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.

BACKGROUND: The optimal timing of combined chemotherapy with radiotherapy for locally advanced nasopharyngeal carcinoma (LA-NPC) is undetermined. OBJECTIVE: This study aimed to compare the therapeutic efficacy of neoadjuvant chemotherapy (NACT) followed by radiotherapy (RT) and concurrent chemoradiotherapy (CCRT). METHODS: Five hundred and thirty-eight patients diagnosed with LA-NPC and treated with NACT + RT or CCRT alone were enrolled in the study. Restricted cubic spline regression (RCS) was used to determine the relationship between age and the hazard Ratio of death. A Kaplan-Meier analysis was performed to evaluate overall survival (OS) related to NACT + RT or CCRT alone. Cox proportional hazards models were used to adjust for potential confounding factors. RESULTS: Compared with the CCRT alone regimen, the NACT + RT regimen showed a significantly better OS rate with a 62% decreased risk of death in a subgroup of patients aged ⩾ 45 years (hazard ratio, HR: 0.38; 95% confidence interval, CI: 0.24–0.61). In patients aged < 45 years, the risk of death was significantly increased when NACT + RT was chosen compared with CCRT (HR: 4.10; 95% CI: 2.09–8.07). CONCLUSIONS: Age is a significant biomarker when selecting NACT + RT or CCRT alone in patients with advanced NPC.

Background Patients with early esophageal cancer (EC) receive individualized therapy based on their lymph node metastasis (LNM) and distant metastasis (DM) status; however, deficiencies in current clinical staging techniques and the issue of cost‐effectiveness mean LNM and DM often go undetected preoperatively. We aimed to develop three clinical models to predict the likelihood of LNM, DM, and prognosis in patients with early EC. Method The Surveillance, Epidemiology, and End Results database was queried for T1 EC patients from 2004 to 2015. Multivariable logistic regression and Cox proportional hazards models were used to recognize the risk factors of LNM and DM, predict overall survival (OS), and develop relevant nomograms. Receiver operating characteristic (ROC)/concordance index and calibration curves were used to evaluate the discrimination and accuracy of the three nomograms. Decision curve analyses (DCAs), clinical impact curves, and subgroups based on model scores were used to determine clinical practicability. Results The area under the curve of the LNM and DM nomograms were 0.668 and 0.807, respectively. The corresponding C‐index of OS nomogram was 0.752. Calibration curves and DCA showed an effective predictive accuracy and clinical applicability. In patients with T1N0M0 EC, surgery alone (p < 0.01) proved a survival advantage. Chemotherapy and radiotherapy indicated a better prognosis in the subgroup analysis for T1 EC patients with LNM or DM. Conclusions We created three nomograms to predict the likelihood of LNM, DM, and OS probability in patients with early EC using a generalizable dataset. These useful visual tools could help clinical physicians deliver appropriate perioperative care.

BACKGROUND AND PURPOSE: Intracranial aneurysms, a rare complication of radiation therapy, have been reported mainly in case reports or case series. We performed a multicenter, retrospective cohort study to investigate the characteristics of radiation-induced intracranial aneurysms.