Abstract LB-140: Targeting brain tumour initiating cells using a dual-pronged approach of oncolytic virotherapy and chemotherapeutics
Bibliographic record
Abstract
Abstract BACKGROUND: Brain tumour initiating cells (BTICs) are stem-like cells hypothesized to mediate tumorigenesis and recurrence in glioblastoma multiforme (GBM). Patient-derived BTICs represent highly relevant preclinical GBM models, forming aggressive, infiltrative tumours in nude mice that closely recapitulate the phenotypic heterogeneity of patient GBMs. BTICs have also been shown to possess mechanisms mediating both chemo- and radio-resistance. Recently, success has been demonstrated in treating BTICs with oncolytic virotherapy (OV), which uses replication-competent viruses to specifically target and kill malignant cells. Myxoma virus (MyxV) is a promising oncolytic candidate, which our lab has shown to be highly efficacious in preclinical GBM models, effectively curing GBM xenografts with a single intra-cranial injection. By contrast, long-term survival is not obtained in MyxV-treated, BTIC-tumour-bearing mice, though survival is prolonged. HYPOTHESIS: We hypothesize that MyxV treatment of BTICs can be improved by utilizing clinically relevant chemotherapeutics identified via high-throughput pharmacoviral screens. RESULTS: We utilized a diverse, comprehensive panel of 80 small molecule inhibitors with preclinical and clinical anti-cancer efficacy to screen for synergy with MyxV treatment in vitro. Multiple candidates have been identified and are currently being validated for synergy (Chou-Talalay method) using a panel of genetically distinct, patient-derived BTICs. Our results implicate multiple potential targets for OV combination therapy, including topoisomerase I and the PI-3K/Akt/mTOR pathway. Target validation is currently underway using shRNA knockdowns and additional targeted inhibitors of these pathways. Further, the mechanism of synergistic cell death during these combination treatments is being explored. In vivo experiments utilizing the dual-pronged pharmacoviral approach are also underway. SIGNIFICANCE: We describe the nature and identity of compounds that carry the potential to sensitize BTICs to MyxV infection. Our findings offer an effective avenue to elucidate resistance mechanisms and develop efficacious combination therapies for targeting disease reservoirs within highly refractory GBMs. 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 LB-140. doi:1538-7445.AM2012-LB-140
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 0.000 |
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".