Wan Renrui, Wang Junfeng, Xie Ping, Wu Xiaochang, Guo Kun
Department of Hepatobiliary Surgery, Huzhou Central Hospital (The Affiliated Central Hospital of Huzhou Teachers College, The Fifth School of Clinical Medicine, Zhejiang Chinese Medical University, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine) Huzhou 313000, Zhejiang, P. R. China.
Department of Hepatobiliary Surgery, The Fourth Affiliated Hospital of Zhejiang University School of Medicine Yiwu 322000, Zhejiang, P. R. China.
Am J Cancer Res. 2025 Aug 15;15(8):3546-3556. doi: 10.62347/HTDK5833. eCollection 2025.
To investigate the clinical characteristics, diagnostic methods, treatment strategies and prognostic factors of pancreatic neuroendocrine tumors (pNETs).
A retrospective analysis was conducted on 43 pNET patients treated at Huzhou Central Hospital from January 2003 to December 2023. The data included age, gender, function, tumor location, tumor size, pathological characteristics, lymph nodes, metastasis, and treatment. Association of these factors with pNET prognosis was proven by univariate analysis and multivariate analysis.
The incidence of G3 tumors in this group of advanced patients was relatively high (P=0.001). Meanwhile, elevated CA125 was commonly seen in the advanced stage (P=0.045), and surgeries occurred more frequently in the early stage (P=0.003). In addition, the positive expression of CD56 in low-grade tumors was relatively high (P=0.014). The incidence of non-functional tumors larger than 2 cm was high (P=0.015). Univariate Cox regression revealed that tumor size >2 cm, G3 grade, liver metastasis, advanced stage, lymph node metastasis and invasion were risk factors. Multivariate analysis revealed that G3 grade, liver metastasis and advanced stage were independent influencing factors for disease progression.
pNETs are heterogeneous tumors. Pathological grade, metastatic status, and serological markers may assist in diagnosis and prognosis assessment, aiding individualized clinical management.
探讨胰腺神经内分泌肿瘤（pNETs）的临床特征、诊断方法、治疗策略及预后因素。
对2003年1月至2023年12月在湖州市中心医院接受治疗的43例pNET患者进行回顾性分析。数据包括年龄、性别、功能、肿瘤位置、肿瘤大小、病理特征、淋巴结、转移情况及治疗情况。通过单因素分析和多因素分析验证这些因素与pNET预后的相关性。
该组晚期患者中G3肿瘤的发生率相对较高（P=0.001）。同时，晚期患者中CA125升高较为常见（P=0.045），而手术在早期更为频繁（P=0.003）。此外，低级别肿瘤中CD56的阳性表达相对较高（P=0.014）。大于2 cm的无功能肿瘤发生率较高（P=0.015）。单因素Cox回归显示，肿瘤大小>2 cm、G3分级、肝转移、晚期、淋巴结转移及侵犯是危险因素。多因素分析显示，G3分级、肝转移和晚期是疾病进展的独立影响因素。
pNETs是异质性肿瘤。病理分级、转移状态及血清学标志物可能有助于诊断和预后评估，辅助个体化临床管理。
