Abstract B007: Patterns and quantitation of migration and metastasis in a zebrafish xenograft model of ewing sarcoma
Notice bibliographique
Résumé
Abstract Ewing sarcoma (ES) is one of the most common and lethal pediatric cancers with a 5-year survival rate of less than 30% for those with metastatic disease. Approximately 25% of ES patients have metastatic disease at time of diagnosis. Current treatment for ES rests on an intensive regimen of five chemotherapeutic agents with a high level of toxicity. Recurrent ES is incurable. Hence, there is a desperate need for more effective and less toxic treatments. A major obstacle in developing new, more effective therapies against ES is the lack of animal models. Zebrafish offers a robust vertebrate model for investigating cancer and evaluating the efficacy of anti-cancer drugs. Many genes, signaling pathways, and mechanisms of carcinogenesis and metastasis are highly conserved between humans and zebrafish. As zebrafish do not develop an adaptive immune response until approximately four weeks of age, they present an ideal system for xenograft tolerance in an immunocompetent organism. In addition, the transparency of zebrafish embryos permits high-resolution optical imaging in vivo and allows for easy tracking of tumor cell migration and metastasis. Our lab has created a ES xenograft model in zebrafish by injecting mCherry-labeled ES cell lines into the transgenic strain Tg(fli:GFP). This strain marks the zebrafish vasculature green, allowing for effective tracking of the injected red cancer cells. Our lab transduced the human ES cell lines A673 and MHH-ES-1, both of which contain the EWSR1:FLI fusion and TP53 mutations, with the mCherry construct. The top 10% brightest cells were selected to allow for easy visualization within the zebrafish. Approximately 200 labeled cells were injected into the yolk at two days post fertilization (2 dpf). Cell growth and migration were tracked until 5 dpf. Using fluorescent microscopy, images of each injected fish were collected at one day post injection (1 dpi), corresponding to 3 dpf, and at 3dpi, corresponding to 5 dpf. Using ImageJ software, these images were carefully analyzed for tumor growth, cell migration, and metastasis. To quantify tumor invasion and metastatic dissemination, we used flow cytometry to compare total ES cell numbers between 1 dpi and 3 dpi within the zebrafish. Our results show that metastasis within the zebrafish, which is indicated by ES cell growth within the tail region, occurs in approximately 15% of injected fish. Data from fluorescent microscopy and flow cytometry demonstrate primary tumor growth, within the zebrafish yolk, occurs in nearly all injected fish. Flow cytometry work is ongoing to quantify the percent increase in tumor growth within injected fish at 5dpf. Large–scale drug screens can be easily performed in the zebrafish due to their small size and ease of drug delivery, which consists simply of immersing fish into drug solutions. Ongoing work includes testing our xenograft model using two known chemotherapeutic agents against ES, doxorubicin and ifosfamide, with the goal of providing a benchmark for novel drugs’ responses on cell migration and metastases. Citation Format: Rebecca A. Anderson, Usua Oyarbide Cuervas-Mon, Seth Corey. Patterns and quantitation of migration and metastasis in a zebrafish xenograft model of ewing sarcoma [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr B007.
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) | 0,001 | 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) | 0,003 | 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 ».