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The lung immuno-oncology prognostic score (LIPS-3): a prognostic classification of patients receiving first-line pembrolizumab for PD-L1 ≥ 50% advanced non-small-cell lung cancer

Authors :
Banna, G
Cortellini, A
Cortinovis, D
Tiseo, M
Aerts, J
Barbieri, F
Giusti, R
Bria, E
Grossi, F
Pizzutilo, P
Berardi, R
Morabito, A
Genova, C
Mazzoni, F
Di Noia, V
Signorelli, D
Gelibter, A
Macerelli, M
Rastelli, F
Chiari, R
Rocco, D
Gori, S
De Tursi, M
Di Marino, P
Mansueto, G
Zoratto, F
Filetti, M
Montrone, M
Citarella, F
Marco, R
Cantini, L
Nigro, O
D'Argento, E
Buti, S
Minuti, G
Landi, L
Guaitoli, G
Lo Russo, G
De Toma, A
Donisi, C
Friedlaender, A
De Giglio, A
Metro, G
Porzio, G
Ficorella, C
Addeo, A
Banna GL
Cortellini A
Cortinovis D
Tiseo M
Aerts JGJV
Barbieri F
Giusti R
Bria E
Grossi F
Pizzutilo P
Berardi R
Morabito A
Genova C
Mazzoni F
Di Noia V
Signorelli D
Gelibter A
Macerelli M
Rastelli F
Chiari R
Rocco D
Gori S
De Tursi M
Di Marino P
Mansueto G
Zoratto F
Filetti M
Montrone M
Citarella F
Marco R
Cantini L
Nigro O
D'Argento E
Buti S
Minuti G
Landi L
Guaitoli G
Lo Russo G
De Toma A
Donisi C
Friedlaender A
De Giglio A
Metro G
Porzio G
Ficorella C
Addeo A.
Banna, G
Cortellini, A
Cortinovis, D
Tiseo, M
Aerts, J
Barbieri, F
Giusti, R
Bria, E
Grossi, F
Pizzutilo, P
Berardi, R
Morabito, A
Genova, C
Mazzoni, F
Di Noia, V
Signorelli, D
Gelibter, A
Macerelli, M
Rastelli, F
Chiari, R
Rocco, D
Gori, S
De Tursi, M
Di Marino, P
Mansueto, G
Zoratto, F
Filetti, M
Montrone, M
Citarella, F
Marco, R
Cantini, L
Nigro, O
D'Argento, E
Buti, S
Minuti, G
Landi, L
Guaitoli, G
Lo Russo, G
De Toma, A
Donisi, C
Friedlaender, A
De Giglio, A
Metro, G
Porzio, G
Ficorella, C
Addeo, A
Banna GL
Cortellini A
Cortinovis D
Tiseo M
Aerts JGJV
Barbieri F
Giusti R
Bria E
Grossi F
Pizzutilo P
Berardi R
Morabito A
Genova C
Mazzoni F
Di Noia V
Signorelli D
Gelibter A
Macerelli M
Rastelli F
Chiari R
Rocco D
Gori S
De Tursi M
Di Marino P
Mansueto G
Zoratto F
Filetti M
Montrone M
Citarella F
Marco R
Cantini L
Nigro O
D'Argento E
Buti S
Minuti G
Landi L
Guaitoli G
Lo Russo G
De Toma A
Donisi C
Friedlaender A
De Giglio A
Metro G
Porzio G
Ficorella C
Addeo A.
Publication Year :
2021

Abstract

Background: To stratify the prognosis of patients with programmed cell death-ligand 1 (PD-L1) ≥ 50% advanced non-small-cell lung cancer (aNSCLC) treated with first-line immunotherapy. Methods: Baseline clinical prognostic factors, the neutrophil-to-lymphocyte ratio (NLR), PD-L1 tumour cell expression level, lactate dehydrogenase (LDH) and their combination were investigated by a retrospective analysis of 784 patients divided between statistically powered training (n = 201) and validation (n = 583) cohorts. Cut-offs were explored by receiver operating characteristic (ROC) curves and a risk model built with validated independent factors by multivariate analysis. Results: NLR < 4 was a significant prognostic factor in both cohorts (P < 0.001). It represented 53% of patients in the validation cohort, with 1-year overall survival (OS) of 76.6% versus 44.8% with NLR > 4, in the validation series. The addition of PD-L1 ≥ 80% (21% of patients) or LDH < 252 U/l (25%) to NLR < 4 did not result in better 1-year OS (of 72.6% and 74.1%, respectively, in the validation cohort). Eastern Cooperative Oncology Group (ECOG) performance status (PS) of 2 [P < 0.001, hazard ratio (HR) 2.04], pretreatment steroids (P < 0.001, HR 1.67) and NLR < 4 (P < 0.001, HR 2.29) resulted in independent prognostic factors. A risk model with these three factors, namely, the lung immuno-oncology prognostic score (LIPS)-3, accurately stratified three OS risk-validated categories of patients: favourable (0 risk factors, 40%, 1-year OS of 78.2% in the whole series), intermediate (1 or 2 risk factors, 54%, 1-year OS 53.8%) and poor (>2 risk factors, 5%, 1-year OS 10.7%) prognosis. Conclusions: We advocate the use of LIPS-3 as an easy-to-assess and inexpensive adjuvant prognostic tool for patients with PD-L1 ≥ 50% aNSCLC.

Details

Database :
OAIster
Notes :
ELETTRONICO, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1415731710
Document Type :
Electronic Resource