Activation of a Subset of Evolutionarily Young Transposable Elements and Innate Immunity Are Linked to Clinical Responses to 5-Azacytidine.
Hitoshi OhtaniAndreas Due ØrskovAlexandra S HelboLinn GillbergMinmin LiuWanding ZhouJohanna UngerstedtEva Hellström-LindbergWeili SunGangning LiangPeter A JonesKirsten GrønbaekPublished in: Cancer research (2020)
The DNA methyltransferase inhibitors (DNMTi) 5-azacytidine and 5-aza-2-deoxycytidine have been approved for the treatment of different types of hematologic malignancies. However, only about 50% of patients respond to treatment. Therefore, a more comprehensive understanding of the molecular changes in patients treated with DNMTi is needed. Here, we examined gene expression profiles in a total of 150 RNA samples from two adult cohorts and one pediatric cohort with hematologic cancers taken before, during, and after treatment with 5-azacytidine (40 patients; 15 nonresponders, 25 responders). Using each patient as their own control, malignant cells showed preferential activation of a subset of evolutionarily young transposable elements (TE), including endogenous retroviral long terminal repeats (LTR), short and long interspersed nuclear elements (SINE and LINE), and the type I IFN pathway in responders, all independent of disease classification. Transfection of eight upregulated LTRs into recipient human cells in culture showed robust and heterogenous activation of six genes in the type I IFN pathway. These results, obtained in diverse hematologic disease entities, show that common targets (TE) activated by the same drug (5-azacytidine) elicit an immune response, which may be important for patient's responses to DNMTi. SIGNIFICANCE: Activation of specific classes of evolutionarily young transposable elements can lead to activation of the innate immune system.
Keyphrases
- immune response
- end stage renal disease
- ejection fraction
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- dendritic cells
- machine learning
- induced apoptosis
- dna methylation
- patient reported outcomes
- single molecule
- deep learning
- oxidative stress
- cell death
- signaling pathway
- combination therapy
- nucleic acid
- copy number
- toll like receptor
- smoking cessation
- cell free
- patient reported