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MMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer

PURPOSE: More accurate prediction of patient outcome based on molecular subtype is required to identify patients who will benefit from specific treatments. METHODS: We selected novel 16 candidate prognostic genes, including 10 proliferation-related genes (p-genes) and 6 immune response-related genes...

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Autores principales: Han, Jinil, Choi, Yoon-La, Kim, Haein, Choi, Jun Young, Lee, Se Kyung, Lee, Jeong Eon, Choi, Joon-Seok, Park, Sarah, Choi, Jong-Sun, Kim, Young Deug, Nam, Seok Jin, Nam, Byung-Ho, Kwon, Mi Jeong, Shin, Young Kee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487710/
https://www.ncbi.nlm.nih.gov/pubmed/28409241
http://dx.doi.org/10.1007/s10549-017-4234-4
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author Han, Jinil
Choi, Yoon-La
Kim, Haein
Choi, Jun Young
Lee, Se Kyung
Lee, Jeong Eon
Choi, Joon-Seok
Park, Sarah
Choi, Jong-Sun
Kim, Young Deug
Nam, Seok Jin
Nam, Byung-Ho
Kwon, Mi Jeong
Shin, Young Kee
author_facet Han, Jinil
Choi, Yoon-La
Kim, Haein
Choi, Jun Young
Lee, Se Kyung
Lee, Jeong Eon
Choi, Joon-Seok
Park, Sarah
Choi, Jong-Sun
Kim, Young Deug
Nam, Seok Jin
Nam, Byung-Ho
Kwon, Mi Jeong
Shin, Young Kee
author_sort Han, Jinil
collection PubMed
description PURPOSE: More accurate prediction of patient outcome based on molecular subtype is required to identify patients who will benefit from specific treatments. METHODS: We selected novel 16 candidate prognostic genes, including 10 proliferation-related genes (p-genes) and 6 immune response-related genes (i-genes), from the gene list identified in our previous study. We then analyzed the association between their expression, measured by quantitative real-time reverse transcription-PCR in formalin-fixed, paraffin-embedded tissues, and clinical outcome in 819 breast cancer patients according to molecular subtype. RESULTS: The prognostic significance of clinical and gene variables varied according to the molecular subtype. Univariate analysis showed that positive lymph node status was significantly correlated with the increased risk of distant metastasis in all subtypes except the hormone receptor-negative, HER2-positive (HR−/HER2+) subtype. Most p-genes were significantly associated with poor prognosis in patients with the HR+/HER2− subtype, whereas i-genes correlated with a favorable outcome in patients with HR−/HER2+ breast cancer. In HR−/HER2+ breast cancer, four genes (three i-genes BTN3A2, CD2, and TRBC1 and the p-gene MMP11) were significantly associated with distant metastasis-free survival (DMFS). A new prognostic model for HR−/HER2+ breast cancer based on the expression of MMP11 and CD2 was developed and the DMFS for patients in the high-risk group according to our model was significantly lower than that for those in the low-risk group. Multivariate analyses revealed that our risk score is an independent prognostic factor for DMFS. Moreover, C-index showed that our risk score has a superior prognostic performance to traditional clinicopathological factors. CONCLUSIONS: Our new prognostic model for HR−/HER2+ breast cancer provides more accurate information on the risk of distant metastasis than traditional clinical prognostic factors and may be used to identify patients with a good prognosis in this aggressive subtype of breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10549-017-4234-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-54877102017-07-03 MMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer Han, Jinil Choi, Yoon-La Kim, Haein Choi, Jun Young Lee, Se Kyung Lee, Jeong Eon Choi, Joon-Seok Park, Sarah Choi, Jong-Sun Kim, Young Deug Nam, Seok Jin Nam, Byung-Ho Kwon, Mi Jeong Shin, Young Kee Breast Cancer Res Treat Preclinical Study PURPOSE: More accurate prediction of patient outcome based on molecular subtype is required to identify patients who will benefit from specific treatments. METHODS: We selected novel 16 candidate prognostic genes, including 10 proliferation-related genes (p-genes) and 6 immune response-related genes (i-genes), from the gene list identified in our previous study. We then analyzed the association between their expression, measured by quantitative real-time reverse transcription-PCR in formalin-fixed, paraffin-embedded tissues, and clinical outcome in 819 breast cancer patients according to molecular subtype. RESULTS: The prognostic significance of clinical and gene variables varied according to the molecular subtype. Univariate analysis showed that positive lymph node status was significantly correlated with the increased risk of distant metastasis in all subtypes except the hormone receptor-negative, HER2-positive (HR−/HER2+) subtype. Most p-genes were significantly associated with poor prognosis in patients with the HR+/HER2− subtype, whereas i-genes correlated with a favorable outcome in patients with HR−/HER2+ breast cancer. In HR−/HER2+ breast cancer, four genes (three i-genes BTN3A2, CD2, and TRBC1 and the p-gene MMP11) were significantly associated with distant metastasis-free survival (DMFS). A new prognostic model for HR−/HER2+ breast cancer based on the expression of MMP11 and CD2 was developed and the DMFS for patients in the high-risk group according to our model was significantly lower than that for those in the low-risk group. Multivariate analyses revealed that our risk score is an independent prognostic factor for DMFS. Moreover, C-index showed that our risk score has a superior prognostic performance to traditional clinicopathological factors. CONCLUSIONS: Our new prognostic model for HR−/HER2+ breast cancer provides more accurate information on the risk of distant metastasis than traditional clinical prognostic factors and may be used to identify patients with a good prognosis in this aggressive subtype of breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10549-017-4234-4) contains supplementary material, which is available to authorized users. Springer US 2017-04-13 2017 /pmc/articles/PMC5487710/ /pubmed/28409241 http://dx.doi.org/10.1007/s10549-017-4234-4 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
spellingShingle Preclinical Study
Han, Jinil
Choi, Yoon-La
Kim, Haein
Choi, Jun Young
Lee, Se Kyung
Lee, Jeong Eon
Choi, Joon-Seok
Park, Sarah
Choi, Jong-Sun
Kim, Young Deug
Nam, Seok Jin
Nam, Byung-Ho
Kwon, Mi Jeong
Shin, Young Kee
MMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer
title MMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer
title_full MMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer
title_fullStr MMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer
title_full_unstemmed MMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer
title_short MMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer
title_sort mmp11 and cd2 as novel prognostic factors in hormone receptor-negative, her2-positive breast cancer
topic Preclinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487710/
https://www.ncbi.nlm.nih.gov/pubmed/28409241
http://dx.doi.org/10.1007/s10549-017-4234-4
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