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Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses

The interaction between the meiotic recombination 11 homolog A (MRE11) oncoprotein and breast cancer recurrence status remains unclear. The aim of this study was to assess the interaction between MRE11 and clinicopathologic variables in breast cancer. A dataset for 254 subjects with breast cancer (2...

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Autores principales: Yang, Cheng-Hong, Moi, Sin-Hua, Chuang, Li-Yeh, Yuan, Shyng-Shiou F., Hou, Ming-Feng, Lee, Yi-Chen, Chang, Hsueh-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241446/
https://www.ncbi.nlm.nih.gov/pubmed/28133604
http://dx.doi.org/10.1155/2017/2563910
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author Yang, Cheng-Hong
Moi, Sin-Hua
Chuang, Li-Yeh
Yuan, Shyng-Shiou F.
Hou, Ming-Feng
Lee, Yi-Chen
Chang, Hsueh-Wei
author_facet Yang, Cheng-Hong
Moi, Sin-Hua
Chuang, Li-Yeh
Yuan, Shyng-Shiou F.
Hou, Ming-Feng
Lee, Yi-Chen
Chang, Hsueh-Wei
author_sort Yang, Cheng-Hong
collection PubMed
description The interaction between the meiotic recombination 11 homolog A (MRE11) oncoprotein and breast cancer recurrence status remains unclear. The aim of this study was to assess the interaction between MRE11 and clinicopathologic variables in breast cancer. A dataset for 254 subjects with breast cancer (220 nonrecurrent and 34 recurrent) was used in individual and cumulated receiver operating characteristic (ROC) analyses of MRE11 and 12 clinicopathologic variables for predicting breast cancer recurrence. In individual ROC analysis, the area under curve (AUC) for each predictor of breast cancer recurrence was smaller than 0.7. In cumulated ROC analysis, however, the AUC value for each predictor improved. Ten relevant variables in breast cancer recurrence were used to find the optimal prognostic indicators. The presence of any six of the following ten variables had a high (79%) sensitivity and a high (70%) specificity for predicting breast cancer recurrence: tumor size ≥ 2.4 cm, tumor stage II/III, therapy other than hormone therapy, age ≥ 52 years, MRE11 positive cells > 50%, body mass index ≥ 24, lymph node metastasis, positivity for progesterone receptor, positivity for epidermal growth factor receptor, and negativity for estrogen receptor. In conclusion, this study revealed that these 10 clinicopathologic variables are the minimum discriminators needed for optimal discriminant effectiveness in predicting breast cancer recurrence.
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spelling pubmed-52414462017-01-29 Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses Yang, Cheng-Hong Moi, Sin-Hua Chuang, Li-Yeh Yuan, Shyng-Shiou F. Hou, Ming-Feng Lee, Yi-Chen Chang, Hsueh-Wei Biomed Res Int Research Article The interaction between the meiotic recombination 11 homolog A (MRE11) oncoprotein and breast cancer recurrence status remains unclear. The aim of this study was to assess the interaction between MRE11 and clinicopathologic variables in breast cancer. A dataset for 254 subjects with breast cancer (220 nonrecurrent and 34 recurrent) was used in individual and cumulated receiver operating characteristic (ROC) analyses of MRE11 and 12 clinicopathologic variables for predicting breast cancer recurrence. In individual ROC analysis, the area under curve (AUC) for each predictor of breast cancer recurrence was smaller than 0.7. In cumulated ROC analysis, however, the AUC value for each predictor improved. Ten relevant variables in breast cancer recurrence were used to find the optimal prognostic indicators. The presence of any six of the following ten variables had a high (79%) sensitivity and a high (70%) specificity for predicting breast cancer recurrence: tumor size ≥ 2.4 cm, tumor stage II/III, therapy other than hormone therapy, age ≥ 52 years, MRE11 positive cells > 50%, body mass index ≥ 24, lymph node metastasis, positivity for progesterone receptor, positivity for epidermal growth factor receptor, and negativity for estrogen receptor. In conclusion, this study revealed that these 10 clinicopathologic variables are the minimum discriminators needed for optimal discriminant effectiveness in predicting breast cancer recurrence. Hindawi Publishing Corporation 2017 2017-01-04 /pmc/articles/PMC5241446/ /pubmed/28133604 http://dx.doi.org/10.1155/2017/2563910 Text en Copyright © 2017 Cheng-Hong Yang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yang, Cheng-Hong
Moi, Sin-Hua
Chuang, Li-Yeh
Yuan, Shyng-Shiou F.
Hou, Ming-Feng
Lee, Yi-Chen
Chang, Hsueh-Wei
Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses
title Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses
title_full Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses
title_fullStr Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses
title_full_unstemmed Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses
title_short Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses
title_sort interaction of mre11 and clinicopathologic characteristics in recurrence of breast cancer: individual and cumulated receiver operating characteristic analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241446/
https://www.ncbi.nlm.nih.gov/pubmed/28133604
http://dx.doi.org/10.1155/2017/2563910
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