Two distinct age-prognosis patterns in patients with esophageal cancer undergoing surgical and radiotherapy treatments: a combined analysis of 3JECROG and SEER databases
Autor: | Chen Li, Xiao Chang, Qifeng Wang, Qingsong Pang, Zefen Xiao, Wencheng Zhang, Zhiyong Yuan |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2024 |
Předmět: | |
Zdroj: | Therapeutic Advances in Medical Oncology, Vol 16 (2024) |
Druh dokumentu: | article |
ISSN: | 1758-8359 17588359 |
DOI: | 10.1177/17588359241261009 |
Popis: | Background: Age is a known prognostic factor for various cancers. However, few studies explored the association between age and prognosis of esophageal cancer (EC) comprehensively, especially from a nonlinear perspective. Design: Retrospective cohort study. Objectives: Our study aims to explore the possible nonlinear associations between age and prognosis in EC patients receiving curative surgery and radiotherapy, respectively. Methods: Cox regression models with restricted cubic splines were used to model the possible nonlinear relationship between age and prognosis in surgical and radiotherapy groups, respectively. Surveillance, Epidemiology, and End Results database was used to validate the age-prognosis patterns found in Jing-Jin-Ji Esophageal and Esophagogastric Cancer Radiotherapy Oncology Group database. Age-prognosis patterns were further validated by survival comparisons between different age subgroups and in subsequent sensitivity and subgroup analyses. Primary endpoint is overall survival. Secondary endpoints are cancer-specific survival and progression-free survival. Results: A total of 56,457 patients from two large cancer databases were included. Patients receiving surgery and radiotherapy showed two distinct nonlinear age-prognosis patterns. Age showed a U-/J-shaped association with prognosis in the radiotherapy group, with a nadir at approximately 65- to 70-years-old. As for surgical cohort, relative risk for all-cause mortality and cancer-specific mortality increased with age with p for nonlinearity |
Databáze: | Directory of Open Access Journals |
Externí odkaz: |