Ren Ying, Wang Shicheng, Wu Bo, Wang Zhan
Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Orthopedics Research Institute of Zhejiang University, Hangzhou, China.
Front Oncol. 2022 Feb 9;12:759403. doi: 10.3389/fonc.2022.759403. eCollection 2022.
The purpose of this study is to reveal the clinicopathological features and identify risk factors of prognosis among patients with pancreatic cancer bone metastasis (PCBM).
Patients with PCBM were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2016. Independent predictors for survival of those patients were determined by the univariate and multivariate Cox regression analysis. Forest plots were drawn by GraphPad 8.0.1 and used to visually display the results of multivariate analysis.
We identified 2072 eligible PCBM patients, of which 839 patients (40.5%) were female. Patients with age >60 years accounted for 70.6%. Multivariable Cox regression analysis indicated that age, pathological type, chemotherapy, liver metastasis, lung metastasis, and marital status were independent prognostic factors for both overall survival (OS) and cancer-specific survival (CSS). Kaplan-Meier survival curves showed that for patients with PCBM, age ≤60 years, non-ductal adenocarcinoma type, chemotherapy, no liver metastasis, no lung metastasis, and married status were correlated with increased survival. This population-based study showed that 1-year OS and CSS were 13.6% and 13.7%, respectively.
The present study identified six independent predictors of prognosis in PCBM, including age, pathological type, chemotherapy, liver metastasis, lung metastasis, and marital status. Knowledge of these survival predictors is helpful for clinicians to accelerate clinical decision process and design personalized treatment for patients with PCBM.
本研究旨在揭示胰腺癌骨转移（PCBM）患者的临床病理特征，并确定其预后的危险因素。
从2010年至2016年的监测、流行病学和最终结果（SEER）数据库中检索PCBM患者。通过单因素和多因素Cox回归分析确定这些患者生存的独立预测因素。使用GraphPad 8.0.1绘制森林图，用于直观展示多因素分析结果。
我们确定了2072例符合条件的PCBM患者，其中839例（40.5%）为女性。年龄>60岁的患者占70.6%。多因素Cox回归分析表明，年龄、病理类型、化疗、肝转移、肺转移和婚姻状况是总生存（OS）和癌症特异性生存（CSS）的独立预后因素。Kaplan-Meier生存曲线显示，对于PCBM患者，年龄≤60岁、非导管腺癌类型、化疗、无肝转移、无肺转移和已婚状态与生存率增加相关。这项基于人群的研究表明，1年OS和CSS分别为13.6%和13.7%。
本研究确定了PCBM预后的六个独立预测因素，包括年龄、病理类型、化疗、肝转移、肺转移和婚姻状况。了解这些生存预测因素有助于临床医生加快临床决策过程，并为PCBM患者设计个性化治疗方案。
