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A 23-gene prognostic classifier for prediction of recurrence and survival for Asian breast cancer patients

We report a 23- gene-classifier profiled from Asian women, with the primary purpose of assessing its clinical utility towards improved risk stratification for relapse for breast cancer patients from Asian cohorts within 10 years’ following mastectomy. Four hundred and twenty-two breast cancer patien...

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Autores principales: Chen, Ting-Hao, Chiu, Jian-Ying, Shih, Kuan-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711061/
https://www.ncbi.nlm.nih.gov/pubmed/33226082
http://dx.doi.org/10.1042/BSR20202794
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author Chen, Ting-Hao
Chiu, Jian-Ying
Shih, Kuan-Hui
author_facet Chen, Ting-Hao
Chiu, Jian-Ying
Shih, Kuan-Hui
author_sort Chen, Ting-Hao
collection PubMed
description We report a 23- gene-classifier profiled from Asian women, with the primary purpose of assessing its clinical utility towards improved risk stratification for relapse for breast cancer patients from Asian cohorts within 10 years’ following mastectomy. Four hundred and twenty-two breast cancer patients underwent mastectomy and were used to train the classifier on a logistic regression model. A subset of 197 patients were chosen to be entered into the follow-up studies post mastectomy who were examined to determine the patterns of recurrence and survival analysis based on gene expression of the gene classifier, age at diagnosis, tumor stage and lymph node status, over a 5 and 10 years follow-up period. Metastasis to lymph node (N2-N3) with N0 as the reference (N2 vs. N0 hazard ratio: 2.02 (1.05–8.70), N3 vs. N0 hazard ratio: 4.32 (1.41–13.22) for 5 years) and gene expression of the 23-gene panel (P=0.06, 5 years and 0.02, 10 years, log-rank test) were found to have significant discriminatory effects on the risk of relapse (HR (95%CI):2.50 (0.95–6.50)). Furthermore, survival curves for subgroup analysis with N0-N1 and T1-T2 predicted patients with higher risk scores. The study provides robust evidence of the effectiveness of the 23-gene-classifier and could be used to determine the risk of relapse event (locoregional and distant recurrence) in Asian patients, leading to a meaningful reduction in chemotherapy recommendations.
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spelling pubmed-77110612020-12-08 A 23-gene prognostic classifier for prediction of recurrence and survival for Asian breast cancer patients Chen, Ting-Hao Chiu, Jian-Ying Shih, Kuan-Hui Biosci Rep Bioinformatics We report a 23- gene-classifier profiled from Asian women, with the primary purpose of assessing its clinical utility towards improved risk stratification for relapse for breast cancer patients from Asian cohorts within 10 years’ following mastectomy. Four hundred and twenty-two breast cancer patients underwent mastectomy and were used to train the classifier on a logistic regression model. A subset of 197 patients were chosen to be entered into the follow-up studies post mastectomy who were examined to determine the patterns of recurrence and survival analysis based on gene expression of the gene classifier, age at diagnosis, tumor stage and lymph node status, over a 5 and 10 years follow-up period. Metastasis to lymph node (N2-N3) with N0 as the reference (N2 vs. N0 hazard ratio: 2.02 (1.05–8.70), N3 vs. N0 hazard ratio: 4.32 (1.41–13.22) for 5 years) and gene expression of the 23-gene panel (P=0.06, 5 years and 0.02, 10 years, log-rank test) were found to have significant discriminatory effects on the risk of relapse (HR (95%CI):2.50 (0.95–6.50)). Furthermore, survival curves for subgroup analysis with N0-N1 and T1-T2 predicted patients with higher risk scores. The study provides robust evidence of the effectiveness of the 23-gene-classifier and could be used to determine the risk of relapse event (locoregional and distant recurrence) in Asian patients, leading to a meaningful reduction in chemotherapy recommendations. Portland Press Ltd. 2020-12-02 /pmc/articles/PMC7711061/ /pubmed/33226082 http://dx.doi.org/10.1042/BSR20202794 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the .
spellingShingle Bioinformatics
Chen, Ting-Hao
Chiu, Jian-Ying
Shih, Kuan-Hui
A 23-gene prognostic classifier for prediction of recurrence and survival for Asian breast cancer patients
title A 23-gene prognostic classifier for prediction of recurrence and survival for Asian breast cancer patients
title_full A 23-gene prognostic classifier for prediction of recurrence and survival for Asian breast cancer patients
title_fullStr A 23-gene prognostic classifier for prediction of recurrence and survival for Asian breast cancer patients
title_full_unstemmed A 23-gene prognostic classifier for prediction of recurrence and survival for Asian breast cancer patients
title_short A 23-gene prognostic classifier for prediction of recurrence and survival for Asian breast cancer patients
title_sort 23-gene prognostic classifier for prediction of recurrence and survival for asian breast cancer patients
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711061/
https://www.ncbi.nlm.nih.gov/pubmed/33226082
http://dx.doi.org/10.1042/BSR20202794
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