Prognostic Factors in Patients with Brain Metastases of Lung Adenocarcinoma with the Surveillance Epidemiology and End Results Database

Abstract

Background: The study aimed to distinguish the risk factors associated with overall survival (OS) of the patients suffering from lung adenocarcinoma (LACA) with brain metastases, and built a prognostic tool (nomogram) for these patients.

Methods: LACA patients with brain metastases between 2010 and 2013 were selected from the incidents collecting database i.e., SEER (Surveillance, Epidemiology, and End Results). Kaplan-Meier method along with the Cox regression model was used to assess the prognostic effect of each variable on the rate of survival. The nomogram was developed for the prediction of a 3-, 6- and 9-month OS rate.

Results: About 2631 LACA patients with brain metastases were included in this study. A nomogram was developed according to those variables that were considerably affecting the OS, followed by validating via internal bootstrap resampling method which revealed that the nomogram exhibited an appropriate power of discrimination.

Conclusions: The nomogram was able to predict a 3-, 6- and 9-month OS rate of patients suffering from LACA with brain metastases.