FOXM1 Inhibitors as Potential Diagnostic Agents: First Generation of a PET Probe Targeting FOXM1 To Detect Triple‐Negative Breast Cancer <i>in vitro</i> and <i>in vivo</i>
Bibliographic record
Abstract
Abstract The FOXM1 protein controls the expression of essential genes related to cancer cell cycle progression, metastasis, and chemoresistance. We hypothesize that FOXM1 inhibitors could represent a novel approach to develop 18 F‐based radiotracers for Positron Emission Tomography (PET). Therefore, in this report we describe the first attempt to use 18 F‐labeled FOXM1 inhibitors to detect triple‐negative breast cancer (TNBC). Briefly, we replaced the original amide group in the parent drug FDI‐6 for a ketone group in the novel AF‐FDI molecule, to carry out an aromatic nucleophilic ( 18 F)‐fluorination. AF‐FDI dissociated the FOXM1‐DNA complex, decreased FOXM1 levels, and inhibited cell proliferation in a TNBC cell line (MDA‐MB‐231). [ 18 F]AF‐FDI was internalized in MDA‐MB‐231 cells. Cell uptake inhibition experiments showed that AF‐FDI and FDI‐6 significantly decreased the maximum uptake of [ 18 F]AF‐FDI, suggesting specificity towards FOXM1. [ 18 F]AF‐FDI reached a tumor uptake of SUV=0.31 in MDA‐MB‐231 tumor‐bearing mice and was metabolically stable 60 min post‐injection. These results provide preliminary evidence supporting the potential role of FOXM1 to develop PET radiotracers.
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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 | 0.000 | 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) | 0.000 | 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".