HOXA/PBX3 knockdown impairs growth and sensitizes cytogenetically normal acute myeloid leukemia cells to chemotherapy
Bibliographic record
Abstract
The cytogenetically normal subtype of acute myeloid leukemia is associated with an intermediate risk which complicates therapeutic options. Lower overall HOX/TALE expression appears to correlate with more favorable prognosis/better response to treatment in some leukemias and solid cancer. The functional significance of the associated gene expression and response to chemotherapy is not known. Three independent microarray datasets obtained from large cohorts of patients along with quantitative polymerase chain reaction validation were used to identify a four-gene HOXA/TALE signature capable of prognostic stratification. Biochemical analysis was used to identify interactions between the four encoded proteins and targeted knockdown used to examine the functional importance of sustained expression of the signature in leukemia maintenance and response to chemotherapy. An 11 HOXA/TALE code identified in an intermediate-risk group of patients (n=315) compared to a group with a favorable risk (n=105) was reduced to a four-gene signature of HOXA6, HOXA9, PBX3 and MEIS1 by iterative analysis of independent platforms. This signature maintained the favorable/intermediate risk partition and where applicable, correlated with overall survival in cytogenetically normal acute myeloid leukemia. We further showed that cell growth and function are dependent on maintained levels of these core genes and that direct targeting of HOXA/PBX3 sensitizes cytogenetically normal acute myeloid leukemia cells to standard chemotherapy. Together the data support a key role for HOXA/TALE in cytogenetically normal acute myeloid leukemia and demonstrate that targeting of clinically significant HOXA/PBX3 elements may provide therapeutic benefit to patients with this subtype of leukemia.
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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 | 0.000 |
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".