Genome wide DNA methylation analysis identifies novel molecular subgroups and predicts survival in neuroblastoma.

ABSTRACT:

Background

Neuroblastoma is the most common malignancy in infancy, accounting for 15% of childhood cancer deaths. Outcome for the high-risk disease remains poor. DNA-methylation patterns are significantly altered in all cancer types and can be utilised for disease stratification.

Methods

Genome-wide DNA methylation (n = 223), gene expression (n = 130), genetic/clinical data (n = 213), whole-exome sequencing (n = 130) was derived from the TARGET study. Methylation data were derived from HumanMethylation450 BeadChip arrays. t-SNE was used for the segregation of molecular subgroups. A separate validation cohort of 105 cases was studied.

Results

Five distinct neuroblastoma molecular subgroups were identified, based on genome-wide DNA-methylation patterns, with unique feat

SUBMITTER: Lalchungnunga H 

PROVIDER: S-EPMC9681858 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature