Predicting Recurrence in Early Melanoma - Report - MDSpire

Predicting Recurrence in Early Melanoma

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  • Andrea Surnit

  • April 1, 2026

  • 3 min

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Clinical Report: Predicting Recurrence in Early Melanoma

Overview

Revise to ensure accurate representation of recurrence rate and follow-up duration.

Background

Understanding the factors that predict recurrence in early melanoma is crucial for improving patient outcomes and tailoring surveillance strategies. Current staging systems may not fully capture all relevant risk factors, necessitating further investigation into additional pathologic features. This study aims to refine risk assessment and inform clinical decision-making for melanoma management.

Data Highlights

Cross-check and confirm the recurrence rates for each stage with the original study.

Key Findings

  • 16% of patients experienced recurrence over a median follow-up of 7 years.
  • Recurrence rates increased from 4% in stage IA to 37% in stage IIB.
  • Distant recurrence was the most common pattern, accounting for 48% of cases.
  • Ulceration and increasing tumor thickness were significantly associated with recurrence.
  • Melanomas located on the scalp or neck had a higher likelihood of recurrence compared to those on the arms.
  • Additional factors such as neurotropism and lymphovascular invasion were linked to shorter time to recurrence.

Clinical Implications

Clinicians should consider ulceration, tumor thickness, and anatomic site when assessing recurrence risk in melanoma patients. Incorporating additional pathologic features into surveillance protocols may enhance early detection of recurrences and improve patient management.

Conclusion

Strengthen the call for further research to validate and refine staging criteria.

References

  1. Mundada M, et al., JAMA Dermatology, 2023 -- Predicting Recurrence in Early Melanoma
  2. Syeda N, et al., The Lance, 2025 -- Can ctDNA Monitoring Help to Predict Melanoma Recurrence?
  3. The Journal of Clinical Endocrinology & Metabolism, 2023 -- Machine Learning Prediction of Recurrence in Pediatric Thyroid Cancer
  4. Speers C, et al., ASCO Breakthrough, 2019 -- Breast Cancer Gene-Expression Signature May Help Predict Recurrence Postradiotherapy
  5. the asco post — Melanoma: Can AI Enable Diagnosis Prediction?
  6. Clinical and Pathologic Factors in Stage I and II Melanoma Recurrence
  7. Pembrolizumab versus placebo as adjuvant therapy in resected stage IIB or IIC melanoma
  8. European Journal of Cancer 215 (2025) 115152

Original Source(s)

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