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.
biomarkers, tumor
immunotherapy
non-small cell lung cancer
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
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.
Références
Nat Commun. 2014 Oct 16;5:5160
pubmed: 25319116
Cancers (Basel). 2021 Nov 23;13(23):
pubmed: 34884987
Pathology. 2021 Feb;53(2):141-156
pubmed: 33388161
J Cereb Blood Flow Metab. 2019 Jul;39(7):1369-1380
pubmed: 29480757
J Clin Pathol. 2021 Sep;74(9):548-552
pubmed: 34039664
Eur J Immunol. 1999 Nov;29(11):3466-77
pubmed: 10556801
J Immunol. 2010 Nov 15;185(10):5683-7
pubmed: 20962259
J Immunol. 2011 Mar 1;186(5):2772-9
pubmed: 21263073
Front Nutr. 2022 Oct 20;9:1011732
pubmed: 36337621
Ann Oncol. 2013 Jun;24(6):1697-703
pubmed: 23439861
Biochem Biophys Res Commun. 2018 Dec 9;507(1-4):330-336
pubmed: 30446226
Front Immunol. 2019 Aug 30;10:2035
pubmed: 31543877
ESMO Open. 2022 Dec;7(6):100645
pubmed: 36455507
J Clin Invest. 2018 Oct 1;128(10):4654-4668
pubmed: 30198904
Nat Med. 2018 Aug;24(8):1178-1191
pubmed: 29942093
Cancer Discov. 2019 Oct;9(10):1422-1437
pubmed: 31340937
Int J Mol Sci. 2021 Aug 30;22(17):
pubmed: 34502325
Front Mol Biosci. 2021 Apr 28;8:647095
pubmed: 33996903
J Immunother Cancer. 2019 Sep 12;7(1):249
pubmed: 31511069
Cancer Treat Rev. 2019 May;75:39-51
pubmed: 30954906
Tissue Antigens. 1999 Jul;54(1):27-34
pubmed: 10458320
Science. 2018 Mar 23;359(6382):1366-1370
pubmed: 29567708
N Engl J Med. 2018 Nov 22;379(21):2040-2051
pubmed: 30280635
J Thorac Dis. 2021 May;13(5):2716-2727
pubmed: 34164164
Oncogene. 2016 Oct 27;35(43):5585-5596
pubmed: 27065333
Nat Med. 2015 Aug;21(8):938-945
pubmed: 26193342
BMC Cancer. 2020 Dec 3;20(1):1185
pubmed: 33272262
Nat Med. 2022 Mar;28(3):545-556
pubmed: 35228752
Oncoimmunology. 2018 Jan 29;7(5):e1423184
pubmed: 29721382
Nat Med. 2018 Feb;24(2):144-153
pubmed: 29309059
Mol Cell. 2021 Jun 3;81(11):2317-2331.e6
pubmed: 33909988
N Engl J Med. 2016 Nov 10;375(19):1823-1833
pubmed: 27718847
Cancers (Basel). 2021 Dec 13;13(24):
pubmed: 34944879
Oncotarget. 2017 Sep 21;8(58):98298-98311
pubmed: 29228690
Cancers (Basel). 2020 Jul 01;12(7):
pubmed: 32630303
Nat Med. 2018 Sep;24(9):1441-1448
pubmed: 30082870
Cancer Metastasis Rev. 2022 Jun;41(2):347-366
pubmed: 35876944
Nat Med. 2022 May;28(5):939-945
pubmed: 35422531
New Microbes New Infect. 2016 Jun 02;13:15-6
pubmed: 27358742
Nat Rev Cancer. 2022 Dec;22(12):703-722
pubmed: 36253536
JCI Insight. 2021 Jan 25;6(2):
pubmed: 33320838
J Immunol Res. 2022 Jan 03;2022:5254911
pubmed: 35028320
Nat Cancer. 2022 Oct;3(10):1151-1164
pubmed: 36038778
Nat Rev Immunol. 2020 Nov;20(11):651-668
pubmed: 32433532
Nat Rev Immunol. 2005 May;5(5):375-86
pubmed: 15864272
N Engl J Med. 2018 May 31;378(22):2078-2092
pubmed: 29658856
Matrix Biol. 2018 Oct;71-72:161-173
pubmed: 29530484
Lancet. 2019 May 4;393(10183):1819-1830
pubmed: 30955977
Curr Microbiol. 2018 Oct;75(10):1274-1281
pubmed: 29858619
Front Mol Biosci. 2020 Sep 23;7:571641
pubmed: 33102522