Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer

Author:

Liu Mengmei,Yan Guanghong,Li Yanli,You Ruiming,Liu Lizhu,Zhang Dafu,Yang Guangjun,Dong Xingxiang,Ding Yingying,Yan Shan,You Dingyun,Li Zhenhui

Abstract

Abstract Background The correlation between the preoperative splenic area measured on CT scans and the overall survival (OS) of early-stage non-small cell lung cancer (NSCLC) patients remains unclear. Methods A retrospective discovery cohort and validation cohort consisting of consecutive NSCLC patients who underwent resection and preoperative CT scans were created. The patients were divided into two groups based on the measurement of their preoperative splenic area: normal and abnormal. The Cox proportional hazard model was used to analyse the correlation between splenic area and OS. Results The discovery and validation cohorts included 2532 patients (1374 (54.27%) males; median (IQR) age 59 (52–66) years) and 608 patients (403 (66.28%) males; age 69 (62–76) years), respectively. Patients with a normal splenic area had a 6% higher 5-year OS (n = 727 (80%)) than patients with an abnormal splenic area (n = 1805 (74%)) (p = 0.007) in the discovery cohort. A similar result was obtained in the validation cohort. In the univariable analysis, the OS hazard ratios (HRs) for the patients with abnormal splenic areas were 1.32 (95% confidence interval (CI): 1.08, 1.61) in the discovery cohort and 1.59 (95% CI: 1.01, 2.50) in the validation cohort. Multivariable analysis demonstrated that abnormal splenic area was independent of shorter OS in the discovery (HR: 1.32, 95% CI: 1.08, 1.63) and validation cohorts (HR: 1.84, 95% CI: 1.12, 3.02). Conclusion Preoperative CT measurements of the splenic area serve as a prognostic indicator for early-stage NSCLC patients, offering a novel metric with potential implications for personalized therapeutic strategies in top-tier oncology research.

Funder

Yunnan Digitalization, Development and Application of Biotic Resource

National Natural Scientific Foundation of China

Outstanding Youth Science Foundation of Yunnan Basic Research Project

National Science Fund for Distinguished Young Scholars

Key Science Foundation of Yunnan Basic Research

Science Foundation of Yunnan Basic Research

Innovation Team of Kunming Medical University

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Oncology,General Medicine,Radiological and Ultrasound Technology

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