Abstract
Purpose: In this study, we aimed to evaluate the potential of routine blood markers, serum tumour markers and their combination in predicting RECIST-defined progression in patients with stage IV non-small cell lung cancer (NSCLC) undergoing treatment with immune checkpoint inhibitors. Methods: We employed time-varying statistical models and machine learning classifiers in a Monte Carlo cross-validation approach to investigate the association between RECIST-defined progression and blood markers, serum tumour markers and their combination, in a retrospective cohort of 164 patients with NSCLC. Results: The performance of the routine blood markers in the prediction of progression free survival was moderate. Serum tumour markers and their combination with routine blood markers generally improved performance compared to routine blood markers alone. Elevated levels of C-reactive protein (CRP) and alkaline phosphatase (ALP) ranked as the top predictive routine blood markers, and CYFRA 21.1 was consistently among the most predictive serum tumour markers. Using these classifiers to predict overall survival yielded moderate to high performance, even when cases of death-defined progression were excluded. Performance varied across the treatment journey. Conclusion: Routine blood tests, especially when combined with serum tumour markers, show moderate predictive value of RECIST-defined progression in NSCLC patients receiving immune checkpoint inhibitors. The relationship between overall survival and RECIST-defined progression may be influenced by confounding factors.
Original language | English |
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Article number | 329 |
Journal | Journal of Cancer Research and Clinical Oncology |
Volume | 150 |
Issue number | 6 |
Number of pages | 10 |
ISSN | 0171-5216 |
DOIs | |
Publication status | Published - Jun 2024 |
Bibliographical note
Publisher Copyright:© The Author(s) 2024.
Keywords
- Blood-based markers
- Immunotherapy
- Machine learning
- NSCLC
- Progression-free survival
- RECIST