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Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer
In patients with metastatic cancer, spatial heterogeneity of somatic alterations may lead to incomplete assessment of a cancer’s mutational profile when analyzing a single tumor biopsy. In this study, we perform sequencing of cell-free DNA (cfDNA) and distinct metastatic tissue samples from ten rapi...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160338/ https://www.ncbi.nlm.nih.gov/pubmed/34045463 http://dx.doi.org/10.1038/s41467-021-23394-4 |
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author | Pereira, Bernard Chen, Christopher T. Goyal, Lipika Walmsley, Charlotte Pinto, Christopher J. Baiev, Islam Allen, Read Henderson, Laura Saha, Supriya Reyes, Stephanie Taylor, Martin S. Fitzgerald, Donna M. Broudo, Maida Williams Sahu, Avinash Gao, Xin Winckler, Wendy Brannon, A. Rose Engelman, Jeffrey A. Leary, Rebecca Stone, James R. Campbell, Catarina D. Juric, Dejan |
author_facet | Pereira, Bernard Chen, Christopher T. Goyal, Lipika Walmsley, Charlotte Pinto, Christopher J. Baiev, Islam Allen, Read Henderson, Laura Saha, Supriya Reyes, Stephanie Taylor, Martin S. Fitzgerald, Donna M. Broudo, Maida Williams Sahu, Avinash Gao, Xin Winckler, Wendy Brannon, A. Rose Engelman, Jeffrey A. Leary, Rebecca Stone, James R. Campbell, Catarina D. Juric, Dejan |
author_sort | Pereira, Bernard |
collection | PubMed |
description | In patients with metastatic cancer, spatial heterogeneity of somatic alterations may lead to incomplete assessment of a cancer’s mutational profile when analyzing a single tumor biopsy. In this study, we perform sequencing of cell-free DNA (cfDNA) and distinct metastatic tissue samples from ten rapid autopsy cases with pre-treated metastatic cancer. We show that levels of heterogeneity in genetic biomarkers vary between patients but that gene expression signatures representative of the tumor microenvironment are more consistent. Across nine patients with plasma samples available, we are able to detect 62/62 truncal and 47/121 non-truncal point mutations in cfDNA. We observe that mutation clonality in cfDNA is correlated with the number of metastatic lesions in which the mutation is detected and use this result to derive a clonality threshold to classify truncal and non-truncal driver alterations with reasonable specificity. In contrast, mutation truncality is more often incorrectly assigned when studying single tissue samples. Our results demonstrate the utility of a single cfDNA sample relative to that of single tissue samples when treating patients with metastatic cancer. |
format | Online Article Text |
id | pubmed-8160338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81603382021-06-11 Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer Pereira, Bernard Chen, Christopher T. Goyal, Lipika Walmsley, Charlotte Pinto, Christopher J. Baiev, Islam Allen, Read Henderson, Laura Saha, Supriya Reyes, Stephanie Taylor, Martin S. Fitzgerald, Donna M. Broudo, Maida Williams Sahu, Avinash Gao, Xin Winckler, Wendy Brannon, A. Rose Engelman, Jeffrey A. Leary, Rebecca Stone, James R. Campbell, Catarina D. Juric, Dejan Nat Commun Article In patients with metastatic cancer, spatial heterogeneity of somatic alterations may lead to incomplete assessment of a cancer’s mutational profile when analyzing a single tumor biopsy. In this study, we perform sequencing of cell-free DNA (cfDNA) and distinct metastatic tissue samples from ten rapid autopsy cases with pre-treated metastatic cancer. We show that levels of heterogeneity in genetic biomarkers vary between patients but that gene expression signatures representative of the tumor microenvironment are more consistent. Across nine patients with plasma samples available, we are able to detect 62/62 truncal and 47/121 non-truncal point mutations in cfDNA. We observe that mutation clonality in cfDNA is correlated with the number of metastatic lesions in which the mutation is detected and use this result to derive a clonality threshold to classify truncal and non-truncal driver alterations with reasonable specificity. In contrast, mutation truncality is more often incorrectly assigned when studying single tissue samples. Our results demonstrate the utility of a single cfDNA sample relative to that of single tissue samples when treating patients with metastatic cancer. Nature Publishing Group UK 2021-05-27 /pmc/articles/PMC8160338/ /pubmed/34045463 http://dx.doi.org/10.1038/s41467-021-23394-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Pereira, Bernard Chen, Christopher T. Goyal, Lipika Walmsley, Charlotte Pinto, Christopher J. Baiev, Islam Allen, Read Henderson, Laura Saha, Supriya Reyes, Stephanie Taylor, Martin S. Fitzgerald, Donna M. Broudo, Maida Williams Sahu, Avinash Gao, Xin Winckler, Wendy Brannon, A. Rose Engelman, Jeffrey A. Leary, Rebecca Stone, James R. Campbell, Catarina D. Juric, Dejan Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer |
title | Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer |
title_full | Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer |
title_fullStr | Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer |
title_full_unstemmed | Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer |
title_short | Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer |
title_sort | cell-free dna captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160338/ https://www.ncbi.nlm.nih.gov/pubmed/34045463 http://dx.doi.org/10.1038/s41467-021-23394-4 |
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