Nomogram prediction of overall survival in patients with bone metastases from hepatocellular carcinoma: a SEER-based retrospective cohort study

Abstract This study aimed to construct a nomogram for predicting overall survival in patients with bone metastases (BM) from hepatocellular carcinoma (HCC), leveraging data from the Surveillance, Epidemiology, and End Results (SEER) database spanning the period from 2010 to 2015. The patient cohort...

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Main Authors: Qingliang Song, Yilin Kong, Chuiyang Zheng, Dajin Pi, Wen Fan, Jianwei Zhen, Jinyue Pan, Lianghao Liu, Siyuan Huang, Fangyu Zhou, Qinhe Yang, Yupei Zhang, Maoxing Pan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-06665-8
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Summary:Abstract This study aimed to construct a nomogram for predicting overall survival in patients with bone metastases (BM) from hepatocellular carcinoma (HCC), leveraging data from the Surveillance, Epidemiology, and End Results (SEER) database spanning the period from 2010 to 2015. The patient cohort was randomly partitioned into a training set (n = 338) and a validation set (n = 145). Kaplan–Meier analysis and multivariate Cox proportional hazards regression identified marital status, liver surgery, and radiotherapy/chemotherapy as significant prognostic factors (P ≤ 0.05), which were subsequently integrated into the nomogram. The nomogram exhibited a concordance index of 0.72 (95% confidence interval: 0.70–0.75) and demonstrated robust calibration between predicted and observed survival rates. This nomogram has the potential to accurately forecast prognosis and assist clinicians in formulating appropriate treatment strategies for patients with HCC bone metastasis.
ISSN:2045-2322