Mutations in Histone Lysine Methyltransferase Genes Are Associated with Autoimmune Cytopenias

• Published in: Blood 2023-11, Vol.142 (Supplement 1), p.2693-2693
• Main Authors: Cole, Daniel, Xiao, Zhengrui, Gupta, Varun, Anampa Mesias, Jesus D., Townsend, Noelle, Mackie, Gretchen, Sanghvi, Ami, Thakur, Rahul, Lachman, Herbert, Murakhovskaya, Irina
• Format: Article
• Language: English
• ISSN: 0006-4971; 1528-0020
• DOI: 10.1182/blood-2023-190448

Introduction Epigenetic mechanisms are important in regulation of gene expression by modifying chromatin structure to facilitate DNA accessibility (Lau et al Nat Immunol. 2018). DNA methylation and histone modifications are critical for the pathogenesis of hematologic malignancies and autoimmune diseases (Surace et al Front Immunol. 2019) Alterations in enzymes involved in histone modification are associated with immunodeficiencies, including Kabuki syndrome (KS), a rare genetic disorder associated with autoimmune cytopenias, such as immune thrombocytopenia (ITP) and autoimmune hemolytic anemia (AIHA) (Margot et al J Am Coll Med Genet 2020) caused by loss-of-function KMT2D and KDM6A mutations. Somatic mutations in the KMT2D gene have also been observed in patients with Cold Agglutinin Disease. (Małecka et al Br J Haematol. 2018). Aims: The aims of this study are: 1) to identify the frequency of mutations in histone methyltransferase genes (MT) KMT2D, KMT2A, KMT2C and KDM6A in patients with autoimmune cytopenias, and 2) to compare clinical, laboratory and immunological characteristics, and response to therapy in patients with or without mutation in MT and autoimmune cytopenias (AIC). Methods Data mining software from the electronic medical record was used to identify patients ≥ 18 years with a diagnosis of AIC, including ITP, warm and cold AIHA, autoimmune neutropenia, and Evans Syndrome (ES), who had Next Generation Sequencing (NGS) performed. Cytopenias due to malignancy, nutritional deficiency, medications, pregnancy, or infection were excluded. Patients were categorized into two groups based on the presence or absence of mutation in the MT genes (MT+, MT-) with variant allelic frequency (VAF) > 2%. Demographic, laboratory, and clinical characteristics, treatment outcomes, and NGS sequencing data were collected and compared between groups. Next, KMT2 mutations seen in patients with AIC were cross-referenced against the 1000 Genome Project (1000GP) population database to evaluate the frequency of polymorphisms in the general population (Auton et al Nature 2015). CADD in silico prediction algorithm was used to score the potential deleterious effect of MT mutations (Kirchner Nat Genet. 2014). Chi-Square test was used for categorical variables. Statistical analysis was completed in R software. Results Among 495 patients who underwent NGS, 79 (16%) had a mutation in MT genes. These mutations were present in 36% of patients with AIC as compared to 13% in those