High lymphocyte population-related predictive factors for a long-term response in non-small cell lung cancer patients treated with pemetrexed: a retrospective observational study.
Absolute lymphocyte count
Immunogenic cell death
Neutrophil-to-lymphocyte ratio
Non-small-cell lung cancer
Pemetrexed
Programmed cell death-1
Programmed death-ligand 1
Journal
Journal of translational medicine
ISSN: 1479-5876
Titre abrégé: J Transl Med
Pays: England
ID NLM: 101190741
Informations de publication
Date de publication:
28 02 2021
28 02 2021
Historique:
received:
17
11
2020
accepted:
19
02
2021
entrez:
28
2
2021
pubmed:
1
3
2021
medline:
15
5
2021
Statut:
epublish
Résumé
Regimens combining pemetrexed (PEM) and immune checkpoint inhibitors (ICIs) targeting programmed cell death-1 (PD-1) or programmed death-ligand 1 (PD-L1) are widely used for the treatment of advanced non-squamous non-small-cell lung cancer (NSq-NSCLC). Recently, PEM was shown to induce immunogenic cell death (ICD) and to enhance immune-regulatory genes. Some patients demonstrate an extremely long-term response to PEM. It is possible that the continued response in these patients is dependent on not only the pharmacological induction of cytotoxic cell death but also antitumor immunity. However, factors that can predict outcomes associated with long-term PEM administration using blood test results have not yet been elucidated. We investigated the clinical characteristics and predictive factors in patients with advanced NSq-NSCLC who underwent long-term PEM maintenance therapy. In total, 504 patients with advanced NSq-NSCLC who received PEM combination therapy/monotherapy (n = 414) or paclitaxel (PTX) combination therapy (n = 90) between January 2010 and November 2019 were recruited; 381 patients were retained for the final analysis. Patients treated with PEM (n = 301) were divided into subgroups according to the total cycles of PEM (≥ 17 [n = 25] for the long-term administration group and ≤ 16 [n = 276] for the intermediate/short-term group) and compared with another population (n = 80) treated with PTX combination regimen. We investigated clinical features and predictive biomarkers, focusing on immune-regulatory factors, absolute lymphocyte count (ALC), neutrophil-to-lymphocyte ratio (NLR), and PD-1 and PD-L1 expression, to predict long-term response to PEM. The long-term PEM administration group exhibited a higher ALC and a lower NLR than the shorter-term group did. Both these markers displayed greater association with progression-free survival and overall survival in the PEM combination therapy group than in the PTX combination therapy group. Increased PD-1 lymphocytes were associated with the long-term PEM response group, as PD-L1 expression in tumors was associated with a high incidence of immune-related adverse effects following ICI administration. ALC, NLR, and PD-1 expression are PEM-mediated predictive biomarkers that are indirectly related to tumor immunity and can provide useful predictive information on the long-term response to PEM in patients with NSq-NSCLC.
Sections du résumé
BACKGROUND
Regimens combining pemetrexed (PEM) and immune checkpoint inhibitors (ICIs) targeting programmed cell death-1 (PD-1) or programmed death-ligand 1 (PD-L1) are widely used for the treatment of advanced non-squamous non-small-cell lung cancer (NSq-NSCLC). Recently, PEM was shown to induce immunogenic cell death (ICD) and to enhance immune-regulatory genes. Some patients demonstrate an extremely long-term response to PEM. It is possible that the continued response in these patients is dependent on not only the pharmacological induction of cytotoxic cell death but also antitumor immunity. However, factors that can predict outcomes associated with long-term PEM administration using blood test results have not yet been elucidated. We investigated the clinical characteristics and predictive factors in patients with advanced NSq-NSCLC who underwent long-term PEM maintenance therapy.
METHODS
In total, 504 patients with advanced NSq-NSCLC who received PEM combination therapy/monotherapy (n = 414) or paclitaxel (PTX) combination therapy (n = 90) between January 2010 and November 2019 were recruited; 381 patients were retained for the final analysis. Patients treated with PEM (n = 301) were divided into subgroups according to the total cycles of PEM (≥ 17 [n = 25] for the long-term administration group and ≤ 16 [n = 276] for the intermediate/short-term group) and compared with another population (n = 80) treated with PTX combination regimen. We investigated clinical features and predictive biomarkers, focusing on immune-regulatory factors, absolute lymphocyte count (ALC), neutrophil-to-lymphocyte ratio (NLR), and PD-1 and PD-L1 expression, to predict long-term response to PEM.
RESULTS
The long-term PEM administration group exhibited a higher ALC and a lower NLR than the shorter-term group did. Both these markers displayed greater association with progression-free survival and overall survival in the PEM combination therapy group than in the PTX combination therapy group. Increased PD-1 lymphocytes were associated with the long-term PEM response group, as PD-L1 expression in tumors was associated with a high incidence of immune-related adverse effects following ICI administration.
CONCLUSIONS
ALC, NLR, and PD-1 expression are PEM-mediated predictive biomarkers that are indirectly related to tumor immunity and can provide useful predictive information on the long-term response to PEM in patients with NSq-NSCLC.
Identifiants
pubmed: 33639962
doi: 10.1186/s12967-021-02761-1
pii: 10.1186/s12967-021-02761-1
pmc: PMC7916269
doi:
Substances chimiques
B7-H1 Antigen
0
Pemetrexed
04Q9AIZ7NO
Types de publication
Journal Article
Observational Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
92Références
Thorac Cancer. 2019 Apr;10(4):942-949
pubmed: 30864258
Ann Oncol. 2013 Jun;24(6):1697-703
pubmed: 23439861
Oncol Lett. 2014 Jun;7(6):2073-2078
pubmed: 24932291
N Engl J Med. 2006 Dec 14;355(24):2542-50
pubmed: 17167137
Cancer Immunol Immunother. 2013 Mar;62(3):471-9
pubmed: 22986452
J Thorac Oncol. 2018 Mar;13(3):301-322
pubmed: 29331646
Clin Cancer Res. 2019 Dec 1;25(23):7175-7188
pubmed: 31409612
Cancer. 2010 Apr 1;116(7):1767-75
pubmed: 20143434
Nat Rev Cancer. 2012 Dec;12(12):860-75
pubmed: 23151605
Cancer Immunol Res. 2020 Aug;8(8):1099-1111
pubmed: 32354736
Nat Med. 2007 Sep;13(9):1050-9
pubmed: 17704786
J Clin Oncol. 2008 Jul 20;26(21):3543-51
pubmed: 18506025
Clin Lung Cancer. 2015 Sep;16(5):e83-9
pubmed: 25682546
J Thorac Oncol. 2011 Apr;6(4):774-80
pubmed: 21336183
Transl Lung Cancer Res. 2019 Jun;8(3):214-226
pubmed: 31367535
Ann Oncol. 2013 Jan;24(1):59-66
pubmed: 22887466
Lung Cancer. 2014 Sep;85(3):408-14
pubmed: 25088661
Lung Cancer. 2017 Apr;106:1-7
pubmed: 28285682
J Clin Oncol. 2004 May 1;22(9):1589-97
pubmed: 15117980
Appl Immunohistochem Mol Morphol. 2016 Jul;24(6):392-7
pubmed: 27333219
J Clin Oncol. 2009 Jul 1;27(19):3217-24
pubmed: 19433683
JAMA Oncol. 2018 Apr 1;4(4):569-570
pubmed: 29494728
BMC Cancer. 2016 Jul 07;16:417
pubmed: 27388008
Lung Cancer. 2017 Sep;111:176-181
pubmed: 28838390
J Clin Oncol. 2013 Aug 10;31(23):2895-902
pubmed: 23835707
J Thorac Oncol. 2011 Sep;6(9):1474-80
pubmed: 21642865
J Thorac Oncol. 2011 Aug;6(8):1392-9
pubmed: 21716147
N Engl J Med. 2014 Dec 4;371(23):2167-77
pubmed: 25470694
J Thorac Oncol. 2012 Mar;7(3):567-73
pubmed: 22157370
J Clin Oncol. 2015 Aug 1;33(22):2450-6
pubmed: 26124486
Ann Oncol. 2018 Feb 1;29(2):524
pubmed: 28379318
Lung Cancer. 2012 Jun;76(3):362-7
pubmed: 22244743
Oncotarget. 2017 Aug 7;8(39):66293-66304
pubmed: 29029512
Lancet Oncol. 2012 Mar;13(3):247-55
pubmed: 22341744
Proc Natl Acad Sci U S A. 2017 May 9;114(19):4993-4998
pubmed: 28446615
J Thorac Oncol. 2013 Oct;8(10):1255-64
pubmed: 24457236