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Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification
Despite recent refinements to the 21-gene g score, allowing a better identification of patients who may derive no benefit from the addition of adjuvant chemotherapy to that of endocrine therapy, patients with early breast cancer still stand to be over-treated in the setting of clinical and/or genomi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715716/ https://www.ncbi.nlm.nih.gov/pubmed/31482106 http://dx.doi.org/10.1038/s41523-019-0123-9 |
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author | McCartney, Amelia Vignoli, Alessia Tenori, Leonardo Fornier, Monica Rossi, Lorenzo Risi, Emanuela Luchinat, Claudio Biganzoli, Laura Di Leo, Angelo |
author_facet | McCartney, Amelia Vignoli, Alessia Tenori, Leonardo Fornier, Monica Rossi, Lorenzo Risi, Emanuela Luchinat, Claudio Biganzoli, Laura Di Leo, Angelo |
author_sort | McCartney, Amelia |
collection | PubMed |
description | Despite recent refinements to the 21-gene g score, allowing a better identification of patients who may derive no benefit from the addition of adjuvant chemotherapy to that of endocrine therapy, patients with early breast cancer still stand to be over-treated in the setting of clinical and/or genomic uncertainty or discordance. Here we describe and demonstrate a potential approach of further refining the OncotypeDX risk score by metabolomic analysis of serum. In a clinical dataset (N = 87), the risk of recurrence was further sub-stratified by metabolomic signature, with an effective splitting of each Oncotype risk classification. A total of seven recurrences were recorded, with metabolomic analysis accurately predicting six of these. Contrastingly, the genomic risk score of the seven recurrences ranged across all three Oncotype classifications (one recurrence occurred in the “low”-risk group, three in the “intermediate” group and three in the “high”-risk group). |
format | Online Article Text |
id | pubmed-6715716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67157162019-09-03 Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification McCartney, Amelia Vignoli, Alessia Tenori, Leonardo Fornier, Monica Rossi, Lorenzo Risi, Emanuela Luchinat, Claudio Biganzoli, Laura Di Leo, Angelo NPJ Breast Cancer Brief Communication Despite recent refinements to the 21-gene g score, allowing a better identification of patients who may derive no benefit from the addition of adjuvant chemotherapy to that of endocrine therapy, patients with early breast cancer still stand to be over-treated in the setting of clinical and/or genomic uncertainty or discordance. Here we describe and demonstrate a potential approach of further refining the OncotypeDX risk score by metabolomic analysis of serum. In a clinical dataset (N = 87), the risk of recurrence was further sub-stratified by metabolomic signature, with an effective splitting of each Oncotype risk classification. A total of seven recurrences were recorded, with metabolomic analysis accurately predicting six of these. Contrastingly, the genomic risk score of the seven recurrences ranged across all three Oncotype classifications (one recurrence occurred in the “low”-risk group, three in the “intermediate” group and three in the “high”-risk group). Nature Publishing Group UK 2019-08-29 /pmc/articles/PMC6715716/ /pubmed/31482106 http://dx.doi.org/10.1038/s41523-019-0123-9 Text en © The Author(s) 2019 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 | Brief Communication McCartney, Amelia Vignoli, Alessia Tenori, Leonardo Fornier, Monica Rossi, Lorenzo Risi, Emanuela Luchinat, Claudio Biganzoli, Laura Di Leo, Angelo Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification |
title | Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification |
title_full | Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification |
title_fullStr | Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification |
title_full_unstemmed | Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification |
title_short | Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification |
title_sort | metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715716/ https://www.ncbi.nlm.nih.gov/pubmed/31482106 http://dx.doi.org/10.1038/s41523-019-0123-9 |
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