# Circulating Tumor DNA in Melanoma: Advances in Detection, Clinical Applications, and Integration with Emerging Technologies

**Authors:** Nicole Charbel, Joe Rizkallah, Mark Nicolas Bal, Amal El Masri, Elsa Armache, Malak Ghezzawi, Ali Awada, Lara Kreidieh, Jad Mehdi, Firas Kreidieh

PMC · DOI: 10.3390/ijms27031569 · International Journal of Molecular Sciences · 2026-02-05

## TL;DR

Circulating tumor DNA is a promising non-invasive biomarker for melanoma that helps track disease progression and treatment response.

## Contribution

The paper reviews recent advances in ctDNA detection and integration with emerging technologies for melanoma management.

## Key findings

- ctDNA can detect early recurrence and estimate tumor burden in melanoma patients.
- ctDNA monitoring helps identify treatment responders and resistance mechanisms in advanced melanoma.
- New methods like fragmentomics and methylation assays aim to improve ctDNA sensitivity in low-tumor-burden cases.

## Abstract

Circulating tumor DNA (ctDNA) has gained increasing attention as a non-invasive biomarker with potential utility across multiple stages of melanoma. ctDNA reflects tumor-derived genetic alterations in real time and has shown value in detecting minimal residual disease, identifying early recurrence, estimating tumor burden, and monitoring response to systemic therapies. In early-stage melanoma, postoperative ctDNA positivity is strongly associated with higher recurrence risk and often precedes radiologic detection. In advanced disease, ctDNA correlates with tumor volume and can distinguish responders from non-responders during targeted therapy and immunotherapy, while also identifying emerging resistance mechanisms. Despite these advantages, clinical implementation remains limited by low shedding in early-stage disease, variation among detection platforms, and the absence of standardized clinical thresholds. Recent advances, including fragmentomics, methylation assays, and multi-target sequencing strategies, aim to improve sensitivity, particularly in low-tumor-burden settings. Integration of ctDNA with radiomics, artificial intelligence, and digital pathology represents an additional opportunity to enhance precision in risk stratification and treatment adaptation. This review summarizes current evidence on ctDNA biology, detection methods, and clinical applications in melanoma and outlines ongoing challenges and future directions required for translation into routine practice.

## Linked entities

- **Diseases:** melanoma (MONDO:0005105)

## Full-text entities

- **Diseases:** Tumor (MESH:D009369), Melanoma (MESH:D008545)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12898380/full.md

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12898380/full.md

## References

78 references — full list in the complete paper: https://tomesphere.com/paper/PMC12898380/full.md

---
Source: https://tomesphere.com/paper/PMC12898380