PEOPLE (NTC03447678), a phase II trial to test pembrolizumab as first-line treatment in patients with advanced NSCLC with PD-L1 <50%: a multiomics analysis.


Journal

Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585

Informations de publication

Date de publication:
06 2023
Historique:
accepted: 09 04 2023
medline: 9 6 2023
pubmed: 8 6 2023
entrez: 7 6 2023
Statut: ppublish

Résumé

Chemoimmunotherapy represents the standard of care for patients with advanced non-small cell lung cancer (NSCLC) and programmed death-ligand 1 (PD-L1) <50%. Although single-agent pembrolizumab has also demonstrated some activity in this setting, no reliable biomarkers yet exist for selecting patients likely to respond to single-agent immunotherapy. The main purpose of the study was to identify potential new biomarkers associated with progression-free-survival (PFS) within a multiomics analysis. PEOPLE (NTC03447678) was a prospective phase II trial evaluating first-line pembrolizumab in patients with advanced EGFR and ALK wild type treatment-naïve NSCLC with PD-L1 <50%. Circulating immune profiling was performed by determination of absolute cell counts with multiparametric flow cytometry on freshly isolated whole blood samples at baseline and at first radiological evaluation. Gene expression profiling was performed using nCounter PanCancer IO 360 Panel (NanoString) on baseline tissue. Gut bacterial taxonomic abundance was obtained by shotgun metagenomic sequencing of stool samples at baseline. Omics data were analyzed with sequential univariate Cox proportional hazards regression predicting PFS, with Benjamini-Hochberg multiple comparisons correction. Biological features significant with univariate analysis were analyzed with multivariate least absolute shrinkage and selection operator (LASSO). From May 2018 to October 2020, 65 patients were enrolled. Median follow-up and PFS were 26.4 and 2.9 months, respectively. LASSO integration analysis, with an optimal lambda of 0.28, showed that peripheral blood natural killer cells/CD56dimCD16+ (HR 0.56, 0.41-0.76, p=0.006) abundance at baseline and non-classical CD14dimCD16+monocytes (HR 0.52, 0.36-0.75, p=0.004), eosinophils (CD15+CD16-) (HR 0.62, 0.44-0.89, p=0.03) and lymphocytes (HR 0.32, 0.19-0.56, p=0.001) after first radiologic evaluation correlated with favorable PFS as well as high baseline expression levels of CD244 (HR 0.74, 0.62-0.87, p=0.05) protein tyrosine phosphatase receptor type C (HR 0.55, 0.38-0.81, p=0.098) and killer cell lectin like receptor B1 (HR 0.76, 0.66-0.89, p=0.05). Interferon-responsive factor 9 and cartilage oligomeric matrix protein genes correlated with unfavorable PFS (HR 3.03, 1.52-6.02, p 0.08 and HR 1.22, 1.08-1.37, p=0.06, corrected). No microbiome features were selected. This multiomics approach was able to identify immune cell subsets and expression levels of genes associated to PFS in patients with PD-L1 <50% NSCLC treated with first-line pembrolizumab. These preliminary data will be confirmed in the larger multicentric international I3LUNG trial (NCT05537922). 2017-002841-31.

Sections du résumé

BACKGROUND
Chemoimmunotherapy represents the standard of care for patients with advanced non-small cell lung cancer (NSCLC) and programmed death-ligand 1 (PD-L1) <50%. Although single-agent pembrolizumab has also demonstrated some activity in this setting, no reliable biomarkers yet exist for selecting patients likely to respond to single-agent immunotherapy. The main purpose of the study was to identify potential new biomarkers associated with progression-free-survival (PFS) within a multiomics analysis.
METHODS
PEOPLE (NTC03447678) was a prospective phase II trial evaluating first-line pembrolizumab in patients with advanced EGFR and ALK wild type treatment-naïve NSCLC with PD-L1 <50%. Circulating immune profiling was performed by determination of absolute cell counts with multiparametric flow cytometry on freshly isolated whole blood samples at baseline and at first radiological evaluation. Gene expression profiling was performed using nCounter PanCancer IO 360 Panel (NanoString) on baseline tissue. Gut bacterial taxonomic abundance was obtained by shotgun metagenomic sequencing of stool samples at baseline. Omics data were analyzed with sequential univariate Cox proportional hazards regression predicting PFS, with Benjamini-Hochberg multiple comparisons correction. Biological features significant with univariate analysis were analyzed with multivariate least absolute shrinkage and selection operator (LASSO).
RESULTS
From May 2018 to October 2020, 65 patients were enrolled. Median follow-up and PFS were 26.4 and 2.9 months, respectively. LASSO integration analysis, with an optimal lambda of 0.28, showed that peripheral blood natural killer cells/CD56dimCD16+ (HR 0.56, 0.41-0.76, p=0.006) abundance at baseline and non-classical CD14dimCD16+monocytes (HR 0.52, 0.36-0.75, p=0.004), eosinophils (CD15+CD16-) (HR 0.62, 0.44-0.89, p=0.03) and lymphocytes (HR 0.32, 0.19-0.56, p=0.001) after first radiologic evaluation correlated with favorable PFS as well as high baseline expression levels of CD244 (HR 0.74, 0.62-0.87, p=0.05) protein tyrosine phosphatase receptor type C (HR 0.55, 0.38-0.81, p=0.098) and killer cell lectin like receptor B1 (HR 0.76, 0.66-0.89, p=0.05). Interferon-responsive factor 9 and cartilage oligomeric matrix protein genes correlated with unfavorable PFS (HR 3.03, 1.52-6.02, p 0.08 and HR 1.22, 1.08-1.37, p=0.06, corrected). No microbiome features were selected.
CONCLUSIONS
This multiomics approach was able to identify immune cell subsets and expression levels of genes associated to PFS in patients with PD-L1 <50% NSCLC treated with first-line pembrolizumab. These preliminary data will be confirmed in the larger multicentric international I3LUNG trial (NCT05537922).
TRIAL REGISTRATION NUMBER
2017-002841-31.

Identifiants

pubmed: 37286305
pii: jitc-2023-006833
doi: 10.1136/jitc-2023-006833
pmc: PMC10254948
pii:
doi:

Substances chimiques

CD274 protein, human 0
B7-H1 Antigen 0
pembrolizumab DPT0O3T46P
Biomarkers 0

Banques de données

ClinicalTrials.gov
['NCT05537922']

Types de publication

Clinical Trial, Phase II Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: GLR provided consultation, attended advisory boards and/or provided lectures for the following organizations, from whom received honoraria or education grants: Merck Sharp and Dohme, Takeda, Amgen, Eli Lilly, BMS, Roche, Italfarmaco, Novartis, Sanofi, Pfizer and AstraZeneca. AP declares personal fees from AstraZeneca, Italfarmaco, Roche, BMS. RF declares advisory role from Merck Sharp and Dohme. FDB provided consultation, attended advisory boards and/or provided lectures for the following organizations, from whom received honoraria or education grants: Amgen, AstraZeneca, Boehringer-Ingelheim, BMS, Eli Lilly, F. Hoffmann-La Roche, Ignyta, Merck Sharp and Dohme, Merck Serono, Novartis, Pfizer.CP declares personal fees from Italfarmaco, AstraZeneca, BMS and Merck Sharp and Dohme.MCG declares personal financial interests with the following organizations: AstraZeneca, MSD International GmbH, BMS, Boehringer Ingelheim Italia S.p.A, Celgene, Eli Lilly, Ignyta, Incyte, Inivata, MedImmune, Novartis, Pfizer, Roche, Takeda, Seattle Genetics, Mirati, Daiichi Sankyo, Regeneron, Merck, Ose Immuno Therapeutics, Blueprint, Jansenn, Sanofi; she also declares Institutional financial interests with the following organizations: Eli Lilly, MSD, Pfizer (MISP); AstraZeneca, MSD International GmbH, BMS, Boehringer Ingelheim Italia S.p.A, Celgene, Eli Lilly, Ignyta, Incyte, MedImmune, Novartis, Pfizer, Roche, Takeda, Tiziana, Foundation Medicine, Glaxo Smith Kline GSK, Spectrum pharmaceuticals.

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Auteurs

Giuseppe Lo Russo (G)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Arsela Prelaj (A)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy arsela.prelaj@istitutotumori.mi.it.
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Lombardia, Italy.

James Dolezal (J)

Thoracic Oncology Program, Section of Hematology/Oncology, University of Chicago Department of Medicine, Chicago, Illinois, USA.

Teresa Beninato (T)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Luca Agnelli (L)

Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, Milano, Lombardia, Italy.

Tiziana Triulzi (T)

Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Alessandra Fabbri (A)

Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Daniele Lorenzini (D)

Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Roberto Ferrara (R)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.
Medical Oncology, Università Vita Salute San Raffaele, Milano, Lombardia, Italy.

Marta Brambilla (M)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Mario Occhipinti (M)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Laura Mazzeo (L)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Leonardo Provenzano (L)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Andrea Spagnoletti (A)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Giuseppe Viscardi (G)

Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Caserta, Campania, Italy.

Francesco Sgambelluri (F)

Department of Research, Human Tumors Immunobiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Silvia Brich (S)

Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Vanja Miskovic (V)

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Lombardia, Italy.

Alessandra Laura Giulia Pedrocchi (ALG)

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Lombardia, Italy.

Francesco Trovo' (F)

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Lombardia, Italy.

Sara Manglaviti (S)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Claudia Giani (C)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Paolo Ambrosini (P)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Rita Leporati (R)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Andrea Franza (A)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

John McCulloch (J)

Genetics and Microbiome Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, NCI, Bethesda, Maryland, USA.

Tommaso Torelli (T)

Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Andrea Anichini (A)

Department of Research, Human Tumors Immunobiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Roberta Mortarini (R)

Department of Research, Human Tumors Immunobiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Giorgio Trinchieri (G)

Laboratory of Integrative Cancer Immunology, Center for Cancer Research, NIH, Bethesda, Maryland, USA.

Giancarlo Pruneri (G)

Department of Oncology and Hemato-Oncology, University of Milan, Milano, Lombardia, Italy.

Valter Torri (V)

Oncology department, Mario Negri Institute for Pharmacological Research, Milano, Lombardia, Italy.

Filippo De Braud (F)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, Milano, Lombardia, Italy.

Claudia Proto (C)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Monica Ganzinelli (M)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.

Marina Chiara Garassino (MC)

Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.
Thoracic Oncology Program, Section of Hematology/Oncology, University of Chicago Department of Medicine, Chicago, Illinois, USA.

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