Journal
CANCER IMMUNOLOGY IMMUNOTHERAPY
Volume 69, Issue 4, Pages 559-568Publisher
SPRINGER
DOI: 10.1007/s00262-019-02478-7
Keywords
Neutrophil-lymphocyte ratio; Platelet-lymphocyte ratio; Lymphocyte-monocyte ratio; Cutaneous melanoma; Recurrence; Biomarker
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Funding
- National Institute for Health Research [DRF-2018-11-ST2-028] Funding Source: Medline
- Department of Health [DRF-2018-11-ST2-028] Funding Source: Medline
- National Institutes of Health Research (NIHR) [DRF-2018-11-ST2-028] Funding Source: National Institutes of Health Research (NIHR)
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Objectives The neutrophil-lymphocyte ratio (NLR) is an inflammatory biomarker which is useful in cancer prognostication. We aimed to investigate the differences in baseline NLR between patients with localised and metastatic cutaneous melanoma and how this biomarker changed over time with the recurrence of disease. Methods This multicentre cohort study describes patients treated for Stage I-III cutaneous melanoma over 10 years. The baseline NLR was measured immediately prior to surgery and again at the time of discharge or disease recurrence. The odds ratios (OR) for sentinel node involvement are estimated using mixed-effects logistic regression. The risk of recurrence is estimated using multivariable Cox regression. Results Overall 1489 individuals were included. The mean baseline NLR was higher in patients with palpable nodal disease compared to those with microscopic nodal or localised disease (2.8 versus 2.4 and 2.3, respectively; p < 0.001). A baseline NLR >= 2.3 was associated with 30% higher odds of microscopic metastatic melanoma in the sentinel lymph node [adjusted OR 1.3 (95% CI 1.3, 1.3)]. Following surgery, 253 patients (18.7%) developed recurrent melanoma during surveillance although there was no statistically significant association between the baseline NLR and the risk of recurrence [adjusted HR 0.9 (0.7, 1.1)]. Conclusion The NLR is associated with the volume of melanoma at presentation and may predict occult sentinel lymph metastases. Further prospective work is required to investigate how NLR may be modelled against other clinicopathological variables to predict outcomes and to understand the temporal changes in NLR following surgery for melanoma.
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