Introduction: The ROS1 gene rearrangement has become an important biomarker in NSCLC. The College of American Pathologists/International Association for the Study of Lung Cancer/Association for Molecular Pathology testing guidelines support the use of ROS1 immunohistochemistry (IHC) as a screening test, followed by confirmation with fluorescence in situ hybridization (FISH) or a molecular test in all positive results. We have evaluated a novel anti-ROS1 IHC antibody (SP384) in a large multicenter series to obtain real-world data.
The lung immune prognostic index (LIPI) has been proposed as a new categorical blood-based biomarker to select advanced non-small cell lung cancer (NSCLC) patients for anti-programmed cell death-1 (PD-1) or programmed death ligand 1 (PD-L1) therapy. In this study, we investigate for the first time to the best of our knowledge the prognostic and predictive utility of the LIPI in a multicenter nivolumab monotherapy-based cohort. We retrospectively analyzed the influence of the baseline LIPI on overall survival (OS), progression-free survival (PFS), disease control rate (DCR), and overall response rate (ORR) among 153 patients of a cohort of 188 advanced NSCLC patients treated with nivolumab in the second line of therapy or beyond. Worse LIPI was significantly associated with shorter OS in univariate [hazard ratio (HR) =3.12, 95% confidence interval (CI), 2.12-4.60; P<0.0001] and multivariate (HR =3.67, 95% CI, 1.96-6.86; P<0.0001) analyses. Worse LIPI was associated with shorter PFS (HR =1.45, 95% CI, 1.05-2.03; P=0.03), but this correlation did not reach statistical significance in multivariate analysis (HR =1.49, 95% CI, 0.94-2.38; P=0.09). Worse LIPI was associated with lower DCR in univariate [odds ratio (OR) =0.41, 95% CI, 0.24-0.70; P=0.001] and multivariate (OR =0.44, 95% CI, 0.25-0.78; P=0.005) analyses. This study confirms the utility of the LIPI in prognostication and disease control prediction in advanced NSCLC patients treated with nivolumab in the second line of therapy or beyond.
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