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

Authors :
Kuo-Sheng Wu
Donald Ming-Tak Ho
Shiann-Tarng Jou
Alice L. Yu
Huy Minh Tran
Muh-Lii Liang
Hsin-Hung Chen
Yi-Yen Lee
Yi-Wei Chen
Shih-Chieh Lin
Feng-Chi Chang
Min-Lan Tsai
Yen-Lin Liu
Hsin-Lun Lee
Kevin Li-Chun Hsieh
Wen-Chang Huang
Shian-Ying Sung
Che-Chang Chang
Chun Austin Changou
Kung-Hao Liang
Tsung-Han Hsieh
Yun-Ru Liu
Meng-En Chao
Wan Chen
Shing-Shung Chu
Er-Chieh Cho
Tai-Tong Wong
Source :
Cancers, Vol 12, Iss 3, p 653 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 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.

Details

Language :
English
ISSN :
20726694
Volume :
12
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
edsdoj.7ec116e1fdc3417784ea52fc0bcaff69
Document Type :
article
Full Text :
https://doi.org/10.3390/cancers12030653