Abstract A066 Acquired resistance to temozolomide in the Th-<i>MYCN</i> mouse as a clinically-relevant platform to evaluate novel therapeutic strategies against high-risk neuroblastoma
Bibliographic record
Abstract
Abstract Advances in preclinical models that recapitulate chemorefractory and relapsed disease are needed to better predict the efficacy of an expanding and promising armamentarium of drug candidates being tested in early-phase pediatric clinical trials. Here, we used longitudinal magnetic resonance imaging to design an individualized, dose-escalating treatment regimen that induces evolution of neuroblastoma in the Th-MYCN genetically-engineered mouse model, concomitant with the acquisition of resistance to temozolomide, a standard chemotherapy used in treatment of refractory, relapsed neuroblastoma patients within European early-phase clinical trials. MRI longitudinally identified the development of intra-tumoral heterogeneity. Molecular profiling of expanding, treatment-refractory regions identified prominent up-regulation of the nor-adrenergic core regulatory signature and deregulation of the CDK2 pathway. Treatment with a CDK2/9 inhibitor led to significant response and an overall survival benefit in temozolomide-resistant Th-MYCN tumors and allografts generated from these resistant tumours. These findings demonstrate the utility of genetically-engineered mouse models as platforms to dissect the evolution of chemoresistance in neuroblastoma and they provide a mechanistic rationale to support the evaluation of CDK2/9 in ongoing paediatric phase I studies of chemotherapy combined with temozolomide in relapsed, treatment refractory neuroblastoma patients. Citation Format: Evon Poon, Tong Liang, Giuseppe Barone, Barbara M. Costa, Sara Heuss, Simon P. Robinson, Charles Lin, Paul Workman, Yann Jamin, Louis Chesler. Acquired resistance to temozolomide in the Th-MYCN mouse as a clinically-relevant platform to evaluate novel therapeutic strategies against high-risk neuroblastoma [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 A066.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".