Pharmacodynamic monitoring of BAY 43‐9006 (Sorafenib) in phase I clinical trials involving solid tumor and AML/MDS patients, using flow cytometry to monitor activation of the ERK pathway in peripheral blood cells
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Bibliographic record
Abstract
BACKGROUND: We previously reported a flow cytometry technique to monitor pharmacodynamic effects of the raf kinase inhibitor BAY 43-9006 based on the ability of phorbol ester (PMA) to phosphorylate extracellular-regulated kinase (ERK) in peripheral blood (Chow et al., Cytometry 2001;46:72-78). In this article, we describe its application to phase I trials of BAY 43-9006 in solid tumor and AML/MDS patients. METHODS: The previously described whole blood lysis method was used to monitor BAY 43-9006 effects on peripheral T-cells of solid tumor patients. A modified whole blood fixation protocol was developed for the AML/MDS trial, using the c-kit ligand stem cell factor (SCF) to activate ERK as an alternative to PMA, and incorporating immunophenotypic markers to identify leukemic blasts. RESULTS: At all dose levels of BAY 43-9006 used to treat solid tumor patients, ERK could be activated by PMA in peripheral T-cells and we were not able to show inhibition of raf kinase. A similar effect was seen in the lymphocytes of AML/MDS patients during treatment with BAY 43-9006. However, we found strong inhibition when ERK was activated via c-kit using SCF. Furthermore, normal donor CD34+ve stem cells were much more sensitive to BAY 43-9006 when ERK was activated by SCF, compared to PMA. CONCLUSIONS: These findings support the further development of flow cytometry applications to monitor signal transduction inhibitors during early phase clinical trials.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 it