2026-04-13T13:23:32Zhttps://recercat.cat/oai/request

oai:recercat.cat:11351/130812025-10-24T10:59:50Zcom_2072_451665com_2072_378040col_2072_451666

00925njm 22002777a 4500 dc Victoria Ruiz, Iván author Moreno, Débora author GARCIA-CORBACHO, JAVIER author Indacochea Cusirramos, Alberto author Angelats, Laura author GONZALEZ NAVARRO, EUROPA AZUCENA author NOGUE ALIGUER, MIQUEL author 2025-05-14T08:00:50Z 2025-05-14T08:00:50Z 2025-02-01 Cancer; Immune check-point inhibitors; Immunotherapy Càncer; Inhibidors dels punts de control immunitari; Immunoteràpia Cáncer; Inhibidores de puntos de control inmunitario; Inmunoterapia Introduction: Immune check-point inhibitors (ICI) were a major breakthrough in cancer care, but optimal patient selection remains elusive in most tumors. Methods: Overall 173 adult patients with metastatic solid tumors candidates to ICI in clinical trials at our Institution were prospectively recruited. Blood samples were collected at cycle 1 (C1D1) and 2 (C2D1) and until the occurrence of progressive disease (PD). C1D1 LIPI, RMH, PMHI, NLR, dNLR, PIPO and GRIm prognostic scores were calculated. The primary endpoint was identifying the best score to predict rapid PD (≤ 4 months) with ICI using logistic regressions accounting for tumor type, and receiving operators characteristics (ROC) with area under curve (AUC), accompanied by an extensive comparison of the score performances in the prediction of overall survival (OS), progression-free survival (PFS), overall response rates (ORR) and durable clinical benefit (DCB). Secondary objectives included describing study cohort outcomes and studying the association between the selected score at C1D1, C2D1 and its dynamics with OS and PFS. Results: C1D1 LIPI was the best predictor of rapid PD, OS and PFS, regardless of cancer type, compared to other scores. No score was associated to ORR and only RMH to DCB. Baseline LIPI detected three categories of patients with significantly different OS (p < 0.001) and PFS (p = 0.013). The same was observed at C2D1 for OS and PFS (both p = 0.020). Significant LIPI class shifts were observed in the overall population (p < 0.001), rapid progressors (p = 0.029) and non-rapid progressors (p = 0.009). Retaining a good LIPI or experiencing a shift towards a better prognostic class was associated to improved OS (p = 0.009) and PFS (p = 0.006). C2D1 LIPI, but not C1D1, remained significantly associated to rapid PD in multivariable analysis. Conclusions: LIPI may improve patient selection for ICI and guide treatment adjustments according to on-treatment dynamics in a pancancer context. Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. http://hdl.handle.net/11351/13081 Càncer Immunoteràpia Metàstasi ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Therapeutics::Biological Therapy::Immunomodulation::Immunotherapy DISEASES::Neoplasms DISEASES::Neoplasms::Neoplastic Processes::Neoplasm Metastasis TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::terapéutica::terapia biológica::inmunomodulación::inmunoterapia ENFERMEDADES::neoplasias ENFERMEDADES::neoplasias::procesos neoplásicos::metástasis neoplásica Blood-based prognostic scores and early dynamics under immunotherapy to select patients with metastatic solid tumors for continuing immune check-point inhibition: a prospective longitudinal study