Pretreatment neutrophil-to-lymphocyte ratio and mutational burden as biomarkers of tumor response to immune checkpoint inhibitors Journal Article


Authors: Valero, C.; Lee, M.; Hoen, D.; Weiss, K.; Kelly, D. W.; Adusumilli, P. S.; Paik, P. K.; Plitas, G.; Ladanyi, M.; Postow, M. A.; Ariyan, C. E.; Shoushtari, A. N.; Balachandran, V. P.; Hakimi, A. A.; Crago, A. M.; Long Roche, K. C.; Smith, J. J.; Ganly, I.; Wong, R. J.; Patel, S. G.; Shah, J. P.; Lee, N. Y.; Riaz, N.; Wang, J.; Zehir, A.; Berger, M. F.; Chan, T. A.; Seshan, V. E.; Morris, L. G. T.
Article Title: Pretreatment neutrophil-to-lymphocyte ratio and mutational burden as biomarkers of tumor response to immune checkpoint inhibitors
Abstract: Treatment with immune checkpoint inhibitors (ICI) has demonstrated clinical benefit for a wide range of cancer types. Because only a subset of patients experience clinical benefit, there is a strong need for biomarkers that are easily accessible across diverse practice settings. Here, in a retrospective cohort study of 1714 patients with 16 different cancer types treated with ICI, we show that higher neutrophil-to-lymphocyte ratio (NLR) is significantly associated with poorer overall and progression-free survival, and lower rates of response and clinical benefit, after ICI therapy across multiple cancer types. Combining NLR with tumor mutational burden (TMB), the probability of benefit from ICI is significantly higher (OR = 3.22; 95% CI, 2.26-4.58; P < 0.001) in the NLR low/TMB high group compared to the NLR high/TMB low group. NLR is a suitable candidate for a cost-effective and widely accessible biomarker, and can be combined with TMB for additional predictive capacity. © 2021, The Author(s).
Journal Title: Nature Communications
Volume: 12
ISSN: 2041-1723
Publisher: Nature Publishing Group  
Date Published: 2021-02-01
Start Page: 729
Language: English
DOI: 10.1038/s41467-021-20935-9
PUBMED: 33526794
PROVIDER: scopus
PMCID: PMC7851155
DOI/URL:
Notes: Article -- Export Date: 1 March 2021 -- Source: Scopus
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MSK Authors
  1. Venkatraman Ennapadam Seshan
    382 Seshan
  2. Timothy Chan
    317 Chan
  3. Snehal G Patel
    412 Patel
  4. Michael Andrew Postow
    362 Postow
  5. Nadeem Riaz
    417 Riaz
  6. Nancy Y. Lee
    876 Lee
  7. Marc Ladanyi
    1328 Ladanyi
  8. George Plitas
    107 Plitas
  9. Richard J Wong
    415 Wong
  10. Paul K Paik
    255 Paik
  11. Luc Morris
    279 Morris
  12. Aimee Marie Crago
    106 Crago
  13. Charlotte Eielson Ariyan
    154 Ariyan
  14. Ahmet Zehir
    343 Zehir
  15. Ian Ganly
    431 Ganly
  16. Michael Forman Berger
    765 Berger
  17. Jatin P Shah
    721 Shah
  18. Abraham Ari Hakimi
    324 Hakimi
  19. Jesse Joshua Smith
    221 Smith
  20. Daniel William Kelly
    29 Kelly
  21. Douglas Robert Hoen
    10 Hoen
  22. Mark Lee
    15 Lee
  23. Jingming Wang
    8 Wang
  24. Kate Weiss
    10 Weiss