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Evaluating statistical approaches to define clonal origin of tumours using bulk DNA sequencing: context is everything

Clonal analysis of tumour sequencing data enables the evaluation of the relationship of histologically distinct synchronous lesions, such as co-existing benign areas, and temporally distinct tumours, such as primary-recurrence comparisons. In this review, we summarise statistical approaches that are...

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Autores principales: Kader, Tanjina, Zethoven, Magnus, Gorringe, Kylie L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809045/
https://www.ncbi.nlm.nih.gov/pubmed/35109903
http://dx.doi.org/10.1186/s13059-022-02600-6
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author Kader, Tanjina
Zethoven, Magnus
Gorringe, Kylie L.
author_facet Kader, Tanjina
Zethoven, Magnus
Gorringe, Kylie L.
author_sort Kader, Tanjina
collection PubMed
description Clonal analysis of tumour sequencing data enables the evaluation of the relationship of histologically distinct synchronous lesions, such as co-existing benign areas, and temporally distinct tumours, such as primary-recurrence comparisons. In this review, we summarise statistical approaches that are commonly employed to define tumour clonal relatedness using data from bulk DNA technologies. We discuss approaches using total copy number, allele-specific copy number and mutation data, and the relative genomic resolution required for analysis and summarise some of the current tools for inferring clonal relationships. We argue that the impact of the biological context is critical in selecting any particular approach, such as the relative genomic complexity of the lesions being compared, and we recommend considering this context before employing any method to a new dataset. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02600-6.
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spelling pubmed-88090452022-02-03 Evaluating statistical approaches to define clonal origin of tumours using bulk DNA sequencing: context is everything Kader, Tanjina Zethoven, Magnus Gorringe, Kylie L. Genome Biol Review Clonal analysis of tumour sequencing data enables the evaluation of the relationship of histologically distinct synchronous lesions, such as co-existing benign areas, and temporally distinct tumours, such as primary-recurrence comparisons. In this review, we summarise statistical approaches that are commonly employed to define tumour clonal relatedness using data from bulk DNA technologies. We discuss approaches using total copy number, allele-specific copy number and mutation data, and the relative genomic resolution required for analysis and summarise some of the current tools for inferring clonal relationships. We argue that the impact of the biological context is critical in selecting any particular approach, such as the relative genomic complexity of the lesions being compared, and we recommend considering this context before employing any method to a new dataset. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02600-6. BioMed Central 2022-02-02 /pmc/articles/PMC8809045/ /pubmed/35109903 http://dx.doi.org/10.1186/s13059-022-02600-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Kader, Tanjina
Zethoven, Magnus
Gorringe, Kylie L.
Evaluating statistical approaches to define clonal origin of tumours using bulk DNA sequencing: context is everything
title Evaluating statistical approaches to define clonal origin of tumours using bulk DNA sequencing: context is everything
title_full Evaluating statistical approaches to define clonal origin of tumours using bulk DNA sequencing: context is everything
title_fullStr Evaluating statistical approaches to define clonal origin of tumours using bulk DNA sequencing: context is everything
title_full_unstemmed Evaluating statistical approaches to define clonal origin of tumours using bulk DNA sequencing: context is everything
title_short Evaluating statistical approaches to define clonal origin of tumours using bulk DNA sequencing: context is everything
title_sort evaluating statistical approaches to define clonal origin of tumours using bulk dna sequencing: context is everything
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809045/
https://www.ncbi.nlm.nih.gov/pubmed/35109903
http://dx.doi.org/10.1186/s13059-022-02600-6
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