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Completing a genomic characterisation of microscopic tumour samples with copy number

Authors :
Joel Nulsen
Nosheen Hussain
Aws Al-Deka
Jason Yap
Khalil Uddin
Christopher Yau
Ahmed Ashour Ahmed
Source :
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-17 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background Genomic insights in settings where tumour sample sizes are limited to just hundreds or even tens of cells hold great clinical potential, but also present significant technical challenges. We previously developed the DigiPico sequencing platform to accurately identify somatic mutations from such samples. Results Here, we complete this genomic characterisation with copy number. We present a novel protocol, PicoCNV, to call allele-specific somatic copy number alterations from picogram quantities of tumour DNA. We find that PicoCNV provides exactly accurate copy number in 84% of the genome for even the smallest samples, and demonstrate its clinical potential in maintenance therapy. Conclusions PicoCNV complements our existing platform, allowing for accurate and comprehensive genomic characterisations of cancers in settings where only microscopic samples are available.

Details

Language :
English
ISSN :
14712105
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.1b03ef623f74a5faaf236a7f568ea75
Document Type :
article
Full Text :
https://doi.org/10.1186/s12859-023-05576-7