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Longitudinal blood immune-inflammatory and radiomic profiling to decode different patterns of acquired resistance to immunotherapy in patients with NSCLC

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,Monica Pluchino,Roberta Minari,Simona D’Agnelli,Elisa Cardinale,Fabiana Perrone,Paola Bordi,Alessandro Leonetti,Roberta Eufrasia Ledda,Mario Silva,Sebastiano Buti,Giovanni Roti
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
被引量:3
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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