2023 World Conference on Lung Cancer (Posters)-EP01.01. Prognostic Analysis and Nomogram Establishment of Synchronous Dual Primary Lung Cancer: Based on Multicenter Data

EP01.01. Prognostic Analysis and Nomogram Establishment of Synchronous Dual Primary Lung Cancer: Based on Multicenter Data - PDF(Slides)

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Synchronous dual primary lung cancer (sDPLC) is a common form of multiple primary lung cancer, but the optimal treatment for this condition is still uncertain. The purpose of this study was to establish and validate a prognostic prediction model for sDPLC using multicenter data, in order to provide guidance for its treatment. The study collected information on 719 sDPLC patients from the Surveillance, Epidemiology, and End Results (SEER) database as training sets, and 164 patients from two local centers as validation sets. Through multivariate cox regression analysis, the researchers identified gender, age group, and histological type as factors that contribute to the risk of sDPLC. A risk score was developed based on these factors. The study found that there was a significant difference in survival probability between high and low-risk groups in both the training set and the validation set. The model's predictive performance was assessed using ROC curve analysis, and the area under the curve (AUC) was 0.65 in the training set and 0.855 in the validation set. To further improve the model, the researchers used data from the two local centers and developed a nomogram based on the results of multivariate cox regression. This improved the predictive power of the model to 0.90 and made it more applicable in clinical practice. Overall, the study developed a risk prediction model for sDPLC based on public database data, identified factors that affect prognosis, and validated and enhanced the model using local multicenter data. This research provides valuable insights for the diagnosis and treatment of sDPLC.

Asset Subtitle

Haoshuai Yang

Meta Tag

Speaker Haoshuai Yang

Topic Risk Factors, Risk Reduction & Tobacco Control

Keywords

Synchronous dual primary lung cancer

Multiple primary lung cancer

Optimal treatment

Prognostic prediction model

Multicenter data

Surveillance, Epidemiology, and End Results (SEER) database

Risk factors

Survival probability

ROC curve analysis

Nomogram