Journal: Medicine
This study evaluated pretreatment laboratory and imaging parameters to predict the short- and long-term efficacy of immune checkpoint inhibitors (ICIs) in 137 advanced non-small cell lung cancer (NSCLC) patients.
Key independent predictors of objective response rate (ORR) included:
- CD4+ T-cell count
- Fibrinogen levels
- Mediastinal lymph node enlargement
The ORR prediction model demonstrated strong accuracy with an AUC of 0.838 and was validated through multiple analyses.
For overall survival (OS), significant prognostic factors were:
- Metastatic site
- Neutrophil-to-lymphocyte ratio
- CA125
- CYFRA 21-1
- Fibrinogen
- Pleural effusion
The survival prediction model showed robust performance with AUCs around 0.86 for 1- and 2-year OS and good calibration.
These comprehensive nomogram-based models, combining clinical, laboratory, and imaging data, provide effective tools to personalize immunotherapy strategies in advanced NSCLC.