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Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study

BACKGROUND: To estimate survival in non-metastatic breast cancer patients who failed to achieve a pathological complete response (pCR) more effectively, we combined the clinicpathological characteristics after preoperative radiation therapy (pRT) and established a novel nomogram. MATERIALS AND METHO...

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Detalles Bibliográficos
Autores principales: Liu, Jianjun, Su, Mingxue, Hong, Shikai, Gao, Hong, Zheng, Xucai, Wang, Shengying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5564813/
https://www.ncbi.nlm.nih.gov/pubmed/28591713
http://dx.doi.org/10.18632/oncotarget.17991
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author Liu, Jianjun
Su, Mingxue
Hong, Shikai
Gao, Hong
Zheng, Xucai
Wang, Shengying
author_facet Liu, Jianjun
Su, Mingxue
Hong, Shikai
Gao, Hong
Zheng, Xucai
Wang, Shengying
author_sort Liu, Jianjun
collection PubMed
description BACKGROUND: To estimate survival in non-metastatic breast cancer patients who failed to achieve a pathological complete response (pCR) more effectively, we combined the clinicpathological characteristics after preoperative radiation therapy (pRT) and established a novel nomogram. MATERIALS AND METHODS: Using the Surveillance, Epidemiology, and End Results (SEER) database, we identified 2,545 non-metastatic breast cancer patients who underwent pRT between 1998 and 2013. Based on the registries of patients, the primary cohort divided into training set (n = 1,692) and validation set (n = 853). Nomograms were established by training set and validated by validation set. RESULTS: According to the multivariate analysis of training set, nomogram which combined age at diagnosed, marital status, location, grade, ER status, yp-T status, yp-N status and whether received breast conservation surgery (BCS) was developed. Calibration plots of the nomograms showed that the probability of DSS corresponded to actual observation closely. The C-index was 0.78 in validation set, which was significantly higher than that of yp-TNM staging system (0.75, p = 0.004). CONCLUSIONS: The proposed nomogram resulted in more–reliable DSS prediction for non-metastatic breast cancer patients in general population, it would be helpful in individualized survival prediction and better treatment allocation after pRT.
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spelling pubmed-55648132017-08-23 Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study Liu, Jianjun Su, Mingxue Hong, Shikai Gao, Hong Zheng, Xucai Wang, Shengying Oncotarget Research Paper BACKGROUND: To estimate survival in non-metastatic breast cancer patients who failed to achieve a pathological complete response (pCR) more effectively, we combined the clinicpathological characteristics after preoperative radiation therapy (pRT) and established a novel nomogram. MATERIALS AND METHODS: Using the Surveillance, Epidemiology, and End Results (SEER) database, we identified 2,545 non-metastatic breast cancer patients who underwent pRT between 1998 and 2013. Based on the registries of patients, the primary cohort divided into training set (n = 1,692) and validation set (n = 853). Nomograms were established by training set and validated by validation set. RESULTS: According to the multivariate analysis of training set, nomogram which combined age at diagnosed, marital status, location, grade, ER status, yp-T status, yp-N status and whether received breast conservation surgery (BCS) was developed. Calibration plots of the nomograms showed that the probability of DSS corresponded to actual observation closely. The C-index was 0.78 in validation set, which was significantly higher than that of yp-TNM staging system (0.75, p = 0.004). CONCLUSIONS: The proposed nomogram resulted in more–reliable DSS prediction for non-metastatic breast cancer patients in general population, it would be helpful in individualized survival prediction and better treatment allocation after pRT. Impact Journals LLC 2017-05-18 /pmc/articles/PMC5564813/ /pubmed/28591713 http://dx.doi.org/10.18632/oncotarget.17991 Text en Copyright: © 2017 Liu et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Liu, Jianjun
Su, Mingxue
Hong, Shikai
Gao, Hong
Zheng, Xucai
Wang, Shengying
Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study
title Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study
title_full Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study
title_fullStr Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study
title_full_unstemmed Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study
title_short Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study
title_sort nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: a seer-based study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5564813/
https://www.ncbi.nlm.nih.gov/pubmed/28591713
http://dx.doi.org/10.18632/oncotarget.17991
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