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Background: The relationship between postoperative long-term prognosis and age in colorectal cancer patients remains controversial. The purpose of this study based on a Chinese CRC cohort is to determine the disparity in long-term survival outcomes between younger and older colorectal cancer (CRC) patients after surgery using a propensity score matching (PSM). Methods: Data for this study was derived from the CRC cohort of the Database from Colorectal Cancer (DACCA) at West China Hospital of Sichuan University from January 2007 to September 2022. The long‑term prognoses were compared between younger and older groups. Results: A total of 2374 CRC patients were evaluated in this study, including 1039 older patients and 1335 younger ones. After 1:1 ratio PSM, each group contained 784 CRC patients. There was no significant difference in baseline information after PSM (p < 0.05). Multivariate analysis showed that younger age was an independent predictor of better overall survival (OS) (p < 0.001, HR = 1.750, 95% CI = 1.407–2.177) and disease-specific survival (DSS) (p < 0.001, HR = 1.718, 95% CI = 1.369–2.157). In terms of different tumor pathological stages after PSM, in comparison to older group, younger group had better OS in stage II (p < 0.001), stage III (p = 0.0085), and stage IV (p = 0.0014) and better DSS in stage II (p = 0.0035), stage III (p = 0.0081), and stage IV (p < 0.001). Conclusion: Younger CRC patients have better prognosis than older CRC patients after surgery, especially, and have better OS and DSS in stages II, III, and IV CRC. Younger CRC patient may gain greater benefit from CRC resection and combined therapy. As for the cut-off age, it may be determined by a specific model suitable for local patients. [ABSTRACT FROM AUTHOR]

Background: Cholangiocarcinoma (CCA) is a highly malignant and easily metastatic bile duct tumor with poor prognosis. We aimed at studying the associated risk factors affecting distal metastasis of CCA and using nomogram to guide clinicians in predicting distal metastasis of CCA. Methods: Based on inclusion and exclusion criteria, 345 patients with CCA were selected from the Fifth Medical Center of Chinese PLA General Hospital and were divided into distal metastases (N = 21) and non-distal metastases (N = 324). LASSO regression models were used to screen for relevant parameters and to compare basic clinical information between the two groups of patients. Risk factors for distal metastasis were identified based on the results of univariate and multivariate logistic regression analyses. The nomogram was established based on the results of multivariate logistic regression, and we drawn the corresponding correlation heat map. The predictive accuracy of the nomogram was evaluated by receiver operating characteristic (ROC) curves and calibration plots. The utility of the model in clinical applications was illustrated by applying decision curve analysis (DCA), and overall survival(OS) analysis was performed using the method of Kaplan-meier. Results: This study identified 4 independent risk factors for distal metastasis of CCA, including CA199, cholesterol, hypertension and margin invasion, and developed the nomogram based on this. The result of validation showed that the model had significant accuracy for diagnosis with the area under ROC (AUC) of 0.882 (95% CI: 0.843-0.914). Calibration plots and DCA showed that the model had high clinical utility. Conclusions: This study established and validated a model of nomogram for predicting distal metastasis in patients with CCA. Based on this, it could guide clinicians to make better decisions and provide more accurate prognosis and treatment for patients with CCA. [ABSTRACT FROM AUTHOR]