Antithyroid cancer effects of human neural stem cells expressing therapeutic genes on anaplastic thyroid cancer cells
Bibliographic record
Abstract
Stem cells that express therapeutic proteins have been identified to have an anticancer effects on various types of cancer. In the present study study, human neural stem cells (hNSCs) that were genetically engineered to express cytosine deaminase (CD) and human interferon-β (IFN-β) were used for anaplastic thyroid cancer (ATC) treatment owing to their tumor-tropic properties and therapeutic effects. CD is an enzyme that converts 5-fluorocytosine (5-FC), a prodrug, to 5-fluorouracil (5-FU) which is a medication to suppress tumor growth through DNA synthesis inhibition. Also, IFN-β suppresses tumor growth by the induction of apoptotic process. In water soluble tetrazolium salt (WST) assay, SNU-80 cells which are human female ATC cells were cocultured with three cell types including engineered hNSCs such as HB1.F3, HB1.F3.CD, and HB1.F3.CD.IFN-β cells on transwells and treated with 5-FC for 72 hours. Finally, the SNU-80 cell viability was reduced by the coculture with HB1.F3.CD and HB1.F3.CD.IFN-β cells. In dichlorofluorescein diacetate (DCF-DA) and TdT-mediated dUTP nick-end labeling (TUNEL) assays, the production of reactive oxygen species (ROS) and the number of apoptotic cells were increased by HB1.F3.CD and HB1.F3.CD.IFN-β cells in the presence of 5-FC. In Western blot assay, ROS, and apoptosis-related genes were increased in SNU-80 cells when they were cocultured with HB1.F3.CD and HB1.F3.CD.IFN-β cells. In transwell migration assay, hNSCs selectively migrated to SNU-80 cells because hNSCs interacted with chemoattractant factors like SDF-1α, uPAR, and CCR2 secreted by SNU-80 cells. Taken together, engineered hNSCs were revealed to selectively migrate to ATC cells and to inhibit growth as well as to induce apoptosis of ATC cells via ROS production through the actions of transgenes such as CD and IFN-β. Therefore, these engineered hNSCs can be promising candidates for the treatment of metastatic ATC.
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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) | 0.000 | 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".