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Integrative statistical analyses of multiple liquid biopsy analytes in metastatic breast cancer
BACKGROUND: Single liquid biopsy analytes (LBAs) have been utilized for therapy selection in metastatic breast cancer (MBC). We performed integrative statistical analyses to examine the clinical relevance of using multiple LBAs: matched circulating tumor cell (CTC) mRNA, CTC genomic DNA (gDNA), extr...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130163/ https://www.ncbi.nlm.nih.gov/pubmed/34001236 http://dx.doi.org/10.1186/s13073-021-00902-1 |
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author | Keup, Corinna Suryaprakash, Vinay Hauch, Siegfried Storbeck, Markus Hahn, Peter Sprenger-Haussels, Markus Kolberg, Hans-Christian Tewes, Mitra Hoffmann, Oliver Kimmig, Rainer Kasimir-Bauer, Sabine |
author_facet | Keup, Corinna Suryaprakash, Vinay Hauch, Siegfried Storbeck, Markus Hahn, Peter Sprenger-Haussels, Markus Kolberg, Hans-Christian Tewes, Mitra Hoffmann, Oliver Kimmig, Rainer Kasimir-Bauer, Sabine |
author_sort | Keup, Corinna |
collection | PubMed |
description | BACKGROUND: Single liquid biopsy analytes (LBAs) have been utilized for therapy selection in metastatic breast cancer (MBC). We performed integrative statistical analyses to examine the clinical relevance of using multiple LBAs: matched circulating tumor cell (CTC) mRNA, CTC genomic DNA (gDNA), extracellular vesicle (EV) mRNA, and cell-free DNA (cfDNA). METHODS: Blood was drawn from 26 hormone receptor-positive, HER2-negative MBC patients. CTC mRNA and EV mRNA were analyzed using a multi-marker qPCR. Plasma from CTC-depleted blood was utilized for cfDNA isolation. gDNA from CTCs was isolated from mRNA-depleted CTC lysates. CTC gDNA and cfDNA were analyzed by targeted sequencing. Hierarchical clustering was performed within each analyte, and its results were combined into a score termed Evaluation of multiple Liquid biopsy analytes In Metastatic breast cancer patients All from one blood sample (ELIMA.score), which calculates the contribution of each analyte to the overall survival prediction. Singular value decomposition (SVD), mutual information calculation, k-means clustering, and graph-theoretic analysis were conducted to elucidate the dependence between individual analytes. RESULTS: A combination of two/three/four LBAs increased the prevalence of patients with actionable signals. Aggregating the results of hierarchical clustering of individual LBAs into the ELIMA.score resulted in a highly significant correlation with overall survival, thereby bolstering evidence for the additive value of using multiple LBAs. Computation of mutual information indicated that none of the LBAs is independent of the others, but the ability of a single LBA to describe the others is rather limited—only CTC gDNA could partially describe the other three LBAs. SVD revealed that the strongest singular vectors originate from all four LBAs, but a majority originated from CTC gDNA. After k-means clustering of patients based on parameters of all four LBAs, the graph-theoretic analysis revealed CTC ERBB2 variants only in patients belonging to one particular cluster. CONCLUSIONS: The additional benefits of using all four LBAs were objectively demonstrated in this pilot study, which also indicated a relative dominance of CTC gDNA over the other LBAs. Consequently, a multi-parametric liquid biopsy approach deconvolutes the genomic and transcriptomic complexity and should be considered in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00902-1. |
format | Online Article Text |
id | pubmed-8130163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81301632021-05-18 Integrative statistical analyses of multiple liquid biopsy analytes in metastatic breast cancer Keup, Corinna Suryaprakash, Vinay Hauch, Siegfried Storbeck, Markus Hahn, Peter Sprenger-Haussels, Markus Kolberg, Hans-Christian Tewes, Mitra Hoffmann, Oliver Kimmig, Rainer Kasimir-Bauer, Sabine Genome Med Research BACKGROUND: Single liquid biopsy analytes (LBAs) have been utilized for therapy selection in metastatic breast cancer (MBC). We performed integrative statistical analyses to examine the clinical relevance of using multiple LBAs: matched circulating tumor cell (CTC) mRNA, CTC genomic DNA (gDNA), extracellular vesicle (EV) mRNA, and cell-free DNA (cfDNA). METHODS: Blood was drawn from 26 hormone receptor-positive, HER2-negative MBC patients. CTC mRNA and EV mRNA were analyzed using a multi-marker qPCR. Plasma from CTC-depleted blood was utilized for cfDNA isolation. gDNA from CTCs was isolated from mRNA-depleted CTC lysates. CTC gDNA and cfDNA were analyzed by targeted sequencing. Hierarchical clustering was performed within each analyte, and its results were combined into a score termed Evaluation of multiple Liquid biopsy analytes In Metastatic breast cancer patients All from one blood sample (ELIMA.score), which calculates the contribution of each analyte to the overall survival prediction. Singular value decomposition (SVD), mutual information calculation, k-means clustering, and graph-theoretic analysis were conducted to elucidate the dependence between individual analytes. RESULTS: A combination of two/three/four LBAs increased the prevalence of patients with actionable signals. Aggregating the results of hierarchical clustering of individual LBAs into the ELIMA.score resulted in a highly significant correlation with overall survival, thereby bolstering evidence for the additive value of using multiple LBAs. Computation of mutual information indicated that none of the LBAs is independent of the others, but the ability of a single LBA to describe the others is rather limited—only CTC gDNA could partially describe the other three LBAs. SVD revealed that the strongest singular vectors originate from all four LBAs, but a majority originated from CTC gDNA. After k-means clustering of patients based on parameters of all four LBAs, the graph-theoretic analysis revealed CTC ERBB2 variants only in patients belonging to one particular cluster. CONCLUSIONS: The additional benefits of using all four LBAs were objectively demonstrated in this pilot study, which also indicated a relative dominance of CTC gDNA over the other LBAs. Consequently, a multi-parametric liquid biopsy approach deconvolutes the genomic and transcriptomic complexity and should be considered in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00902-1. BioMed Central 2021-05-17 /pmc/articles/PMC8130163/ /pubmed/34001236 http://dx.doi.org/10.1186/s13073-021-00902-1 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Keup, Corinna Suryaprakash, Vinay Hauch, Siegfried Storbeck, Markus Hahn, Peter Sprenger-Haussels, Markus Kolberg, Hans-Christian Tewes, Mitra Hoffmann, Oliver Kimmig, Rainer Kasimir-Bauer, Sabine Integrative statistical analyses of multiple liquid biopsy analytes in metastatic breast cancer |
title | Integrative statistical analyses of multiple liquid biopsy analytes in metastatic breast cancer |
title_full | Integrative statistical analyses of multiple liquid biopsy analytes in metastatic breast cancer |
title_fullStr | Integrative statistical analyses of multiple liquid biopsy analytes in metastatic breast cancer |
title_full_unstemmed | Integrative statistical analyses of multiple liquid biopsy analytes in metastatic breast cancer |
title_short | Integrative statistical analyses of multiple liquid biopsy analytes in metastatic breast cancer |
title_sort | integrative statistical analyses of multiple liquid biopsy analytes in metastatic breast cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130163/ https://www.ncbi.nlm.nih.gov/pubmed/34001236 http://dx.doi.org/10.1186/s13073-021-00902-1 |
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