Inhibition of Carcinoma Cell Growth and Metastasis by a Vesicular Stomatitis Virus G-Pseudotyped Retrovector Expressing Type I Insulin-Like Growth Factor Receptor Antisense
Bibliographic record
Abstract
A replication-defective, vesicular stomatitis virus G-pseudotyped, Moloney murine leukemia virus retroviral vector (vLTR-IGF-IR(AS)) was generated in which a type I insulin-like growth factor receptor (IGF-IR) antisense fragment is expressed in a bicistronic mRNA with an enhanced green fluorescent protein (EGFP) reporter under the control of a potent long terminal repeat (LTR). The suitability of these retroparticles for gene therapy was tested with highly metastatic, carcinoma H-59 cells, which depend on IGF-IR expression for tumorigenicity and metastasis. Transduction with these, but not with control retroviral particles expressing EGFP only, resulted in a 70% reduction in IGF-IR levels and the loss of IGF-IR-regulated functions. Moreover, the ability of vLTR-IGF-IR(AS) retroparticle-transduced tumor cells to form experimental hepatic metastases was significantly reduced relative to controls. The results identify retrovector-mediated delivery of IGF-IR antisense as a potential strategy for cancer gene therapy.
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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 | 0.000 |
| 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".