Back to Search Start Over

Clinical factors associated with high PD-L1 expression in patients with early-stage non-small cell lung cancer.

Authors :
Ohara S
Suda K
Hamada A
Chiba M
Ito M
Shimoji M
Takemoto T
Soh J
Tsutani Y
Source :
Thoracic cancer [Thorac Cancer] 2024 Nov; Vol. 15 (31), pp. 2229-2234. Date of Electronic Publication: 2024 Sep 19.
Publication Year :
2024

Abstract

Background: Superior outcomes have been obtained for neoadjuvant treatment with immune checkpoint inhibitors (ICI) plus chemotherapy over neoadjuvant chemotherapy alone, especially in patients with high programmed cell death ligand 1 (PD-L1) expression. However, it is not always possible to obtain sufficient tumor specimens for biomarker testing before surgery. In this study, we explored clinical factors that can predict high PD-L1 expression.<br />Methods: We retrospectively enrolled 340 lung cancer patients who received pulmonary resection between 2014 and 2023 and who had PD-L1 expression data. Chi-squared tests and logistic regression analyses were used to identify clinical factors associated with high PD-L1 status.<br />Results: Univariable and multivariable analyses revealed that smoking, high maximum standardized uptake value (SUVmax) of 18F-fluorodeoxyglucose positron emission computed tomography (18F-FDG PET/CT), and high plasma fibrinogen are independent predictors of high PD-L1 expression. A predictive score for high PD-L1 expression (ranging from 0 to 3) was developed based on these parameters. Notably, only 5% of patients with a score of 0 exhibited high PD-L1 expression, whereas this proportion increased to 53% for patients with a score of 3.<br />Conclusion: These results showed that plasma fibrinogen, smoking history, and SUVmax are predictors of high PD-L1 expression, providing a basis for identifying patients expected to benefit from neoadjuvant ICI treatment.<br /> (© 2024 The Author(s). Thoracic Cancer published by John Wiley & Sons Australia, Ltd.)

Details

Language :
English
ISSN :
1759-7714
Volume :
15
Issue :
31
Database :
MEDLINE
Journal :
Thoracic cancer
Publication Type :
Academic Journal
Accession number :
39300829
Full Text :
https://doi.org/10.1111/1759-7714.15453