DNA methylation-based classification of malformations of cortical development in the human brain

Jabari S, Kobow K, Pieper T, Hartlieb T, Kudernatsch M, Polster T, Bien CG, Kalbhenn T, Simon M, Hamer H, Roessler K, Feucht M, Muehlebner A, Najm I, Peixoto-Santos JE, Gil-Nagel A, Delgado RT, Aledo-Serrano A, Hou Y, Coras R, Von Deimling A, Blümcke I (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Book Volume: 143

Pages Range: 93-104

Journal Issue: 1

DOI: 10.1007/s00401-021-02386-0

Open Access Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8732912/

Abstract

Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions frequently associated with epilepsy. Disease definition and diagnosis remain challenging and are often prone to arbitrary judgment. Molecular classification of histopathological entities may help rationalize the diagnostic process. We present a retrospective, multi-center analysis of genome-wide DNA methylation from human brain specimens obtained from epilepsy surgery using EPIC 850 K BeadChip arrays. A total of 308 samples were included in the study. In the reference cohort, 239 formalin-fixed and paraffin-embedded (FFPE) tissue samples were histopathologically classified as MCD, including 12 major subtype pathologies. They were compared to 15 FFPE samples from surgical non-MCD cortices and 11 FFPE samples from post-mortem non-epilepsy controls. We applied three different statistical approaches to decipher the DNA methylation pattern of histopathological MCD entities, i.e., pairwise comparison, machine learning, and deep learning algorithms. Our deep learning model, which represented a shallow neuronal network, achieved the highest level of accuracy. A test cohort of 43 independent surgical samples from different epilepsy centers was used to test the precision of our DNA methylation-based MCD classifier. All samples from the test cohort were accurately assigned to their disease classes by the algorithm. These data demonstrate DNA methylation-based MCD classification suitability across major histopathological entities amenable to epilepsy surgery and age groups and will help establish an integrated diagnostic classification scheme for epilepsy-associated MCD.

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Involved external institutions

Schön Kliniken Germany (DE) Universitätsklinikum Heidelberg Germany (DE) Federal University of São Paulo / Universidade Federal de São Paulo (UNIFESP) Brazil (BR) Universität Bielefeld Germany (DE) Cleveland Clinic United States (USA) (US) Schön Klinik Vogtareuth Germany (DE) University Medical Centre Utrecht (UMC Utrecht) Netherlands (NL) Ruber International Hospital Spain (ES) Medizinische Universität Wien Austria (AT)

How to cite

APA:

Jabari, S., Kobow, K., Pieper, T., Hartlieb, T., Kudernatsch, M., Polster, T.,... Blümcke, I. (2022). DNA methylation-based classification of malformations of cortical development in the human brain. Acta Neuropathologica, 143(1), 93-104. https://dx.doi.org/10.1007/s00401-021-02386-0

MLA:

Jabari, Samir, et al. "DNA methylation-based classification of malformations of cortical development in the human brain." Acta Neuropathologica 143.1 (2022): 93-104.

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