Back to Search Start Over

Integrated diagnosis based on transcriptome analysis in suspected pediatric sarcomas

Authors :
Daisuke Ichikawa
Kyoko Yamashita
Yusuke Okuno
Hideki Muramatsu
Norihiro Murakami
Kyogo Suzuki
Daiei Kojima
Shinsuke Kataoka
Motoharu Hamada
Rieko Taniguchi
Eri Nishikawa
Nozomu Kawashima
Atsushi Narita
Nobuhiro Nishio
Asahito Hama
Kenji Kasai
Seiji Mizuno
Yoshie Shimoyama
Masato Nakaguro
Hajime Okita
Seiji Kojima
Atsuko Nakazawa
Yoshiyuki Takahashi
Source :
npj Genomic Medicine, Vol 6, Iss 1, Pp 1-10 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Abstract Pediatric solid tumors are a heterogeneous group of neoplasms with over 100 subtypes. Clinical and histopathological diagnosis remains challenging due to the overlapping morphological and immunohistochemical findings and the presence of atypical cases. To evaluate the potential utility of including RNA-sequencing (RNA-seq) in the diagnostic process, we performed RNA-seq in 47 patients with suspected pediatric sarcomas. Histopathologists specialized in pediatric cancer re-evaluated pathological specimens to reach a consensus diagnosis; 42 patients were diagnosed with known subtypes of solid tumors whereas 5 patients were diagnosed with undifferentiated sarcoma. RNA-seq analysis confirmed and refined consensus diagnoses and further identified diagnostic genetic variants in four of the five patients with undifferentiated sarcoma. Genetic lesions were detected in 23 patients, including the novel SMARCA4-THOP1 fusion gene and 22 conventional or recently reported genetic events. Unsupervised clustering analysis of the RNA-seq data identified a distinct cluster defined by the overexpression of rhabdomyosarcoma-associated genes including MYOG and CHRNG. These findings suggest that RNA-seq-based genetic analysis may aid in the diagnosis of suspected pediatric sarcomas, which would be useful for the development of stratified treatment strategies.

Subjects

Subjects :
Medicine
Genetics
QH426-470

Details

Language :
English
ISSN :
20567944
Volume :
6
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Genomic Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.29a8e03506ee4c179df83a3260a0ed05
Document Type :
article
Full Text :
https://doi.org/10.1038/s41525-021-00210-y