Baseline Red Blood Cell Distribution Width as a Prognostic Marker in High-Risk Resected Cutaneous Melanoma
Omer Ekin, Oktay Halit Aktepe

TL;DR
High red blood cell distribution width (RDW) is linked to worse outcomes in patients with high-risk melanoma, offering a new way to predict recurrence.
Contribution
Baseline RDW is shown as an independent prognostic marker for relapse-free survival in high-risk resected cutaneous melanoma.
Findings
High RDW was associated with significantly shorter relapse-free survival in melanoma patients.
RDW remained an independent predictor of recurrence after adjusting for other key factors.
Stage III disease was also an independent predictor of worse relapse-free survival.
Abstract
Background and Objectives: High-risk resected cutaneous melanoma carries a substantial risk of recurrence, and additional host-related prognostic biomarkers are needed beyond conventional tumor-centered factors. Red blood cell distribution width (RDW) reflects systemic inflammation and physiological stress and may provide incremental prognostic information. Materials and Methods: In this retrospective cohort study, 164 patients with stage II–III cutaneous melanoma who underwent curative-intent surgical resection were analyzed. A receiver operating characteristic (ROC) curve analysis determined the optimal RDW cut-off for relapse-free survival (RFS), which was 14.2%. Patients were categorized into low and high RDW groups accordingly. Survival probabilities were estimated using the Kaplan–Meier method and compared with the log-rank test. Univariate and multivariate Cox proportional…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInflammatory Biomarkers in Disease Prognosis · Cancer Immunotherapy and Biomarkers · Ferroptosis and cancer prognosis
