Abstract B007: High-risk pediatric cancer models in zebrafish, mouse and short-term culture predict individual patient responses to therapy
Notice bibliographique
Résumé
Abstract Personalized medicine is revolutionizing cancer detection, characterization, and treatment, however, 30% of children with high-risk cancers lack an actionable molecular target and need alternate approaches to identify personalized treatment recommendations. While mouse patient-derived xenografts (PDXs) are widely regarded as the gold standard for preclinical drug response prediction, they remain highly resource-intensive, challenging to establish, and often have establishment times outside clinically relevant timeframes. The larval zebrafish model has gained prominence as a promising tool for personalized medicine, however, drug treatment responses in zebrafish and mouse PDX models, and in their cognate patients, have not previously been compared. Here, we present data from an international collaboration between two national child cancer precision medicine programs: Canada’s PRecision Oncology For Young peopLE (PROFYLE) and Australia’s Zero Childhood Cancer (ZERO), which, for the first time, directly compares single agent and combination treatment responses using individualized models in larval zebrafish, mouse, and short-term culture, with patient clinical responses. Samples were collected from ten high-risk childhood/adolescent cancer patients (aged 1.5-15 years) diagnosed with various tumor types and enrolled on ZERO for molecular profiling (whole genome and whole transcriptome sequencing analysis), and in vitro high throughput drug screening (HTS). Mouse PDX drug testing was guided by prior molecular sequencing findings, single agent HTS, and treatments received by each patient. Samples from these patients underwent retrospective zebrafish PDX testing. Labeled tumor cells were engrafted into the zebrafish larvae yolk sac at 48 hours, treated for 3 days from 72 hours by immersion, followed by ex vivo tumor cell quantification for drug response evaluation. Larval zebrafish models were successfully established for all ten patients, including three for whom a mouse PDX model was not able to be developed. Additionally, samples from three of the ten patients underwent a secondary in vitro screen of single drugs and drug combinations, for comparison with responses in larval zebrafish and mouse PDXs. Remarkably, a high degree of concordance was observed between evaluable patient responses and responses observed in preclinical models developed from the patient, with 10/11 zebrafish, 7/8 mouse and 3/3 short-term cultures recapitulating responses in patients. The larval zebrafish workflow was less than one week from engraftment to completion, comparable to direct HTS from patient samples, and far quicker than establishing mouse PDX models. These findings represent the first pediatric precision oncology study to demonstrate consistent and clinically informative drug responses across multiple modalities in successfully predicting drug responses in high-risk child cancer patients, and suggest the feasibility of the larval zebrafish PDX as an efficient preclinical tool for patient-specific therapeutic decision-making. Citation Format: Nadine Azzam, Jamie I. Fletcher, Nicole Melong, Loretta Lau, Emmy M. Dolman, Jie Mao, Gabor Tax, Roxanne Cadiz, Lissandra Tuzi, Alvin Kamili, Biljana Dumevska, Jinhan Xie, Jennifer A. Chan, Donna L. Senger, Stephanie A. Grover, David Malkin, Michelle Haber, Jason N. Berman. High-risk pediatric cancer models in zebrafish, mouse and short-term culture predict individual patient responses to therapy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 | 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 ».