NR2F6 (EAR-2) Is a Novel Leukemia Oncogene Whose Cellular Function Is to Regulate Terminal Differentiation of Erythrocytes at the Proerythroblast Stage
Bibliographic record
Abstract
Abstract The leukemia stem cell model suggests that elucidation of the genes that regulate growth ability within the leukemia cell hierarchy will have important clinical relevance. We showed that the expression of NR2F6 (EAR-2), is greater in clonogenic leukemia single cells than in leukemia cells that do not divide, and that this gene is over-expressed in patients with acute myeloid leukemia and myelodysplastic syndrome. In vivo, overexpression of EAR-2 using a retroviral vector in a chimeric mouse model leads to a condition that resembles myelodysplastic syndrome with hypercellular bone marrow, increased blasts, abnormal localization of immature progenitors, morphological dysplasia of the erythroid lineage and a competitive advantage over wild-type cells, that eventually leads to AML in a subset of the mice, or after secondary-transplantation. Interestingly, animals transplanted with bone marrow that over-expresses EAR-2 develop leukemia that is preceded by expansion of the stem cell compartment in the transplanted mice—suggesting that EAR-2 is an important regulator of hematopoietic stem cell differentiation. Here we report that over-expression of EAR-2 also has a profound effect on the differentiation of erythroid progenitor cells both in vitro and in vivo. Studies of the roles of EAR-2 in normal primary bone marrow cells in vitro showed that overexpression of EAR-2 profoundly impaired differentiation along the erythroid lineage. EAR-2 over-expressing bone marrow cells formed 40% fewer BFU-E colonies, but had greatly extended replating capacity in colony assays. While knockdown of EAR-2 increased the number of cells produced per BFU-E colony 300%. Normal mice transplanted with grafts of purified bone marrow cells that over-expressed EAR-2 developed a rapidly fatal leukemia characterized by pancytopenia, enlargement of the spleen, and infiltration of blasts into the spleen, liver and peripheral blood. Sick animals had profound reduction of peripheral blood cell counts, particularly anemia with a 55% reduction in hemoglobin levels. Anemia was evident even on gross inspection of the blood and the liver in EAR-2 overexpressing animals. Analysis of the leukemic cells revealed an erythroblastic morphology, with the immunophenotype lineageneg, CD71high, TER119med. Hence, we wondered weather EAR-2 caused leukemia by arresting erythroid progenitor cell differentiation. Examination of the bone marrow of pre-leukemic animals showed a four-fold increase in cells with a pro-erythroblastic immunophenotype (CD71highTER119med , region I), and a four-fold decrease in orthochromatophilic erythroblasts (CD71lowTER119high , region IV). We observed no change in the numbers of basophilic erythroblasts (CD71highTER119high , region II) or late basophilic and polychromatophilic erythroblasts (CD71medTER119high, region III). These data suggests that over-expression of EAR-2 blocks erythroid cell differentiation at the pro-erythroblastic stage. Since EAR-2 over-expressing recipients died within 4 week, we wanted to definitively test whether animals had compromised radioprotection. We showed that decreasing the size of the bone marrow graft, reduced survival of the EAR-2 over-expressing cohort by a week, but had no effect on control animals proving that EAR-2 over-expression has a profound effect on erythropoietic reconstitution in vivo. Mechanistically, we show that DNA binding is necessary for EAR-2 function, and that EAR-2 functions in an HDAC-dependent manner, regulating expression of several genes. Pre-leukemic pro-erythroblastic cells (CD71highTER119med) that over-expressed EAR-2 had lower expression of genes involved in erythroid differentiation such as GATA1, EBF1, inhibitor of NFKB (NFKBia), ETV6, CEBP/a, LMO2, and Nfe2, and increased expression of GATA2, GLI1, ID1 and PU.1 than GFP control pro-erythroblasts. These data establish that EAR-2 is a novel oncogene whose cellular function is to regulate terminal differentiation of erythroid cells at the proerythroblastic (CD71highTER119med) stage by deregulating gene expression necessary for erythroid differentiation. Disclosures Ichim: Entest BioMedical: Employment, Equity Ownership, Patents & Royalties, Research Funding. Koos:Entest BioMedical: Employment, Equity Ownership, Patents & Royalties, 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".