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Clinical Relevance of Genomic Changes in Recurrent Pediatric Solid Tumors.

Authors :
Lee B
Lee JW
Shim JH
Joung JG
Yun JW
Bae JS
Shin HT
Sung KW
Park WY
Source :
Translational oncology [Transl Oncol] 2018 Dec; Vol. 11 (6), pp. 1390-1397. Date of Electronic Publication: 2018 Sep 11.
Publication Year :
2018

Abstract

Purpose: Relapsed/refractory pediatric cancers show poor prognosis; however, their genomic patterns remain unknown. To investigate the genetic mechanisms of tumor relapse and therapy resistance, we characterized genomic alterations in diagnostic and relapsed lesions in patients with relapsed/refractory pediatric solid tumors using targeted deep sequencing.<br />Patients and Methods: A targeted sequencing panel covering the exons of 381 cancer genes was used to characterize 19 paired diagnostic and relapsed samples from patients with relapsed/refractory pediatric solid tumors.<br />Results: The mean coverage for all samples was 930.6× (SD = 213.8). Among the 381 genes, 173 single nucleotide variations (SNVs)/insertion-deletions (InDels), 100 copy number alterations, and 1 structural variation were detected. A total of 72.6% of SNVs in primary tumors were also found in recurrent lesions, and 27.2% of SNVs in recurrent tumors had newly occurred. Among SNVs/InDels detected only in recurrent lesions, 71% had a low variant allele fraction (<10%). Patients were classified into three categories based on the mutation patterns after cancer treatment. A significant association between the major mutation patterns and clinical outcome was observed. Patients whose relapsed tumor had fewer mutations than the diagnostic sample tended to be older, had longer progression-free survival, and achieved complete remission after relapse. Contrastingly, patients whose genetic profile only had concordant mutations without any change had the worst outcome.<br />Conclusions: We characterized genomic changes in recurrent pediatric solid tumors. These findings could help to understand the biology of relapsed childhood cancer and to develop personalized treatment based on their genetic profile.<br /> (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1936-5233
Volume :
11
Issue :
6
Database :
MEDLINE
Journal :
Translational oncology
Publication Type :
Academic Journal
Accession number :
30216764
Full Text :
https://doi.org/10.1016/j.tranon.2018.08.013