Tang Jiaxiang, Guo Yun, Lu Hongting, Fang Yifan, Chen Weiming
Department of Pediatric Surgery, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Department of Pediatric Surgery, Women and Children's Hospital Affiliated to Qingdao University, Qingdao, China.
Front Pediatr. 2025 Apr 17;13:1574034. doi: 10.3389/fped.2025.1574034. eCollection 2025.
Pulmonary metastasis (PM) is the most common site of distant metastasis in osteosarcoma (OS), particularly in pediatric cases, which are associated with poor prognosis. However, limited research has focused on identifying prognostic factors (PFs) for pediatric osteosarcoma with pulmonary metastasis (POPM). This study aims to identify clinical features and PFs of POPM and develop a validated nomogram to predict overall survival in POPM patients.
A retrospective analysis was conducted using OS cases from the Surveillance, Epidemiology, and End Results (SEER) database (2010-2021). Clinical characteristics were compared between patients with and without PM. PFs were identified using Least Absolute Shrinkage and Selection Operator (LASSO) regression and evaluated through Kaplan-Meier analysis. Patients were divided into training ( = 148) and validation ( = 64) cohorts. Independent PFs were determined via Cox regression to construct a prognostic nomogram, which was assessed using the concordance index (C-index), the area under the receiver operating characteristic curve (AUC-ROC), and calibration plots. Decision curve analysis (DCA) was used to evaluate clinical applicability.
LASSO regression identified key PFs: AJCC stage, T stage, median household income, systemic therapy, and time from diagnosis to treatment. Among these, all except T stage were validated as independent PFs via Cox regression. The nomogram demonstrated strong predictive accuracy with C-index values of 0.68 (training) and 0.71 (validation). AUC values for 1-, 3-, and 5-year survival were 0.786, 0.709, and 0.711 in the training cohort and 0.780, 0.760, and 0.776 in the validation cohort. Calibration plots showed excellent concordance between predicted and actual survival, and DCA confirmed the nomogram's clinical relevance.
AJCC stage, median household income, systemic therapy, and time from diagnosis to treatment are significant PFs for POPM survival. The validated nomogram provides a valuable tool for personalized prognostic assessment and treatment decision-making in clinical practice.
肺转移(PM)是骨肉瘤(OS)最常见的远处转移部位,在儿童病例中尤为如此,且与预后不良相关。然而,针对伴有肺转移的儿童骨肉瘤(POPM)预后因素(PFs)的研究有限。本研究旨在确定POPM的临床特征和PFs,并开发一个经过验证的列线图来预测POPM患者的总生存期。
使用监测、流行病学和最终结果(SEER)数据库(2010 - 2021年)中的OS病例进行回顾性分析。比较有和没有PM的患者的临床特征。使用最小绝对收缩和选择算子(LASSO)回归确定PFs,并通过Kaplan - Meier分析进行评估。将患者分为训练队列(n = 148)和验证队列(n = 64)。通过Cox回归确定独立的PFs以构建预后列线图,并使用一致性指数(C指数)、受试者工作特征曲线下面积(AUC - ROC)和校准图进行评估。决策曲线分析(DCA)用于评估临床适用性。
LASSO回归确定了关键PFs:美国癌症联合委员会(AJCC)分期、T分期、家庭收入中位数、全身治疗以及从诊断到治疗的时间。其中,除T分期外,所有因素均通过Cox回归验证为独立的PFs。列线图显示出较强的预测准确性,训练队列的C指数值为0.68,验证队列的C指数值为0.71。训练队列中1年、3年和5年生存率的AUC值分别为0.786、0.709和0.711,验证队列中分别为0.780、0.760和0.776。校准图显示预测生存率与实际生存率之间具有良好的一致性,DCA证实了列线图的临床相关性。
AJCC分期、家庭收入中位数、全身治疗以及从诊断到治疗的时间是POPM生存的重要PFs。经过验证的列线图为临床实践中的个性化预后评估和治疗决策提供了有价值的工具。