Early Therapy Evaluation of Combined Anti–Death Receptor 5 Antibody and Gemcitabine in Orthotopic Pancreatic Tumor Xenografts by Diffusion-Weighted Magnetic Resonance Imaging
Bibliographic record
Abstract
Early therapeutic efficacy of anti-death receptor 5 antibody (TRA-8) combined with gemcitabine was measured using diffusion-weighted magnetic resonance imaging (DWI) in an orthotopic pancreatic tumor model. Groups 1 to 4 of severe combined immunodeficient mice (n = 5-7 per group) bearing orthotopically implanted, luciferase-positive human pancreatic tumors (MIA PaCa-2) were subsequently (4-5 weeks thereafter) injected with saline (control), gemcitabine (120 mg/kg), TRA-8 (200 mug), or TRA-8 combined with gemcitabine, respectively, on day 0. DWI, anatomic magnetic resonance imaging, and bioluminescence imaging were done on days 0, 1, 2, and 3 after treatment. Three tumors from each group were collected randomly on day 3 after imaging, and terminal deoxyribonucleotidyl transferase-mediated dUTP nick end labeling staining was done to quantify apoptotic cellularity. At just 1 day after starting therapy, the changes of apparent diffusion coefficient (ADC) in tumor regions for group 3 (TRA-8) and group 4 (TRA-8/Gem) were 21 +/- 9% (mean +/- SE) and 27 +/- 3%, respectively, significantly higher (P < 0.05) than those of group 1 (-1 +/- 5%) and group 2 (-2 +/- 4%). There was no statistical difference in tumor volumes for the groups at this time. The mean ADC values of groups 2 to 4 gradually increased over 3 days, which were concurrent with tumor volume regressions and bioluminescence signal decreases. Apoptotic cell densities of tumors in groups 1 to 4 were 0.7 +/- 0.4%, 0.6 +/- 0.2%, 3.1 +/- 0.9%, and 4.7 +/- 1.0%, respectively, linearly proportional to the ADC changes on day 1. Further, the ADC changes were highly correlated with the previously reported mean survival times of animals treated with the same agents and doses. This study supports the clinical use of DWI for pancreatic tumor patients for early assessment of drug efficacy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".