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Updated: Feb 17, 2026

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Spatial and Temporal Control of Murine Melanoma Initiation from Mutant Melanocyte Stem Cells
Published on: June 7, 2019
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Multi-omic biomarker detection in UV-induced melanoma
Safar M Alqahtani1, Muhammad Afzal2, Obaid Afzal1
1Department of Pharmaceutical Chemistry, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
Clinica Chimica Acta; International Journal of Clinical Chemistry
|February 15, 2026
Summary
Multi-omic biomarkers in blood offer minimally invasive monitoring for UV-induced melanoma. Challenges remain in clinical translation due to analytical variability and validation gaps, requiring standardization for effective use.
Area of Science:
- Oncology
- Molecular Diagnostics
- Laboratory Medicine
Background:
- UV radiation-induced melanoma has distinct multi-omic signatures detectable in bodily fluids.
- Current biomarker discovery faces challenges in clinical translation due to analytical variability and lack of validation.
Purpose of the Study:
- To critically evaluate multi-omic biomarkers for UV-induced melanoma within clinical chemistry and diagnostic laboratory medicine.
- To emphasize robust analytical qualities, pre-analytical standardization, and clinical validation for biomarker utility.
Main Methods:
- Review of circulating tumor DNA (ctDNA) for mutation tracking (BRAF, NRAS, TERT) using ddPCR and NGS.
- Evaluation of epigenetic (RASSF1A methylation), miRNA, protein (S100B, CRP, IL-8), and metabolomic biomarkers.
- Assessment of analytical variability, pre-analytical confounders, and clinical utility.
Main Results:
- Longitudinal ctDNA dynamics show high concordance with tissue genotypes and may predict radiographic progression.
- Epigenetic and miRNA signatures show potential for diagnostic and prognostic stratification.
- Protein and metabolomic profiles indicate utility in therapy monitoring and treatment response assessment.
Conclusions:
- Standardization of specimen handling, reference materials, and analytical performance reporting is crucial for clinical utility.
- Addressing pre-analytical confounders and analytical variations is essential for biomarker translation.
- Multi-omic approaches, when rigorously validated and standardized, hold promise for minimally invasive melanoma monitoring.

