PURPOSE: To evaluate the clinical-pathological and prognostic significance of the circulating PD-L1 level in patients with surgically treated NSCLC, by combining data for PD-L1 expression with other immune-related markers and tumor metabolism. METHODS: Overall, 40 patients with resected NSCLC (stage Ia-IIIa) who had preoperative blood storage and underwent staging PET/CT were enrolled for the study. In all cases, we determined plasma levels of PD-L1 (pg/ml), immune-reactive areas (IRA %) covered by CD3, CD68, CD20, CD8, PD-1, and PD-L1 in the tumor specimen, and metabolic parameters on PET, i.e., SUV(max), SUV(peak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG). Variables were statistically analyzed to establish their association with disease-free survival (DFS). RESULTS: The circulating levels of PD-L1 in the bloodstream could be determined in 38/40 (95%) samples. The mean and median expression levels were 34.86 pg/ml and 24.83 pg/ml, respectively. We did not find any statistically significant correlation between circulating PD-L1 and tissue expression of PD-L1/PD-1. Some mild degree of positive correlation was determined between tissue PD-L1 and SUV(max) (Ïâ=â0.390; pâ=â0.0148). Hierarchical clustering combining circulating, tissue, and metabolic parameters identified clusters with high metabolic tumor burden or high expression of plasma PD-L1 levels (Z scoreââ¥â2) as having a poor DFS (pâ=â0.033). The multivariate analysis detected stage and metabolism (i.e., SUV(max) and SUV(peak)) as independent prognostic factors for DFS. CONCLUSION: Plasma levels of PD-L1 are independent of the expression of PD-1/PD-L1 in NSCLC tumor tissue and, when combined with other clinical-pathological parameters, allow for the identification of clusters with different outcomes.
Independent expression of circulating and tissue levels of PD-L1: correlation of clusters with tumor metabolism and outcome in patients with non-small cell lung cancer.
PD-L1 循环和组织水平的独立表达:簇与非小细胞肺癌患者的肿瘤代谢和预后的相关性
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作者:Grizzi Fabio, Castello Angelo, Qehajaj Dorina, Toschi Luca, Rossi Sabrina, Pistillo Daniela, Paleari Valentina, Veronesi Giulia, Novellis Pierluigi, Monterisi Simona, Mineri Rossana, Rahal Daoud, Lopci Egesta
| 期刊: | Cancer Immunology Immunotherapy | 影响因子: | 5.100 |
| 时间: | 2019 | 起止号: | 2019 Sep;68(9):1537-1545 |
| doi: | 10.1007/s00262-019-02387-9 | 研究方向: | 代谢、细胞生物学、肿瘤 |
| 疾病类型: | 肺癌 | ||
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