ArticleCancer management and research2019
Development and Validation of Nomograms for Predicting the Prognosis of Triple-Negative Breast Cancer Patients Based on 379 Chinese Patients.
Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Harnessing hematological ratios: prognostic insights for breast cancer management.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Pooled it
- Survival prediction in triple-negative breast cancer: a Cox model with fairness assessment using ISO/IEC TR 24027:2021 in a MENA cohort.Exploration of targeted anti-tumor therapy · 2026Article
- Deep learning for survival prediction in triple-negative breast cancer: development and validation in real-world cohorts.Scientific reports · 2025Article
- Natural history and prognostic nomogram of untreated triple negative breast cancer based on SEER database.Scientific reports · 2025Article
- Predictive markers of rapid disease progression and chemotherapy resistance in triple-negative breast cancer patients following postoperative adjuvant therapy.Scientific reports · 2025Article
- Scutellaria barbata D.Don extract regulates Ezrin-mediated triple negative breast cancer progress via suppressing the RhoA /ROCK1 signaling.Toxicology research · 2024Article
- Development and validation of a nomogram for predicting rapid relapse in triple-negative breast cancer patients treated with neoadjuvant chemotherapy.Frontiers in cell and developmental biology · 2024Article
- Construction and validation of a macrophage polarization-related prognostic index to predict the overall survival in patients with early-stage triple-negative breast cancer.Gland surgery · 2023Article
- Characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer.Frontiers in oncology · 2023Article
- Article
- Nomogram for predicting overall survival in Chinese triple-negative breast cancer patients after surgery.World journal of clinical cases · 2022Article
- Nomograms predicting recurrence in patients with triple negative breast cancer based on ultrasound and clinicopathological features.The British journal of radiology · 2022Article
- Validation of the revised 8th AJCC breast cancer clinical prognostic staging system: analysis of 5321 cases from a single institution.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021Article
- Prognostic nomogram for surgery of lung cancer in HIV-infected patients.Journal of thoracic disease · 2021Article
- Establishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer.Frontiers in cell and developmental biology · 2021Article
- A Novel Prognostic Model Based on the Serum Iron Level for Patients With Early-Stage Triple-Negative Breast Cancer.Frontiers in cell and developmental biology · 2021Article
- Construction of Nomograms for Predicting Pathological Complete Response and Tumor Shrinkage Size in Breast Cancer.Cancer management and research · 2020Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeWe aimed to construct universally applicable nomograms incorporating prognostic factors to predict the prognosis of patients with triple-negative breast cancer (TNBC). PATIENTS AND
methodsClinicopathological data of 379 patients with TNBC from March 2008 to June 2014 were retrospectively collected and analyzed. The endpoints were disease-free survival (DFS) and overall survival (OS). Patients were randomly divided into a training group and an independent validation group. In the training group, the prognostic factors were screened to develop nomograms. C-index and calibration curves were used to evaluate the predictive accuracy and discriminative ability of nomograms in both groups. The accuracy of the nomograms was also compared with the traditional American Joint Committee on Cancer Tumor-Node-Metastasis anatomical stage (8th edition).
resultsFour prognostic factors (albumin-to-globulin ratio, neutrophil-to-lymphocyte ratio, positive lymph nodes, and tumor size) were used to construct the nomogram of DFS. In addition to the aforementioned factors, age was taken into account in the construction of the OS nomogram. The C-index of the DFS nomogram in the training and validation groups was 0.71 (95% confidence interval [CI]: 0.64-0.77) and 0.69 (95% CI: 0.58-0.79), respectively; the C-index of the OS nomogram was 0.77 (95% CI: 0.70-0.84) and 0.74 (95% CI: 0.62-0.86), respectively. This suggests that the nomograms had high accuracy. Moreover, calibration curves showed good consistencies in both groups. Our models showed superiority in predicting accuracy compared with the AJCC TNM staging system. Furthermore, two web pages of the nomograms were produced: DFS: https://sh-skipper.shinyapps.io/TNBC1/; OS: https://sh-skipper.shinyapps.io/TNBC2/.
conclusionThese predictive models are simple and easy to use, particularly the web versions. They have certain clinical value in predicting the prognosis of patients with TNBC. They can assist doctors in identifying patients at different prognostic risks and strengthen the treatment or follow-up accordingly.
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