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,...

Full description

Bibliographic Details
Main Authors: Yilun Li, Li Ma
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Cancer
Subjects:
Online Access:https://doi.org/10.1186/s12885-021-08642-6
_version_ 1818363059743227904
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.
first_indexed 2024-12-13T21:42:27Z
format Article
id doaj.art-f7279840574749959d2bd78e3ffda0df
institution Directory Open Access Journal
issn 1471-2407
language English
last_indexed 2024-12-13T21:42:27Z
publishDate 2021-08-01
publisher BMC
record_format Article
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