Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
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
_version_ 1783718821697159168
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
work_keys_str_mv AT nteliopoulosgeorgios comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT pagekaren comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT hillsallison comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT howarthkaren comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT emmettwarren comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT greenemma comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT martinsonlukej comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT fernadezgarciadaniel comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT hastingsrobert comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT gutterydavids comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT kennylaura comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT stebbingjustin comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT cleatorsusan comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT rehmanfarah comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT gleasonkellylt comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT sanelaandrijac comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT ioncharlotte comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT rushtonameliaj comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT rosenfeldnitzan comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT coombesrcharles comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients
AT shawjacquelinea comparisonoftwotargetedultradeepsequencingtechnologiesforanalysisofplasmacirculatingtumourdnainendocrinetherapyresistantbreastcancerpatients