Abstract 2060: Quantifying vascular biomarkers with contrast-enhanced molecular ultrasound imaging
Notice bibliographique
Résumé
Abstract Introduction: Molecular imaging has the potential to dramatically impact all facets of patient care, from early disease detection to treatment monitoring and follow-up, as a tool for the characterization and measurement of key biomolecules in vivo. In ultrasound, functional and molecular imaging is possible through the use of microbubbles (MB), a contrast agent that can be transformed into targeting agents that bind to vascular biomarkers of interest. In this study, we evaluate whether targeted ultrasound contrast enhanced imaging can provide a quantitative measure of surface receptor expression in endothelial cell populations. Methods: The biomarker endoglin (Eng) was selected for targeting due to its involvement in the processes of development, vascular regulation and disease, including tumor angiogenesis. Endoglin wildtype (Eng+/+), heterozygous null (Eng+/-) and null (Eng-/-) mouse embryonic endothelial cells were cultured on glass slides and mounted in parallel plate flow chambers. MicroMarker microbubbles (endoglin targeted: MBE, isotype control: MBC or untargeted: MBU at 1x107 MB/mL in PBS) were perfused across the cells at 4 mL/min, corresponding to a shear stress of 2 dynes/cm2. Cell and bubble numbers were determined from bright field and phase images (Nikon, 40x), with adhesion quantified as the number of MB/cell. Binding of microbubbles was also assessed in late-gestational stage, isolated, living embryos (Eng+/+, Eng+/-). The highly regulated and controlled activities of normal angiogenesis and vasculogenesis in the mouse embryo make it an excellent surrogate for complex and heterogeneous tumor microenvironments, while genetic manipulation enables the generation of a variety of useful transgenic models. Nonlinear contrast-specific ultrasound imaging, performed at 21MHz with a Vevo-2100 scanner (VisualSonics Inc.), was used to collect contrast mean power ratios (CMPR, representative measure of MB binding) within the brains of each embryo 4 minutes after a bolus injection of MBE, MBC or MBU. Results: Expression levels in cells and embryos were significantly different across genotypes, with endoglin reduced by half in Eng+/- and totally absent in Eng-/- samples. In vitro, microbubble adhesion was found to vary significantly (p<0.05) across genotype populations, with minimal attachment of MBC and MBU compared to MBE. Endoglin-targeted binding was approximately two-fold higher (median = 0.96 MBE/cell) in Eng+/+ compared to Eng+/- (median = 0.42 MBE/cell) cells. In embryo studies, we observed minimal signal from MBC and MBU, while MBE binding was found to be significantly higher in Eng+/+ embryos (CMPR+/+ = 9.71 + 0.66, 95% CI) compared to Eng+/- embryos (CMPR+/- = 5.51 + 0.64, 95% CI). In conclusion, these results suggest that molecular ultrasound is capable of reliably differentiating between molecular genotypes and relating receptor densities to quantifiable molecular ultrasound levels. Citation Format: Janet M. Denbeigh, Brian A. Nixon, John J.Y. Lee, Mirjana Jerkic, Philip A. Marsden, Michelle Letarte, Mira C. Puri, F. Stuart Foster. Quantifying vascular biomarkers with contrast-enhanced molecular ultrasound imaging. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2060. doi:10.1158/1538-7445.AM2014-2060
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».