Characterizing the role of PLAGL2 in human leukemia initiation
Bibliographic record
Abstract
The identification and understanding of early drivers in malignancy is crucial to revert preleukemic events and prevent leukemic relapse. Del(20q) is one of the most common primary cytogenetic abnormalities found in preleukemic malignancies from myeloproliferative neoplasms to myelodysplastic syndrome (MDS). Previous studies have identified a “common retained region” within 20q11.21 that is often amplified in a subset of MDS patients. PLAGL2 is one of the 4 genes identified to be within the minimally conserved amplified region. Indeed, in previously published datasets of MDS hematopoietic stem and progenitor cells (HSPCs) transcriptome, PLAGL2 is significantly elevated in del(20q) patients compared to healthy controls. However, we have found that its level is also higher in HSPCs of cytogenetically normal MDS patients with low blasts. Given these findings, we sought to define the role of PLAGL2 as a potential early driver of myeloid malignancies. Results In healthy cord blood (CB) HSPCs, PLAGL2 overexpression enhanced proliferation ex vivo, better maintained stemness and decreased apoptosis. Colony formation assays also identified increased output of the erythroid lineage. Xenotransplanted CB CD34+ HSPCs overexpressing PLAGL2 exhibited increased engraftment competitiveness and led to splenomegaly with signs of hypercellularity after 20 weeks, features consistent with clinical observations of hematological malignancy. Grafts derived from PLAGL2 overexpressing cells reproducibly maintained a significantly larger CD34+ HSPC compartment. Intriguingly we also identified that ~50% of PLAGL2-overexpressing grafts exhibited a significant erythroid (CD71+/CD235a+) component where none was observed in the control group. This unique finding of aberrant erythropoiesis is reminiscent of clinical observations in patients with 20q11.21 amplification, where a high proportion of erythroblasts in the marrow and in some cases progression to erythroleukemia was noted. To evaluate the progression of PLAGL2-overexpressing grafts, further secondary transplantations were carried out and showed the persistence of only immature erythroid progenitors (CD71+/CD235a-) coupled with a near complete absence of lymphopoiesis in the same grafts. Together, our data strongly suggests ectopic levels of PLAGL2 can independently drive the expansion of human HSPCs and enforce features of myeloid malignancy. To uncover the molecular mechanism underlying PLAGL2 function, we performed RNA-seq and CUT&RUN in human CB CD34+ HSPCs overexpressing PLAGL2. Gene set enrichment analysis of the transcriptome and over-representation analysis of bound genes both identified signatures consistent with LSCs. We compared these findings with identically-derived omics profiles of HSPCs overexpressing PLAG1, a closely related family member that our lab has identified as a potent expander of HSCs ex vivo but not capable of promoting malignant features. We found a strong common feature in the downregulation of ribosomal components and translation machinery, then functionally validated reduced protein synthesis in PLAGL2 overexpressing HSPCs through OP-Puro assays. We have shown dampened mRNA translation to be one of the mechanisms by which PLAG1 enhances stemness and survival of HSCs, one that potentially extends to PLAGL2 as well. However, we also identified discordant signatures, notably PLAGL2's unique capacity to reduce mitochondrial translation, a pathway associated with ineffective erythropoiesis and MDS and one potential pathway by which PLAGL2 can enforce malignant phenotypes. Finally, to investigate the potential of PLAGL2 as a therapeutic target in MDS and AML, we performed shRNA knockdown in MDSL, a human MDS cell line, and primary human AML. In vitro competitive assays with MDSL showed steady dropout of PLAGL2 depleted cells. Similarly, depletion of PLAGL2 in primary AML was also able to attenuate colony formation and engraftment in vivo, highlighting the therapeutic potential of PLAGL2 inhibition throughout myeloid malignancies. Conclusion We have identified PLAGL2's potential as an early independent driver of myeloid malignancy and aberrant erythroid differentiation. An understanding of PLAGL2 and its downstream mechanisms will not only further our understanding on the development of early myeloid malignancies but also potentially provide another avenue to treat or prevent leukemia before it manifests.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".