Nomograms predict survival of patients with lymph node-positive, luminal a breast cancer
Abstract Background To develop nomograms for the prediction of the 1-, 3-, and 5-year overall survival (OS) and breast cancer-specific survival (BCSS) for patients with lymph node positive, luminal A breast cancer. Methods Thirty-nine thousand fifty-one patients from The Surveillance, Epidemiology,...
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BMC
2021-08-01
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Series: | BMC Cancer |
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Online Access: | https://doi.org/10.1186/s12885-021-08642-6 |
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author | Yilun Li Li Ma |
author_facet | Yilun Li Li Ma |
author_sort | Yilun Li |
collection | DOAJ |
description | Abstract Background To develop nomograms for the prediction of the 1-, 3-, and 5-year overall survival (OS) and breast cancer-specific survival (BCSS) for patients with lymph node positive, luminal A breast cancer. Methods Thirty-nine thousand fifty-one patients from The Surveillance, Epidemiology, and End Results (SEER) database were included in our study and were set into a training group (n = 19,526) and a validation group (n = 19,525). Univariate analysis and Cox proportional hazards analysis were used to select variables and set up nomogram models on the basis of the training group. Kaplan-Meier curves and the log-rank test were adopted in the survival analysis and curves plotting. C-index, calibration plots and ROC curves were used to performed internal and external validation on the training group and validation group. Results Following independent factors were included in our nomograms: Age, marital status, grade, ethnic group, T stage, positive lymph nodes numbers, Metastasis, surgery, radiotherapy, chemotherapy. In both the training group and testing group, the calibration plots show that the actual and nomogram-predicted survival probabilities are consistent greatly. The C-index values of the nomograms in the training and validation cohorts were 0.782 and 0.806 for OS and 0.783 and 0.804 for BCSS, respectively. The ROC curves show that our nomograms have good discrimination. Conclusions The nomograms may assist clinicians predict the 1-, 3-, and 5-year OS and BCSS of patients with lymph node positive, luminal A breast cancer. |
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institution | Directory Open Access Journal |
issn | 1471-2407 |
language | English |
last_indexed | 2024-12-13T21:42:27Z |
publishDate | 2021-08-01 |
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series | BMC Cancer |
spelling | doaj.art-f7279840574749959d2bd78e3ffda0df2022-12-21T23:30:30ZengBMCBMC Cancer1471-24072021-08-0121111710.1186/s12885-021-08642-6Nomograms predict survival of patients with lymph node-positive, luminal a breast cancerYilun Li0Li Ma1The Fourth Hospital of Hebei Medical UniversityThe Fourth Hospital of Hebei Medical UniversityAbstract Background To develop nomograms for the prediction of the 1-, 3-, and 5-year overall survival (OS) and breast cancer-specific survival (BCSS) for patients with lymph node positive, luminal A breast cancer. Methods Thirty-nine thousand fifty-one patients from The Surveillance, Epidemiology, and End Results (SEER) database were included in our study and were set into a training group (n = 19,526) and a validation group (n = 19,525). Univariate analysis and Cox proportional hazards analysis were used to select variables and set up nomogram models on the basis of the training group. Kaplan-Meier curves and the log-rank test were adopted in the survival analysis and curves plotting. C-index, calibration plots and ROC curves were used to performed internal and external validation on the training group and validation group. Results Following independent factors were included in our nomograms: Age, marital status, grade, ethnic group, T stage, positive lymph nodes numbers, Metastasis, surgery, radiotherapy, chemotherapy. In both the training group and testing group, the calibration plots show that the actual and nomogram-predicted survival probabilities are consistent greatly. The C-index values of the nomograms in the training and validation cohorts were 0.782 and 0.806 for OS and 0.783 and 0.804 for BCSS, respectively. The ROC curves show that our nomograms have good discrimination. Conclusions The nomograms may assist clinicians predict the 1-, 3-, and 5-year OS and BCSS of patients with lymph node positive, luminal A breast cancer.https://doi.org/10.1186/s12885-021-08642-6Luminal ALymph node-positiveNomogramsPrognosis |
spellingShingle | Yilun Li Li Ma Nomograms predict survival of patients with lymph node-positive, luminal a breast cancer BMC Cancer Luminal A Lymph node-positive Nomograms Prognosis |
title | Nomograms predict survival of patients with lymph node-positive, luminal a breast cancer |
title_full | Nomograms predict survival of patients with lymph node-positive, luminal a breast cancer |
title_fullStr | Nomograms predict survival of patients with lymph node-positive, luminal a breast cancer |
title_full_unstemmed | Nomograms predict survival of patients with lymph node-positive, luminal a breast cancer |
title_short | Nomograms predict survival of patients with lymph node-positive, luminal a breast cancer |
title_sort | nomograms predict survival of patients with lymph node positive luminal a breast cancer |
topic | Luminal A Lymph node-positive Nomograms Prognosis |
url | https://doi.org/10.1186/s12885-021-08642-6 |
work_keys_str_mv | AT yilunli nomogramspredictsurvivalofpatientswithlymphnodepositiveluminalabreastcancer AT lima nomogramspredictsurvivalofpatientswithlymphnodepositiveluminalabreastcancer |