مورد إلكتروني

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

التفاصيل البيبلوغرافية
العنوان: 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
المؤلفون: 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.
بيانات النشر: Elsevier BV country:NL 2021
نوع الوثيقة: Electronic Resource
مستخلص: 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.
مصطلحات الفهرس: immune-checkpoint inhibitor, immunotherapy, LDH, neutrophil-to-lymphocyte ratio, non-small-cell lung cancer, PD-L1, performance statu, prognostic, steroid, info:eu-repo/semantics/article
URL: https://hdl.handle.net/10281/450100
info:eu-repo/semantics/altIdentifier/pmid/33735802
info:eu-repo/semantics/altIdentifier/wos/WOS:000644690600027
volume:6
issue:2
journal:ESMO OPEN
الإتاحة: Open access content. Open access content
ملاحظة: ELETTRONICO
English
أرقام أخرى: ITBAO oai:boa.unimib.it:10281/450100
10.1016/j.esmoop.2021.100078
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85103881017
1415731710
المصدر المساهم: BICOCCA OPEN ARCH
From OAIster®, provided by the OCLC Cooperative.
رقم الأكسشن: edsoai.on1415731710
قاعدة البيانات: OAIster