Development and validation of a population-based prognostic nomogram for primary colorectal lymphoma patients

作者全名："Chen, Qian; Feng, Yang; Yang, Jiaxin; Liu, Rui"

作者地址："[Chen, Qian; Liu, Rui] Chongqing Med Univ, Dept Oncol, Affiliated Hosp 2, Chongqing, Peoples R China; [Feng, Yang; Yang, Jiaxin] Chongqing Med Univ, Dept Breast & Thyroid Surg, Affiliated Hosp 2, Chongqing, Peoples R China"

通信作者："Liu, R (通讯作者)，Chongqing Med Univ, Dept Oncol, Affiliated Hosp 2, Chongqing, Peoples R China."

来源：FRONTIERS IN ONCOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000880313800001

JCR分区：Q2

影响因子：4.7

年份：2022

卷号：12

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：primary colorectal lymphoma; overall survival; nomogram; SEER database; prognostic

摘要："BackgroundPrimary colorectal lymphoma (PCL) is a relatively rare cancer type, constituting 15%-20% of primary gastrointestinal lymphoma and <1% of all colorectal malignancies. Given its low incidence, standard guidelines for case management are not available. This large population-based study aims to construct a nomogram to predict survival outcomes and to help tailor individualised treatment decisions in patients with PCL. MethodsA retrospective cohort study of patients with PCL was developed using data registered in the Surveillance, Epidemiology, and End Results (SEER) database between 1990 and 2015. The prognostic nomogram was constructed using R software after univariate and multivariate Cox regression analyses. Cox regression models were assessed using the proportional hazards (PH) assumption. Kaplan-Meier survival analysis was used to analyze survival outcomes. The 1-, 3-, 5-, and 10-year area under the curve (AUC) values of ROC (receiver operating characteristic) curves, the concordance index (C-index), and calibration curves were calculated to verify the predictive performance of the nomogram. ResultsThe final nomogram included age, Ann Arbor stage, histology, location, marital status, and treatment, all of which had an important effect on overall survival (OS). The discrimination of the nomogram revealed good prognostic accuracy and clinical applicability as indicated by C-index values of 0.713 and 0.711 in the training and validation cohorts, respectively. Kaplan-Meier survival curves were significantly different for distinct conditions. ConclusionThis study developed and validated a six-factor nomogram for predicting PCL patient prognosis. This nomogram might be useful for risk stratification and making better individualised decisions for PCL patients."

基金机构：Chongqing Science and Health Joint medical scientific research project; China Postdoctoral Science Foundation; [2021MSXM283]; [2018M633329]

基金资助正文：Funding This work was supported in part by the Chongqing Science and Health Joint medical scientific research project (2021MSXM283) and China Postdoctoral Science Foundation funded project (2018M633329) for RL.