免疫系统
医学
免疫疗法
CD14型
CD8型
内科学
病态的
肿瘤科
胃肠病学
免疫学
作者
Giulia Mazzaschi,Cristina Marrocchio,Lucas Moron Dalla Tor,Ludovica Leo,Maurizio Balbi,Gianluca Milanese,Ganiyat Adenike Ralitsa Adebanjo,Bruno Lorusso,Gregorio Monica,M. Pluchino,Roberta Minari,S. D’Agnelli,Elisa Cardinale,Fabiana Perrone,Paola Bordi,Alessandro Leonetti,Roberta Eufrasia Ledda,Mario Silva,Sebastiano Buti,Giovanni Roti
标识
DOI:10.1158/1078-0432.ccr-24-1926
摘要
Abstract Purpose: To uncover the underpinnings of acquired resistance (AR) to immunotherapy (IO), we determined whether distinctive clinico-pathological, radiomic and peripheral blood (PB) immune-inflammatory features reflect oligo- and systemic (sys)-AR in advanced NSCLC patients undergoing immune checkpoints inhibitors. Experimental Design: On 105 consecutive IO-treated advanced NSCLC, PB immunophenotypes, cytokines and CT-derived radiomic features (RFs), extracted from primary and merged metastatic lesions, were prospectively collected at baseline (T0) and first disease assessment (T1, 9-12 weeks), and their delta (Δ) variation [(T1-T0)/T0] computed. AR, defined as progression after initial response (complete/partial) or stable disease ≥ 6 months, was subdivided according to the number of new and/or progressive lesions in oligoAR (≤3) and sysAR (>3). Clinico-pathological, PB and radiomic parameters and survival outcome were statistically correlated to AR patterns. Results: OligoAR and sysAR involved 24% and 12.4% of cases, respectively. While baseline PB immune profiles were comparable, a Δpos cytotoxic (NK, CD8+GnzB+) and Δneg immunosuppressive (CD14+ monocytes) dynamic coupled with different modulation of IL-6, TGF-β1, TNFα and sPD-L1 represented distinctive features of oligoAR vs sysAR (P<0.05). Significantly longer post-progression survival characterized oligoAR vs sysAR (median 20.3 vs 5.6 months;HR:0.22,P<0.001). The number and sites of oligoAR involvement appeared to condition blood immune background (P<0.05) and survival. Delta radiomic outperformed baseline RFs, with 15 ΔRFs sharply discriminating oligoAR from sysAR (P range:<0.001-0.04). ROC analysis confirmed the optimal performance of top-ranked ΔRFs (AUC range:0.88-0.99). Conclusions: Longitudinal analysis of blood immune hallmarks and radiomic descriptors may decipher distinct patterns of AR to IO in advanced NSCLC patients.
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