Lu Guangrong, Lin Zijian, Ruan Yejiao, Huang He, Lin Jiafeng, Pan Jialin
Department of Gastroenterology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Department of Hematology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
J Oncol. 2022 Oct 27;2022:9636790. doi: 10.1155/2022/9636790. eCollection 2022.
Primary gastric diffuse large B-cell lymphoma (PG-DLBCL) is a common phenotype of extranodal non-Hodgkin's lymphoma (NHL). This research aims to identify a model for predicting overall survival (OS) and cancer-specific survival (CSS) in PG-DLBCL.
A total of 1716 patients diagnosed with PG-DLBCL between 1975 and 2017 were obtained from the SEER database and further randomly divided into the training and validating cohorts at a ratio of 7 : 3. Univariate and multivariate cox analyses were conducted to determine significant variables for the construction of nomogram. The performance of the model was then assessed by the concordance index (C-index), the calibration plot, and the area under the receiver operating characteristic (ROC) curve (AUC).
Multivariate analysis revealed that age, race, insurance status, Ann Arbor stage, marital status, chemotherapy, and radiation therapy all showed a significant association with OS and CSS. These characteristics were applied to build a nomogram. In the training cohort, the discrimination of nomogram for OS and CSS prediction was excellent (C-index = 0.764, 95% CI, 0.744-0.784 and C-index = 0.756, 95% CI, 0.732-0.780). The AUC of the nomogram for predicting 3- and 5-year OS was 0.779 and 0.784 and CSS was 0.765 and 0.772. Similar results were also observed in the internal validation set.
We have successfully established a novel nomogram for predicting OS and CSS in PG-DLBCL patients with good accuracy, which can help physicians to quickly and accurately complete the evaluation of survival probability, risk stratification, and therapeutic strategy at diagnosis.
原发性胃弥漫性大B细胞淋巴瘤（PG-DLBCL）是结外非霍奇金淋巴瘤（NHL）的常见表型。本研究旨在确定一种预测PG-DLBCL总生存期（OS）和癌症特异性生存期（CSS）的模型。
从监测、流行病学和最终结果（SEER）数据库中获取1975年至2017年间共1716例诊断为PG-DLBCL的患者，并进一步按7∶3的比例随机分为训练队列和验证队列。进行单因素和多因素cox分析以确定用于构建列线图的显著变量。然后通过一致性指数（C指数）、校准图和受试者操作特征（ROC）曲线下面积（AUC）评估模型的性能。
多因素分析显示，年龄、种族、保险状况、Ann Arbor分期、婚姻状况、化疗和放疗均与OS和CSS显著相关。这些特征被用于构建列线图。在训练队列中，列线图对OS和CSS预测的区分度极佳（C指数=0.764，95%CI，0.744-0.784；C指数=0.756，95%CI，0.732-0.780）。列线图预测3年和5年OS的AUC分别为0.779和0.784，预测CSS的AUC分别为0.765和0.772。在内部验证集中也观察到了类似结果。
我们成功建立了一种用于预测PG-DLBCL患者OS和CSS的新型列线图，准确性良好，可帮助医生在诊断时快速准确地完成生存概率评估、风险分层和治疗策略制定。
