ArticleFrontiers in endocrinology2023
A novel conditional survival nomogram for monitoring real-time prognosis of non-metastatic triple-negative breast cancer.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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22 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Extracellular Vesicles as Emerging Drug Delivery Platforms in Triple-Negative Breast Cancer: A Systematic Review.International journal of nanomedicine · 2026Pooled it
- Nomograms for the prognosis prediction model of early-stage triple-negative breast cancer - based on SEER database.Future science OA · 2026Article
- Risk-dependent conditional survival analysis and annual hazard rate of primary ocular adnexal lymphoma.Discover oncology · 2026Article
- 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
- Dynamic conditional survival nomogram for non-early-stage infiltrating ductal carcinoma based on SEER database.Scientific reports · 2025Article
- Conditional survival prediction in elderly patients with hormone receptor positive locally advanced breast cancer using a competing risks model.Discover oncology · 2025Article
- A scoping review of web-based, interactive, personalized decision-making tools available to support breast cancer treatment and survivorship care.Journal of cancer survivorship : research and practice · 2025Article
- Building a dynamic web calculator for individualized conditional survival estimation in brainstem ependymoma.Scientific reports · 2025Article
- Natural history and prognostic nomogram of untreated triple negative breast cancer based on SEER database.Scientific reports · 2025Article
- Dynamic conditional survival nomogram for primary hepatocellular carcinoma: a population-based analysis.Discover oncology · 2025Article
- Individualized estimation of conditional survival for patients with spinal chordoma.Translational cancer research · 2025Article
- Conditional survival estimates for ependymomas reveal the dynamic nature of prognostication.Discover oncology · 2024Article
- A hybrid DDA/DIA-PASEF based assay library for a deep proteotyping of triple-negative breast cancer.Scientific data · 2024Article
- Article
- Conditional survival analysis and dynamic survival prediction for intracranial solitary-fibrous tumor/hemangiopericytoma.Journal of cancer research and clinical oncology · 2024Article
- Sacituzumab govitecan in triple-negative breast cancer: from bench to bedside, and back.Frontiers in immunology · 2024Review
- Dynamic assessment of long-term survival in survivors with stage III non-small cell lung cancer: a novel conditional survival model with a web-based calculator.Frontiers in medicine · 2024Article
- Conditional survival analysis and dynamic prediction of long-term survival in Merkel cell carcinoma patients.Frontiers in medicine · 2024Article
- Dynamic estimates of survival of patients with poorly differentiated thyroid carcinoma: a population-based study.Frontiers in endocrinology · 2024Article
- Conditional survival of elderly primary central nervous system lymphoma.Journal of cancer research and clinical oncology · 2023Article
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4 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Conditional survival (CS) is defined as the possibility of further survival after patients have survived for several years since diagnosis. This may be highly valuable for real-time prognostic monitoring, especially when considering individualized factors. Such prediction tools were lacking for non-metastatic triple-negative breast cancer (TNBC). Therefore, this study estimated CS and developed a novel CS-nomogram for real-time prediction of 10-year survival. Methods: We recruited 32,836 non-metastatic TNBC patients from the Surveillance, Epidemiology, and End Results (SEER) database (2010-2019), who were divided into training and validation groups according to a 7:3 ratio. The Kaplan-Meier method estimated overall survival (OS), and the CS was calculated using the formula CS(y|x) =OS(y+x)/OS(x), where OS(x) and OS(y+x) were the survival of x- and (x+y)-years, respectively. The least absolute shrinkage and selection operator (LASSO) regression identified predictors to develop the CS-nomogram. Results: CS analysis reported gradual improvement in real-time survival over time since diagnosis, with 10-year OS updated annually from an initial 69.9% to 72.8%, 78.1%, 83.0%, 87.0%, 90.3%, 93.0%, 95.0%, 97.0%, and 98.9% (after 1-9 years of survival, respectively). The LASSO regression identified age, marriage, race, T status, N status, chemotherapy, surgery, and radiotherapy as predictors of CS-nomogram development. This model had a satisfactory predictive performance with a stable 10-year time-dependent area under the curves (AUCs) between 0.75 and 0.86. Conclusions: Survival of non-metastatic TNBC survivors improved dynamically and non-linearly with survival time. The study developed a CS-nomogram that provided more accurate prognostic data than traditional nomograms, aiding clinical decision-making and reducing patient anxiety.
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