ecDNA gene in cancer

Comprehensive & high-quality

23274 unique ecDNA genes

58800 total records

27 cancers across 27 tissues

1000+ cancer genomes analyzed

Integumentary system [skin, hair, exocrine glands, fat, and nails] Skeletal system [bones, cartilage, ligaments and tendons] Muscular system [skeletal muscles, smooth muscles and cardiac muscle] Reproductive system [ovaries, fallopian tubes, uterus, vagina, vulva, mammary glands, penis, testicles, vas deferens, seminal vesicles and prostate] Urinary system [kidneys, ureters, bladder and urethra] Digestive and excretory system [teeth, tongue, salivary glands, esophagus, stomach, liver, gallbladder, pancreas, small intestine, large intestine, rectum and anus] Respiratory system [nose, mouth, paranasal sinuses, pharynx, larynx, trachea, bronchi, lungs and thoracic diaphragm] Circulatory system [blood, heart, arteries, veins, capillaries] Lymphatic system [lymph, lymph nodes, lymph vessels, tonsils, spleen, thymus] Endocrine system [hypothalamus, pituitary, pineal gland, thyroid, parathyroid and adrenal glands, ovaries, testes] Nervous system [brain, spinal cord, nerves, sensory organs and the following sensory systems (nervous subsystems): visual system, Olfactory system, taste (gustatory system), hearing (auditory system)]

ecDNA gene distribution in 11 human organ systems

Dedicated tools
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Venn analysis

Find the appearance of ecDNA genes from the gene list of your interest.

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Enrichment analysis

Find statistically enriched terms of predefined ecDNA gene sets in your gene list.

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Target discovery

Find ecDNA genes as targets that are highly expressed in the experimental data in comparison with reference expression levels across normal human cells and tissues.

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Differential expression analysis

Find differentially expressed ecDNA genes between two groups of samples.

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Signature discovery

Find ecDNA genes as a predictive signature capable of classifying samples into groups by machine learning models.

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