Literature DB >> 34704816

Development of prognostic nomograms using institutional data for patients with triple-negative breast cancer.

Jie-Yu Zhou1, Kang-Kang Lu1, Wei-Da Fu1, Hao Shi2, Jun-Wei Gu1, Yi-Qiao Lu1, Gui-Long Guo1.   

Abstract

Background: Triple-negative breast cancer (TNBC) is an aggressive disease. Nomograms can predict prognosis of patients with TNBC.
Methods: A total of 745 eligible TNBC patients were recruited and randomly divided into training and validation groups. Endpoints were disease-free survival and overall survival. Concordance index, area under the curve and calibration curves were used to analyze the predictive accuracy and discriminative ability of nomograms.
Results: Based on the training cohort, neutrophil-to-lymphocyte ratio, positive lymph nodes, tumor size and tumor-infiltrating lymphocytes were used to construct a nomogram for disease-free survival. In addition, age was added to the overall survival nomogram.
Conclusion: The current study developed and validated well-calibrated nomograms for predicting disease-free survival and overall survival in patients with TNBC.

Entities:  

Keywords:  nomograms; prediction; prognosis; triple-negative breast cancer

Mesh:

Year:  2021        PMID: 34704816     DOI: 10.2217/fon-2021-0677

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  1 in total

1.  A Nomogram for Predicting Liver Metastasis of Lymph-Node Positive Luminal B HER2 Negative Subtype Breast Cancer by Analyzing the Clinicopathological Characteristics of Patients with Breast Cancer.

Authors:  Yuhan Yue; Junqing Liang; Yuruo Wu; Weibing Tong; Dan Li; Xuchen Cao; Xin Wang
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec
  1 in total

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