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A new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients
This study aimed to validate the long-term prognostic value of a new clinical-genomic model, Distant Genetic Model-Clinical Variable Model 6 (DGM-CM6), developed in Asia as a prognostic panel for all subtypes of breast cancer. We included 752 operable stage I–III breast cancer patients representing...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078190/ https://www.ncbi.nlm.nih.gov/pubmed/32184406 http://dx.doi.org/10.1038/s41598-020-61535-9 |
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author | Huang, Tzu-Ting Lei, Lei Chen, Ching-Hsuan Andre Lu, Tzu-Pin Jen, Chung-Wen Cheng, Skye Hung-Chun |
author_facet | Huang, Tzu-Ting Lei, Lei Chen, Ching-Hsuan Andre Lu, Tzu-Pin Jen, Chung-Wen Cheng, Skye Hung-Chun |
author_sort | Huang, Tzu-Ting |
collection | PubMed |
description | This study aimed to validate the long-term prognostic value of a new clinical-genomic model, Distant Genetic Model-Clinical Variable Model 6 (DGM-CM6), developed in Asia as a prognostic panel for all subtypes of breast cancer. We included 752 operable stage I–III breast cancer patients representing all subtypes treated from 2005 to 2014 as the validation cohort. The median follow-up was 95.8 months. The low- and high-risk patients classified by DGM-CM6 (RI-DR) had significant differences in 10-year distant recurrence-free interval (DRFI) (94.1% vs. 85.0%, P < 0.0001) and relapse-free survival (RFS) (90.0% vs. 80.5%, P = 0.0003). External validation using EMTAB-365 dataset showed similar observation (P < 0.0001). DGM-CM6 was an independent prognostic factor by multivariate analysis with hazard ratios of 3.1 (1.6–6.0) for RFS (P = 0.0009) and 3.8 (1.6–9.0) for DRFI (P = 0.0028). Comparing the C-index of DGM-CM6 and PAM50-ROR scores, the former performed better than the latter in predicting long-term DRFI and RFS, especially in N0, ER/PR-positive, and HER2-negative patients. |
format | Online Article Text |
id | pubmed-7078190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70781902020-03-23 A new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients Huang, Tzu-Ting Lei, Lei Chen, Ching-Hsuan Andre Lu, Tzu-Pin Jen, Chung-Wen Cheng, Skye Hung-Chun Sci Rep Article This study aimed to validate the long-term prognostic value of a new clinical-genomic model, Distant Genetic Model-Clinical Variable Model 6 (DGM-CM6), developed in Asia as a prognostic panel for all subtypes of breast cancer. We included 752 operable stage I–III breast cancer patients representing all subtypes treated from 2005 to 2014 as the validation cohort. The median follow-up was 95.8 months. The low- and high-risk patients classified by DGM-CM6 (RI-DR) had significant differences in 10-year distant recurrence-free interval (DRFI) (94.1% vs. 85.0%, P < 0.0001) and relapse-free survival (RFS) (90.0% vs. 80.5%, P = 0.0003). External validation using EMTAB-365 dataset showed similar observation (P < 0.0001). DGM-CM6 was an independent prognostic factor by multivariate analysis with hazard ratios of 3.1 (1.6–6.0) for RFS (P = 0.0009) and 3.8 (1.6–9.0) for DRFI (P = 0.0028). Comparing the C-index of DGM-CM6 and PAM50-ROR scores, the former performed better than the latter in predicting long-term DRFI and RFS, especially in N0, ER/PR-positive, and HER2-negative patients. Nature Publishing Group UK 2020-03-17 /pmc/articles/PMC7078190/ /pubmed/32184406 http://dx.doi.org/10.1038/s41598-020-61535-9 Text en © The Author(s) 2020 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 Huang, Tzu-Ting Lei, Lei Chen, Ching-Hsuan Andre Lu, Tzu-Pin Jen, Chung-Wen Cheng, Skye Hung-Chun A new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients |
title | A new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients |
title_full | A new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients |
title_fullStr | A new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients |
title_full_unstemmed | A new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients |
title_short | A new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients |
title_sort | new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078190/ https://www.ncbi.nlm.nih.gov/pubmed/32184406 http://dx.doi.org/10.1038/s41598-020-61535-9 |
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