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(Abstract)

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This study aimed to establish a prognostic prediction model for synchronous dual primary lung cancer (sDPLC) based on multicenter data. The researchers collected patient information on sDPLC from the Surveillance, Epidemiology, and End Results (SEER) database as training sets and two local centers as validation sets. The model was constructed using multivariate cox regression and a nomogram was developed to improve the model. The results showed that gender, age group, and histological type were integrated to stratify the risk in the model. The survival probability was significantly different between high and low risk groups in both the training set and the validation set. The model's performance was assessed using the area under the curve (AUC) and had an AUC of 0.650 in the training set and 0.855 in the validation set. The model was further improved using richer data from the local centers and a nomogram was constructed based on the results of the regression analysis, increasing the predictive power of the model to 0.90. This model provides an important reference for the diagnosis and treatment of sDPLC. The study also included clinical characteristics of the patients included in the study, such as age, gender, histological type, tumor location, chemoradiotherapy, and lymph node involvement. Overall, this research contributes to understanding the risk factors and prognosis of sDPLC and can help guide treatment decisions.

Asset Subtitle

Haoshuai Yang

Meta Tag

Speaker Haoshuai Yang

Topic Risk Factors, Risk Reduction & Tobacco Control

Keywords

prognostic prediction model

synchronous dual primary lung cancer

multicenter data

validation sets

nomogram

risk stratification

survival probability

AUC

diagnosis

treatment