ArticleFrontiers in oncology2022
Survival nomogram for endometrial cancer with lung metastasis: A SEER database analysis.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Nomogram for predicting cancer-specific mortality risk in endometrial cancer after postoperative radiotherapy.Translational cancer research · 2026Article
- Prognostic Impact of Pulmonary Metastasectomy for Uterine Malignancies: A Retrospective Analysis of 38 Cases.Cancers · 2025Article
- Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients.Scientific reports · 2025Article
- Establishment and validation of a nomogram model for predicting early death in patients with endometrial cancer bone metastases.Frontiers in oncology · 2025Article
- MFAP5 inhibits the malignant progression of endometrial cancer cellsOpen life sciences · 2024Article
- Number of Positive Lymph Nodes and Survival in Endometrial Carcinoma: A Proposal for a Modified Staging.International journal of women's health · 2024Article
- Nomogram Predicting Locally Advanced Prostate Cancer in Patients with Clinically Organ-Confined Disease Who Underwent Robot-Assisted Radical Prostatectomy: A Retrospective Multicenter Cohort Study in Japan (The MSUG94 Group).Annals of surgical oncology · 2023Article
- Machine learning was used to predict risk factors for distant metastasis of pancreatic cancer and prognosis analysis.Journal of cancer research and clinical oncology · 2023Article
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6 authors.
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Abstract
Purpose: The lung is the most common distant metastatic organ in patients with endometrial cancer (EC) but is rarely reported. This study examines the association between clinical characteristics and overall survival (OS) in EC with lung metastasis. Methods: Patients with EC who had accompanying lung metastasis were selected from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2017. Univariate and multivariate Cox regression were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) and assess OS outcomes related to EC with lung metastasis. A Cox proportional hazards nomogram model for OS was constructed and validated. The calibration plot, receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the discriminative ability and clinical benefit of the novel nomogram. Kaplan-Meier curves and scatter diagram analysis were used to investigate the risk stratifications of the nomogram. Results: Overall, 1542 EC patients with lung metastasis between 2010 and 2017 were included and randomly divided into training and validation cohorts. A nomogram model was constructed using the clinical characteristics of tumor grade, histological type, surgery, adjuvant chemotherapy, adjuvant radiation, brain metastasis and liver metastasis. The concordance indexes (C-indexes) were 0.750 (95% CI, 0.732-0.767) and 0.743 (95% CI, 0.719-0.767) for the training cohort and validation cohort, respectively. Calibration plots and DCA showed good clinical applicability of the nomogram. The areas under the curves (AUCs) were 0.803 and 0.766 for 1-year and 3-year OS, respectively, indicating that the nomogram model had a stable discriminative ability. An online calculator of our nomogram is available on the internet at https://endometrialcancer.shinyapps.io/DynNomapp/. Additionally, patients in the high-risk group had a significantly worse OS than those in the low-risk group. Conclusion: An easy-to-use, highly accurate nomogram was developed for predicting the prognosis of EC patients with lung metastasis.
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