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Related Concept Videos

Skin Cancer01:30

Skin Cancer

Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...

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Articles linked to this work by shared authors, journal, and citation graph.

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Annals of oncology : official journal of the European Society for Medical Oncology·2025
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An update on access to novel treatment for metastatic melanoma in Europe - A 2024 survey of the European melanoma registry and the European association of dermato-oncology.

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Related Experiment Video

Updated: Jun 21, 2026

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
07:41

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

Published on: March 8, 2022

Biomarkers in melanoma.

H Gogas1, A M M Eggermont, A Hauschild

  • 1First Department of Medicine, Medical School, University of Athens, Greece. hgogas@hol.gr

Annals of Oncology : Official Journal of the European Society for Medical Oncology
|July 21, 2009
PubMed
Summary

Identifying reliable melanoma biomarkers is crucial for predicting patient prognosis and treatment. This review highlights promising tissue and serum biomarkers, emphasizing the need for further clinical validation to improve melanoma classification and patient selection for therapies.

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Last Updated: Jun 21, 2026

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Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Biomarkers correlate with tumor behavior and patient prognosis.
  • High-throughput techniques like DNA and RNA microarrays have identified potential melanoma biomarkers.
  • The clinical relevance of these biomarkers for melanoma progression and treatment selection requires further investigation.

Purpose of the Study:

  • To review predictive tissue and serum biomarkers for melanoma.
  • To discuss the molecular basis of established predictive biomarkers.
  • To identify promising novel biomarkers for future validation.

Main Methods:

  • Review of literature on melanoma biomarkers.
  • Analysis of data from DNA and RNA microarrays.
  • Discussion of established and investigational serum biomarkers.

Main Results:

  • Established tissue biomarkers include melanoma thickness, ulceration, and mitotic activity.
  • Tissue microarrays have identified novel potential biomarkers requiring independent validation.
  • Common serum biomarkers (lactate dehydrogenase, S100B, melanoma-inhibiting activity) and investigational markers (TA90IC, YKL-40) are discussed.

Conclusions:

  • Accurate classification of melanomas and selection of patients for targeted therapies remain significant challenges.
  • Further validation of identified biomarkers using prospective clinical data is essential.
  • Advancing biomarker research is critical for improving melanoma management and patient outcomes.