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Discovery of Dysimmunity in Large Granular Lymphocytic Leukemia (LGLL) using Bioinformatic Analysis by Guang Lu, Jun Du, Weiwei Mou, Jing Hu, Xin-le Han

Background: Large granular lymphocytic leukemia (LGLL) is a chronic lymphoproliferative disorder characterized by the clonal proliferation of large granular lymphocytes (LGL), classified as T and NK subtypes. Although JAK/STAT pathway gene mutation, such as STAT3/STAT5B, is the dominant driver in the proliferation of LGLL, immune abnormality remains an unsolved puzzle in the pathogenesis.
Methods: By means of bioinformatic method through the GEO dataset GSE39838, we performed the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, as well as protein-protein interaction network (PPI) module calculation.
Results: As a consequence, differentially expressed genes (DEGs) involved in immune regulation were detected to be related with LGLL, including C1QA, C1QC and CD163 etc. Among all the DEGs, 147 genes were up-regulated, while the number of down-regulated genes was 1,296. In the KEGG pathway of LGLL, infection and immunity were the primary alteration, including tuberculosis and rheumatoid arthritis (RA). However, meticulous experiments are required to validate.
Conclusions: To sum up, dysimmunity might be another internal anomaly of LGLL, thus it is a reminder that immune regulation of LGLL should be paid more attention. Moreover, immune microenvironment studies in LGLL covering T, B, and NK cells probably contribute to the molecular pathology, aiming to contribute to the molecular pathology of the LGLL. Additionally, pharmaceutical development directed at immune molecules might be pre-dictive of targeted therapy era in LGLL.

DOI: 10.7754/Clin.Lab.2020.200819