4.5 Article

Soluble PD-L1 and Circulating CD8+PD-1+and NK Cells Enclose a Prognostic and Predictive Immune Effector Score in Immunotherapy Treated NSCLC patients

期刊

LUNG CANCER
卷 148, 期 -, 页码 1-11

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ELSEVIER IRELAND LTD
DOI: 10.1016/j.lungcan.2020.07.028

关键词

non-small cell lung cancer; immune checkpoint inhibitors; circulating biomarkers; prognostic scores

资金

  1. COST [BIONECA 2016-CA16122]

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Introduction: Upfront criteria to foresee immune checkpoint inhibitors (ICIs) efficacy are far from being identified. Thus, we integrated blood descriptors of pro-inflammatory/immunosuppressive or effective anti-tumor response to non-invasively define predictive immune profiles in ICI-treated advanced non-small cell lung cancer (NSCLC). Methods: Peripheral blood (PB) was prospectively collected at baseline from 109 consecutive NSCLC patients undergoing ICIs as first or more line treatment. Soluble PD-L1 (sPD-L1) (immunoassay), CD8 + PD-1 + and NK (FACS) cells were assessed and interlaced to generate an Immune effector Score (I eff S). Lung Immune Prognostic Index (LIPI) was computed by LDH levels and derived Neutrophil-to-Lymphocyte Ratio (dNLR). All these parameters were correlated with survival outcome and treatment response. Results: High sPD-L1 and low CD8 + PD-1 + and NK number had negative impact on PFS (P < 0.001), OS (P < 0.01) and ICI-response (P < 0.05). Thus, sPD-L1(high), CD8 + PD-1 + (low )and NKlow were considered as risk factors encompassing I eff S, whose prognostic power outperformed that of individual features and slightly exceeded that of LIPI. Accordingly, the absence of these risk factors portrayed a favorable IeffS characterizing patients with significantly (P < 0.001) prolonged PFS (median NR vs 2.3 months) and OS (median NR vs 4.1) and greater benefit from ICIs (P < 0.01). We then combined each risk parameter composing IeffS and LIPI (LDHhigh, dNLR(high)), thus defining three distinct prognostic classes. A remarkable impact of IeffS-LIPI integration was documented on survival outcome (PFS, HR = 4.61; 95%CI = 2.32-9.18; P < 0.001; OS, HR= 4.03; 95%CI=1.91-8.67; P < 0.001) and ICI-response (AUC =0.90, 95%CI= 0.81-0.97, P < 0.001). Conclusion: Composite risk models based on blood parameters featuring the tumor-host interaction might provide accurate prognostic scores able to predict ICI benefit in NSCLC patients.

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