Pre-Treatment Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Prognostic Biomarkers for Sentinel Lymph Node Positivity and Recurrence-Free Survival in Primary Cutaneous Melanoma: An Exploratory Single-Centre Retrospective Cohort St

Background and Objectives: Systemic inflammation contributes to melanoma progression, yet the prognostic value of routinely available inflammatory ratios remains insufficiently characterized in real-world cohorts. We evaluated whether pre-treatment neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are independently associated with sentinel lymph node (SLN) positivity, histopathologic aggressiveness, and recurrence-free survival (RFS) in primary cutaneous melanoma. Methods: In this single-center, retrospective, exploratory, observational cohort, 87 adults with histologically confirmed primary cutaneous melanoma were stratified by pre-treatment NLR using a cut-off of 3.0 into low-NLR (n = 47) and high-NLR (n = 40) groups. Outcomes included Breslow thickness, ulceration, mitotic rate, AJCC stage, SLN status, and RFS over a median follow-up of 38.4 months. Discrimination was assessed by receiver operating characteristic (ROC) analysis, time-to-event endpoints by Kaplan–Meier and Cox proportional-hazards modelling, and SLN positivity by multivariable logistic regression. Results: High-NLR patients had thicker (median 2.1 vs. 0.8 mm, p < 0.001), more frequently ulcerated (42.5% vs. 12.8%, p = 0.003), and more advanced melanomas (early stage 27.5% vs. 68.1%, p < 0.001). SLN positivity among biopsied patients was 35.5% vs. 8.7% (p = 0.027). For RFS, NLR ≥ 3.0 carried a univariable hazard ratio (HR) of 4.32 (95% CI 1.60–11.67) and remained independently prognostic after multivariable adjustment (adjusted HR 2.87, 95% CI 1.04–7.92, p = 0.042). An NLR + PLR composite outperformed Breslow thickness for predicting SLN positivity (AUC 0.829 vs. 0.702, DeLong p = 0.041). Conclusions: In this exploratory, single-center retrospective cohort, pre-treatment NLR and PLR were inexpensive, widely available biomarkers that were associated with prognostically relevant melanoma features and outcomes. These hypothesis-generating findings suggest that inflammatory ratios could complement conventional histopathologic predictors, but they were derived and tested within a single small cohort without independent validation and require confirmation in larger, prospective, multi-center studies before any clinical application.

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Journal
Biomedicines
Published
2026-07-16
DOI
https://doi.org/10.3390/biomedicines14071592
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Pre-Treatment Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Prognostic Biomarkers for Sentinel Lymph Node Positivity and Recurrence-Free Survival in Primary Cutaneous Melanoma: An Exploratory Single-Centre Retrospective Cohort St

Roxana Manuela Fericean, Silviu Brad, Alina Doina Tănase, Mihaela Iuliana Ciortan et al.
Biomedicines
Inflammatory Biomarkers in Disease Prognosis
article

Pre-Treatment Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Prognostic Biomarkers for Sentinel Lymph Node Positivity and Recurrence-Free Survival in Primary Cutaneous Melanoma: An Exploratory Single-Centre Retrospective Cohort St

Roxana Manuela Fericean, Silviu Brad, Alina Doina Tănase, Mihaela Iuliana Ciortan, Adrian Cosmin Ilie, Mihail-Alexandru Badea, Roxana Grigore, Constantin Tudor Bratiloveanu
article en

Abstract

Background and Objectives: Systemic inflammation contributes to melanoma progression, yet the prognostic value of routinely available inflammatory ratios remains insufficiently characterized in real-world cohorts. We evaluated whether pre-treatment neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are independently associated with sentinel lymph node (SLN) positivity, histopathologic aggressiveness, and recurrence-free survival (RFS) in primary cutaneous melanoma. Methods: In this single-center, retrospective, exploratory, observational cohort, 87 adults with histologically confirmed primary cutaneous melanoma were stratified by pre-treatment NLR using a cut-off of 3.0 into low-NLR (n = 47) and high-NLR (n = 40) groups. Outcomes included Breslow thickness, ulceration, mitotic rate, AJCC stage, SLN status, and RFS over a median follow-up of 38.4 months. Discrimination was assessed by receiver operating characteristic (ROC) analysis, time-to-event endpoints by Kaplan–Meier and Cox proportional-hazards modelling, and SLN positivity by multivariable logistic regression. Results: High-NLR patients had thicker (median 2.1 vs. 0.8 mm, p < 0.001), more frequently ulcerated (42.5% vs. 12.8%, p = 0.003), and more advanced melanomas (early stage 27.5% vs. 68.1%, p < 0.001). SLN positivity among biopsied patients was 35.5% vs. 8.7% (p = 0.027). For RFS, NLR ≥ 3.0 carried a univariable hazard ratio (HR) of 4.32 (95% CI 1.60–11.67) and remained independently prognostic after multivariable adjustment (adjusted HR 2.87, 95% CI 1.04–7.92, p = 0.042). An NLR + PLR composite outperformed Breslow thickness for predicting SLN positivity (AUC 0.829 vs. 0.702, DeLong p = 0.041). Conclusions: In this exploratory, single-center retrospective cohort, pre-treatment NLR and PLR were inexpensive, widely available biomarkers that were associated with prognostically relevant melanoma features and outcomes. These hypothesis-generating findings suggest that inflammatory ratios could complement conventional histopathologic predictors, but they were derived and tested within a single small cohort without independent validation and require confirmation in larger, prospective, multi-center studies before any clinical application.

BiomedicinesVol. 14(7)
University of Medicine and Pharmacy of Craiova (RO), Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș (RO), Victor Babeș University of Medicine and Pharmacy Timișoara (RO), University of Craiova (RO)
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Inflammatory Biomarkers in Disease Prognosis
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