Molecular Classifiers in Skin Cancers: Challenges and Promises.

Area of Science:

• Oncology
• Genomics
• Molecular Biology

Background:

• Skin cancers are prevalent and diverse malignancies with significant mortality and management costs.
• Current diagnostic and prognostic methods face challenges due to poorly defined clinical and histopathological features.
• Recent advancements in large-scale 'omics' studies are transforming our understanding of skin cancer.

Purpose of the Study:

• To review recent advancements in omics approaches for skin cancer research.
• To appraise the limitations and potential of omics for improved skin cancer classification and stratification.
• To highlight how omics data can refine prognostication and therapeutic strategies.

Main Methods:

• Review of recent large-scale 'omics' studies including genomics, transcriptomics, proteomics, metabolomics, and imaging-omics.
• Analysis of how these approaches provide molecular and visual landscape information.
• Evaluation of the impact on tumor classification, prognostication, and therapeutic stratification.

Main Results:

• Omics studies have provided invaluable molecular and visual data on skin cancers.
• These approaches have refined tumor classification and improved prognostication.
• Enhanced therapeutic stratification has led to better patient outcomes.

Conclusions:

• Omics technologies are crucial for advancing the understanding and management of skin cancers.
• Continued research in omics holds significant potential for personalized medicine in dermatology.
• Addressing the limitations of omics will further enhance their clinical utility in skin cancer care.