Significant Tumor Regression Induced by Microencapsulation of Recombinant Tumor Cells Secreting Fusion Protein
Bibliographic record
Abstract
Implantation of microencapsulated engineered cells secreting molecules with antineoplastic properties into tumors is a novel approach to cancer gene therapy. In this study, we constructed an engineered tumor cell line, VkCk/RM4-TNF-alpha, which secreted RM4/TNF-alpha fusion protein containing the chimeric antitumor antibody, F(ab')2 (RM4), recognizing the tumor antigen TAG72, as well as the TNF-alpha moiety. The engineered cells were encapsulated into microencapsules. The RM4/TNF-alpha fusion protein secreted by encapsulated VkCk/RM4-TNF-alpha cells could be diffused through the microencapsule membrane into the supernatant and exert a cytotoxic effect on L929 cells in vitro. The antigen-specific binding-reactivity of RM4/TNF-alpha for the TAG72 antigen was confirmed by immunohistochemical staining of rat LMCR tumor cells which expressed TAG72 antigen. Implantation of microencapsules containing VkCk/RM4-TNF-alpha cells into LMCR tumors in rats induced tumor regression as a result of tumor necrosis formation. Taken together, these data suggest that microencapsulation of recombinant tumor cells secreting antibody/cytokine fusion protein might be an alternative approach in the treatment of cancers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".