Abstract 1087: CPX-351 works synergistically in combination with FLT3 inhibitors against AML with FLT3-ITD
Bibliographic record
Abstract
Abstract Introduction: CPX-351 (Vyxeos) is a liposomal combination of cytarabine and daunorubicin at a synergistic 5:1 molar ratio. Recently, CPX-351 has been shown to be significantly more effective than the 7+3 standard of care chemotherapy in treating high-risk AML patients, including patients with the FLT3-ITD mutation. We previously treated primary patient samples with CPX-351 ex vivo and found that FLT3-ITD+ samples were significantly more sensitive to CPX-351 and showed enhanced drug uptake. We hypothesized that dysregulated FLT3 signaling results in an activation of liposome uptake pathways, leading to increased sensitivity to CPX-351 and ultimately cell death. Furthermore, we examined the effect of combining CPX-351 with existing FLT3 inhibitors (e.g. quizartinib and midostaurin). Methods: To examine drug uptake dynamics, we exposed AML cell lines (including MOLM-13 and MOLM14 that contain FLT3-ITD, and ME1 that contains an activating FLT3 mutation) to varying concentrations of CPX-351, with or without pre-treatment of quizartinib and midostaurin. We evaluated cell viability using a colorimetric assay and measured intracellular daunorubicin fluorescence, an indicator of drug uptake, by flow cytometry. Additionally, we analyzed the synergy of exposing these cell lines to CPX-351 and FLT3 inhibitors in combination and at different dose schedules, followed by measuring cell viability and daunorubicin fluorescence. Results: We observed that cell lines containing FLT3-ITD or FLT3-activating mutation were more sensitive to CPX-351 and exhibited increased drug uptake compared to cell lines with other genetic abnormalities. Interestingly, we observed that pre-treatment with quizartinib for 16 hrs produced a population of cells (approximately 50% of the total population) that exhibited decreased daunorubicin fluorescence, suggesting that prolonged FLT3 inhibition may decrease CPX-351 uptake. Consistent with this, we observed robust synergy when combining CPX-351 with FLT3 inhibitors simultaneously or with CPX-351 exposure scheduled 24 hours prior to FLT3 inhibitor exposure. However, exposure to FLT3 inhibitors 24 hours prior to CPX-351 administration was less synergistic and even antagonistic at certain doses. Conclusions: These data provide additional supportive evidence that FLT3 activation results in increased uptake of CPX-351. This is consistent with results from the CPX-351 Phase III trial in which FLT3-ITD+ patients survived significantly longer when treated with CPX-351 compared to 7+3 chemotherapy. We also show that combining CPX-351 with existing FLT3 inhibitors can elicit a synergistic response when administered in dosing regimens where FLT3 inhibition does not precede CPX-351 treatment. Cumulatively, our data support further testing of CPX-351 in combination with FLT3 inhibitors for treating AML patients with genetic dysregulation of FLT3 signaling. Citation Format: David K. Edwards, Nathalie Javidi-Sharifi, Angela Rofelty, Max Gordon, Riley Roth-Carter, Paul Tardi, Lawrence Mayer, Jeffrey W. Tyner. CPX-351 works synergistically in combination with FLT3 inhibitors against AML with FLT3-ITD [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1087. doi:10.1158/1538-7445.AM2017-1087
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) | 0.001 | 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) | 0.003 | 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".