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Establishment and validation of an AJCC stage- and histologic grade-based nomogram for pancreatic neuroendocrine tumors after surgical resection

机译:手术切除后胰腺神经内分泌肿瘤的基于AJCC分期和组织学分级的列线图的建立和验证

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Background: Development of an accurate model to predict prognosis for patients with pancreatic neuroendocrine tumors (P-NETs) after surgical resection is urgently needed. Methods: In the present study, we conducted Cox proportional hazards regression to identify critical prognostic factors for P-NETs by analyzing data from 2174 patients in the Surveillance, Epidemiology, and End Results (SEER) database. Based on the results of multivariate analysis, a novel nomogram was established. Finally, the novel nomogram for P-NETs was validated in a cohort of 81 patients from a Chinese institute. Results: In the multivariate analysis, age, tumor location, American Joint Committee on Cancer (AJCC) stage, histologic grade, lymph node ratio (LNR) and tumor size were independent risk factors for overall survival (OS) in P-NET patients who underwent radical resection. A nomogram consisting of age, sex, AJCC stage and histologic grade was found to have a concordance index (C-index) of 0.79 for OS in the SEER database, which was significantly higher than the C-index based on the AJCC stage, European Neuroendocrine Tumor Society (ENETS) stage or histologic grade alone. In the validation cohort, the C-index based on the nomogram reached 0.78 for OS. We also defined high-risk (total points 13.5 based on the nomogram) and low-risk populations (total points 13.5 based on the nomogram) in the validation cohort. We found that the actual 5-year recurrence rate in the high-risk group was significantly higher than that in the low-risk group (80.8% vs 23.4%, P 0.001). Kaplan-Meier analysis showed that the 5-year recurrence-free survival (RFS) in the low-risk group was significantly higher than that in the high-risk group ( P 0.001). Conclusion: An AJCC stage- and histologic grade-based model was found to be extremely efficient in predicting survival for patients with P-NETs after surgical resection and deserves further evaluation for future clinical applications.
机译:背景:迫切需要开发一种准确的模型来预测胰腺神经内分泌肿瘤(P-NET)患者的手术后预后。方法:在本研究中,我们通过分析来自监测,流行病学和最终结果(SEER)数据库中的2174例患者的数据,进行了Cox比例风险回归以鉴定P-NET的关键预后因素。基于多变量分析的结果,建立了一种新的列线图。最后,在来自中国机构的81位患者的队列中验证了新颖的P-NET列线图。结果:在多因素分析中,年龄,肿瘤位置,美国癌症联合委员会(AJCC)分期,组织学等级,淋巴结比率(LNR)和肿瘤大小是P-NET患者总体生存(OS)的独立危险因素进行根治性切除在SEER数据库中,由年龄,性别,AJCC分期和组织学分级组成的列线图的OS一致性指数(C-index)为0.79,明显高于基于AJCC分期的C-指数,欧洲神经内分泌肿瘤学会(ENETS)阶段或组织学等级。在验证队列中,对于OS,基于列线图的C指数达到0.78。我们还在验证队列中定义了高风险人群(基于列线图的总积分> 13.5)和低风险人群(基于列线图的总积分<13.5)。我们发现高风险组的实际5年复发率显着高于低风险组(80.8%对23.4%,P <0.001)。 Kaplan-Meier分析显示,低风险组的5年无复发生存率(RFS)明显高于高风险组(P <0.001)。结论:发现基于AJCC分期和组织学分级的模型在预测P-NETs手术切除后的存活率方面非常有效,值得进一步评估,以备将来临床应用。

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