2023 World Conference on Lung Cancer (Posters)-P1.27. Construction of Postoperative Prediction Model Based on the New IASLC Grading System for Early Stage Lung Adenocarcinoma

P1.27. Construction of Postoperative Prediction Model Based on the New IASLC Grading System for Early Stage Lung Adenocarcinoma - PDF(Abstract)

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This study investigated the associations between a new pathological grading system for invasive lung adenocarcinoma (LADC) and clinical characteristics and driver gene status. The study aimed to construct a postoperative prognosis model for early-stage LADC and explore the value of postoperative adjuvant therapy. Clinical data and survival status of 670 patients with invasive LADC who underwent complete resection were collected. The patients were reclassified according to the new grading system, and the correlations between clinical features, driver gene status, and the new grading system were analyzed. Prognostic factors for recurrence-free survival (RFS) and overall survival (OS) were identified using univariate and multivariate Cox regression analysis, and prognostic nomograms and prediction models were constructed. The results showed that the high pathological grade was associated with male patients, older age, smoking history, later stage disease, visceral pleural invasion, lymphovascular invasion, and higher levels of preoperative CEA. Different gene mutations were associated with different pathological grades. The new grading system, tumor stage, gender, VPI, and LVI were independent prognosis factors for both RFS and OS. Preoperative CEA level was an independent factor for RFS. Nomograms of recurrence and death were constructed based on these factors, and the models had high predictive accuracy. The new grading system was found to be the most important factor in predicting recurrence and death. Additionally, adjuvant therapy was shown to significantly improve RFS in stage IB LADC patients with high pathological grade. The study concluded that the new IASLC grading system, tumor stage, gender, VPI, and LVI were independent predictors of RFS and OS, and emphasized the importance of the new grading system in predicting prognosis and the potential value of postoperative adjuvant therapy in selected patients.

Asset Subtitle

Hong Jiang

Meta Tag

Speaker Hong Jiang

Topic Early-Stage NSCLC: Innovation & New Technology

Keywords

pathological grading system

invasive lung adenocarcinoma

clinical characteristics

driver gene status

postoperative prognosis model

early-stage LADC

postoperative adjuvant therapy

recurrence-free survival

overall survival

prognostic factors