<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(11)</volume><submitter>Gwin ME</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>In non-small cell lung cancer (NSCLC), programmed death-ligand 1 (PD-L1) expression has moderate ability to predict immune checkpoint inhibitor (ICI) benefit. In clinical practice, PD-L1, a cell surface protein, cannot be characterized in currently available blood-based tests such as circulating tumor DNA assays. To understand the biologic effects of PD-L1 more fully and evaluate whether blood-based tests could provide insight into its expression, we determined the association between PD-L1 expression and systemic immune parameters.&lt;h4>Methods&lt;/h4>We collected pre- and post-treatment (6-week) peripheral blood samples in patients with NSCLC treated with ICI. Using multiplex panels and cytometry by time of flight (CyTOF), we analyzed specimens for baseline and post-treatment changes in cytokines, autoantibodies, and immune cell populations. We determined the association between case characteristics, immune parameters, and tumor PD-L1 expression (categorized as &lt;1%, 1-49%, and ≥50%) using Chi-square, one-way analysis of variance (ANOVA), and Kruskal-Wallis tests, accounting for multiple comparisons.&lt;h4>Results&lt;/h4>A total of 119 patients were included in the analysis, of whom 41 (34%) had PD-L1 expression &lt;1%; 44 (37%), 1-49%; and 34 (29%), ≥50%. PD-L1 expression was not associated with any demographic, tumor, or treatment characteristics. Among 39 cytokines evaluated, baseline levels of macrophage migration inhibitory factor (MIF) were significantly greater in high PD-L1 positive cases. Among 124 autoantibodies included in the analysis, three (anti-aggrecan, -proteoglycan, and -nucleosome) demonstrated significantly greater post-ICI treatment increases in cases with higher PD-L1 expression. In PD-L1 positive cases, baseline abundance of natural killer T (NKT) cells (P=0.001) and activated monocytes (P=0.04) were significantly lower, while post-treatment increases in mature natural killer (NK) cells were significantly greater (P=0.006).&lt;h4>Conclusions&lt;/h4>NSCLC PD-L1 expression is associated with few systemic immune parameters, suggesting that effects on anti-tumor immunity may occur predominantly in the tumor microenvironment and that blood-based assays are unlikely to provide meaningful surrogates of this biomarker.</pubmed_abstract><journal>Translational lung cancer research</journal><pagination>4962-4972</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12683405</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Association of PD-L1 expression with systemic immune parameters in non-small cell lung cancer.</pubmed_title><pmcid>PMC12683405</pmcid><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Xie Y</pubmed_authors><pubmed_authors>Gwin ME</pubmed_authors><pubmed_authors>Yang DM</pubmed_authors><pubmed_authors>Dowell JE</pubmed_authors><pubmed_authors>Gerber DE</pubmed_authors><pubmed_authors>Rashdan S</pubmed_authors><pubmed_authors>Mu-Mosley H</pubmed_authors><pubmed_authors>Park JY</pubmed_authors><pubmed_authors>von Itzstein MS</pubmed_authors><pubmed_authors>Fattah FJ</pubmed_authors><pubmed_authors>Bhalla S</pubmed_authors><pubmed_authors>SoRelle JA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Association of PD-L1 expression with systemic immune parameters in non-small cell lung cancer.</name><description>&lt;h4>Background&lt;/h4>In non-small cell lung cancer (NSCLC), programmed death-ligand 1 (PD-L1) expression has moderate ability to predict immune checkpoint inhibitor (ICI) benefit. In clinical practice, PD-L1, a cell surface protein, cannot be characterized in currently available blood-based tests such as circulating tumor DNA assays. To understand the biologic effects of PD-L1 more fully and evaluate whether blood-based tests could provide insight into its expression, we determined the association between PD-L1 expression and systemic immune parameters.&lt;h4>Methods&lt;/h4>We collected pre- and post-treatment (6-week) peripheral blood samples in patients with NSCLC treated with ICI. Using multiplex panels and cytometry by time of flight (CyTOF), we analyzed specimens for baseline and post-treatment changes in cytokines, autoantibodies, and immune cell populations. We determined the association between case characteristics, immune parameters, and tumor PD-L1 expression (categorized as &lt;1%, 1-49%, and ≥50%) using Chi-square, one-way analysis of variance (ANOVA), and Kruskal-Wallis tests, accounting for multiple comparisons.&lt;h4>Results&lt;/h4>A total of 119 patients were included in the analysis, of whom 41 (34%) had PD-L1 expression &lt;1%; 44 (37%), 1-49%; and 34 (29%), ≥50%. PD-L1 expression was not associated with any demographic, tumor, or treatment characteristics. Among 39 cytokines evaluated, baseline levels of macrophage migration inhibitory factor (MIF) were significantly greater in high PD-L1 positive cases. Among 124 autoantibodies included in the analysis, three (anti-aggrecan, -proteoglycan, and -nucleosome) demonstrated significantly greater post-ICI treatment increases in cases with higher PD-L1 expression. In PD-L1 positive cases, baseline abundance of natural killer T (NKT) cells (P=0.001) and activated monocytes (P=0.04) were significantly lower, while post-treatment increases in mature natural killer (NK) cells were significantly greater (P=0.006).&lt;h4>Conclusions&lt;/h4>NSCLC PD-L1 expression is associated with few systemic immune parameters, suggesting that effects on anti-tumor immunity may occur predominantly in the tumor microenvironment and that blood-based assays are unlikely to provide meaningful surrogates of this biomarker.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-06-05T23:50:13.025Z</modification><creation>2026-05-23T03:13:41.309Z</creation></dates><accession>S-EPMC12683405</accession><cross_references><pubmed>41367556</pubmed><doi>10.21037/tlcr-2025-414</doi></cross_references></HashMap>