Integrated multiomics analysis of hepatoblastoma unravels its heterogeneity and provides novel druggable targets.
Cancer genomics
Liver cancer
Next-generation sequencing
Paediatric cancer
Journal
NPJ precision oncology
ISSN: 2397-768X
Titre abrégé: NPJ Precis Oncol
Pays: England
ID NLM: 101708166
Informations de publication
Date de publication:
2020
2020
Historique:
received:
06
01
2020
accepted:
01
06
2020
entrez:
14
7
2020
pubmed:
14
7
2020
medline:
14
7
2020
Statut:
epublish
Résumé
Although hepatoblastoma is the most common pediatric liver cancer, its genetic heterogeneity and therapeutic targets are not well elucidated. Therefore, we conducted a multiomics analysis, including mutatome, DNA methylome, and transcriptome analyses, of 59 hepatoblastoma samples. Based on DNA methylation patterns, hepatoblastoma was classified into three clusters exhibiting remarkable correlation with clinical, histological, and genetic features. Cluster F was largely composed of cases with fetal histology and good outcomes, whereas clusters E1 and E2 corresponded primarily to embryonal/combined histology and poor outcomes. E1 and E2, albeit distinguishable by different patient age distributions, were genetically characterized by hypermethylation of the HNF4A/CEBPA-binding regions, fetal liver-like expression patterns, upregulation of the cell cycle pathway, and overexpression of
Identifiants
pubmed: 32656360
doi: 10.1038/s41698-020-0125-y
pii: 125
pmc: PMC7341754
doi:
Types de publication
Journal Article
Langues
eng
Pagination
20Informations de copyright
© The Author(s) 2020.
Déclaration de conflit d'intérêts
Competing interestsThe authors declare no competing interests.
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