Dual Targeting of Smoothened, a Key Regulator in the Hedgehog Pathway, and BCR-ABL1 Effectively Eradicates Drug-Insensitive Stem/Progenitor Cells in Chronic Myeloid Leukemia
Bibliographic record
Abstract
Overcoming drug resistance and targeting cancer stem cells remain challenges for curative cancer treatment. In particular, patients with chronic myeloid leukemia (CML) often require lifelong therapy with ABL1 tyrosine kinase inhibitors (TKIs), partly due to a persistent population of TKI-resistant leukemic stem cells (LSCs). Therefore, identifying specific pathways crucial for LSC maintenance is necessary. The Hedgehog (HH) pathway, especially the protein Smoothened (SMO), has been found to be essential for CML LSCs, but its role in TKI resistance is still largely unknown. We have now demonstrated that the expression of HH pathway genes SMO and GLI2 is increased in CD34+ CML stem/progenitor cells compared to healthy counterparts, and is higher in TKI-nonresponders than in responders by transcriptome profiling and qRT-PCR analysis. Interestingly, they are most highly expressed in LSCs compared to progenitors and mature cells in TKI-nonresponders. Inhibition of SMO through genetic knockdown or with a potent, selective SMO inhibitor, Glasdegib, reduces the survival of cells from nonresponder patients. Notably, SMO inhibition also sensitizes TKI-nonresponder stem/progenitor cells to Bostutinib, a second-generation TKI, both in vitro and in a patient-derived xenotransplantation (PDX) model. These findings present a promising therapeutic target and a model for curative combination therapies in stem-cell-driven cancers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".