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Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ
Serial monitoring of plasma DNA mutations in estrogen receptor positive metastatic breast cancer (ER + MBC) holds promise as an early predictor of therapeutic response. Here, we developed dPCR-SEQ, a customized assay that utilizes digital PCR-based target enrichment followed by next-generation seque...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281679/ https://www.ncbi.nlm.nih.gov/pubmed/30534596 http://dx.doi.org/10.1038/s41523-018-0093-3 |
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author | Kumar, Sunil Lindsay, Daniel Chen, Q. Brent Garrett, Amy L. Tan, Xianming M. Anders, Carey K. Carey, Lisa A. Gupta, Gaorav P. |
author_facet | Kumar, Sunil Lindsay, Daniel Chen, Q. Brent Garrett, Amy L. Tan, Xianming M. Anders, Carey K. Carey, Lisa A. Gupta, Gaorav P. |
author_sort | Kumar, Sunil |
collection | PubMed |
description | Serial monitoring of plasma DNA mutations in estrogen receptor positive metastatic breast cancer (ER + MBC) holds promise as an early predictor of therapeutic response. Here, we developed dPCR-SEQ, a customized assay that utilizes digital PCR-based target enrichment followed by next-generation sequencing to analyze plasma DNA mutations in ESR1, PIK3CA, and TP53. We validated dPCR-SEQ in a prospective cohort of 58 patients with ER + MBC and demonstrate excellent concordance with hotspot ESR1 mutation abundance measured by conventional digital PCR. The dPCR-SEQ assay revealed ESR1, PIK3CA, and TP53 plasma ctDNA mutations in 55%, 32%, and 32% of the study patients, respectively. We also observed dynamic changes in ESR1, PIK3CA, and TP53 ctDNA mutant allele fraction (MAF) that were frequently discordant between the different genes. Thus, monitoring plasma DNA mutation dynamics using a dPCR-SEQ assay is feasible, accurate, and may be investigated as a biomarker of therapeutic response in ER + MBC. |
format | Online Article Text |
id | pubmed-6281679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62816792018-12-10 Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ Kumar, Sunil Lindsay, Daniel Chen, Q. Brent Garrett, Amy L. Tan, Xianming M. Anders, Carey K. Carey, Lisa A. Gupta, Gaorav P. NPJ Breast Cancer Article Serial monitoring of plasma DNA mutations in estrogen receptor positive metastatic breast cancer (ER + MBC) holds promise as an early predictor of therapeutic response. Here, we developed dPCR-SEQ, a customized assay that utilizes digital PCR-based target enrichment followed by next-generation sequencing to analyze plasma DNA mutations in ESR1, PIK3CA, and TP53. We validated dPCR-SEQ in a prospective cohort of 58 patients with ER + MBC and demonstrate excellent concordance with hotspot ESR1 mutation abundance measured by conventional digital PCR. The dPCR-SEQ assay revealed ESR1, PIK3CA, and TP53 plasma ctDNA mutations in 55%, 32%, and 32% of the study patients, respectively. We also observed dynamic changes in ESR1, PIK3CA, and TP53 ctDNA mutant allele fraction (MAF) that were frequently discordant between the different genes. Thus, monitoring plasma DNA mutation dynamics using a dPCR-SEQ assay is feasible, accurate, and may be investigated as a biomarker of therapeutic response in ER + MBC. Nature Publishing Group UK 2018-12-05 /pmc/articles/PMC6281679/ /pubmed/30534596 http://dx.doi.org/10.1038/s41523-018-0093-3 Text en © The Author(s) 2018 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/. |
spellingShingle | Article Kumar, Sunil Lindsay, Daniel Chen, Q. Brent Garrett, Amy L. Tan, Xianming M. Anders, Carey K. Carey, Lisa A. Gupta, Gaorav P. Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ |
title | Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ |
title_full | Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ |
title_fullStr | Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ |
title_full_unstemmed | Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ |
title_short | Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ |
title_sort | tracking plasma dna mutation dynamics in estrogen receptor positive metastatic breast cancer with dpcr-seq |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281679/ https://www.ncbi.nlm.nih.gov/pubmed/30534596 http://dx.doi.org/10.1038/s41523-018-0093-3 |
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