Clinical characteristics and prediction model of long-term survival of patients with stage III non-small cell lung cancer

BACKGROUND: The patients with stage III non-small cell lung cancer own a poor prognosis. We aimed to study the clinical characteristics of the patients with stage III non-small cell lung cancer and more than 5 years overall survival and establish a prognosis prediction model. METHODS: A total of 5792 patients were separated from the Surveillance, Epidemiology, and End Results database between 2011 and 2015. Cox regression was performed to select the predictors of overall survival. The validation of the nomogram was implemented by using the concordance index, calibration curves. Kaplan–Meier curves were used to illustrate and compare the overall survival of patients in different clinical characteristics. RESULTS: Multivariate analyses indicated factors such as age, sex, site, histology, grade, stage T, and N, surgical treatment were associated with prognosis. In the nomogram, we could predict the probability of overall survival for patients. The concordance index of the novel nomogram was 0.751. The calibration curves also showed good consistency in the probability of 5-year overall survival. The Kaplan-Meier curves showed that overall survival in the different age, sex, race, site, histology, grade, stage T and N, surgical treatment was accurately differentiated with a significantly statistical difference CONCLUSIONS: Patients with a highly differentiated adenocarcinoma and early stages of T and N who are less than 70 years of age and have an opportunity for surgery to undergo surgery have a higher five-year survival rate in patients with stage III non-small cell lung cancer.