Pediatric T-ALLs Developing into a Type 2 Relapse Originate from Cells That Carry the Potential of Variable Maturation into Subclones with Distinct Chromatin Landscapes

Abstract T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy that is classified according to surface marker expression. In order to reveal the cells of origin in pediatric T-ALL and to understand mechanisms of relapse we used ATAC-Seq (Assay for Transposase-Accessible Chromatin Sequencing) to compare chromatin accessibility landscapes of healthy T-cell precursors to those of T-ALL cells obtained at initial diagnosis (INI) and relapse (REL). We have FACS sorted 7 differentiation stages of normal T-cell precursors contained in the thymus of infants undergoing cardiac surgery (DN2, DN3, ISP, DPCD3-, DPCD3+, CD4+ and CD8+) and subjected these to ATAC-Seq. Unsupervised learning by principal component analysis (PCA) clustered sorted populations according to the maturation stage, demonstrating that regulatory chromatin signatures of thymocytes are highly stage-specific and re-shaped during T-cell differentiation. We next compared normal T-cell precursors at different stages of maturation to pediatric T-ALLs and found fundamental differences with 30% of open chromatin regions to be more and 28% being less accessible in T-ALL (DESeq2, padj We then subjected the ATAC-seq data of all matched leukemia samples obtained at initial disease and at relapse to PCA. INI and REL samples derived from the same patient always clustered in close proximity and were separated according to the T-ALL driving fusion genes. A global analysis of differential accessibility revealed only 0.26% of ATAC-regions to be less- or more-accessible at relapse when compared to the matched initial samples (DESeq2, padj Moreover, we trained the deconvolution algorithm CIBERSORT to recognize particular T-cell differentiation stages using ATAC-profiles of the 7 FACS-sorted healthy T-cell populations. We used regulatory chromatin landscape of non-sorted (total) thymus to assess the accuracy of deconvolution. Comparison of predicted fractions in total thymus to FACS measurements revealed highly accurate identification of the maturation stages (r2 = 0.95). CIBERSORT analysis confirmed that the profiles were largely preserved between INI and REL of each sample pair. Notably, however, while in T-ALLs that later developed into a type 1 relapse only one type of early T-cell progenitor dominated the deconvolution profile, T-ALLs that developed into a type 2 relapse showed heterogeneous profiles with contributions of progenitors at different maturation stages. In sum, these epigenomic analyses revealed that the chromatin landscape of normal T-cell precursors evolves in the course of thymic maturation and that the early maturation stages are the likely origin of T-ALL cells. Remarkably, pediatric T-ALLs that later develop a type 2 relapse consist of subclones with a variable profile of chromatin accessibility that define different stages of maturation. These data indicate that T-ALLs with the propensity to develop a type 2 relapse differ from type 1 in that they originate from early precursors that carry the potential of further development into different stages of maturation before the leukemia becomes apparent with a highly subclonal pattern. Disclosures Muckenthaler: Novartis: Research Funding. Bourquin: Amgen: Other: Travel Support. Kulozik: bluebird bio: Consultancy, Honoraria.