Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms.
Yousra A HagyousifBasma M SharafRuba A ZenatiWaseem El-HuneidiYasser K BustanjiEman Abu-GharbiehMohammad A Y AlqudahAlexander D GiddeyAhmad Y AbuhelwaKarem H AlzoubiNelson Cruz SoaresMohammad Harb SemreenPublished in: International journal of molecular sciences (2023)
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.
Keyphrases
- skin cancer
- liquid chromatography
- mass spectrometry
- magnetic resonance
- high resolution
- wound healing
- gas chromatography mass spectrometry
- high resolution mass spectrometry
- ms ms
- soft tissue
- tandem mass spectrometry
- gas chromatography
- endothelial cells
- solid phase extraction
- gene expression
- high performance liquid chromatography
- single cell
- computed tomography
- squamous cell carcinoma
- risk factors
- simultaneous determination
- signaling pathway
- high throughput
- big data
- contrast enhanced
- data analysis
- solid state