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Pathological complete response of HER2-positive breast cancer to trastuzumab and chemotherapy can be predicted by HSD17B4 methylation

Human epidermal growth factor (HER) 2-directed therapy is the standard treatment for HER2-positive breast cancer. Patients who achieved a pathological complete response (pCR) to the therapy are associated with excellent disease-free survival. However, few molecular markers are available to predict p...

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Autores principales: Fujii, Satoshi, Yamashita, Satoshi, Yamaguchi, Takeshi, Takahashi, Masato, Hozumi, Yasuo, Ushijima, Toshikazu, Mukai, Hirofumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386667/
https://www.ncbi.nlm.nih.gov/pubmed/28186977
http://dx.doi.org/10.18632/oncotarget.15118
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author Fujii, Satoshi
Yamashita, Satoshi
Yamaguchi, Takeshi
Takahashi, Masato
Hozumi, Yasuo
Ushijima, Toshikazu
Mukai, Hirofumi
author_facet Fujii, Satoshi
Yamashita, Satoshi
Yamaguchi, Takeshi
Takahashi, Masato
Hozumi, Yasuo
Ushijima, Toshikazu
Mukai, Hirofumi
author_sort Fujii, Satoshi
collection PubMed
description Human epidermal growth factor (HER) 2-directed therapy is the standard treatment for HER2-positive breast cancer. Patients who achieved a pathological complete response (pCR) to the therapy are associated with excellent disease-free survival. However, few molecular markers are available to predict pCR. Here, we aimed to establish a DNA methylation marker to predict the response to trastuzumab and chemotherapy. A total of 67 patients were divided into screening (n = 21) and validation (n = 46) sets. Genome-wide DNA methylation analysis of the screening set identified eight genomic regions specifically methylated in patients with pCR. Among these, HSD17B4 encoding type 4 17β-hydroxysteroid dehydrogenase was most significantly differentially methylated. The differential methylation was confirmed by pyrosequencing (P = 0.03), and a cutoff value was determined. This association was successfully validated in the validation set (P < 0.001), and patients with pCR were predicted with a high specificity (79%). Multivariate analysis, including tumor stage and hormone receptor status, showed that HSD17B4 methylation was an independent predictive factor (odds ratio: 10.0, 95% confidence interval 2.54–39.50, P = 0.001). Combination with ER status and HSD17B4 methylation improved the specificity up to 91%. Identification of HER2-positive breast cancer patients who would achieve pCR only by trastuzumab and chemotherapy may lead to surgery-free treatment for this group of breast cancer patients.
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spelling pubmed-53866672017-04-26 Pathological complete response of HER2-positive breast cancer to trastuzumab and chemotherapy can be predicted by HSD17B4 methylation Fujii, Satoshi Yamashita, Satoshi Yamaguchi, Takeshi Takahashi, Masato Hozumi, Yasuo Ushijima, Toshikazu Mukai, Hirofumi Oncotarget Research Paper Human epidermal growth factor (HER) 2-directed therapy is the standard treatment for HER2-positive breast cancer. Patients who achieved a pathological complete response (pCR) to the therapy are associated with excellent disease-free survival. However, few molecular markers are available to predict pCR. Here, we aimed to establish a DNA methylation marker to predict the response to trastuzumab and chemotherapy. A total of 67 patients were divided into screening (n = 21) and validation (n = 46) sets. Genome-wide DNA methylation analysis of the screening set identified eight genomic regions specifically methylated in patients with pCR. Among these, HSD17B4 encoding type 4 17β-hydroxysteroid dehydrogenase was most significantly differentially methylated. The differential methylation was confirmed by pyrosequencing (P = 0.03), and a cutoff value was determined. This association was successfully validated in the validation set (P < 0.001), and patients with pCR were predicted with a high specificity (79%). Multivariate analysis, including tumor stage and hormone receptor status, showed that HSD17B4 methylation was an independent predictive factor (odds ratio: 10.0, 95% confidence interval 2.54–39.50, P = 0.001). Combination with ER status and HSD17B4 methylation improved the specificity up to 91%. Identification of HER2-positive breast cancer patients who would achieve pCR only by trastuzumab and chemotherapy may lead to surgery-free treatment for this group of breast cancer patients. Impact Journals LLC 2017-02-06 /pmc/articles/PMC5386667/ /pubmed/28186977 http://dx.doi.org/10.18632/oncotarget.15118 Text en Copyright: © 2017 Fujii et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Fujii, Satoshi
Yamashita, Satoshi
Yamaguchi, Takeshi
Takahashi, Masato
Hozumi, Yasuo
Ushijima, Toshikazu
Mukai, Hirofumi
Pathological complete response of HER2-positive breast cancer to trastuzumab and chemotherapy can be predicted by HSD17B4 methylation
title Pathological complete response of HER2-positive breast cancer to trastuzumab and chemotherapy can be predicted by HSD17B4 methylation
title_full Pathological complete response of HER2-positive breast cancer to trastuzumab and chemotherapy can be predicted by HSD17B4 methylation
title_fullStr Pathological complete response of HER2-positive breast cancer to trastuzumab and chemotherapy can be predicted by HSD17B4 methylation
title_full_unstemmed Pathological complete response of HER2-positive breast cancer to trastuzumab and chemotherapy can be predicted by HSD17B4 methylation
title_short Pathological complete response of HER2-positive breast cancer to trastuzumab and chemotherapy can be predicted by HSD17B4 methylation
title_sort pathological complete response of her2-positive breast cancer to trastuzumab and chemotherapy can be predicted by hsd17b4 methylation
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386667/
https://www.ncbi.nlm.nih.gov/pubmed/28186977
http://dx.doi.org/10.18632/oncotarget.15118
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