Exploring the relationship between immune heterogeneity characteristic genes of rheumatoid arthritis and acute myeloid leukemia

Background People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoi...

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Vydáno v:Discover. Oncology Ročník 15; číslo 1; s. 1 - 16
Hlavní autoři: Jiang, Chengzhi, Jiang, Wenjuan, Liu, Pengtao, Sun, Wenxue, Teng, Wenjie
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 02.01.2024
Springer Nature B.V
Springer
Témata:
Acute myeloid leukemia
Algorithms
Biomarkers
Bone marrow
Cancer Research
Datasets
Gene expression
Internal Medicine
Leukemia
Machine learning
Medicine
Medicine & Public Health
Molecular Medicine
Oncology
Proteins
Radiotherapy
Rheumatoid arthritis
Sample size
Surgical Oncology
Therapeutic target
Biomarkers
Acute myeloid leukemia
Therapeutic target
Machine learning
ISSN:2730-6011, 2730-6011
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Shrnutí:Background People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoid arthritis research to obtain BM biomarkers for AML. Methods Synovial transcriptome sequencing data for RA and osteoarthritis (OA), and single-cell sequencing data for RA and controls were obtained from the GEO database.Bone marrow sequencing data for AML patients and normal subjects were obtained from the UCSC Xena database. The final immune heterogeneity characteristics of RA were determined through ssGSEA analysis, gene differential expression analysis, fuzzy c-means clustering algorithm, and XGboost algorithm. Random Ferns classifiers (RFs) are used to identify new bone marrow markers for AML. Results SELL, PTPRC, IL7R, CCR7, and KLRB1 were able to distinguish leukemia cells from normal cells well, with AUC values higher than 0.970. Conclusion Genes characterizing the immune heterogeneity of RA are associated with AML, and KLRBA may be a potential target for AML treatment.
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ISSN:2730-6011
2730-6011
DOI:10.1007/s12672-023-00852-7