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TP53 Mutational Analysis Enhances the Prognostic Accuracy of IHC4 and PAM50 Assays
IHC4 and PAM50 assays have been shown to provide additional prognostic information for patients with early breast cancer. We evaluated whether incorporating TP53 mutation analysis can further enhance their prognostic accuracy. We examined TP53 mutation and the IHC4 score in tumors of 605 patients di...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4680865/ https://www.ncbi.nlm.nih.gov/pubmed/26671300 http://dx.doi.org/10.1038/srep17879 |
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author | Lin, Ching-Hung Chen, I-Chiun Huang, Chiun-Sheng Hu, Fu-Chang Kuo, Wen-Hung Kuo, Kuan-Ting Wang, Chung-Chieh Wu, Pei-Fang Chang, Dwan-Ying Wang, Ming-Yang Chang, Chin-Hao Chen, Wei-Wu Lu, Yen-Shen Cheng, Ann-Lii |
author_facet | Lin, Ching-Hung Chen, I-Chiun Huang, Chiun-Sheng Hu, Fu-Chang Kuo, Wen-Hung Kuo, Kuan-Ting Wang, Chung-Chieh Wu, Pei-Fang Chang, Dwan-Ying Wang, Ming-Yang Chang, Chin-Hao Chen, Wei-Wu Lu, Yen-Shen Cheng, Ann-Lii |
author_sort | Lin, Ching-Hung |
collection | PubMed |
description | IHC4 and PAM50 assays have been shown to provide additional prognostic information for patients with early breast cancer. We evaluated whether incorporating TP53 mutation analysis can further enhance their prognostic accuracy. We examined TP53 mutation and the IHC4 score in tumors of 605 patients diagnosed with stage I–III breast cancer at National Taiwan University Hospital (the NTUH cohort). We obtained information regarding TP53 mutation and PAM50 subtypes in 699 tumors from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohort. We found that TP53 mutation was significantly associated with high-risk IHC4 group and with luminal B, HER2-enriched, and basal-like subtypes. Despite the strong associations, TP53 mutation independently predicted shorter relapse-free survival (hazard ratio [HR] = 1.63, P = 0.007) in the NTUH cohort and shorter breast cancer-specific survival (HR = 2.35, P = <0.001) in the METABRIC cohort. TP53 mutational analysis added significant prognostic information in addition to the IHC4 score (∆ LR-χ(2) = 8.61, P = 0.002) in the NTUH cohort and the PAM50 subtypes (∆ LR-χ(2) = 18.9, P = <0.001) in the METABRIC cohort. We conclude that incorporating TP53 mutation analysis can enhance the prognostic accuracy of the IHC4 and PAM50 assays. |
format | Online Article Text |
id | pubmed-4680865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46808652015-12-18 TP53 Mutational Analysis Enhances the Prognostic Accuracy of IHC4 and PAM50 Assays Lin, Ching-Hung Chen, I-Chiun Huang, Chiun-Sheng Hu, Fu-Chang Kuo, Wen-Hung Kuo, Kuan-Ting Wang, Chung-Chieh Wu, Pei-Fang Chang, Dwan-Ying Wang, Ming-Yang Chang, Chin-Hao Chen, Wei-Wu Lu, Yen-Shen Cheng, Ann-Lii Sci Rep Article IHC4 and PAM50 assays have been shown to provide additional prognostic information for patients with early breast cancer. We evaluated whether incorporating TP53 mutation analysis can further enhance their prognostic accuracy. We examined TP53 mutation and the IHC4 score in tumors of 605 patients diagnosed with stage I–III breast cancer at National Taiwan University Hospital (the NTUH cohort). We obtained information regarding TP53 mutation and PAM50 subtypes in 699 tumors from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohort. We found that TP53 mutation was significantly associated with high-risk IHC4 group and with luminal B, HER2-enriched, and basal-like subtypes. Despite the strong associations, TP53 mutation independently predicted shorter relapse-free survival (hazard ratio [HR] = 1.63, P = 0.007) in the NTUH cohort and shorter breast cancer-specific survival (HR = 2.35, P = <0.001) in the METABRIC cohort. TP53 mutational analysis added significant prognostic information in addition to the IHC4 score (∆ LR-χ(2) = 8.61, P = 0.002) in the NTUH cohort and the PAM50 subtypes (∆ LR-χ(2) = 18.9, P = <0.001) in the METABRIC cohort. We conclude that incorporating TP53 mutation analysis can enhance the prognostic accuracy of the IHC4 and PAM50 assays. Nature Publishing Group 2015-12-16 /pmc/articles/PMC4680865/ /pubmed/26671300 http://dx.doi.org/10.1038/srep17879 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lin, Ching-Hung Chen, I-Chiun Huang, Chiun-Sheng Hu, Fu-Chang Kuo, Wen-Hung Kuo, Kuan-Ting Wang, Chung-Chieh Wu, Pei-Fang Chang, Dwan-Ying Wang, Ming-Yang Chang, Chin-Hao Chen, Wei-Wu Lu, Yen-Shen Cheng, Ann-Lii TP53 Mutational Analysis Enhances the Prognostic Accuracy of IHC4 and PAM50 Assays |
title | TP53 Mutational Analysis Enhances the Prognostic Accuracy of IHC4 and PAM50 Assays |
title_full | TP53 Mutational Analysis Enhances the Prognostic Accuracy of IHC4 and PAM50 Assays |
title_fullStr | TP53 Mutational Analysis Enhances the Prognostic Accuracy of IHC4 and PAM50 Assays |
title_full_unstemmed | TP53 Mutational Analysis Enhances the Prognostic Accuracy of IHC4 and PAM50 Assays |
title_short | TP53 Mutational Analysis Enhances the Prognostic Accuracy of IHC4 and PAM50 Assays |
title_sort | tp53 mutational analysis enhances the prognostic accuracy of ihc4 and pam50 assays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4680865/ https://www.ncbi.nlm.nih.gov/pubmed/26671300 http://dx.doi.org/10.1038/srep17879 |
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