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Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis

Junxian Wu, Linbin Lu, Hong Chen, Yihong Lin, Huanlin Zhang, Enlin Chen, Weiwei Lin, Jie Li, Xi Chen

2021International Journal of Colorectal Disease24 citationsDOIOpen Access PDF

Abstract

PURPOSE: The present study aimed to identify independent clinicopathological and socio-economic prognostic factors associated with overall survival of early-onset colorectal cancer (EO-CRC) patients and then establish and validate a prognostic nomogram for patients with EO-CRC. METHODS: Eligible patients with EO-CRC diagnosed from 2010 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into a training cohort and a testing cohort. Independent prognostic factors were obtained using univariate and multivariate Cox analyses and were used to establish a nomogram for predicting 3- and 5-year overall survival (OS). The discriminative ability and calibration of the nomogram were assessed using C-index values, AUC values, and calibration plots. RESULTS: In total, 5585 patients with EO-CRC were involved in the study. Based on the univariate and multivariate analyses, 15 independent prognostic factors were assembled into the nomogram to predict 3- and 5-year OS. The nomogram showed favorable discriminatory ability as indicated by the C-index (0.840, 95% CI 0.827-0.850), and the 3- and 5-year AUC values (0.868 and 0.84869 respectively). Calibration plots indicated optimal agreement between the nomogram-predicted survival and the actual observed survival. The results remained reproducible in the testing cohort. The C-index of the nomogram was higher than that of the TNM staging system (0.840 vs 0.804, P < 0.001). CONCLUSION: A novel prognostic nomogram for EO-CRC patients based on independent clinicopathological and socio-economic factors was developed, which was superior to the TNM staging system. The nomogram could facilitate postoperative individual prognosis prediction and clinical decision-making.

Topics & Concepts

NomogramMedicineInternal medicineUnivariateColorectal cancerMultivariate analysisOncologyProportional hazards modelCohortUnivariate analysisPopulationSurvival analysisMultivariate statisticsCancerStatisticsMathematicsEnvironmental healthColorectal Cancer Surgical TreatmentsColorectal Cancer Screening and DetectionColorectal Cancer Treatments and Studies
Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis | Litcius