Development and external validation of a dynamic nomogram to predict the survival for adenosquamous carcinoma of the pancreas.

Development and external validation of a dynamic nomogram to predict the survival for adenosquamous carcinoma of the pancreas.
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动态列线图的开发和外部验证用于预测胰腺腺鳞癌的生存。

DOI:
10.3389/fonc.2022.927107
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发表时间:
2022
影响因子:
4.7
通讯作者:
Wang, Zheng
Wang, Zheng
中科院分区:
医学3区
文献类型:
--
作者:
Ren, Chao;Ma, Yifei;Jin, Jiabin;Ding, Jiachun;Jiang, Yina;Wu, Yinying;Li, Wei;Yang, Xue;Han, Liang;Ma, Qingyong;Wu, Zheng;Shi, Yusheng;Wang, Zheng

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我们的目的是建立一个诺模图来预测胰腺腺鳞癌(ASCP)的生存和预后。胰腺腺鳞癌(ASCP)是胰腺外分泌肿瘤的一种相对罕见的组织学亚型。据报道,ASCP的生存率低于胰腺癌(PDAC)。预测ASCP的预后具有重要意义。来自国家癌症研究所的监测、流行病学和最终结果(SEER)计划数据库的组织学证实的ASCP患者最终被招募并被分成开发和内部验证队列。此外,来自中国的70例患者的多中心队列被注册为外部验证。基于多变量分析中确定的ASCP的独立预测因素,开发了列线图。最终纳入了来自SEER的233例患者。单因素和多因素分析显示,肿瘤大小、放疗、化疗和淋巴结转移率(LNR)是独立的预后指标。我们根据这四个参数建立了列线图。发育队列列线图的C指数为0.696。通过分析不同队列的曲线下面积(AUC),我们观察到,在开发和验证队列中,诺模图对1年和2年总生存期(OS)的预测效力优于美国癌症联合委员会(AJCC)TNM(第8期)分期系统。外部验证证实,1年生存率为67.2% vs. 29.7%,与内部队列分析相似。诺模图对ASCP的生存期有较好的预测作用。它可以帮助外科医生做出临床决策并制定进一步的计划。
We aimed to develop a nomogram to predict the survival and prognosis of adenosquamous carcinoma of the pancreas (ASCP). Adenosquamous carcinoma of the pancreas (ASCP) is a relatively rare histological subtype of pancreatic exocrine neoplasms. It was reported a worse survival in ASCP than in pancreatic adenocarcinoma (PDAC). Prediction of ASCP prognosis is of great importance. Histologically confirmed ASCP patients from the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) Program database were finally enrolled and divided into development and internal validation cohorts. Moreover, a multi-center cohort of 70 patients from China was registered as the external validation. A nomogram was developed based on independent predictors of ASCP determined in multivariable analysis. A total of 233 patients from SEER were finally included. Univariate and Multivariate analysis showed that tumor size, radiotherapy, chemotherapy, and lymph node ratio (LNR) were considered the independent prognostic indicators. We developed a nomogram according to these four parameters. The C index of the nomogram in the development cohort was 0.696. Through analysis of the area under the curve (AUC) of the different cohorts, we observed that the predictive efficacy of the nomogram for 1-, and 2-year overall survival (OS) were better than those of the American Joint Committee on Cancer (AJCC) TNM (8th) staging system both in the development and validation cohort. External validation confirmed that 1-year survival is 67.2% vs. 29.7%, similar to the internal cohort analysis. The nomogram showed good performance in predicting the survival of ASCP. It could help surgeons to make clinical decisions and develop further plans.
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