Viral Vectors for Cancer Gene Therapy: Viral Dissemination and Tumor Targeting
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
Cancer gene therapy is the most promising and active field in gene therapy treatment. Although previous experimental and clinical trials have brought forward some exciting cases, in general, the clinical benefits have been limited. A major difference between virus-mediated gene therapy and other therapies is the poor physical diffusibility of viral vectors, which is also one of the major obstacles in cancer gene therapy. As safety is a prerequisite to enhanced viral dissemination, tumor-specific targeting becomes crucial. The present review focuses on questions related to efficient viral dissemination in tumor masses and how to sustain a high level of oncolytic virus targeting of tumor cells only. We will first consider two common reasons for limited virus spread in tumor masses and then discuss strategies for improving the tumor-specific oncolysis of currently used viral vectors and to comment on their advantages and potential problems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it