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Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients
PURPOSE: There is growing interest in the application of circulating tumour DNA (ctDNA) as a sensitive tool for monitoring tumour evolution and guiding targeted therapy in patients with cancer. However, robust comparisons of different platform technologies are still required. Here we compared the In...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260509/ https://www.ncbi.nlm.nih.gov/pubmed/34097174 http://dx.doi.org/10.1007/s10549-021-06220-9 |
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author | Nteliopoulos, Georgios Page, Karen Hills, Allison Howarth, Karen Emmett, Warren Green, Emma Martinson, Luke J. Fernadez-Garcia, Daniel Hastings, Robert Guttery, David S. Kenny, Laura Stebbing, Justin Cleator, Susan Rehman, Farah Gleason, Kelly L. T. Sanela, Andrijac Ion, Charlotte Rushton, Amelia J. Rosenfeld, Nitzan Coombes, R. Charles Shaw, Jacqueline A. |
author_facet | Nteliopoulos, Georgios Page, Karen Hills, Allison Howarth, Karen Emmett, Warren Green, Emma Martinson, Luke J. Fernadez-Garcia, Daniel Hastings, Robert Guttery, David S. Kenny, Laura Stebbing, Justin Cleator, Susan Rehman, Farah Gleason, Kelly L. T. Sanela, Andrijac Ion, Charlotte Rushton, Amelia J. Rosenfeld, Nitzan Coombes, R. Charles Shaw, Jacqueline A. |
author_sort | Nteliopoulos, Georgios |
collection | PubMed |
description | PURPOSE: There is growing interest in the application of circulating tumour DNA (ctDNA) as a sensitive tool for monitoring tumour evolution and guiding targeted therapy in patients with cancer. However, robust comparisons of different platform technologies are still required. Here we compared the InVisionSeq™ ctDNA Assay with the Oncomine™ Breast cfDNA Assay to assess their concordance and feasibility for the detection of mutations in plasma at low (< 0.5%) variant allele fraction (VAF). METHODS: Ninety-six plasma samples from 50 patients with estrogen receptor (ER)-positive metastatic breast cancer (mBC) were profiled using the InVision Assay. Results were compared to the Oncomine assay in 30 samples from 26 patients, where there was sufficient material and variants were covered by both assays. Longitudinal samples were analysed for 8 patients with endocrine resistance. RESULTS: We detected alterations in 59/96 samples from 34/50 patients analysed with the InVision assay, most frequently affecting ESR1, PIK3CA and TP53. Complete or partial concordance was found in 28/30 samples analysed by both assays, and VAF values were highly correlated. Excellent concordance was found for most genes, and most discordant calls occurred at VAF < 1%. In longitudinal samples from progressing patients with endocrine resistance, we detected consistent alterations in sequential samples, most commonly in ESR1 and PIK3CA. CONCLUSION: This study shows that both ultra-deep next-generation sequencing (NGS) technologies can detect genomic alternations even at low VAFs in plasma samples of mBC patients. The strong agreement of the technologies indicates sufficient reproducibility for clinical use as prognosic and predictive biomarker. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-021-06220-9. |
format | Online Article Text |
id | pubmed-8260509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-82605092021-07-20 Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients Nteliopoulos, Georgios Page, Karen Hills, Allison Howarth, Karen Emmett, Warren Green, Emma Martinson, Luke J. Fernadez-Garcia, Daniel Hastings, Robert Guttery, David S. Kenny, Laura Stebbing, Justin Cleator, Susan Rehman, Farah Gleason, Kelly L. T. Sanela, Andrijac Ion, Charlotte Rushton, Amelia J. Rosenfeld, Nitzan Coombes, R. Charles Shaw, Jacqueline A. Breast Cancer Res Treat Clinical Trial PURPOSE: There is growing interest in the application of circulating tumour DNA (ctDNA) as a sensitive tool for monitoring tumour evolution and guiding targeted therapy in patients with cancer. However, robust comparisons of different platform technologies are still required. Here we compared the InVisionSeq™ ctDNA Assay with the Oncomine™ Breast cfDNA Assay to assess their concordance and feasibility for the detection of mutations in plasma at low (< 0.5%) variant allele fraction (VAF). METHODS: Ninety-six plasma samples from 50 patients with estrogen receptor (ER)-positive metastatic breast cancer (mBC) were profiled using the InVision Assay. Results were compared to the Oncomine assay in 30 samples from 26 patients, where there was sufficient material and variants were covered by both assays. Longitudinal samples were analysed for 8 patients with endocrine resistance. RESULTS: We detected alterations in 59/96 samples from 34/50 patients analysed with the InVision assay, most frequently affecting ESR1, PIK3CA and TP53. Complete or partial concordance was found in 28/30 samples analysed by both assays, and VAF values were highly correlated. Excellent concordance was found for most genes, and most discordant calls occurred at VAF < 1%. In longitudinal samples from progressing patients with endocrine resistance, we detected consistent alterations in sequential samples, most commonly in ESR1 and PIK3CA. CONCLUSION: This study shows that both ultra-deep next-generation sequencing (NGS) technologies can detect genomic alternations even at low VAFs in plasma samples of mBC patients. The strong agreement of the technologies indicates sufficient reproducibility for clinical use as prognosic and predictive biomarker. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-021-06220-9. Springer US 2021-06-07 2021 /pmc/articles/PMC8260509/ /pubmed/34097174 http://dx.doi.org/10.1007/s10549-021-06220-9 Text en © The Author(s) 2021 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/) . |
spellingShingle | Clinical Trial Nteliopoulos, Georgios Page, Karen Hills, Allison Howarth, Karen Emmett, Warren Green, Emma Martinson, Luke J. Fernadez-Garcia, Daniel Hastings, Robert Guttery, David S. Kenny, Laura Stebbing, Justin Cleator, Susan Rehman, Farah Gleason, Kelly L. T. Sanela, Andrijac Ion, Charlotte Rushton, Amelia J. Rosenfeld, Nitzan Coombes, R. Charles Shaw, Jacqueline A. Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients |
title | Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients |
title_full | Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients |
title_fullStr | Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients |
title_full_unstemmed | Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients |
title_short | Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients |
title_sort | comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour dna in endocrine-therapy-resistant breast cancer patients |
topic | Clinical Trial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260509/ https://www.ncbi.nlm.nih.gov/pubmed/34097174 http://dx.doi.org/10.1007/s10549-021-06220-9 |
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