Programmed death ligand 1 expression in early stage, resectable non-small cell lung cancer.

NSCLC PD-L1 prognosis tumor grading

Journal

Oncotarget
ISSN: 1949-2553
Titre abrégé: Oncotarget
Pays: United States
ID NLM: 101532965

Informations de publication

Date de publication:
15 Jan 2019
Historique:
received: 25 04 2018
accepted: 10 12 2018
entrez: 8 2 2019
pubmed: 8 2 2019
medline: 8 2 2019
Statut: epublish

Résumé

For several years non-small cell lung cancer (NSCLC) has been considered non-immunogenic. Recent advances in antitumor immunity brought to the discovery of checkpoints that modulate immune response against cancer. One of them is programmed death receptor 1 (PD-1) and its ligand (PD-L1). Although PD-L1 expression seems predictive of response to anti-PD-1/PD-L1 agents, its prognostic value is unclear. In this study we investigated the prognostic value of PD-L1 expression and its correlation with clinical-pathological characteristics in a cohort of surgically resected NSCLC. PD-L1 expression was evaluated in 289 surgically resected NSCLC samples by immunohistochemistry. Our cohort included patients not exposed to adjuvant chemotherapy. PD-L1 status was defined as: 1) PD-L1 high (tumor proportion score, TPS≥50%), PD-L1 low (TPS 1-49%), PD-L1 negative (TPS<1%); 2) PD-L1 positive (TPS≥50%) and negative (TPS<50%); 3) as a continuous variable. Patients were mostly males (79%), former or current smokers (81%), with a median age of 67 years, non-squamous histology (67.5%) and high-grade tumors (55%). PD-L1 tumors were 18.7%. There was no significant association with sex, age, smoking status and histology. A strong correlation between high PD-L1 expression and tumor grade was detected. The difference in median OS in the different groups of patients was not statistically significant. PD-L1 is not prognostic in surgically resected NSCLC. The association with tumor differentiation suggests that grading could represent an easy-to-assess tool for selecting subjects potentially sensitive to immunotherapy warranting further investigations.

Identifiants

pubmed: 30728907
doi: 10.18632/oncotarget.26529
pii: 26529
pmc: PMC6355175
doi:

Types de publication

Journal Article

Langues

eng

Pagination

561-572

Déclaration de conflit d'intérêts

CONFLICTS OF INTEREST Dr Federico Cappuzzo: consultancy and advisory boards for Roche, Astrazeneca, BMS, MSD, Pfizer.

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Auteurs

Manolo D'Arcangelo (M)

AUSL della Romagna, Department of Oncology-Hematology, Ravenna, Italy.

Armida D'Incecco (A)

University Hospital of Siena, Medical Oncology and Immunotherapy, Center for Immuno-Oncology, Siena, Italy.

Claudia Ligorio (C)

University of Bologna, DIMES, Pathology, Bologna, Italy.

Stefania Damiani (S)

University of Bologna, DIMES, Pathology, Bologna, Italy.

Maurizio Puccetti (M)

AUSL della Romagna, Department of Pathology, Ravenna, Italy.

Sara Bravaccini (S)

Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori IRCSS, Bioscences Laboratory, Meldola, Italy.

Luigi Terracciano (L)

University Hospital Basel, Institute of Pathology, Basel, Switzerland.

Chiara Bennati (C)

AUSL della Romagna, Department of Oncology-Hematology, Ravenna, Italy.

Gabriele Minuti (G)

AUSL della Romagna, Department of Oncology-Hematology, Ravenna, Italy.

Silvia Vecchiarelli (S)

AUSL della Romagna, Department of Oncology-Hematology, Ravenna, Italy.

Lorenza Landi (L)

AUSL della Romagna, Department of Oncology-Hematology, Ravenna, Italy.

Marina Milesi (M)

Clinica San Carlo, Service of Pathology, Paderno Dugnano, Italy.

Alberto Meroni (A)

RCCS MultiMedica, Thoracic Surgery, Sesto S.G., Italy.

Sara Ravaioli (S)

Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori IRCSS, Bioscences Laboratory, Meldola, Italy.

Maria Maddalena Tumedei (MM)

Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori IRCSS, Bioscences Laboratory, Meldola, Italy.

Matteo Incarbone (M)

RCCS MultiMedica, Thoracic Surgery, Sesto S.G., Italy.

Federico Cappuzzo (F)

AUSL della Romagna, Department of Oncology-Hematology, Ravenna, Italy.

Classifications MeSH