A Human Model of Down Syndrome Associated Leukemia Reveals Different Cell of Origins for Initiation and Progression
Bibliographic record
Abstract
Introduction: Leukemia is the most common cancer in children and sequencing data suggest that the first genetic alterations often occur in utero. Children with Down syndrome (Trisomy 21, T21) have a 150-fold increased risk of childhood leukemia. In 30% of newborns with Down syndrome, a transient myeloproliferative disorder (pre-leukemia) occurs, which is characterized by a clonal proliferation of immature megakaryoblasts carrying somatic mutations in the GATA1 transcription factor (GATA1s) and resolves spontaneously in most cases. In 20% of the cases, acute megakaryoblastic leukemia (AMKL) evolves from the pre-leukemic clone by acquisition of additional mutations, such as in the cohesin subunit STAG2. It is hypothesized that this represents a multi-step process of leukemogenesis with three distinct genetic events: T21, GATA1s and STAG2. Yet, it remains unclear how an extra copy of chromosome 21 predisposes towards leukemia, the interplay between each genetic event and the cellular origin of transformation. Methods: Human long-term hematopoietic stem cells (LT-HSCs) were sorted from normal karyotype and T21 fetal livers (N-FL and T21-FL) and subsequently CRISPR/Cas9 edited to try to establish a humanized model of Down Syndrome associated pre-leukemia and AMKL. To model the initiation of the pre-leukemic state, GATA1s mutations were introduced, while additional STAG2- mutations were overlaid to model the progression to fully transformed AMKL. CRISPR/Cas9-edited control, GATA1s, STAG2- and GATA1s/STAG2- LT-HSCs were functionally interrogated in near-clonal xenograft assays, along with transcriptional and epigenetic profiling. Results: T21 status in combination with GATA1s had a profound synergistic effect on megakaryocytic lineage output in vivo compared to normal karyotype with GATA1s. Moreover, a high percentage of blasts were found in xenografts of GATA1s edited T21-FL LT-HSCs (>30%) but not in xenografts of GATA1s edited N-FL LT-HSCs. Conversely, GATA1s/STAG2- edited LT-HSCs generated grafts with >50% of blasts, regardless of T21 status. The immunophenotype of these blasts recapitulated those observed in patients diagnosed with Down Syndrome pre-leukemia and AMKL (CD117+CD34+CD41+CD71+CD33+CD4+CD7+). Thus, T21 is required for pre-leukemia development, but seems dispensable for AMKL as both N- and T21-FL LT-HSCs underwent leukemic transformation upon GATA1s/STAG2-. Serial xenotransplantation assays from primary engrafted mice were carried out to assess self-renewal properties of GATA1s-induced pre-leukemia and GATA1s/STAG2- induced AMKL. Only GATA1s/STAG2- edited N- and T21-FL grafts were able to propagate the leukemic phenotype with a high stem cell frequency, which was endowed by the additional STAG2- knock-out. ATACseq and RNAseq profiling of blast populations revealed an enrichment of GATA-binding sites with concomitant up-regulation of genes implicated in translation. To assess the role of progenitor cells in pre-leukemic initiation and leukemic progression, we CRISPR/Cas9 edited short-term HSCs, common myeloid progenitors and myelo-erythroid progenitors with GATA1s and/or STAG2- and subjected them to xenotransplantation. Strikingly, all progenitor subsets with combined GATA1s/STAG2- editing were able to drive leukemic transformation, while single GATA1s editing in the same subsets did not initiate pre-leukemia. This data strongly suggests that the initial GATA1s mutation must occur in T21 LT-HSCs, but subsequent STAG2 mutations can occur further downstream in progenitors. Lastly, to gain insight into how chromosome 21 predisposes towards pre-leukemia, three chromosome 21 miRNAs (miR-99a, -125b-2 and -155) were identified to be up-regulated in T21-FL LT-HSCs compared to N-FL LT-HSCs. Over-expression of these miRNAs in N-FL LT-HSCs induced a T21-like state with increased myeloid and megakaryocytic skewing. Dramatically, CRISPR/Cas9-edited knock-out of these miRNAs in GATA1s edited T21-FL LT-HSCs resulted in a block of pre-leukemia initiation. Conclusion: Our findings demonstrate that T21 is required for pre-leukemia initiation, which is mediated by over-expression of chromosome 21 miRNAs in LT-HSCs. Further, this data demonstrates different cell of origins between pre-leukemia initiation and AMKL progression. Ongoing studies focus on preventing the progression of pre-leukemia to AMKL by pharmacological targeting. Figure Disclosures Dick: Bristol-Myers Squibb/Celgene: Research Funding.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".