592 ULTRASOUND-GUIDED INTRAMURAL INOCULATION OF ORTHOTOPIC BLADDER CANCER XENOGRAFTS
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Résumé
You have accessJournal of UrologyBladder Cancer: Basic Research (I)1 Apr 2013592 ULTRASOUND-GUIDED INTRAMURAL INOCULATION OF ORTHOTOPIC BLADDER CANCER XENOGRAFTS Wolfgang Jaeger, Igor Moskalev, Tetsutaro Hayashi, Shannon Awrey, Alan I. So, Kaixin Zhang, Ladan Fazli, Estelle Li, Dirk Lange, Joachim W. Thueroff, and Peter C. Black Wolfgang JaegerWolfgang Jaeger Vancouver, Canada More articles by this author , Igor MoskalevIgor Moskalev Vancouver, Canada More articles by this author , Tetsutaro HayashiTetsutaro Hayashi Vancouver, Canada More articles by this author , Shannon AwreyShannon Awrey Vancouver, Canada More articles by this author , Alan I. SoAlan I. So Vancouver, Canada More articles by this author , Kaixin ZhangKaixin Zhang Vancouver, Canada More articles by this author , Ladan FazliLadan Fazli Vancouver, Canada More articles by this author , Estelle LiEstelle Li Vancouver, Canada More articles by this author , Dirk LangeDirk Lange Vancouver, Canada More articles by this author , Joachim W. ThueroffJoachim W. Thueroff Mainz, Germany More articles by this author , and Peter C. BlackPeter C. Black Vancouver, Canada More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.1988AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Orthotopic bladder cancer xenografts are essential for testing the antineoplastic effect of novel therapies or molecular manipulations of cell lines in vivo. Current xenografts rely on tumor cell inoculation by either intravesical instillation or direct injection into the bladder wall. Intravesical instillation is limited by the lack of cell lines that are tumorigenic when delivered in this manner. The invasive model inflicts morbidity on the mice by the need for laparotomy and mobilization of the bladder. Furthermore this surgical approach is complex and time-consuming. We have therefore developed a novel and rapid technique for inoculating cancer cells into the bladder wall by ultrasound-guided percutaneous injection. METHODS Three bladder cancer cell lines (UM-UC1 luc, UM-UC3 luc and UM-UC13 luc) were inoculated into 50 athymic nude mice by high-precision percutaneous injection under ultrasound guidance (VisualSonics Vevo 770). PBS was first injected between the muscle wall and the mucosa to separate these layers, and the cells were then injected into this space. Bioluminescence and ultrasound were used to monitor tumor growth. Contrast-enhanced ultrasound (microbubbles) was used to study changes in UM-UC13 tumor perfusion with systemic gemcitabine/cisplatin treatment. To demonstrate proof of principle that therapeutic agents can be injected into established xenografts under ultrasound guidance, oncolytic virus (VSV) was injected into UM-UC3 tumors. Xenograft tissue was harvested for immunohistochemistry after 23-37 days. RESULTS Percutaneous injection of tumor cells into the bladder wall was performed efficiently (mean time: 5.7min) and without complications or mortality in all 50 animals. Ultrasound and bioluminescence imaging confirmed presence of tumor in the anterior bladder wall in all animals on day 3 after inoculation. The average tumor volumes increased steadily to an end volume of 288.7ml (+/− 60.1), 78.3ml (+/− 13.4) and 394.4ml (+/− 72.4) for UM-UC3 luc, UM-UC13 luc and UM-UC1 luc, respectively. Immunohistochemical staining for VSV-G demonstrated virus uptake in all UM-UC3 luc tumors after intratumoral injection. The UM-UC13 luc tumors showed a marked decrease in size (26.5ml vs. 153.9ml) and microbubble perfusion in response to chemotherapy. CONCLUSIONS We have developed a safe and rapid method for creating orthotopic bladder cancer xenograft in a novel, minimally invasive fashion. In our hands this has replaced the traditional model requiring laparotomy, which is less time efficient and is associated with greater morbidity for the mice. © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 189Issue 4SApril 2013Page: e242 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information Wolfgang Jaeger Vancouver, Canada More articles by this author Igor Moskalev Vancouver, Canada More articles by this author Tetsutaro Hayashi Vancouver, Canada More articles by this author Shannon Awrey Vancouver, Canada More articles by this author Alan I. So Vancouver, Canada More articles by this author Kaixin Zhang Vancouver, Canada More articles by this author Ladan Fazli Vancouver, Canada More articles by this author Estelle Li Vancouver, Canada More articles by this author Dirk Lange Vancouver, Canada More articles by this author Joachim W. Thueroff Mainz, Germany More articles by this author Peter C. Black Vancouver, Canada More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,037 | 0,015 |
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 ».