2021
DOI: 10.3390/cells10102695
|View full text |Cite
|
Sign up to set email alerts
|

Integrated CGH/WES Analyses Advance Understanding of Aggressive Neuroblastoma Evolution: A Case Study

Abstract: Neuroblastoma (NB) is the most common extra-cranial malignancy in preschool children. To portray the genetic landscape of an overly aggressive NB leading to a rapid clinical progression of the disease, tumor DNA collected pre- and post-treatment has been analyzed. Array comparative genomic hybridization (aCGH), whole-exome sequencing (WES), and pharmacogenetics approaches, respectively, have identified relevant copy number alterations (CNAs), single nucleotide variants (SNVs), and polymorphisms (SNPs) that wer… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 30 publications
0
1
0
Order By: Relevance
“…To our best knowledge, this is the first CNVs analysis performed in Chinese MRKH syndrome based on aCGH. Despite a lot of algorithms have been developed to detect CNVs from sequencing data, high resolution version of aCGH is still an appropriate methodology for the analysis of chromosome aberrations in a cohort (Corallo et al, 2021; Retterer et al, 2015). The application of whole‐exome sequencing (WES) surely reduced related costs of sequencing while there is also deficiency considering the restricted detection in exomic space and the data processing itself (Rapti et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…To our best knowledge, this is the first CNVs analysis performed in Chinese MRKH syndrome based on aCGH. Despite a lot of algorithms have been developed to detect CNVs from sequencing data, high resolution version of aCGH is still an appropriate methodology for the analysis of chromosome aberrations in a cohort (Corallo et al, 2021; Retterer et al, 2015). The application of whole‐exome sequencing (WES) surely reduced related costs of sequencing while there is also deficiency considering the restricted detection in exomic space and the data processing itself (Rapti et al, 2022).…”
Section: Discussionmentioning
confidence: 99%