Abstract 1362: Developing genetically flexible mouse models of sarcoma - a novel functional genomics platform
Bibliographic record
Abstract
Abstract Introduction: Sarcomas are a heterogeneous group of malignant neoplasms that arise from connective tissues and have a disease-specific mortality of 30-50%. Existing mouse models of sarcomagenesis utilize knockout and transgenic mice but it is unclear if fixed germline mutations recapitulate sporadic human cancer. In addition, creating germline mutant mice requires substantial time and resources. We hypothesized that delivery of oncogenes into mouse skeletal muscle using a retroviral (RCAS) system would result in sarcomagenesis and could mitigate the limitations of conventional mouse models. Methods: p16/p19 null mice expressing the retroviral receptor, TVA, under nestin (N-tva) or β-actin (BKE) promoters were used. DF1 chicken fibroblasts, infected with avian-leukosis virus vectors (RCAS) carrying combinations of oncogenes (KrasG12D, c-Myc, IGF2) or GFP alone, were delivered by injection into the hindlegs of neonatal mice and tumor development was monitored. Results: GFP-positive cells were observed following in vitro infection of cultured mouse skeletal muscle with RCAS-GFP and GFP+ myoblasts were identified from mice injected with RCAS-GFP in vivo, suggesting successful cell infection and targeted gene delivery. Sarcomas formed in 30% of p16/p19−/−xN-tva mice at the injection site with a median latency of 23.5 weeks (8-42 weeks). Several subtypes of sarcoma developed in this strain based on morphologic assessment and immunohistochemistry (S100, desmin, and smooth muscle actin). Of these, malignant peripheral nerve sheath tumor (MPNST) that overexpressed EGFR consistent with human MPNST, was the predominant subtype (55%). Although a similar tumor incidence occurred in the p16/p19−/−xBKE strain (32%), the median latency was much shorter, 10.4 weeks (7-25 weeks) and the tumor spectrum shifted to predominantly fibrosarcoma (36%) or rhabdomyosarcoma (36%). No tumors were observed in mice injected with empty RCAS vector or without inactivation of the p16/p19 locus. Gene-anchored PCR revealed retroviral vector DNA integration in 89% of N-tva and 97% of BKE tumors. KrasG12D was the most frequent oncogene isolated. Conclusions: We have generated novel models of sarcomagenesis using the RCAS-TVA system to deliver known sarcoma oncogenes into mouse hind legs with a tumor incidence of ∼30%. With optimization, we will be able to use this genetically flexible system to functionally validate novel candidate sarcoma genes. 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 1362. doi:1538-7445.AM2012-1362
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".