RIZ1 Tumor Suppressor Regulates IGF-1 Autocrine Loop To Control Cell Proliferation, Apoptosis, and Differentiation in Chronic Myeloid Leukemia Blast Crisis Cell Lines.
Bibliographic record
Abstract
Abstract RIZ1 (PRDM2) is a tumor suppressor gene whose expression and activity are reduced by genetic and epigenetic aberrations in many cancers. In chronic myeloid leukemia (CML), blastic transformation is associated with loss of heterozygosity at 1p36, the region where RIZ1 is located, suggesting that RIZ1 has an essential role in CML pathogenesis. In CML patients and in the CML blast crisis cell line K562, we observed aberrant RIZ1 promoter methylation. To further characterize RIZ1 tumor suppressor properties that are related to CML, we analyzed RIZ1-induced changes in proliferation, apoptosis, and differentiation in CML myeloid blast crisis (CML-BC) cell lines (K562, ERY-1, YN-1, and JURL-MK1) that express low levels of endogenous RIZ1. Forced RIZ1 expression in CML-BC cell lines substantially decreased proliferation, increased apoptosis, and increased the population of cells in G2/M phase of the cell cycle. RIZ1 expression also promoted differentiation as assessed by benzidine staining in CML-BC cell lines expressing immature erythroid cell features (K562, ERY-1, YN-1) and by CD117 and CD33 expression in JURL-MK1, a CML-BC cell line expressing megakaryoblastic features. To identify genes and pathways influenced by RIZ1 expression, we used 42k cDNA microarrays to globally monitor how RIZ1 expression changes the gene expression profile of K562 cells. We discovered 25 RIZ1-regulated genes that are involved in a variety of biological processes with a subgroup of genes involved in IGF-1 signaling. The most strongly RIZ1 down-regulated genes (IGF1) and up-regulated genes (SPARC, IGFBP2) are involved in IGF-1 signaling. Using chromatin immunoprecipitation (ChIP), we determined that RIZ1 associates with IGF-1 and SPARC promoters. RIZ1 contains a PR domain that has Histone H3 lysine 9 methylation activity, which is implicated in gene repression. Using ChIP assays, we found that RIZ1 expression in K562 cells increased Histone H3 lysine 9 methylation of the IGF-1 promoter. The increased Histone H3 lysine 9 methylation is associated with decreased IGF-1 expression as monitored by RT-PCR and Western analysis. We observed autocrine production of IGF-1 in K562 cells, by culturing cells in serum free media and monitoring IGF-1 production and signaling. We detected receptor bound IGF-1 by flow cytometry, and compared the growth properties of sorted IGF-1 positive and negative cells. IGF-1 positive cells have increased number of cells in G2/M and S phase, a reduced number of cells in G1 and higher numbers of mitoses and Ki-67 positive nuclei compared with IGF-1 negative cells. RIZ1 expression in K562 decreased the amount of receptor bound IGF-1, reduced IGF-1 receptor activation, and reduced the activity of downstream IGF-1 signaling pathways. RIZ1 expression in K562 substantially reduced AKT1 and ERK1/2 phosphorylation. Our study demonstrates that RIZ1 reduces cell proliferation, increases apoptosis, and enhances differentiation of CML blast crisis cell lines. RIZ1 also controls autocrine production of IGF-1 and blocks the activity of IGF-1 signaling pathways. These activities may in part be responsible for RIZ1 tumor suppressor activity and point to the therapeutic potential of IGF-1 pathway inhibition in the acute phase of CML.
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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 | 0.001 |
| 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".