A Novel TWIST2-ID2 Axis That Modulates The Growth and Imatinib Sensitivity Of CML CD34+ Cells
Bibliographic record
Abstract
Abstract TWIST is a basic helix-loop-helix transcription factor that specifies Drosophila mesoderm development. In mammals there are 2 members, TWIST1 and TWIST2. TWIST2 is a regulator of osteoblasts and muscle development and plays a critical role in the epithelial-mesenchymal transition process, as well as in cancer initiation and metastasis. Twist2-deficient mice develop a myeloproliferative disease. These findings led us to query a potential role of TWIST2 in normal and leukemic (CML) human hematopoietic cells. RT-PCR and immuno-fluorescence analysis of CD34+ bone marrow (BM) cells obtained from healthy donors demonstrated their expression of TWIST2 transcripts and protein. Lentiviral vector-mediated knockdown of TWIST2 with 2 independent shRNA sequences enhanced the erythroid and granulopoietic colony-forming activity of transduced normal BM cells ∼2-fold compared with control transduced cells (n=3, p<0.05). Interestingly, ChIP studies showed that TWIST2 can bind directly to the DNA promoter for ID2 in CD34-enriched BM cells and knockdown of TWIST2 reduced ID2 expression by 50%. In lin-CD34+ cells from 14 chronic myeloid leukemia (CML) patients, we found both TWIST2 and ID2 transcripts to be 5 and 6 fold lower than those from 6 healthy BM donors (p<0.05), with similar findings for TWIST2 and ID2 protein in the same cells. BCR-ABL1-transduced Baf/3 cells also showed a reduction in Twist2 expression. Conversely, TWIST2 expression became elevated when K562 cells were treated with Imatinib mesylate (IM). We then generated a lentiviral vector encoding TWIST2 which proved capable of inhibiting the growth of K562 and MEG-01 cells as well as CFC production from CML CD34+ cells (n=11, p<0.05). Overexpression of TWIST2 in MEG-01 cells also reduced their tumorigenic ability in subcutaneously injected nude mice (0/8 for TWIST2 group, 7/8 for control group). In addition, increased TWIST2 sensitized the IM response of K562 cells and IM-resistant CD34+ cells from CML patients (2 in chronic phase and 2 in blast crisis). Correspondingly, knockdown of TWIST2 in K562 cells enhanced their cloning efficiency by 15% and made them IM-resistant. To obtain further insight into these biological effects of TWIST2, we generated several TWIST2 mutant cDNAs, including ones with a N-terminal truncation (ΔN), a C-terminal truncation (ΔC), a F86P dimerization mutant and a b- DNA binding mutant. Analysis of the effects of these mutants when overexpressed in CML cells and cell lines showed TWIST2 dimer formation was critical for the effects obtained with wild-type TWIST2, whereas the DNA binding domain could modulate these effects but was not essential, and the N-terminal and C-terminal domains were dispensable. We also found that overexpression of TWIST2 enhanced ID2 expression in CML CD34+ cells (n=3), as well as K562 and MEG-01 cells, and ChIP analyses confirmed the binding of TWIST2 to ID2 promoter DNA from K562 and MEG-01 cells. Using ID2 promoter-driven luciferase reporter and a mutant derivative (with only the E-box sequence altered), we found that TWIST2 could activate the wild-type promoter but not the mutated one in both K562 and MEG-01 cells. Finally, we co-transduced CML cells from 3 patients with TWIST2 and shRNA against ID2 and found that this reversed the suppressed production of CFC obtained with TWIST2 alone. Similarly in K562 cells this treatment partially restored their growth rate and IM resistance. Taken together, we report a novel TWIST2-ID2 regulatory axis in normal hematopoietic progenitor cells, which can also modulate the growth and IM response of CML progenitor cells. These findings provide a baseline for the future development of more effective therapy of CML. Disclosures: No relevant conflicts of interest to declare.
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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 | 0.000 |
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".