Related Experiment Video
Updated: Jun 10, 2025
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Identification of the Prognostic Factors for Synchronous Multiple Primary Lung Cancer Treated With Staged Bilateral
Hui Zhang1, Qiang Liu2, Lian Chen3
1Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Introduction:
Staged bilateral surgery is widely used to treat synchronous multiple primary lung cancer (SMPLC); however, the prognostic factors for survival outcomes remain unclear. This study aimed to identify prognostic factors and construct a predictive model for overall survival (OS) and recurrence-free survival (RFS) in patients with SMPLC who underwent staged bilateral surgery.
Methods:
The study included 256 patients diagnosed with SMPLC and treated with staged bilateral surgery at our hospital between January 2010 and July 2017. Multivariate Cox proportional-hazard regression was used to identify prognostic factors for OS and RFS. Additionally, a predictive model was constructed using time-dependent receiver operating characteristic curves.
Results:
Among the 256 patients, 10 (3.95%) succumbed to the disease and 24 (9.41%) experienced recurrence. Smoking (hazard ratio [HR]: 5.128; 95% confidence interval [CI]: 1.442-18.233; p = 0.012) and most advanced pathological TNM (pTNM) stage (II + III) (HR: 12.938; 95% CI: 2.650-63.176; p = 0.002) were identified as significant predictors of poor OS. A prognostic model was developed for predicting OS, with a 5-year area under the curve (AUC) of 0.854. Furthermore, most advanced pTNM stage (II + III) was associated with poor RFS (HR: 5.964; 95% CI: 2.669-13.327; p < 0.001), and the predictive model exhibited a 5-year AUC of 0.718 for RFS.
Conclusion:
This study revealed that smoking and most advanced pTNM stage were independent prognostic factors associated with poor OS in patients with bilateral SMPLC. Moreover, most advanced pTNM stage was also linked to unfavorable RFS. The developed predictive model demonstrated moderate prognostic performance for both OS and RFS.
