Anticancer Gene-engineered MSC-mediated Cancer Cell Death: An Imaging Demonstration
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study was performed to demonstrate the transportation of an engineered MSC-produced intracellular anticancer gene product between mesenchymal stem cell (MSC) and cancer cells. MSC-mediated anticancer strategy has held great promise owing to MSCs’ capacity of tumor-directed migration and the availability of specific anticancer genes. All anticancer genes that have been used in previous MSC-mediated anticancer studies were limited in functioning via extracellular mechanisms, mainly because of the restriction by cell membrane to macromolecules including proteins. In order to apply the majority of potent anticancer genes to the MSC-mediated anticancer system, a specifically designed expression vector which bears an intracellular anticancer gene, PTEN, is utilized to demonstrate the feasibility of the system in cancer therapies. A transacting activator of transcription (TAT) was introduced into an expression vector followed by a segment for PTEN-RFP fusion protein. A direct demonstration of PTEN-RFP transportation between MSC and cancer cells was obtained from direct co-cultures. A marked cancer cell death was observed in indirect co-cultures with conditioned media from PTEN-transfected MSCs. The demonstration of PTEN-engineered MSC-produced PTEN transportation indicates the feasibility of applying intracellular anticancer gene expression system in MSC-mediated strategies for cancer therapy.
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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 it