Abstract 4235: Functional assessment of mouse tumor microenvironment following sunitinib treatment using an integrated micro-ultrasound and photoacoustic system
Notice bibliographique
Résumé
Abstract The development of novel cancer therapies could benefit significantly from the introduction of new functional imaging methods that allow non-invasive longitudinal assessment of tumor response to therapy. We have developed and tested a new instrument in which photoacoustic (PA) imaging is combined with co-registered micro-ultrasound (µUS). The new system allows tumor oxygenation and hemoglobin data derived from PA imaging to be combined with blood volume and perfusion data derived from contrast µUS and be observed during the course of therapy. Using this system, we assessed changes in the tumor microenvironment following treatment with an anti-angiogenic drug, sunitinib (Pfizer, USA). Human metastatic breast cancer cells (231/LM2-4) were surgically implanted in the mammary fat pads of 4 control and 7 treated female nude SCID mice and were allowed to grow for 10 days prior to initiation of experimental treatment, which consisted of either 4 consecutive daily gavage doses of 120mg/kg sunitinib, or control vehicle. Imaging was performed, using the VevoLAZR (VisualSonics, Canada) integrated µUS/PA system, prior to and following treatment. Tumor volume was quantified with 3D ultrasound imaging using a 40MHz frequency probe. Indices of relative blood volume and perfusion were quantified with non-linear contrast imaging using a 21MHz probe during a 50uL (2x109/mL) intravenous bolus injection of microbubbles (MicroMarker, VisualSonics). Blood oxygen saturation, relative tissue oxygen saturation, and hemoglobin concentration were measured with photoacoustic imaging using an integrated photoacoustic probe with 21MHz ultrasound frequency and tuneable 680-970nm laser optics. Following treatment, we observed significant (p<.05) suppression in tumor growth (-35%) decrease in blood volume (-91%), perfusion (-86%), relative tissue oxygen saturation (-60%), and hemoglobin concentration (-40%) in the sunitinib- relative to control-treated mice. When comparing pre- and post-treatment within the control group, there were increases in tumor volume (+120%), however, interestingly, there were also decreases in perfusion (-52%), blood volume (-22%) and relative tissue oxygen saturation (-31%). When comparing contrast µUS and PA data, there was a strong, moderate, and weaker correlations between relative tissue oxygen saturation and perfusion (R2 = 0.722), relative tissue oxygenation and blood volume (R2 = 0.576), and blood volume and hemoglobin concentration (R2 = 0.294) respectively. This study demonstrates the ability of an integrated PA and µUS imaging system to provide quantitative functional assessment of a preclinical breast cancer model following treatment with sunitinib. The degree to which quantitative correlates such as these are indicative of useful therapeutic response and of prognostic value remain to be investigated. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4235. doi:1538-7445.AM2012-4235
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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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».