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Small intestine neuroendocrine tumor Small intestine neuroendocrine tumorNeuroendocrine tumors are a diverse group of neoplasms that arise from cells of the endocrine system and can be classified based on hormone production and anatomical origin. Neuroendocrine tumors that produce hormones are considered functional, and those producing insignificant amounts of hormones are nonfunctional (Oronsky B et al. (2017)). The small intestine connects the stomach and large intestine; it is primarily responsible for chemical digestion. The small intestine is the second most common location of neuroendocrine tumors, after the lung. These neuroendocrine tumors are diagnosed via imaging techniques, histological confirmation of endoscopic biopsy, and the use of biomarkers such as Chromogranin A, pancreastatin, and serotonin. Treatment includes localized resection, chemotherapy, and somatostatin analogs to prevent hormone overproduction (Gonzáles-Yovera JG et al. (2022)). 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 Human Protein Atlas
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