Cargando…
Clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients
BACKGROUND: Clinical-grade whole-genome sequencing (cWGS) has the potential to become the standard of care within the clinic because of its breadth of coverage and lack of bias towards certain regions of the genome. Colorectal cancer presents a difficult treatment paradigm, with over 40% of patients...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908713/ https://www.ncbi.nlm.nih.gov/pubmed/33632293 http://dx.doi.org/10.1186/s13073-021-00852-8 |
_version_ | 1783655775973933056 |
---|---|
author | Stodolna, Agata He, Miao Vasipalli, Mahesh Kingsbury, Zoya Becq, Jennifer Stockton, Joanne D. Dilworth, Mark P. James, Jonathan Sillo, Toju Blakeway, Daniel Ward, Stephen T. Ismail, Tariq Ross, Mark T. Beggs, Andrew D. |
author_facet | Stodolna, Agata He, Miao Vasipalli, Mahesh Kingsbury, Zoya Becq, Jennifer Stockton, Joanne D. Dilworth, Mark P. James, Jonathan Sillo, Toju Blakeway, Daniel Ward, Stephen T. Ismail, Tariq Ross, Mark T. Beggs, Andrew D. |
author_sort | Stodolna, Agata |
collection | PubMed |
description | BACKGROUND: Clinical-grade whole-genome sequencing (cWGS) has the potential to become the standard of care within the clinic because of its breadth of coverage and lack of bias towards certain regions of the genome. Colorectal cancer presents a difficult treatment paradigm, with over 40% of patients presenting at diagnosis with metastatic disease. We hypothesised that cWGS coupled with 3′ transcriptome analysis would give new insights into colorectal cancer. METHODS: Patients underwent PCR-free whole-genome sequencing and alignment and variant calling using a standardised pipeline to output SNVs, indels, SVs and CNAs. Additional insights into the mutational signatures and tumour biology were gained by the use of 3′ RNA-seq. RESULTS: Fifty-four patients were studied in total. Driver analysis identified the Wnt pathway gene APC as the only consistently mutated driver in colorectal cancer. Alterations in the PI3K/mTOR pathways were seen as previously observed in CRC. Multiple private CNAs, SVs and gene fusions were unique to individual tumours. Approximately 30% of patients had a tumour mutational burden of > 10 mutations/Mb of DNA, suggesting suitability for immunotherapy. CONCLUSIONS: Clinical whole-genome sequencing offers a potential avenue for the identification of private genomic variation that may confer sensitivity to targeted agents and offer patients new options for targeted therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00852-8. |
format | Online Article Text |
id | pubmed-7908713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79087132021-02-26 Clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients Stodolna, Agata He, Miao Vasipalli, Mahesh Kingsbury, Zoya Becq, Jennifer Stockton, Joanne D. Dilworth, Mark P. James, Jonathan Sillo, Toju Blakeway, Daniel Ward, Stephen T. Ismail, Tariq Ross, Mark T. Beggs, Andrew D. Genome Med Research BACKGROUND: Clinical-grade whole-genome sequencing (cWGS) has the potential to become the standard of care within the clinic because of its breadth of coverage and lack of bias towards certain regions of the genome. Colorectal cancer presents a difficult treatment paradigm, with over 40% of patients presenting at diagnosis with metastatic disease. We hypothesised that cWGS coupled with 3′ transcriptome analysis would give new insights into colorectal cancer. METHODS: Patients underwent PCR-free whole-genome sequencing and alignment and variant calling using a standardised pipeline to output SNVs, indels, SVs and CNAs. Additional insights into the mutational signatures and tumour biology were gained by the use of 3′ RNA-seq. RESULTS: Fifty-four patients were studied in total. Driver analysis identified the Wnt pathway gene APC as the only consistently mutated driver in colorectal cancer. Alterations in the PI3K/mTOR pathways were seen as previously observed in CRC. Multiple private CNAs, SVs and gene fusions were unique to individual tumours. Approximately 30% of patients had a tumour mutational burden of > 10 mutations/Mb of DNA, suggesting suitability for immunotherapy. CONCLUSIONS: Clinical whole-genome sequencing offers a potential avenue for the identification of private genomic variation that may confer sensitivity to targeted agents and offer patients new options for targeted therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00852-8. BioMed Central 2021-02-25 /pmc/articles/PMC7908713/ /pubmed/33632293 http://dx.doi.org/10.1186/s13073-021-00852-8 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Research Stodolna, Agata He, Miao Vasipalli, Mahesh Kingsbury, Zoya Becq, Jennifer Stockton, Joanne D. Dilworth, Mark P. James, Jonathan Sillo, Toju Blakeway, Daniel Ward, Stephen T. Ismail, Tariq Ross, Mark T. Beggs, Andrew D. Clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients |
title | Clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients |
title_full | Clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients |
title_fullStr | Clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients |
title_full_unstemmed | Clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients |
title_short | Clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients |
title_sort | clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908713/ https://www.ncbi.nlm.nih.gov/pubmed/33632293 http://dx.doi.org/10.1186/s13073-021-00852-8 |
work_keys_str_mv | AT stodolnaagata clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT hemiao clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT vasipallimahesh clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT kingsburyzoya clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT becqjennifer clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT stocktonjoanned clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT dilworthmarkp clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT jamesjonathan clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT sillotoju clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT blakewaydaniel clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT wardstephent clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT ismailtariq clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT rossmarkt clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients AT beggsandrewd clinicalgradewholegenomesequencingand3transcriptomeanalysisofcolorectalcancerpatients |