Purpose To estimate diagnostic yield and genotype-phenotype correlations in a cohort of 811 patients with lissencephaly or subcortical band heterotopia. Methods We collected DNA from 756 children with lissencephaly over 30 years. Many were tested for deletion 17p13.3 and mutations of LIS1, DCX and ARX, but few other genes. Among those tested, 216 remained unsolved and were tested by a targeted panel of 17 genes (ACTB, ACTG1, ARX, CRADD, DCX, LIS1, TUBA1A, TUBA8, TUBB2B, TUBB, TUBB3, TUBG1, KIF2A, KIF5C, DYNC1H1, RELN and VLDLR) or by whole exome sequencing. 55 patients studied in another institution were added as a validation cohort. Results The overall mutation frequency in the entire cohort was 81%. LIS1 accounted for 40% of patients, followed by DCX (23%), TUBA1A (5%), and DYNC1H1 (3%). Other genes accounted for 1% or less of patients. 19% remained unsolved, which suggests that several additional genes remain to be discovered. The majority of unsolved patients had posterior pachygyria, subcortical band heterotopia or mild frontal pachygyria. Conclusions The brain-imaging pattern correlates with mutations in single lissencephaly-associated genes, as well as in biological pathways. We propose the first LIS classification system based on the underlying molecular mechanisms.

No abstract

Focal malformations of cortical development (FMCD) including focal cortical dysplasia (FCD), hemimegalencephaly (HMEG) and megalencephaly (MEG), constitute a spectrum of neurodevelopmental disorders associated with brain overgrowth, cellular and architectural dysplasia, intractable epilepsy, autism, and intellectual disability. Importantly, FCD is the most common cause of intractable pediatric focal epilepsy. Gain and loss of function mutations in the PI3K-AKT-MTOR pathway have been identified in this spectrum, with variable levels of mosaicism and tissue distribution. In this study, we aimed to assess droplet digital Polymerase Chain Reaction (ddPCR) as a first-tier molecular diagnostic method, as well as define genotype-phenotype relationships among the most common PI3K-AKT-MTOR pathway mutations in FMCD. A total of 144 specimens, including 113 brain samples, were collected from 58 individuals with intractable focal epilepsy phenotypes including FCD, MEG, HMEG and other types of developmental cortical lesions. We designed an ultra-deep and highly sensitive molecular diagnostic panel using ddPCR for six of the most common mutations in three PI3K-AKT-MTOR pathway genes, namely PIK3CA (p.E542K, p.E545K, p.H1047R), AKT3 (p.E17K) and MTOR (p.S2215F, p.S2215Y). We quantified the level of mosaicism across all samples and correlated genotypes with key phenotype, neuroimaging and neuropathological data. Pathogenic variants were identified in 17 individuals, with an overall molecular solve rate of 29.31%. Variant allele fractions (VAF) ranged from 0.1% to 22.67% across all positive samples. Our data shows that MTOR mutations are mostly associated with FCD, whereas PIK3CA mutations are more frequent in the HMEG-DMEG spectrum. The presence of one of these common PI3K-AKT-MTOR-mutations correlated with earlier onset of seizures. However, levels of mosaicism did not correlate with the severity of the cortical malformation by neuroimaging or neuropathological examination. Interestingly, we could not identify the six most common pathogenic variants in other types of cortical lesions (e.g., polymicrogyria or mesial temporal sclerosis) suggesting that PI3K-AKT-MTOR mutations are specifically causal in the FCD-HMEG-MEG spectrum. Finally, our data suggest that ultra-deep targeted molecular analysis for the most common PI3K-AKT-MTOR mutations via ddPCR is an effective molecular diagnostic approach for FMCD phenotypes with a good diagnostic yield when paired with neuroimaging and neuropathology evaluations. The high sensitivity and low DNA input requirements suggests that ddPCR is an effective molecular diagnostic tool for disorders caused by somatic mutations with a narrow mutational spectrum, including specific subtypes of pediatric epilepsy surgical phenotypes such as FCD and HMEG.