Studies on GM-CSF Induced Signaling and Cell Growth in JMML: An Experimental Model To Identify Mechanism Directed Targeted Therapeutics.
Bibliographic record
Abstract
Abstract Juvenile myelomonocytic leukemia (JMML) is considered to be one of the most difficult to treat and deadliest diseases of early childhood. The pathogenesis of JMML involves deregulated cytokine signal transduction, especially a selective hypersensitivity to granulocyte-macrophage colony-stimulating factor (GM-CSF). Current treatment modalities do not provide significant long-term disease control. We describe an experimental model system in which the effect of targeted agents can be studied in the context of GM-CSF mediated growth and survival of JMML cells. Bone marrow and peripheral mononuclear cells from JMML patients were enriched by immunoaffinity chromatography and grown in the presence of GM-CSF. Purity of these cells was confirmed by FACS and their absolute dependence on GM-CSF for growth and survival was assessed. A direct role for GM-CSF was confirmed by the addition of neutralizing antibodies. Molecular techniques showed the lack of excess GM-CSF secretion by these cells that proved receptor hypersensitivity as the principal driving force behind the excessive proliferation. To understand the signaling pathways involved in this process, we constructed a capture antibody array with antibodies to critical signaling molecules. GM-CSF treated and control lysates were incubated with the arrays and the expression and phosphorylation of the signaling molecules were detected by anti p-tyr, p-Ser and p-Thr antibodies. Blots were then quantified by an automated image analysis program. Results showed consistent activation of a group of signaling molecules mediated by the addition of GM-CSF. These include IRS-1, FAK, IkappaB and LIFR. Using this assay system we then looked at the effects of a number of novel therapeutic agents to inhibit the growth and specifically interfere with the GM-CSF mediated signaling cascade. These novel therapeutic agents and targeted kinase inhibitors such as 17-AAG, DMAG, arsenic trioxide, rebeccamycin, AMN-107, and Prima-1. (IC50: 0.1, 0.01. 0.5, 0.1, 0 and 10, uM respectively). These agents were studied in combination to identify agents that exhibit synergistic and additive properties. Significant additive effects were seen with certain combinations, notably in combination with Hsp90 inhibitors. We describe an effective experimental model to identify the players and pathways involved in the abnormal growth properties of JMML. We discuss in detail the implications of these findings in the development of potential anti JMML therapies in the future.
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) | 0.001 | 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 | 0.000 |
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".