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

Yi-Zi Zheng,1,2 Hong-Bin Qin,1 Zi-Zheng Li,1 He-Sheng Jiang,3 Greg Zhang,4 Shi-Wei Yang,5 Xian-Ming Wang,2 Yang-Chun Xu,1 Zhen-Han Deng,6 Guo-Wen Liu2 1Department of Thyroid and Breast Surgery, The People’s Hospital of Hechi, Hechi, Guangxi, People’s Republic of China; 2Department of Thyroid and Bre...

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Autores principales:	Zheng YZ, Qin HB, Li ZZ, Jiang HS, Zhang G, Yang SW, Wang XM, Xu YC, Deng ZH, Liu GW
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2021
Materias:	breast cancer ductal carcinoma in situ microinvasion nomogram survival Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/0693b7d43a954358b93a06eb61219306
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id	oai:doaj.org-article:0693b7d43a954358b93a06eb61219306
record_format	dspace
institution	DOAJ
collection	DOAJ
language	EN
topic	breast cancer ductal carcinoma in situ microinvasion nomogram survival Infectious and parasitic diseases RC109-216
spellingShingle	breast cancer ductal carcinoma in situ microinvasion nomogram survival Infectious and parasitic diseases RC109-216 Zheng YZ Qin HB Li ZZ Jiang HS Zhang G Yang SW Wang XM Xu YC Deng ZH Liu GW Prognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study
description	Yi-Zi Zheng,1,2 Hong-Bin Qin,1 Zi-Zheng Li,1 He-Sheng Jiang,3 Greg Zhang,4 Shi-Wei Yang,5 Xian-Ming Wang,2 Yang-Chun Xu,1 Zhen-Han Deng,6 Guo-Wen Liu2 1Department of Thyroid and Breast Surgery, The People’s Hospital of Hechi, Hechi, Guangxi, People’s Republic of China; 2Department of Thyroid and Breast Surgery, Shenzhen Breast Tumor Research Center for Diagnosis and Treatment, National Standardization Center for Breast Cancer Diagnosis and Treatment, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, People’s Republic of China; 3Department of Surgery, Oregon Health & Science University, Portland, OR, USA; 4McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA; 5Teaching Office, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, People’s Republic of China; 6Department of Sports Medicine, the First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, People’s Republic of ChinaCorrespondence: Yang-Chun XuDepartment of Thyroid and Breast Surgery, The People’s Hospital of Hechi, Middle 455 Jinchengjiang Road, Hechi, 547000, Guangxi, People’s Republic of ChinaTel/Fax +86-778-2293900Email xuyangchun2010@163.comYi-Zi ZhengDepartment of Thyroid and Breast Surgery, Shenzhen Breast Tumor Research Center for Diagnosis and Treatment, National Standardization Center for Breast Cancer Diagnosis and Treatment, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, 3002 Sungang West Road, Shenzhen, 518035, Guangdong, People’s Republic of ChinaTel/Fax +86-755-83366388Email 14111230029@fudan.edu.cnPurpose: 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.Keywords: breast cancer, ductal carcinoma in situ, microinvasion, nomogram, survival
format	article
author	Zheng YZ Qin HB Li ZZ Jiang HS Zhang G Yang SW Wang XM Xu YC Deng ZH Liu GW
author_facet	Zheng YZ Qin HB Li ZZ Jiang HS Zhang G Yang SW Wang XM Xu YC Deng ZH Liu GW
author_sort	Zheng YZ
title	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_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_sort	prognostic factors and a nomogram predicting survival in patients with breast ductal carcinoma in situ with microinvasion: a population-based study
publisher	Dove Medical Press
publishDate	2021
url	https://doaj.org/article/0693b7d43a954358b93a06eb61219306
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spelling	oai:doaj.org-article:0693b7d43a954358b93a06eb612193062021-11-30T18:50:36ZPrognostic Factors and a Nomogram Predicting Survival in Patients with Breast Ductal Carcinoma in situ with Microinvasion: A Population-Based Study1179-1349https://doaj.org/article/0693b7d43a954358b93a06eb612193062021-11-01T00:00:00Zhttps://www.dovepress.com/prognostic-factors-and-a-nomogram-predicting-survival-in-patients-with-peer-reviewed-fulltext-article-CLEPhttps://doaj.org/toc/1179-1349Yi-Zi Zheng,1,2 Hong-Bin Qin,1 Zi-Zheng Li,1 He-Sheng Jiang,3 Greg Zhang,4 Shi-Wei Yang,5 Xian-Ming Wang,2 Yang-Chun Xu,1 Zhen-Han Deng,6 Guo-Wen Liu2 1Department of Thyroid and Breast Surgery, The People’s Hospital of Hechi, Hechi, Guangxi, People’s Republic of China; 2Department of Thyroid and Breast Surgery, Shenzhen Breast Tumor Research Center for Diagnosis and Treatment, National Standardization Center for Breast Cancer Diagnosis and Treatment, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, People’s Republic of China; 3Department of Surgery, Oregon Health & Science University, Portland, OR, USA; 4McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA; 5Teaching Office, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, People’s Republic of China; 6Department of Sports Medicine, the First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, People’s Republic of ChinaCorrespondence: Yang-Chun XuDepartment of Thyroid and Breast Surgery, The People’s Hospital of Hechi, Middle 455 Jinchengjiang Road, Hechi, 547000, Guangxi, People’s Republic of ChinaTel/Fax +86-778-2293900Email xuyangchun2010@163.comYi-Zi ZhengDepartment of Thyroid and Breast Surgery, Shenzhen Breast Tumor Research Center for Diagnosis and Treatment, National Standardization Center for Breast Cancer Diagnosis and Treatment, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, 3002 Sungang West Road, Shenzhen, 518035, Guangdong, People’s Republic of ChinaTel/Fax +86-755-83366388Email 14111230029@fudan.edu.cnPurpose: 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.Keywords: breast cancer, ductal carcinoma in situ, microinvasion, nomogram, survivalZheng YZQin HBLi ZZJiang HSZhang GYang SWWang XMXu YCDeng ZHLiu GWDove Medical Pressarticlebreast cancerductal carcinoma in situmicroinvasionnomogramsurvivalInfectious and parasitic diseasesRC109-216ENClinical Epidemiology, Vol Volume 13, Pp 1095-1108 (2021)

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

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