Use of archival versus newly collected tumor samples for assessing PD-L1 expression and overall survival: an updated analysis of KEYNOTE-010 trial.


Journal

Annals of oncology : official journal of the European Society for Medical Oncology
ISSN: 1569-8041
Titre abrégé: Ann Oncol
Pays: England
ID NLM: 9007735

Informations de publication

Date de publication:
01 02 2019
Historique:
pubmed: 19 1 2019
medline: 5 3 2020
entrez: 19 1 2019
Statut: ppublish

Résumé

In KEYNOTE-010, pembrolizumab versus docetaxel improved overall survival (OS) in patients with programmed death-1 protein (PD)-L1-positive advanced non-small-cell lung cancer (NSCLC). A prespecified exploratory analysis compared outcomes in patients based on PD-L1 expression in archival versus newly collected tumor samples using recently updated survival data. PD-L1 was assessed centrally by immunohistochemistry (22C3 antibody) in archival or newly collected tumor samples. Patients received pembrolizumab 2 or 10 mg/kg Q3W or docetaxel 75 mg/m2 Q3W for 24 months or until progression/intolerable toxicity/other reason. Response was assessed by RECIST v1.1 every 9 weeks, survival every 2 months. Primary end points were OS and progression-free survival (PFS) in tumor proportion score (TPS) ≥50% and ≥1%; pembrolizumab doses were pooled in this analysis. At date cut-off of 24 March 2017, median follow-up was 31 months (range 23-41) representing 18 additional months of follow-up from the primary analysis. Pembrolizumab versus docetaxel continued to improve OS in patients with previously treated, PD-L1-expressing advanced NSCLC; hazard ratio (HR) was 0.66 [95% confidence interval (CI): 0.57, 0.77]. Of 1033 patients analyzed, 455(44%) were enrolled based on archival samples and 578 (56%) on newly collected tumor samples. Approximately 40% of archival samples and 45% of newly collected tumor samples were PD-L1 TPS ≥50%. For TPS ≥50%, the OS HRs were 0.64 (95% CI: 0.45, 0.91) and 0.40 (95% CI: 0.28, 0.56) for archival and newly collected samples, respectively. In patients with TPS ≥1%, OS HRs were 0.74 (95% CI: 0.59, 0.93) and 0.59 (95% CI: 0.48, 0.73) for archival and newly collected samples, respectively. In TPS ≥50%, PFS HRs were similar across archival [0.63 (95% CI: 0.45, 0.89)] and newly collected samples [0.53 (95% CI: 0.38, 0.72)]. In patients with TPS ≥1%, PFS HRs were similar across archival [0.82 (95% CI: 0.66, 1.02)] and newly collected samples [0.83 (95% CI: 0.68, 1.02)]. Pembrolizumab continued to improve OS over docetaxel in intention to treat population and in subsets of patients with newly collected and archival samples. ClinicalTrials.gov: NCT01905657.

Sections du résumé

BACKGROUND
In KEYNOTE-010, pembrolizumab versus docetaxel improved overall survival (OS) in patients with programmed death-1 protein (PD)-L1-positive advanced non-small-cell lung cancer (NSCLC). A prespecified exploratory analysis compared outcomes in patients based on PD-L1 expression in archival versus newly collected tumor samples using recently updated survival data.
PATIENTS AND METHODS
PD-L1 was assessed centrally by immunohistochemistry (22C3 antibody) in archival or newly collected tumor samples. Patients received pembrolizumab 2 or 10 mg/kg Q3W or docetaxel 75 mg/m2 Q3W for 24 months or until progression/intolerable toxicity/other reason. Response was assessed by RECIST v1.1 every 9 weeks, survival every 2 months. Primary end points were OS and progression-free survival (PFS) in tumor proportion score (TPS) ≥50% and ≥1%; pembrolizumab doses were pooled in this analysis.
RESULTS
At date cut-off of 24 March 2017, median follow-up was 31 months (range 23-41) representing 18 additional months of follow-up from the primary analysis. Pembrolizumab versus docetaxel continued to improve OS in patients with previously treated, PD-L1-expressing advanced NSCLC; hazard ratio (HR) was 0.66 [95% confidence interval (CI): 0.57, 0.77]. Of 1033 patients analyzed, 455(44%) were enrolled based on archival samples and 578 (56%) on newly collected tumor samples. Approximately 40% of archival samples and 45% of newly collected tumor samples were PD-L1 TPS ≥50%. For TPS ≥50%, the OS HRs were 0.64 (95% CI: 0.45, 0.91) and 0.40 (95% CI: 0.28, 0.56) for archival and newly collected samples, respectively. In patients with TPS ≥1%, OS HRs were 0.74 (95% CI: 0.59, 0.93) and 0.59 (95% CI: 0.48, 0.73) for archival and newly collected samples, respectively. In TPS ≥50%, PFS HRs were similar across archival [0.63 (95% CI: 0.45, 0.89)] and newly collected samples [0.53 (95% CI: 0.38, 0.72)]. In patients with TPS ≥1%, PFS HRs were similar across archival [0.82 (95% CI: 0.66, 1.02)] and newly collected samples [0.83 (95% CI: 0.68, 1.02)].
CONCLUSION
Pembrolizumab continued to improve OS over docetaxel in intention to treat population and in subsets of patients with newly collected and archival samples.
TRIAL REGISTRATION
ClinicalTrials.gov: NCT01905657.

Identifiants

pubmed: 30657853
pii: S0923-7534(19)31040-3
doi: 10.1093/annonc/mdy545
pmc: PMC6931268
pii:
doi:

Substances chimiques

Antibodies, Monoclonal, Humanized 0
B7-H1 Antigen 0
CD274 protein, human 0
Docetaxel 15H5577CQD
pembrolizumab DPT0O3T46P

Banques de données

ClinicalTrials.gov
['NCT01905657']

Types de publication

Clinical Trial, Phase II Clinical Trial, Phase III Comparative Study Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

281-289

Subventions

Organisme : NCI NIH HHS
ID : P50 CA196530
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Auteurs

R S Herbst (RS)

Department of Medical Oncology, Yale University School of Medicine, Yale Comprehensive Cancer Center, New Haven, USA. Electronic address: roy.herbst@yale.edu.

P Baas (P)

Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

J L Perez-Gracia (JL)

Department of Oncology, Clinica Universidad de Navarra, Pamplona, Spain.

E Felip (E)

Lung Cancer Unit, Department of Oncology, Vall d'Hebron University Hospital, Barcelona, Spain; Vall d'Hebron Institute of Oncology, Barcelona, Spain.

D-W Kim (DW)

Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.

J-Y Han (JY)

Division of Translational & Clinical Research, National Cancer Center, Goyang, Republic of Korea.

J R Molina (JR)

Department of Oncology, Mayo Clinic, Rochester, USA.

J-H Kim (JH)

Department of Medical Oncology, CHA Bundang Medical Center, CHA University, Gyeonggi-Do, Republic of Korea.

C Dubos Arvis (C)

Department of Medicine, Centre François Baclesse, Caen, France.

M-J Ahn (MJ)

Division of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

M Majem (M)

Department of Medical Oncology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.

M J Fidler (MJ)

Division of Hematology Oncology, Rush University Medical Center, Chicago, USA.

V Surmont (V)

Department of Respiratory Medicine/Thoracic Oncology, Universitar Ziekenhuis Ghent, Ghent, Belgium.

G de Castro (G)

Department of Medical Oncology, Instituto do Câncer do Estado de São Paulo, Sao Paulo, Brazil.

M Garrido (M)

Department of Hemato-Oncology, Pontificia Universidad Católica de Chile, Santiago, Chile.

Y Shentu (Y)

Department of Clinical Research, Merck & Co. Inc., Kenilworth, USA.

K Emancipator (K)

Department of Clinical Research, Merck & Co. Inc., Kenilworth, USA.

A Samkari (A)

Department of Clinical Research, Merck & Co. Inc., Kenilworth, USA.

E H Jensen (EH)

Department of Clinical Research, Merck & Co. Inc., Kenilworth, USA.

G M Lubiniecki (GM)

Department of Clinical Research, Merck & Co. Inc., Kenilworth, USA.

E B Garon (EB)

Department of Medicine, Division of Hematology/Oncology, David Geffen School of Medicine at UCLA, Los Angeles, USA.

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Classifications MeSH