Nomogram for predicting survival in patients with mucinous breast cancer undergoing chemotherapy and surgery: a population-based study

Abstract Background The prognosis of patients with mucinous breast cancer (MuBC) is affected by several factors, but the low incidence of MuBC makes it difficult to conduct extensive and in-depth studies. This study was designed to establish a prognostic model and verify its accuracy in patients wit...

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Main Authors: Ting Gao, Yuyuan Chen, Ming Li, Keying Zhu, Rong Guo, Yiyin Tang, Sheng Huang, Dedian Chen
Format: Article
Language:English
Published: BMC 2023-10-01
Series:European Journal of Medical Research
Subjects:
Online Access:https://doi.org/10.1186/s40001-023-01395-x
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author Ting Gao
Yuyuan Chen
Ming Li
Keying Zhu
Rong Guo
Yiyin Tang
Sheng Huang
Dedian Chen
author_facet Ting Gao
Yuyuan Chen
Ming Li
Keying Zhu
Rong Guo
Yiyin Tang
Sheng Huang
Dedian Chen
author_sort Ting Gao
collection DOAJ
description Abstract Background The prognosis of patients with mucinous breast cancer (MuBC) is affected by several factors, but the low incidence of MuBC makes it difficult to conduct extensive and in-depth studies. This study was designed to establish a prognostic model and verify its accuracy in patients with MuBC after chemotherapy and surgery to help develop personalized treatment strategies. Materials and methods Patients with MuBC who underwent chemotherapy and surgery from 2004 to 2015 were identified in the Surveillance, Epidemiology, and End Results (SEER) database. The prognostic factors of patients with MuBC were investigated using a Cox proportional hazards regression analysis. Based on the identified factors, a nomogram was constructed to forecast the overall survival (OS) of patients at 3, 5, and 10 years. Internal (from SEER) and external (from Yunnan Cancer Center, YNCC) verification queues were used to verify the nomogram and demonstrate the predictive capacity of this model. Results The study comprised 1668 MuBC patients from the SEER database and 107 from the YNCC. The nomogram included four characteristics: age, anatomical stage, surgical method, and radiotherapy. The concordance indices in the training, internal verification, and external verification queues were 0.680, 0.768, and 0.864, respectively. The calibration curves for the nomogram showed excellent agreement between the predictions and observations. This nomogram has good clinical application value according to the decision curve analysis. Conclusions The prognosis of patients with MuBC who have undergone chemotherapy and surgery can be forecasted using this nomogram, which would be beneficial to help create individualized treatment plans for the affected patients.
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spelling doaj.art-ee1faa4732574429a4d0e32e0bc896f22023-11-19T12:47:20ZengBMCEuropean Journal of Medical Research2047-783X2023-10-0128111110.1186/s40001-023-01395-xNomogram for predicting survival in patients with mucinous breast cancer undergoing chemotherapy and surgery: a population-based studyTing Gao0Yuyuan Chen1Ming Li2Keying Zhu3Rong Guo4Yiyin Tang5Sheng Huang6Dedian Chen7The 2Nd Department of Breast Surgery, Breast Cancer Center of the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer HospitalThe 2Nd Department of Breast Surgery, Breast Cancer Center of the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer HospitalThe 2Nd Department of Breast Surgery, Breast Cancer Center of the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer HospitalThe 2Nd Department of Breast Surgery, Breast Cancer Center of the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer HospitalThe 2Nd Department of Breast Surgery, Breast Cancer Center of the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer HospitalThe 2Nd Department of Breast Surgery, Breast Cancer Center of the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer HospitalThe 2Nd Department of Breast Surgery, Breast Cancer Center of the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer HospitalThe 2Nd Department of Breast Surgery, Breast Cancer Center of the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer HospitalAbstract Background The prognosis of patients with mucinous breast cancer (MuBC) is affected by several factors, but the low incidence of MuBC makes it difficult to conduct extensive and in-depth studies. This study was designed to establish a prognostic model and verify its accuracy in patients with MuBC after chemotherapy and surgery to help develop personalized treatment strategies. Materials and methods Patients with MuBC who underwent chemotherapy and surgery from 2004 to 2015 were identified in the Surveillance, Epidemiology, and End Results (SEER) database. The prognostic factors of patients with MuBC were investigated using a Cox proportional hazards regression analysis. Based on the identified factors, a nomogram was constructed to forecast the overall survival (OS) of patients at 3, 5, and 10 years. Internal (from SEER) and external (from Yunnan Cancer Center, YNCC) verification queues were used to verify the nomogram and demonstrate the predictive capacity of this model. Results The study comprised 1668 MuBC patients from the SEER database and 107 from the YNCC. The nomogram included four characteristics: age, anatomical stage, surgical method, and radiotherapy. The concordance indices in the training, internal verification, and external verification queues were 0.680, 0.768, and 0.864, respectively. The calibration curves for the nomogram showed excellent agreement between the predictions and observations. This nomogram has good clinical application value according to the decision curve analysis. Conclusions The prognosis of patients with MuBC who have undergone chemotherapy and surgery can be forecasted using this nomogram, which would be beneficial to help create individualized treatment plans for the affected patients.https://doi.org/10.1186/s40001-023-01395-xMucinous breast cancerPrognostic factorsPredictNomogramSurvival
spellingShingle Ting Gao
Yuyuan Chen
Ming Li
Keying Zhu
Rong Guo
Yiyin Tang
Sheng Huang
Dedian Chen
Nomogram for predicting survival in patients with mucinous breast cancer undergoing chemotherapy and surgery: a population-based study
European Journal of Medical Research
Mucinous breast cancer
Prognostic factors
Predict
Nomogram
Survival
title Nomogram for predicting survival in patients with mucinous breast cancer undergoing chemotherapy and surgery: a population-based study
title_full Nomogram for predicting survival in patients with mucinous breast cancer undergoing chemotherapy and surgery: a population-based study
title_fullStr Nomogram for predicting survival in patients with mucinous breast cancer undergoing chemotherapy and surgery: a population-based study
title_full_unstemmed Nomogram for predicting survival in patients with mucinous breast cancer undergoing chemotherapy and surgery: a population-based study
title_short Nomogram for predicting survival in patients with mucinous breast cancer undergoing chemotherapy and surgery: a population-based study
title_sort nomogram for predicting survival in patients with mucinous breast cancer undergoing chemotherapy and surgery a population based study
topic Mucinous breast cancer
Prognostic factors
Predict
Nomogram
Survival
url https://doi.org/10.1186/s40001-023-01395-x
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