Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms

Yousra A. Hagyousif, Basma M. Sharaf, Ruba A. Zenati, Waseem El-Huneidi, Yasser Bustanji, Eman Abu-Gharbieh, Mohammad A.Y. Alqudah, Alexander D. Giddey, Ahmad Y. Abuhelwa, Karem H. Alzoubi, Nelson C. Soares, Mohammad H. Semreen

Research output: Contribution to journalReview articlepeer-review

7 Citations (Scopus)
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Skin cancer, including malignant melanoma (MM) and keratinocyte carcinoma (KC), historically named non-melanoma skin cancers (NMSC), represents the most common type of cancer among the white skin population. Despite decades of clinical research, the incidence rate of melanoma is increasing globally. Therefore, a better understanding of disease pathogenesis and resistance mechanisms is considered vital to accomplish early diagnosis and satisfactory control. The “Omics” field has recently gained attention, as it can help in identifying and exploring metabolites and metabolic pathways that assist cancer cells in proliferation, which can be further utilized to improve the diagnosis and treatment of skin cancer. Although skin tissues contain diverse metabolic enzymes, it remains challenging to fully characterize these metabolites. Metabolomics is a powerful omics technique that allows us to measure and compare a vast array of metabolites in a biological sample. This technology enables us to study the dermal metabolic effects and get a clear explanation of the pathogenesis of skin diseases. The purpose of this literature review is to illustrate how metabolomics technology can be used to evaluate the metabolic profile of human skin cancer, using a variety of analytical platforms including gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), and nuclear magnetic resonance (NMR). Data collection has not been based on any analytical method.

Original languageEnglish
Article number1604
Number of pages22
JournalInternational Journal of Molecular Sciences
Issue number2
Publication statusPublished - 2 Jan 2023
Externally publishedYes


  • analytical platforms
  • biomarkers
  • cancer
  • metabolic profile
  • metabolomic
  • omics
  • proteomic
  • skin cancer


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