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Immunotherapy · 2025

Prognostic immunoinflammatory and transcriptomic profiles in patients with pleural mesothelioma undergoing immunotherapy.

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Mazzaschi Giulia, Rosati Roberto, D'Agnelli Simona, Minari Roberta, Trentini Francesca, Tamarozzi Prisca, Manini Martina, Zinelli Ronzoni Martina, Dodi Alessandra, Gnetti Letizia, Bottarelli Lorena, Azzoni Cinzia, Martines Gianmarco, Pluchino Monica, Toscani Ilaria, Leonetti Alessandro, Perrone Fabiana, Bordi Paola, Bocchialini Giovanni, Ampollini Luca, Quaini Federico, Tiseo Marcello

Аннотация

AIM: A translational multiscale approach, encompassing tumor immune microenvironment (TIME), circulating immune-inflammatory benchmarks, and transcriptomic profiles, was undertaken to identify prognostic biomarkers of immunotherapy (IT) efficacy in patients with advanced pleural mesothelioma (PM).

METHODS: Advanced PM patients (n = 17) treated with nivolumab plus ipilimumab were prospectively enrolled in the FIL-QI 2021 study. Baseline blood and tumor samples were analyzed for immune subsets and functional markers (Granzyme B, Ki67) by flow cytometry, cytokines by multiplex ELISA, TILs and PD-L1 by immunohistochemistry, and gene expression by nanostring. Associations with overall survival (OS), progression-free survival (PFS), time-to-treatment failure (TTF), and modified disease control rate (mDCR) were assessed.

RESULTS: Higher baseline CD4+ GnzB+ T cells were significantly associated with OS ≥ 12 months (p < 0.001), PFS ≥ 6 months (p = 0.027), and TTF ≥ 6 months (p = 0.016), along with lower CD14+ monocytes (PFS: p = 0.038). Elevated proliferating CD8+ Ki67+ T cells (PFS: p = 0.038; TTF: p = 0.022) also predicted improved outcomes. Low IL-2 levels correlated with OS ≥ 12 months (p = 0.02). TIME analysis showed higher intratumor CD4+ TILs (p = 0.03) and CD4/CD8 ratio (p = 0.016) in long survivors. Transcriptomics revealed nine genes differentially regulated according to clinical outcomes, among which ULBP2 emerged as a strong predictor of poor prognosis (LASSO-Cox regression model).

CONCLUSION: Parallel immune and transcriptomic profiling identifies biomarkers predictive of IT benefit in PM.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты