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DOI 10.2174/1386207322666181231151900

Медицинская библиотека · Combinatorial chemistry & high throughput screening · 2020

Analysis of Four Types of Leukemia Using Gene Ontology Term and Kyoto Encyclopedia of Genes and Genomes Pathway Enrichment Scores.

Lu Jing, Zhang YuHang, Wang ShaoPeng, Bi Yi, Huang Tao, Luo Xiaomin, Cai Yu-Dong

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

AIM AND

OBJECTIVE

Leukemia is the second common blood cancer after lymphoma, and its incidence rate has an increasing trend in recent years. Leukemia can be classified into four types: acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), chronic lymphocytic leukemia (CLL), and chronic myelogenous leukemia (CML). More than forty drugs are applicable to different types of leukemia based on the discrepant pathogenesis. Therefore, the identification of specific drug-targeted biological processes and pathways is helpful to determinate the underlying pathogenesis among such four types of leukemia.

METHODS

In this study, the gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways that were highly related to drugs for leukemia were investigated for the first time. The enrichment scores for associated GO terms and KEGG pathways were calculated to evaluate the drugs and leukemia. The feature selection method, minimum redundancy maximum relevance (mRMR), was used to analyze and identify important GO terms and KEGG pathways.

RESULTS

Twenty Go terms and two KEGG pathways with high scores have all been confirmed to effectively distinguish four types of leukemia.

CONCLUSION

This analysis may provide a useful tool for the discrepant pathogenesis and drug design of different types of leukemia.

Для цитирования: Lu Jing, Zhang YuHang, Wang ShaoPeng, Bi Yi, Huang Tao, Luo Xiaomin, Cai Yu-Dong. Analysis of Four Types of Leukemia Using Gene Ontology Term and Kyoto Encyclopedia of Genes and Genomes Pathway Enrichment Scores.. Combinatorial chemistry & high throughput screening. 2020. DOI: 10.2174/1386207322666181231151900.

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