A Novel AHI-1-BCR-ABL-JAK2 Interaction Complex Mediates Cellular Resistance to Tyrosine Kinase Inhibitors in CML .
Bibliographic record
Abstract
Abstract Abstract 38 The molecular signature of chronic myeloid leukemia (CML) is the BCR-ABL fusion gene originating in a multipotent hematopoietic stem cell. The BCR-ABL oncoprotein (p210BCR-ABL) has constitutively elevated tyrosine kinase activity that perturbs several signalling cascades, including the PI3K/AKT, JAK2/STAT5, NF-kB, and RAS/MAPK pathways. The current first line treatment for CML is the tyrosine kinase inhibitor imatinib mesylate (IM) that induces clinical remission in most chronic phase CML patients. However, early relapses and IM-resistant disease have emerged and are frequently associated with mutations in the BCR-ABL kinase domain. Our recent studies indicate that CML stem cells are less responsive to IM and other tyrosine kinase inhibitors and are critical target population for IM resistance. It is therefore critical to identify other therapies that target CML stem cells to prevent acquisition of resistance. One candidate target is AHI-1 (Abelson helper integration site 1), a recently discovered oncogene that is deregulated in primary leukemic stem cells from CML patients. AHI-1 contains several domains indicative of signalling functions, including an SH3 and a WD40-repeat domain. We have recently identified a novel AHI-1-BCR-ABL-JAK2 interaction complex that modulates BCR-ABL transforming activity both in vitro and in vivo and play a key role in the IM response/resistance of primary CML stem/progenitor cells. To investigate AHI-1's involvement in mediating this cellular resistance to IM and to test the comparative ability of new ABL and JAK2 inhibitors to inhibit this complex in CML cells, AHI-1 was either stably overexpressed in K562 cells by transduction of EF1a-AHI-1-IRES-YFP lentivirus or suppressed in K562 cells using RNA interference. Interestingly, an increase in cellular proliferation and colony formation and a decrease in apoptosis were observed in the presence of 1, 5 and 10 uM of IM when AHI-1 was overexpressed. Survival of these cells was similar to IM resistant K562 cells, which are highly resistant to IM in vitro and display higher AHI-1 protein expression than parental K562 cells. Suppression of AHI-1 had the opposite effect, with cells displaying heightened sensitivity to IM at concentrations as low as 1 uM. Phosphorylation and total protein expression levels of several proteins known to be involved in BCR-ABL signalling, including JAK2, STAT5, MAPK, SRC, AKT and NF-kB (P105, P50, and P65 subunits), were quantified by Western blot analysis. Elevated phosphorylation and total protein expression levels of several of these proteins were observed when AHI-1 was overexpresessed, in particular in the JAK2/STAT5 pathway and especially in the presence of Interleukin 3. Due to the strong effects AHI-1 had on this signalling cascade, we next inhibited JAK2 activity using a selective JAK2 inhibitor, TG101209, that is highly effective against the V617F mutation and inhibits JAK2 and STAT5 activities in polycythemia vera progenitor cells. AHI-1 overexpressing cells showed reduced proliferation and colony formation when treated with IM and TG101209 in combination compared to either IM or TG101209 alone. Interestingly, treatment with IM (5 uM) or dasatinib (150 nM, DA) in combination with TG101209 (100 nM) resulted in greater inhibition (81% and 85%) of CD34+ CML stem/progenitor cells from IM nonresponders (n=4), compared to the same cells treated with a combination of IM and DA (∼60%, p<0.05), as measured by colony-forming cell assays. CFSE tracking analysis of cell division in these cells further demonstrated additive antiproliferative activity as a result of combined ABL and JAK2 inhibitors. These results suggest that targeting both BCR-ABL and JAK2 activities may be a potential therapeutic option for IM resistant patients. Disclosures: No relevant conflicts of interest to declare.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".