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Prognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study

PURPOSE: Ductal carcinoma in situ with microinvasion (DCISM) can be challenging to balance the risks of overtreatment versus undertreatment. We aim to identify prognostic factors in patients with DCISM and construct a nomogram to predict breast cancer-specific survival (BCSS). MATERIALS AND METHODS:...

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Autores principales: Zheng, Yi-Zi, Qin, Hong-Bin, Li, Zi-Zheng, Jiang, He-Sheng, Zhang, Greg, Yang, Shi-Wei, Wang, Xian-Ming, Xu, Yang-Chun, Deng, Zhen-Han, Liu, Guo-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8643132/
https://www.ncbi.nlm.nih.gov/pubmed/34876856
http://dx.doi.org/10.2147/CLEP.S341422
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author Zheng, Yi-Zi
Qin, Hong-Bin
Li, Zi-Zheng
Jiang, He-Sheng
Zhang, Greg
Yang, Shi-Wei
Wang, Xian-Ming
Xu, Yang-Chun
Deng, Zhen-Han
Liu, Guo-Wen
author_facet Zheng, Yi-Zi
Qin, Hong-Bin
Li, Zi-Zheng
Jiang, He-Sheng
Zhang, Greg
Yang, Shi-Wei
Wang, Xian-Ming
Xu, Yang-Chun
Deng, Zhen-Han
Liu, Guo-Wen
author_sort Zheng, Yi-Zi
collection PubMed
description PURPOSE: Ductal carcinoma in situ with microinvasion (DCISM) can be challenging to balance the risks of overtreatment versus undertreatment. We aim to identify prognostic factors in patients with DCISM and construct a nomogram to predict breast cancer-specific survival (BCSS). MATERIALS AND METHODS: A retrospective cohort study of women diagnosed with DCISM from 1988 to 2015 who were identified in the Surveillance, Epidemiology and End Results database. Clinical variables and tumor characteristics were evaluated, and Cox proportional-hazards regression was performed. A nomogram was constructed from the multivariate logistic regression to combine all the prognostic factors to predict the prognosis of DCISM patients at 5 years, 10 years, and 15 years. RESULTS: We identified 5438 total eligible breast cancer patients with a median and max survival time of 78 and 227 months, respectively. Here, patients with poorer survival outcomes were those diagnosed between 1988 and 2001, African-American race, under 40 years of age, higher tumor N stage, progesterone receptor-negative tumor, and received no surgery. The nomogram was constructed by the seven variables and passed the calibration and validation steps. The area under the receiver operating characteristic (ROC) curve (AUC) of both the training set and the validating set (5-year AUC: 0.77 and 0.88, 10-year AUC: 0.75 and 0.73, 15-year AUC: 0.72 and 0.65). Receiving chemotherapy was associated with a better BCSS (hazard ratio, HR=0.45, 95% confidence interval, 95% CI = 0.23–0.89), especially in patients with estrogen receptor (ER) negative, progesterone receptor (PR) negative (HR = 0.35, 95% CI = 0.13–0.97) and ER+PR-/ER-PR+ DCISM (HR = 0.07, 95% CI = 0.01–0.59). CONCLUSION: Our current study is the first to construct nomograms of patients with DCISM which could help physicians identify breast cancer patients that more likely to benefit from more intensive treatment and follow-up. Chemotherapy might benefit patients with ER-PR- and ER+PR-/ER-PR+ DCISM.
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spelling pubmed-86431322021-12-06 Prognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study Zheng, Yi-Zi Qin, Hong-Bin Li, Zi-Zheng Jiang, He-Sheng Zhang, Greg Yang, Shi-Wei Wang, Xian-Ming Xu, Yang-Chun Deng, Zhen-Han Liu, Guo-Wen Clin Epidemiol Original Research PURPOSE: Ductal carcinoma in situ with microinvasion (DCISM) can be challenging to balance the risks of overtreatment versus undertreatment. We aim to identify prognostic factors in patients with DCISM and construct a nomogram to predict breast cancer-specific survival (BCSS). MATERIALS AND METHODS: A retrospective cohort study of women diagnosed with DCISM from 1988 to 2015 who were identified in the Surveillance, Epidemiology and End Results database. Clinical variables and tumor characteristics were evaluated, and Cox proportional-hazards regression was performed. A nomogram was constructed from the multivariate logistic regression to combine all the prognostic factors to predict the prognosis of DCISM patients at 5 years, 10 years, and 15 years. RESULTS: We identified 5438 total eligible breast cancer patients with a median and max survival time of 78 and 227 months, respectively. Here, patients with poorer survival outcomes were those diagnosed between 1988 and 2001, African-American race, under 40 years of age, higher tumor N stage, progesterone receptor-negative tumor, and received no surgery. The nomogram was constructed by the seven variables and passed the calibration and validation steps. The area under the receiver operating characteristic (ROC) curve (AUC) of both the training set and the validating set (5-year AUC: 0.77 and 0.88, 10-year AUC: 0.75 and 0.73, 15-year AUC: 0.72 and 0.65). Receiving chemotherapy was associated with a better BCSS (hazard ratio, HR=0.45, 95% confidence interval, 95% CI = 0.23–0.89), especially in patients with estrogen receptor (ER) negative, progesterone receptor (PR) negative (HR = 0.35, 95% CI = 0.13–0.97) and ER+PR-/ER-PR+ DCISM (HR = 0.07, 95% CI = 0.01–0.59). CONCLUSION: Our current study is the first to construct nomograms of patients with DCISM which could help physicians identify breast cancer patients that more likely to benefit from more intensive treatment and follow-up. Chemotherapy might benefit patients with ER-PR- and ER+PR-/ER-PR+ DCISM. Dove 2021-11-30 /pmc/articles/PMC8643132/ /pubmed/34876856 http://dx.doi.org/10.2147/CLEP.S341422 Text en © 2021 Zheng et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zheng, Yi-Zi
Qin, Hong-Bin
Li, Zi-Zheng
Jiang, He-Sheng
Zhang, Greg
Yang, Shi-Wei
Wang, Xian-Ming
Xu, Yang-Chun
Deng, Zhen-Han
Liu, Guo-Wen
Prognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study
title Prognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study
title_full Prognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study
title_fullStr Prognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study
title_full_unstemmed Prognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study
title_short Prognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study
title_sort prognostic factors and a nomogram predicting survival in patients with breast ductal carcinoma in situ with microinvasion: a population-based study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8643132/
https://www.ncbi.nlm.nih.gov/pubmed/34876856
http://dx.doi.org/10.2147/CLEP.S341422
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