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Molecular-Clinical Correlation in Pediatric Medulloblastoma: A Cohort Series Study of 52 Cases in Taiwan.

Authors :
Wu KS
Ho DM
Jou ST
Yu AL
Tran HM
Liang ML
Chen HH
Lee YY
Chen YW
Lin SC
Chang FC
Tsai ML
Liu YL
Lee HL
Hsieh KL
Huang WC
Sung SY
Chang CC
Changou CA
Liang KH
Hsieh TH
Liu YR
Chao ME
Chen W
Chu SS
Cho EC
Wong TT
Source :
Cancers [Cancers (Basel)] 2020 Mar 11; Vol. 12 (3). Date of Electronic Publication: 2020 Mar 11.
Publication Year :
2020

Abstract

In 2016, a project was initiated in Taiwan to adopt molecular diagnosis of childhood medulloblastoma (MB). In this study, we aimed to identify a molecular-clinical correlation and somatic mutation for exploring risk-adapted treatment, drug targets, and potential genetic predisposition. In total, 52 frozen tumor tissues of childhood MBs were collected. RNA sequencing (RNA-Seq) and DNA methylation array data were generated. Molecular subgrouping and clinical correlation analysis were performed. An adjusted Heidelberg risk stratification scheme was defined for updated clinical risk stratification. We selected 51 genes for somatic variant calling using RNA-Seq data. Relevant clinical findings were defined. Potential drug targets and genetic predispositions were explored. Four core molecular subgroups (WNT, SHH, Group 3, and Group 4) were identified. Genetic backgrounds of metastasis at diagnosis and extent of tumor resection were observed. The adjusted Heidelberg scheme showed its applicability. Potential drug targets were detected in the pathways of DNA damage response. Among the 10 patients with SHH MBs analyzed using whole exome sequencing studies, five patients exhibited potential genetic predispositions and four patients had relevant germline mutations. The findings of this study provide valuable information for updated risk adapted treatment and personalized care of childhood MBs in our cohort series and in Taiwan.<br />Competing Interests: The authors declare no conflict of interest.

Details

Language :
English
ISSN :
2072-6694
Volume :
12
Issue :
3
Database :
MEDLINE
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
32168907
Full Text :
https://doi.org/10.3390/cancers12030653