1. Predictive ability of a drug-based score in patients with advanced non-small-cell lung cancer receiving first-line immunotherapy
- Author
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Buti, S, Bersanelli, M, Perrone, F, Bracarda, S, Di Maio, M, Giusti, R, Nigro, O, Cortinovis, D, Aerts, J, Guaitoli, G, Barbieri, F, Ferrara, M, Bria, E, Grossi, F, Bareggi, C, Berardi, R, Torniai, M, Cantini, L, Sforza, V, Genova, C, Chiari, R, Rocco, D, Della Gravara, L, Gori, S, De Tursi, M, Di Marino, P, Mansueto, G, Zoratto, F, Filetti, M, Citarella, F, Russano, M, Mazzoni, F, Garassino, M, De Toma, A, Signorelli, D, Gelibter, A, Siringo, M, Follador, A, Bisonni, R, Tuzi, A, Minuti, G, Landi, L, Ricciardi, S, Migliorino, M, Tabbò, F, Olmetto, E, Metro, G, Adamo, V, Russo, A, Spinelli, G, Banna, G, Addeo, A, Friedlaender, A, Cannita, K, Porzio, G, Ficorella, C, Carmisciano, L, Pinato, D, Mazzaschi, G, Tiseo, M, Cortellini, A, Buti S, Bersanelli M, Perrone F, Bracarda S, Di Maio M, Giusti R, Nigro O, Cortinovis D, Aerts JGJV, Guaitoli G, Barbieri F, Ferrara MG, Bria E, Grossi F, Bareggi C, Berardi R, Torniai M, Cantini L, Sforza V, Genova C, Chiari R, Rocco D, Della Gravara L, Gori S, De Tursi M, Di Marino P, Mansueto G, Zoratto F, Filetti M, Citarella F, Russano M, Mazzoni F, Garassino MC, De Toma A, Signorelli D, Gelibter A, Siringo M, Follador A, Bisonni R, Tuzi A, Minuti G, Landi L, Ricciardi S, Migliorino MR, Tabbò F, Olmetto E, Metro G, Adamo V, Russo A, Spinelli GP, Banna GL, Addeo A, Friedlaender A, Cannita K, Porzio G, Ficorella C, Carmisciano L, Pinato DJ, Mazzaschi G, Tiseo M, Cortellini A, Buti, S, Bersanelli, M, Perrone, F, Bracarda, S, Di Maio, M, Giusti, R, Nigro, O, Cortinovis, D, Aerts, J, Guaitoli, G, Barbieri, F, Ferrara, M, Bria, E, Grossi, F, Bareggi, C, Berardi, R, Torniai, M, Cantini, L, Sforza, V, Genova, C, Chiari, R, Rocco, D, Della Gravara, L, Gori, S, De Tursi, M, Di Marino, P, Mansueto, G, Zoratto, F, Filetti, M, Citarella, F, Russano, M, Mazzoni, F, Garassino, M, De Toma, A, Signorelli, D, Gelibter, A, Siringo, M, Follador, A, Bisonni, R, Tuzi, A, Minuti, G, Landi, L, Ricciardi, S, Migliorino, M, Tabbò, F, Olmetto, E, Metro, G, Adamo, V, Russo, A, Spinelli, G, Banna, G, Addeo, A, Friedlaender, A, Cannita, K, Porzio, G, Ficorella, C, Carmisciano, L, Pinato, D, Mazzaschi, G, Tiseo, M, Cortellini, A, Buti S, Bersanelli M, Perrone F, Bracarda S, Di Maio M, Giusti R, Nigro O, Cortinovis D, Aerts JGJV, Guaitoli G, Barbieri F, Ferrara MG, Bria E, Grossi F, Bareggi C, Berardi R, Torniai M, Cantini L, Sforza V, Genova C, Chiari R, Rocco D, Della Gravara L, Gori S, De Tursi M, Di Marino P, Mansueto G, Zoratto F, Filetti M, Citarella F, Russano M, Mazzoni F, Garassino MC, De Toma A, Signorelli D, Gelibter A, Siringo M, Follador A, Bisonni R, Tuzi A, Minuti G, Landi L, Ricciardi S, Migliorino MR, Tabbò F, Olmetto E, Metro G, Adamo V, Russo A, Spinelli GP, Banna GL, Addeo A, Friedlaender A, Cannita K, Porzio G, Ficorella C, Carmisciano L, Pinato DJ, Mazzaschi G, Tiseo M, and Cortellini A
- Abstract
Background: We previously demonstrated the cumulative poor prognostic role of concomitant medications on the clinical outcome of patients with advanced cancer treated with immune checkpoint inhibitors, creating and validating a drug-based prognostic score to be calculated before immunotherapy initiation in patients with advanced solid tumours. This ‘drug score’ was calculated assigning score 1 for each between proton-pump inhibitor and antibiotic administration until a month before cancer therapy initiation and score 2 in case of corticosteroid intake. The good risk group included patients with score 0, intermediate risk with score 1–2 and poor risk with score 3–4. Methods: Aiming at validating the prognostic and putative predictive ability depending on the anticancer therapy, we performed the present comparative analysis in two cohorts of advanced non–small-cell lung cancer (NSCLC), respectively, receiving first-line pembrolizumab or chemotherapy through a random case-control matching and through a pooled multivariable analysis including the interaction between the computed score and the therapeutic modality (pembrolizumab vs chemotherapy). Results: Nine hundred fifty and 595 patients were included in the pembrolizumab and chemotherapy cohorts, respectively. After the case-control random matching, 589 patients from the pembrolizumab cohort and 589 from the chemotherapy cohort were paired, with no statistically significant differences between the characteristics of the matched subjects. Among the pembrolizumab-treated group, good, intermediate and poor risk evaluable patients achieved an objective response rate (ORR) of 50.0%, 37.7% and 23.4%, respectively, (p < 0.0001), whereas among the chemotherapy-treated group, patients achieved an ORR of 37.0%, 40.0% and 32.4%, respectively (p = 0.4346). The median progression-free survival (PFS) of good, intermediate and poor risk groups was 13.9 months, 6.3 months and 2.8 months, respectively, within the pembrolizumab coh
- Published
- 2021