A DNA Vaccine Targeting the Fetal Liver Kinase-1 (Flk-1) can Activate the Special CD8+ T Cell and Inhibit the Metastasis of Orthotopic Lewis Lung Cancer Model
Bibliographic record
Abstract
Lung cancer is the leading cause of cancer related deaths and need new more effective therapies. In this study, we investigated the anti-tumor effect of recombinant orally DNA vaccine delivered by attenuated S.typhimurium strain SL3261 (aroA mutant) targeting vascular endothelial growth factor receptor (VEGFR-2), also known as fetal liver kinase-1 (Flk-1) in mouse. The cDNA of extracellular domains (ECD) of VEGFR-2 (Flk-1ECD) was amplified by RT-PCR and cloned into the pcDNA3.1 (+) vector, then transformed to the attenuated S.typhimurium strain to construct the oral DNA vaccine. Then pcDNA3.1-Flk-1ECD was successfully transfected into COS-7 cells and the recombinant protein was detected by Western blot. The effect of the oral DNA vaccine was analyzed by flow cytometry (FCM) analysis and cytotoxicity assay. For mimic the local and regional growth pattern seen in lung cancer patients, the effect of the oral DNA vaccine on tumor growth and metastasis was analyzed by orthotopic cancer cells challenge in vivo. The results demonstrated that the oral DNA vaccine can overcome peripheral immune tolerance, and generated Flk-1- specific CD8+ cytotoxic T cell response. Moreover, this oral DNA vaccine could effectively reduce tumor growth, metastasis and increase the survival. It indicated that the oral VEGFR2 DNA vaccine encoding Flk-1ECD delivered by salmonella might act a potential strategy for immunotherapy of lung cancers.
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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".