2024 World Conference on Lung Cancer (WCLC) - ePosters-EP.01A.04 Predictive Value of a Prognostic Model Based on Clinicopathologic Features in Lung Adenocarcinoma

EP.01A.04 Predictive Value of a Prognostic Model Based on Clinicopathologic Features in Lung Adenocarcinoma

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This study investigated the independent prognostic value of tumor spread through air spaces (STAS) in lung adenocarcinoma and aimed to develop a predictive model for survival outcomes. The study analyzed medical records from 2,144 patients with stage I to IIIA resectable lung adenocarcinoma who underwent surgery between 2015 and 2019. STAS was found in 43.4% of patients and, along with other factors such as adjuvant therapy, tumor stage, poorly differentiated tumors, lymphovascular invasion, and visceral pleural invasion, emerged as independent risk factors impacting prognosis.<br /><br />Through univariate and multivariate Cox regression analyses, these factors were identified as significant predictors of recurrence-free survival (RFS). The researchers developed a prognostic model incorporating these variables to estimate 1-year, 3-year, and 5-year RFS. The model's accuracy was demonstrated by a concordance index (C-index) of 0.858 in the internal validation cohort, indicating a strong predictive capability.<br /><br />The study concludes that the presence of STAS and other clinicopathologic factors are significantly associated with poorer prognosis in lung adenocarcinoma. The newly developed prognostic model successfully predicts RFS, providing a valuable tool for clinicians to better understand outcomes and potentially tailor treatment strategies for affected patients.

Asset Subtitle

Yilv Lv

Meta Tag

Speaker Yilv Lv

Topic Risk Factors, Risk Reduction & Tobacco Control

Keywords

lung adenocarcinoma

tumor spread through air spaces

STAS

prognostic model

recurrence-free survival

Cox regression analysis

clinicopathologic factors

concordance index

predictive capability

treatment strategies