affected individuals. Short nucleotide variant calling was carried out using GATK v.3.4-46, copy number variants were called using Canvas Copy Number Variant Caller v.1.40.0 (Illumina), and variants were annotated using an in-house developed diagnostic pipeline. Short-tandem repeats (STRs) were analyzed using Expansion Hunter v3.1.2. with default settings. De novo mutations (DNMs) were called as previously described by Lelieveld et al. and by using DeNovoCNN v1.1.0 ( 10 ). Subsequently, missense variants with a CADD score >20 or SpliceAI score ≠ 0 and nonsense variants were prioritized resulting in a shortlist of 74 variants in 68 genes. Because the anatomical distribution of the MRI abnormalities in our patients resembled the anatomical distribution seen in diffuse midline gliomas ( 11 ), genes associated with midline and temporal brain lesions were prioritized. This revealed a rare heterozygous EGFR [Chr7(GRCh38):g.55154129C > A/Chr7(GRCh37):g.55221822C] variant [ NM_005228.5 :c.866C > A; p.(Ala289Asp)]. The same variant was found in family B and reconsidered to underlie the phenotype in both families. The EGFR variant is absent from GnomAD v4.1 which fulfills the ACMG PM2 criterion and provides supporting evidence for pathogenicity. The variant affects a highly conserved residue (phyloP score 7.882). Most in silico missense prediction tools suggested a deleterious effect [CADD score 29.7, REVEL score 0.590, AlphaMissense score 0.952, BayesDel (noAF) 0.26]. The Alanine residue at position 289 lies within the extracellular EGFR domain, a known hotspot for somatic gain-of-function variants in glioblastoma and other tumors ( 12 , 13 ). SKMG03 is a human brain astrocytoma (glioblastoma) cell line that harbours the p.(Ala289Asp) variant in EGFR. Depletion of EGFR by shRNA induces cell death specifically in these cells, indicating that the p.(Ala289Asp) EGFR variant is the driver variant for SKMG03 cell proliferation and thus, a gain-offunction variant ( 14 ). This specific variant (‘A289D’) is listed as ‘Likely oncogenic’ and ‘Likely Gain of function variant’ in OncoKB database ( 15 , 16 ) highlighting the functional relevance of this residue. We propose that this evidence supports application of ACMG criterion PM1 at supporting level as the variant is located in a mutational hotspot and/or critical, well-established functional domain, with six occurrences of A289D in Chang et al. ( 15 ). Segregation analysis across both family branches demonstrated co-segregation of the EGFR variant with the neurological phenotype. One obligate carrier (III-2) remained largely asymptomatic at the age of 88 years, but showed milder MRI abnormalities. Of other obligate carriers, individual III-3 was reportedly clinically unaffected, while clinical details of II-2 were unavailable. However, subtle focal seizures with sensory onset (arising from the temporal lobe) may have gone unrecognized. Several additional family members (II-4, III-15, II-7, III-5, III-9, III-22, III-25, and III-26) were reported to have had comparable neurological symptoms, but detailed clinical data were no longer accessible. The co-segregation in this family, yielding a LOD score of 4.28, corresponding to a likelihood ratio of 19,03, provides evidence for pathogenicity under the ACMG PP1 criterion. According to the likelihood ratio thresholds proposed by Tavtigian et al. ( 17 ) this evidence would qualify as ‘Very Strong’. Since the co-segregation evidence is from a single family we formally cannot exclude the possibility of other, undetected, pathogenic variants in the same gene and therefore we propose to use PP1_strong. Using the point based system (instead of combining criteria) a conservative classification ( 18 ) of EGFR c.866C > A p.(Ala289Asp) would be ‘Likely Pathogenic’ (PP1_strong, PM1_supporting, PM2_supporting). In clinical practice the classification of the variant would remain VUS (suspicious for pathogenicity) until the gene-disease association has been accepted ( 19 ). Follow-up and outcomes Affected individuals showed persistent epilepsy and slowly progressive cognitive decline. MRI abnormalities remained stable over time, without radiological progression or development of neoplasia. Family history did not reveal an increased incidence of brain tumors or other malignancies. Treatment consisted mainly of antiseizure medications. All affected family members are currently under shared care of a single neurologist to improve communication, continuity of care, and disease-specific expertise. Epilepsy was drug-resistant in several individuals. Discussion This case report describes, for the first time, an association between a germline EGFR variant and epilepsy, progressive cognitive impairment and distinctive bilateral mesiotemporal and thalamic MRI abnormalities. Previously, EGFR -related epilepsy has only been reported in the context of somatic variants in lesional focal epilepsy ( 5 ). In the adult brain, EGFR plays a critical role in regulating neurogenic niches in the hippocampus and thalamus ( 20 ). Increased EGFR expression has been observed in epileptogenic brain tissue, suggesting a role in epileptogenesis independent of neoplasia ( 21 ). Somatic EGFR mutations however promote tumorigenesis because they arise in a single proliferative cell and confer a clonal growth advantage under positive selection, often in cooperation with additional oncogenic alterations, leading to malignant expansion. For germline variants, being present in all cells from conception onwards, we hypothesize that these could potentially increase EGFR signaling promoting astrocytic activation and gliosis through upregulation of GFAP filaments, shifting astrocytes toward a reactive state ( 22 , 23 ). This early imbalance in brain development between astrocytes and neurons may explain the glioma-like, yet non-neoplastic, MRI appearance and epilepsy observed in this family, particularly in regions rich in neural stem cells such as the hippocampus and thalamus ( 24 ). Importantly, the genetic diagnosis only emerged after recognition that two independently investigated families with non-diagnostic exome sequencing and identical MRI abnormalities were in fact related, underscoring the critical role of deep phenotyping, extended family reconstruction, and periodic re-evaluation of VUS. Strengths of this report include extensive phenotypic characterization and segregation analysis across a large multigenerational family, while limitations include the absence of functional validation studies. Patient perspective Patients and family members described a prolonged and fragmented diagnostic trajectory with considerable uncertainty regarding prognosis and recurrence risk. Identification of a shared genetic cause provided clarity and facilitated genetic counseling, although targeted treatment options remain limited. Centralization of care under a single neurologist improved continuity of care and communication. Acknowledgments We are grateful to the families for their participation in this study; our clinical and laboratory colleagues in Amsterdam UMC and Maastricht UMC for managing these patients; Prof Hans Waterham and United for Metabolic Diseases team for the research collaborations. Funding Statement The author(s) declared that financial support was received for this work and/or its publication. This research was supported by Stichting Metakids (Grant Number UMD-ZOE-2022-012) and United for Metabolic Diseases. The contents of this article have not been influenced by the sponsors. Footnotes Edited by: Alfonso Mastropietro , National Research Council (CNR), Italy Reviewed by: Martina Di Stasi , Ospedali riuniti San Giovanni di Dio e Ruggi d'Aragona, Italy Jana Marie Schwarz , Charité University Medicine Berlin, Germany Data availability statement The datasets presented in this article are not readily available due to privacy restrictions. Requests to access the datasets should be directed to the corresponding author. Ethics statement The studies involving humans were approved by Ethical Committe Amsterdam University Medical Centers. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article. Author contributions EF: Conceptualization, Data curation, Investigation, Methodology, Writing – original draft, Writing – review & editing. MO: Data curation, Formal analysis, Methodology, Writing – review & editing. EK: Writing – review & editing, Data curation, Methodology. Cv: Supervision, Writing – review & editing, Funding acquisition. ML: Data curation, Writing – review & editing, Investigation, Supervision. EL: Data curation, Writing – review & editing. MV: Data curation, Methodology, Writing – review & editing. NW: Data curation, Methodology, Writing – review & editing. SR: Data curation, Writing – review & editing, Methodology. Jv: Data curation, Writing – review & editing. OS: Data curation, Writing – review & editing. ST: Data curation, Writing – review & editing. CH: Data curation, Writing – review & editing. RR: Data curation, Writing – original draft, Writing – review & editing, Methodology. SV: Conceptualization, Data curation, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing. Conflict of interest The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Generative AI statement The author(s) declared that generative AI was not used in the creation of this manuscript. Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us. Publisher's note All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher. References 1. van Eeghen AM, Bruining H, Wolf NI, Bergen AA, Houtkooper RH, van Haelst MM, et al. Personalized medicine for rare neurogenetic disorders: can we make it happen? Cold Spring Harb Mol Case Stud. (2022) 8(2):a006200. 10.1101/mcs.a006200 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 2. Ferreira EA, Buijs MJN, Wijngaard R, Daams JG, Datema MR, Engelen M, et al. Inherited metabolic disorders in adults: systematic review on patient characteristics and diagnostic yield of broad sequencing techniques (exome and genome sequencing). Front Neurol. (2023) 14:1206106. 10.3389/fneur.2023.1206106 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 3. Chen E, Facio FM, Aradhya KW, Rojahn S, Hatchell KE, Aguilar S, et al. Rates and classification of variants of uncertain significance in hereditary disease genetic testing. JAMA Netw Open. (2023) 6(10):e2339571. 10.1001/jamanetworkopen.2023.39571 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 4. Liu M, Niu X, Liu H, Chen J. Germline EGFR mutations in lung cancer (review). Oncol Lett. (2023) 26(1):282. 10.3892/ol.2023.13868 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 5. Bosselmann CM, Leu C, Brunger T, Hoffmann L, Baldassari S, Chipaux M, et al. Analysis of 1386 epileptogenic brain lesions reveals association with DYRK1A and EGFR. Nat Commun. (2024) 15(1):10429. 10.1038/s41467-024-54911-w [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 6. Sanvito F, Pichiecchio A, Paoletti M, Rebella G, Resaz M, Benedetti L, et al. Autoimmune encephalitis: what the radiologist needs to know. Neuroradiology. (2024) 66(5):653–75. 10.1007/s00234-024-03318-x [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 7. Dubey S, Ghosh R, Dubey MJ, Sengupta S, Benito-Leon J, Ray BK. Bilateral thalamic changes in anti-NMDAR encephalitis presenting with hemichorea and dystonia and acute transient psychotic disorder. J Neuroimmunol. (2020) 347:577329. 10.1016/j.jneuroim.2020.577329 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 8. Sener RN. MRI And diffusion MRI in nonparaneoplastic limbic encephalitis. Comput Med Imaging Graph. (2002) 26(5):339–42. 10.1016/S0895-6111(02)00022-8 [ DOI ] [ PubMed ] [ Google Scholar ] 9. Williams JA, Bede P, Doherty CP. An exploration of the spectrum of peri-ictal MRI change; a comprehensive literature review. Seizure. (2017) 50:19–32. 10.1016/j.seizure.2017.05.005 [ DOI ] [ PubMed ] [ Google Scholar ] 10. Lelieveld SH, Reijnders MR, Pfundt R, Yntema HG, Kamsteeg EJ, de Vries P, et al. Meta-analysis of 2,104 trios provides support for 10 new genes for intellectual disability. Nat Neurosci. (2016) 19(9):1194–6. 10.1038/nn.4352 [ DOI ] [ PubMed ] [ Google Scholar ] 11. Aboian MS, Solomon DA, Felton E, Mabray MC, Villanueva-Meyer JE, Mueller S, et al. Imaging characteristics of pediatric diffuse midline gliomas with histone H3 K27M mutation. AJNR Am J Neuroradiol. (2017) 38(4):795–800. 10.3174/ajnr.A5076 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 12. Chang MT, Asthana S, Gao SP, Lee BH, Chapman JS, Kandoth C, et al. Identifying recurrent mutations in cancer reveals widespread lineage diversity and mutational specificity. Nat Biotechnol. (2016) 34(2):155–63. 10.1038/nbt.3391 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 13. Oxnard GR, Chen R, Pharr JC, Koeller DR, Bertram AA, Dahlberg SE, et al. Germline EGFR mutations and familial lung cancer. J Clin Oncol. (2023) 41(34):5274–84. 10.1200/JCO.23.01372 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 14. Vivanco I, Robins HI, Rohle D, Campos C, Grommes C, Nghiemphu PL, et al. Differential sensitivity of glioma- versus lung cancer-specific EGFR mutations to EGFR kinase inhibitors. Cancer Discov. (2012) 2(5):458–71. 10.1158/2159-8290.CD-11-0284 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 15. Chakravarty D, Gao J, Phillips SM, Kundra R, Zhang H, Wang J, et al. OncoKB: a precision oncology knowledge base. JCO Precis Oncol. (2017) 2017:PO.17.00011. 10.1200/PO.17.00011 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 16. Suehnholz SP, Nissan MH, Zhang H, Kundra R, Nandakumar S, Lu C, et al. Quantifying the expanding landscape of clinical actionability for patients with cancer. Cancer Discov. (2024) 14(1):49–65. 10.1158/2159-8290.CD-23-0467 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 17. Tavtigian SV, Greenblatt MS, Harrison SM, Nussbaum RL, Prabhu SA, Boucher KM, et al. Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification framework. Genet Med. (2018) 20(9):1054–60. 10.1038/gim.2017.210 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 18. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology. Genet Med. (2015) 17(5):405–24. 10.1038/gim.2015.30 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 19. Chong JX, Berger SI, Baxter S, Smith E, Xiao C, Calame DG, et al. Considerations for reporting variants in novel candidate genes identified during clinical genomic testing. Genet Med. (2024) 26(10):101199. 10.1016/j.gim.2024.101199 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 20. Robson JP, Wagner B, Glitzner E, Heppner FL, Steinkellner T, Khan D, et al. Impaired neural stem cell expansion and hypersensitivity to epileptic seizures in mice lacking the EGFR in the brain. FEBS J. (2018) 285(17):3175–96. 10.1111/febs.14603 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 21. Vasudevaraja V, Rodriguez JH, Pelorosso C, Zhu K, Buccoliero AM, Onozato M, et al. Somatic focal copy number gains of noncoding regions of receptor tyrosine kinase genes in treatment-resistant epilepsy. J Neuropathol Exp Neurol. (2021) 80(2):160–8. 10.1093/jnen/nlaa137 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 22. Pekny M, Pekna M, Messing A, Steinhauser C, Lee JM, Parpura V, et al. Astrocytes: a central element in neurological diseases. Acta Neuropathol. (2016) 131(3):323–45. 10.1007/s00401-015-1513-1 [ DOI ] [ PubMed ] [ Google Scholar ] 23. Liu B, Neufeld AH. Activation of epidermal growth factor receptors in astrocytes: from development to neural injury. J Neurosci Res. (2007) 85(16):3523–9. 10.1002/jnr.21364 [ DOI ] [ PubMed ] [ Google Scholar ] 24. Romano R, Bucci C. Role of EGFR in the nervous system. Cells. (2020) 9(8):1887. 10.3390/cells9081887 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Associated Data This section collects any data citations, data availability statements, or supplementary materials included in this article. Data Availability Statement The datasets presented in this article are not readily available due to privacy restrictions. Requests to access the datasets should be directed to the corresponding author. Articles from Frontiers in Radiology are provided here courtesy of Frontiers Media SA ACTIONS View on publisher site PDF (636.1 KB) Cite Collections Permalink RESOURCES Similar articles Cited by other articles Links to NCBI Databases Follow NCBI NCBI on X (formerly known as Twitter) NCBI on Facebook NCBI on LinkedIn NCBI on GitHub NCBI RSS feed Connect with NLM NLM on X (formerly known as Twitter) NLM on Facebook NLM on YouTube National Library of Medicine 8600 Rockville Pike Bethesda, MD 20894 Web Policies FOIA HHS Vulnerability Disclosure Help Accessibility Careers NLM NIH HHS USA.gov Back to Top

Related documents

Record · ID 251257 · SHA-256 5da2726f4ec06f9c
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive