Immunological markers for predicting the response to immunotherapy in non-small cell lung cancer

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Abstract

Itroduction. Immune checkpoint inhibitors have become the standard of care for patients with advanced non-small cell lung cancer. However, despite the determination of programmed death-ligand 1 expression in clinical practice, which determines the effectiveness of therapy, up to 80 % of patients with non-small cell lung cancer do not respond to treatment.

The study objective – investigation of the prognostic role of clinical and immunological markers during immune checkpoint inhibitor monotherapy in ≥2 lines in patients with advanced non-small cell lung cancer.

Materials and methods. The study included 45 patients with advanced non-small cell lung cancer receiving programmed cell death 1 / programmed death-ligand 1 inhibitors in monotherapy in 2 and subsequent lines (Group 1), as well as 30 patients with advanced non-small cell lung cancer receiving first-line chemotherapy (Group 2). All patients from 2 groups did not have autoimmune diseases before starting treatment. The determination of autoantibodies, β-2-microglobulin, neopterin, interleukin 6, interleukin 18 and the allelic variant of HLA-DRB1 in patients in the Group 1 was carried out 2 months after the start of therapy, and in the Group 2 – before the start of the next chemotherapy cycle.

Results. In Group 1, the presence of EGFR / ALK mutations is an independent predictor of shorter progression-free survival (p = 0.018). Also, in the univariate analysis, neutrophil-lymphocyte ratio <5 before immune checkpoint inhibitors (p = 0.009) and the appearance of immune-related adverse events (p = 0.038) are associated with long-term progressionfree survival. In Group 1, β-2-microglobulin was lower in patients with a response duration of ≥6 months than with a progression <6 months: 1.7 mg / L and 2.9 mg / L, respectively (p <0.0001). Patients receiving immune checkpoint inhibitors with a β-2-microglobulin level ≥2.5 mg / L have a shorter progression-free survival than patients with a marker value <2.5 mg / L: 168 days and the value is not reached, respectively (p = 0.017). In response duration ≥6 months neopterin value was lower than in disease progression: 8.6 nmol / l and 13.4 nmol / L, respectively (p <0,0001). Progression-free survival was lower in patients with neopterin ≥12 nmol / L than patients with neopterin <12 nmol / L: median was 164 days and the value was not reached, respectively (p = 0.0007). Based on the results of multivariate analysis, β-2-microglobulin ≥2.5 mg / L (p = 0.006) and neopterin ≥12 nmol / L (p = 0.027) were independent predictors of shorter progression-free survival. Low levels of interleukin 6 and interleukin 18, as well as antibodies to thyroperoxidase, are associated with a response of ≥6 months. HLA-DRB1*03 was associated with a duration of response of ≥6 months, as well as a longer progression-free survival compared with other allelic variants. The levels of β-2-microglobulin, neopterin, interleukin 6, interleukin 18 were higher in patients in Group 1 than in patients in Group 2 (p <0.0001).

Conclusion. Immunological markers can serve as promising prognosis markers in patients with advanced non-small cell lung cancer during immunotherapy.

About the authors

A. A. Musaelyan

I.P. Pavlov First Saint-Petersburg State Medical University; Research Institute of Medical Primatology

Author for correspondence.
Email: a.musaelyan8@gmail.com
ORCID iD: 0000-0002-7570-2256

Aram Ashotovich Musaelyan

L’va Tolstogo St., 6–8, Saint Petersburg 197022;

177 Mira St., Veseloe village, Sochi, Adler District, Krasnodar Territory 354376

Russian Federation

S. V. Lapin

I.P. Pavlov First Saint-Petersburg State Medical University

Email: fake@neicon.ru
ORCID iD: 0000-0002-4998-3699

L’va Tolstogo St., 6–8, Saint Petersburg 197022

Russian Federation

M. A. Urtenova

I.P. Pavlov First Saint-Petersburg State Medical University

Email: fake@neicon.ru

L’va Tolstogo St., 6–8, Saint Petersburg 197022

Russian Federation

S. V. Odintsova

I.P. Pavlov First Saint-Petersburg State Medical University

Email: fake@neicon.ru

L’va Tolstogo St., 6–8, Saint Petersburg 197022

Russian Federation

I. V. Chistyakov

I.P. Pavlov First Saint-Petersburg State Medical University

Email: fake@neicon.ru

L’va Tolstogo St., 6–8, Saint Petersburg 197022

Russian Federation

A. M. Ulitin

I.P. Pavlov First Saint-Petersburg State Medical University

Email: fake@neicon.ru

L’va Tolstogo St., 6–8, Saint Petersburg 197022

Russian Federation

N. T. Ismanbaev

I.P. Pavlov First Saint-Petersburg State Medical University

Email: fake@neicon.ru

L’va Tolstogo St., 6–8, Saint Petersburg 197022

Russian Federation

A. L. Akopov

I.P. Pavlov First Saint-Petersburg State Medical University

Email: fake@neicon.ru

L’va Tolstogo St., 6–8, Saint Petersburg 197022

Russian Federation

S. V. Orlov

I.P. Pavlov First Saint-Petersburg State Medical University; Research Institute of Medical Primatology

Email: fake@neicon.ru
ORCID iD: 0000-0001-6080-8042

L’va Tolstogo St., 6–8, Saint Petersburg 197022;

177 Mira St., Veseloe village, Sochi, Adler District, Krasnodar Territory 354376

 

Russian Federation

References

  1. Bai R., Lv Z., Xu D., Cui J. Predictive biomarkers for cancer immunotherapy with immune checkpoint inhibitors. Biomark Res 2020;8:34. doi: 10.1186/s40364-020-00209-0.
  2. Pourmir I., Gazeau B., de Saint Basile H., Fabre E. Biomarkers of resistance to immune checkpoint inhibitors in non-small-cell lung cancer: myth or reality? Cancer Drug Resist 2020;3:276–86. doi: 10.20517/cdr.2020.14.
  3. Möller M., Turzer S., Schütte W. et al. Blood immune cell biomarkers in patient with lung cancer undergoing treatment with checkpoint blockade. J Immunother 2020;43(2):57–66. doi: 10.1097/CJI.0000000000000297.
  4. Salmaninejad A., Valilou S.F., Shabgah A.G. et al. PD-1/PD-L1 pathway: basic biology and role in cancer immunotherapy. J Cell Physiol 2019;234(10):16824–37. doi: 10.1002/jcp.28358.
  5. Reck M., Rodríguez-Abreu D., Robinson A.G. et al. Pembrolizumab versus chemotherapy for PD-L1 – positive non–small-cell lung cancer. N Engl J Med 2016;375(19):1823–33. doi: 10.1056/NEJMoa1606774.
  6. Duchemann B., Remon J., Naigeon M. et al. Integrating circulating biomarkers in the immune checkpoint inhibitor treatment in lung cancer. Cancers (Basel) 2020;12(12):3625. doi: 10.3390/cancers12123625.
  7. Wang L., Hu Y., Wang S. et al. Biomarkers of immunotherapy in non-small cell lung cancer. Oncol Lett 2020;20(5):139. doi: 10.3892/ol.2020.11999.
  8. Prelaj A., Tay R., Ferrara R. et al. Predictive biomarkers of response for immune checkpoint inhibitors in non-small-cell lung cancer. Eur J Cancer 2019;106:144–59. doi: 10.1016/j.ejca.2018.11.002.
  9. Zhang H., Cui B., Zhou Y. et al. B2M overexpression correlates with malignancy and immune signatures in human gliomas. Sci Rep 2021;11:5045. doi: 10.1038/s41598-021-84465-6.
  10. Xie J., Wang Y., Freeman M.E. et al. β2-microglobulin as a negative regulator of the immune system: high concentrations of the protein inhibit in vitro generation of functional dendritic cells. Blood 2003;101(10):4005–12. doi: 10.1182/blood-2002-11-3368.
  11. Melichar B., Spisarová M., Bartoušková et al. Neopterin as a biomarker of immune response in cancer patients. Ann Transl Med 2017;5(13):280. doi: 10.21037/atm.2017.06.29.
  12. Keegan A., Ricciuti B., Garden P. et al. Plasma IL-6 changes correlate to PD-1 inhibitor responses in NSCLC. J Immunother Cancer 2020;8:e000678. doi: 10.1136/jitc-2020-000678.
  13. Hussaini S., Chehade R., Boldt R.G. et al. Association between immune-related side effects and efficacy and benefit of immune checkpoint inhibitors – A systematic review and meta-analysis. Cancer Treat Rev 2021;92:102134. doi: 10.1016/j.ctrv.2020.102134.
  14. Basak E.A., van der Meer J.W.M., Hurkmans D.P. et al. Overt thyroid dysfunction and anti-thyroid antibodies predict response to anti-PD-1 immunotherapy in cancer patients. Thyroid 2020;30(7):966–73. doi: 10.1089/thy.2019.0726.

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