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Acute myeloid leukemia Acute myeloid leukemiaLeukemias are cancers that start in cells that would normally turn into white blood cells. Acute myeloid leukemia (AML) is a cancer of the myeloid cells and “acute” means that it progresses aggressively and quickly, which means treatment must be started immediatly. AML is characterized by rapid growth of abnormal myeloid cells that build up in the blood and bone marrow and interfere with normal blood cell production (Shimony S et al. (2023)). Patients typically have heterogenous symptoms, including infection, anemia, fatigue, and bleeding. Thus, bone marrow aspiration is critical to assess the percentage of blast cells for accurate diagnosis and classification of AML (Pelcovits A et al. (2020)). Risk factors include smoking, high body mass index, and high occupational exposure to benzene or formaldehyde (Yi M et al. (2020)). If left untreated, it can be fatal within weeks or months, and it can spread to other parts of the body, including the lymph nodes, liver, spleen, central nervous system and testicles. AML makes up approximately one third of all adult leukemia cases but about 1% of all cancer cases in total (Pelcovits A et al. (2020)). 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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The Project
The Human Protein Atlas
The Human Protein Atlas project is funded
