@Article{or.2026.077514,
AUTHOR = {Hyungkeun Cha, Yong Seok Lee, Gui Young Kwon, Boran Kim, Yeonsook Moon, Lucia Kim, Hae-Seong Nam},
TITLE = {Clinical Value of the Systemic Immune Inflammation Index and PD-L1 Expression in Advanced NSCLC Treated with Pembrolizumab: Real-World Preliminary Study},
JOURNAL = {Oncology Research},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/or/online/detail/26493},
ISSN = {1555-3906},
ABSTRACT = {<b>Objective:</b> Studies on the comprehensive utility of complete blood count-derived inflammatory biomarkers (CBC-IBs) as biomarkers in pembrolizumab-treated advanced non-small-cell lung cancer (NSCLC) are scarce. This study aimed to investigate the clinical relevance of a panel of CBC-IBs as potential predictive biomarkers and assess whether integrating the systemic immune-inflammation index (SII) with programmed death-ligand 1 (PD-L1) expression could overcome the limitations of PD-L1 as a standalone predictive biomarker. <b>Methods:</b> Our real-world preliminary study was conducted on a cohort of patients with advanced NSCLC. Patients who had undergone PD-L1 immunohistochemistry testing at the time of diagnosis, and had completed at least three cycles of pembrolizumab were included. The CBC-IBs analyzed in this study were calculated using absolute cell counts of neutrophils, lymphocytes, monocytes, and platelets. <b>Results:</b> A total of 102 patients were included. Low baseline SII was significantly associated with superior progression-free survival (PFS) (<i>p</i> = 0.031) and overall survival (OS) (<i>p</i> = 0.004). In multivariate analysis, SII emerged as the strongest independent predictor for OS among all evaluated CBC-IBs. Furthermore, patients with a combination of low SII and high PD-L1 expression demonstrated the most favorable survival outcomes. <b>Conclusion:</b> Although further prospective and multicenter studies are needed to validate the generalizability of our findings, the clinical implication is that the use of pretreatment SII and/or PD-L1 expression values may predict therapeutic outcomes and assist in optimizing individualized treatment strategies for patients with advanced NSCLC.},
DOI = {10.32604/or.2026.077514}
}