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Melanoma MelanomaMelanoma is a highly aggressive skin cancer that develops from melanocytes, the pigment-producing cells in the skin (Heistein JB et al. (2024)). It most commonly occurs on areas of the body exposed to the sun, such as the arms, back, face, and legs, but can also develop in the eyes, nose, or throat. Common signs and symptoms include a change in an existing mole or the appearance of a new spot with irregular borders, varying colors, itching, or bleeding (Heistein JB et al. (2024)). Risk factors include excessive exposure to ultraviolet (UV) radiation from the sun or tanning beds, having many moles, a family history of melanoma, fair skin, and a weakened immune system (Rastrelli M et al. (2014)). Diagnosis early is critical, and melanoma can be treated through surgical resection in its early stages. However, metastases become difficult to treat as the cells invade blood and lymphatic vessels (Heistein JB et al. (2024)). Differential Abundance Analysis ResultsThis section presents the results of the differential protein abundance analysis, visualized through a volcano plot and summarized in the accompanying table for all three comparisons: 1) disease vs. healthy samples, 2) disease vs. diseases from the same class, and 3) disease vs. all other diseases. Disease vs Healthy
Disease vs Class
Disease vs All other
Figure 1: In the volcano plot, proteins are plotted based on their fold change (logFC) on the x-axis and the statistical significance of the change (-log10 adjusted p-value) on the y-axis. Proteins considered differentially abundant are highlighted, defined by an adjusted p-value < 0.05 and an absolute logFC > 0.5.
Table 1: The summary table lists the results for all comparisons, sorted by p-value by default. It includes key metrics such as fold change and adjusted p-value, to allow exploration of the most significant proteins for each comparison.
Figure 1: In the volcano plot, proteins are plotted based on their fold change (logFC) on the x-axis and the statistical significance of the change (-log10 adjusted p-value) on the y-axis. Proteins considered differentially abundant are highlighted, defined by an adjusted p-value < 0.05 and an absolute logFC > 0.5.
Table 1: The summary table lists the results for all comparisons, sorted by p-value by default. It includes key metrics such as fold change and adjusted p-value, to allow exploration of the most significant proteins for each comparison.
Figure 1: In the volcano plot, proteins are plotted based on their fold change (logFC) on the x-axis and the statistical significance of the change (-log10 adjusted p-value) on the y-axis. Proteins considered differentially abundant are highlighted, defined by an adjusted p-value < 0.05 and an absolute logFC > 0.5.
Table 1: The summary table lists the results for all comparisons, sorted by p-value by default. It includes key metrics such as fold change and adjusted p-value, to allow exploration of the most significant proteins for each comparison.
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Contact
The Project
The Human Protein Atlas
The Human Protein Atlas project is funded
