ET-07 * DOES OSMOTIC BLOOD-BRAIN BARRIER DISRUPTION ALLOWS EFFLUX PUMP SUBSTRATES DELIVERY TO THE TUMOR AND CNS?
Bibliographic record
Abstract
Despite decades of research, the median survival of glioblastoma (GBM) patients remains 14.6 months. The presence of the blood-brain barrier (BBB) limits CNS antineoplastic drugs delivery. Many BBB characteristics are involved in the drug delivery limitation, amongst them the efflux pumps. Different delivery strategies, such as the osmotic blood-brain barrier disruption (BBBD) have been developed and used with success in GBM patients. In order to enhance BBBD efficacy, more information is needed about its dynamic process. The aim of this study was to determine if the BBBD procedure can enable the delivery of efflux pump substrates to brain parenchyma and glioma cells. Thirty-two F98-Fischer rats were randomly assigned to 6 groups: 1: control; 2: tariquidar (P-glycoprotein (PGP) inhibitor); 3: BBBD in tumor ipsilateral hemisphere; 4: tariquidar vehicle (n = 3); 5: BBBD negative control (n = 3); and 6: BBBD + tariquidar. An MRI scan was performed to allow PET-MRI images coregistration. A 1-h dynamic PET acquisition was obtained and, with 11C-Carvedilol (a PGP substrate) administered iv during the first minute of the scan. Four volumes of interest (VOI) were studied: tumor volume, distal volume to the tumor in the ipsilateral parenchyma and equivalent control VOIs in the contralateral hemisphere. 11C-Carvedilol uptake ratios of corresponding ipsilateral and contralateral VOIs were computed for every animal. 11C-Carvedilol uptake in tumors was significantly higher on average in tariquidar and BBBD + tariquidar groups compared to the control groups. When comparing 11C-Carvedilol uptake in parenchyma, there was no significant difference between the groups at study. However, only two out of six animals in the BBBD + tariquidar group did show higher 11C-Carvedilol uptake, indicating that the BBBD must be excellent for effective substrate delivery to CNS. These results demonstrate that the BBBD procedure does not allow significant delivery of efflux pump substrates to the CNS, unless excellent BBBD procedure is achieved.
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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) | 0.000 | 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) | 0.004 | 0.001 |
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".