Skip to main content

Advertisement

Log in

The lymphocyte-to-monocyte ratio as a prognostic indicator in head and neck cancer: a systematic review and meta-analysis

  • Review Article
  • Published:
European Archives of Oto-Rhino-Laryngology Aims and scope Submit manuscript

Abstract

Purpose

The aim of this systematic review and meta-analysis was to investigate the relationship between the pre-treatment lymphocyte-to-monocyte ratio (LMR) and prognosis in HNC.

Methods

PubMed (via the Web), Embase, Scopus, and the Cochrane Library were searched. A systematic review and meta-analysis was done to generate the pooled hazard ratios (HR) for overall survival (OS) and disease-free survival (DFS).

Results

Our analysis included the results of 4260 patients in seven cohorts. The pooled data demonstrated that an elevated LMR was associated with significantly improved OS (HR 0.5; 95% CI 0.44–0.57), and DFS (HR 0.70; 95% CI 0.62–0.80). Of note, there was no detectable heterogeneity in either OS (I2 = 0%) or DFS (I2 = 0%).

Conclusions

An elevated LMR may be an indicator of favorable prognosis in HNC. However, our results should be interpreted with some degree of caution due to the retrospective nature of cohort studies. Further research with high-quality prospective studies is needed to confirm the effect of LMR in HNC prognosis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Jemal A, Bray F, Center MM et al (2011) Global cancer statistics. CA Cancer J Clin 61(2):69–90

    Article  PubMed  Google Scholar 

  2. Grivennikov SI, Greten FR, Karin M (2010) Immunity, inflammation, and cancer. Cell 140(6):883–99

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  3. O’callaghan DS, O’donnell D, O’connell F, O’byrne KJ (2010) The role of inflammation in the pathogenesis of non-small cell lung cancer. J Thorac Oncol 5(12):2024–2036

    Article  PubMed  Google Scholar 

  4. Aggarwal BB, Vijayalekshmi R, Sung B (2009) Targeting inflammatory pathways for prevention and therapy of cancer: short-term friend, long-term foe. Clin Cancer Res 15(2):425–30

    Article  PubMed  CAS  Google Scholar 

  5. Teng J-J, Zhang J, Zhang T-Y, Zhang S, Li B-S (2016) Prognostic value of peripheral blood lymphocyte-to-monocyte ratio in patients with solid tumors: a meta-analysis. Onco Targets Ther 9:37

    PubMed  CAS  Google Scholar 

  6. Su L, Zhang M, Zhang W, Cai C, Hong J (2017) Pretreatment hematologic markers as prognostic factors in patients with nasopharyngeal carcinoma: a systematic review and meta-analysis. Medicine 96(11):e6364

    Article  PubMed  PubMed Central  Google Scholar 

  7. Macaskill P, Gatsonis C, Deeks J, Harbord R, Takwoingi Y. Cochrane handbook for systematic reviews of diagnostic test accuracy. Version 09 0 London: The Cochrane Collaboration. 2010

  8. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(7):e1000097

    Article  PubMed  PubMed Central  Google Scholar 

  9. Stroup DF, Berlin JA, Morton SC et al (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. JAMA 283(15):2008–2012

    Article  PubMed  CAS  Google Scholar 

  10. PROSPERO ID:80658 [Internet]. 2017. Available from: https://www.crd.york.ac.uk/prospero/ [Pending Approval]

  11. Hayden JA, van der Windt DA, Cartwright JL, Côté P, Bombardier C (2013) Assessing bias in studies of prognostic factors. Ann Intern Med 158(4):280–286

    Article  PubMed  Google Scholar 

  12. Hsueh C, Tao L, Zhang M et al (2017) The prognostic value of preoperative neutrophils, platelets, lymphocytes, monocytes and calculated ratios in patients with laryngeal squamous cell cancer. Oncotarget 8(36):60514

    Article  PubMed  PubMed Central  Google Scholar 

  13. Szekely G, Remenar E, Kasler M, Bodrog A, Gundy S (2001) Validity of chromosome analysis and bleomycin sensitivity assay in the prevention of head and neck cancer in Hungary. Orv Hetil 142(12):611–616

    PubMed  CAS  Google Scholar 

  14. Rosenthal R (1979) The file drawer problem and tolerance for null results. Psychol Bull 86(3):638

    Article  Google Scholar 

  15. Suurmond R, Rhee H, Hak T (2017) Introduction, comparison, and validation of Meta‐Essentials: a free and simple tool for meta‐analysis. Res Synth Methods 8(4):537–553

    Article  Google Scholar 

  16. Li J, Jiang R, Liu W-S et al (2013) A large cohort study reveals the association of elevated peripheral blood lymphocyte-to-monocyte ratio with favorable prognosis in nasopharyngeal carcinoma. PLoS One 8(12):e83069

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Li MX, Liu XM, Zhang XF et al (2014) Prognostic role of neutrophil-to-lymphocyte ratio in colorectal cancer: a systematic review and meta-analysis. Int J Cancer 134(10):2403–2413

    Article  PubMed  CAS  Google Scholar 

  18. Jiang R, Cai X-Y, Yang Z-H et al (2015) Elevated peripheral blood lymphocyte-to-monocyte ratio predicts a favorable prognosis in the patients with metastatic nasopharyngeal carcinoma. Chin J Cancer 34(3):23

    Article  PubMed Central  CAS  Google Scholar 

  19. Kano S, Homma A, Hatakeyama H et al (2017) Pretreatment lymphocyte-to-monocyte ratio as an independent prognostic factor for head and neck cancer. Head Neck 39(2):247–53

    Article  PubMed  Google Scholar 

  20. Ong HS, Gokavarapu S, Wang LZ, Tian Z, Zhang CP (2016) Low pretreatment lymphocyte–monocyte ratio and high platelet–lymphocyte ratio indicate poor cancer outcome in early tongue cancer. J Oral Maxillofac Surg 75(8):1762–1774

    Google Scholar 

  21. Lin G-N, Peng J-W, Liu D-Y et al (2014) Increased lymphocyte to monocyte ratio is associated with better prognosis in patients with newly diagnosed metastatic nasopharyngeal carcinoma receiving chemotherapy. Tumor Biol 35(11):10849–10854

    Article  CAS  Google Scholar 

  22. Li XH, Chang H, Xu BQ et al (2016) An inflammatory biomarker-based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study. Cancer Med 6(1):310–319

    Google Scholar 

  23. Ryan R; Cochrane Consumers and Communication Review Group (2016) Heterogeneity and subgroup analyses in cochrane consumers and communication group reviews: planning the analysis at protocol stage. http://cccrg.cochrane.org

  24. Lu H, Ouyang W, Huang C (2006) Inflammation, a key event in cancer development. Mol Cancer Res 4(4):221–33

    Article  PubMed  CAS  Google Scholar 

  25. Gooden MJ, de Bock GH, Leffers N, Daemen T, Nijman HW (2011) The prognostic influence of tumour-infiltrating lymphocytes in cancer: a systematic review with meta-analysis. Br J Cancer 105(1):93–103

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Pollard JW (2004) Tumour-educated macrophages promote tumour progression and metastasis. Nat Rev Cancer 4(1):71–8

    Article  PubMed  CAS  Google Scholar 

  27. Xiong M, Elson G, Legarda D, Leibovich SJ (1998) Production of vascular endothelial growth factor by murine macrophages: regulation by hypoxia, lactate, and the inducible nitric oxide synthase pathway. Am J Pathol 153(2):587–98

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Lin G-N, Peng J-W, Xiao J-j, Liu D-Y, Xia Z-J (2014) Prognostic impact of circulating monocytes and lymphocyte-to-monocyte ratio on previously untreated metastatic non-small cell lung cancer patients receiving platinum-based doublet. Med Oncol 31(7):70

    Article  PubMed  CAS  Google Scholar 

  29. Zhang G-M, Zhu Y, Luo L et al (2015) Preoperative lymphocyte-monocyte and platelet-lymphocyte ratios as predictors of overall survival in patients with bladder cancer undergoing radical cystectomy. Tumor Biol 36(11):8537–8543

    Article  CAS  Google Scholar 

  30. Qi Q, Geng Y, Sun M, Wang P, Chen Z (2015) Clinical implications of systemic inflammatory response markers as independent prognostic factors for advanced pancreatic cancer. Pancreatology 15(2):145–50

    Article  PubMed  CAS  Google Scholar 

  31. Szkandera J, Gerger A, Liegl-Atzwanger B et al (2014) The lymphocyte/monocyte ratio predicts poor clinical outcome and improves the predictive accuracy in patients with soft tissue sarcomas. Int J Cancer 135(2):362–70

    Article  PubMed  CAS  Google Scholar 

  32. Templeton AJ, McNamara MG, Šeruga B et al (2014) Prognostic role of neutrophil-to-lymphocyte ratio in solid tumors: a systematic review and meta-analysis. J Natl Cancer Inst 106(6):dju124

    Article  PubMed  CAS  Google Scholar 

  33. McMillan DC (2013) The systemic inflammation-based Glasgow Prognostic Score: a decade of experience in patients with cancer. Cancer Treat Rev 39(5):534–40

    Article  PubMed  Google Scholar 

Download references

Funding

No funding was received for this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tristan Tham.

Ethics declarations

Conflict of interest

The authors have no financial or personal disclosures, or conflicts of interest.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tham, T., Olson, C., Khaymovich, J. et al. The lymphocyte-to-monocyte ratio as a prognostic indicator in head and neck cancer: a systematic review and meta-analysis. Eur Arch Otorhinolaryngol 275, 1663–1670 (2018). https://doi.org/10.1007/s00405-018-4972-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00405-018-4972-x

Keywords

Navigation