Immuno-gene therapy approaches for cancer: from in vitro studies to clinical trials
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
Immunotherapy against cancer basically aims at either broadly stimulating the immune system or at engineering an immune response against a targeted tumor associated antigen (TAA). In this review, we focus on the translation of immuno-gene therapy strategies into clinical trials for various cancers. Rather than being an exhaustive compendium of the literature, the focus of this article is to underline how anti-cancer immunotherapy strategies have evolved recently. Previously, studies have used different vectors to either express immuno-stimulatory molecules or a targeted TAA. Investigators are now directing efforts to both target a TAA and to stimulate the immune system by direct or viral administration of cytokines or co-stimulatory molecules. Some groups have also tried to combine genetic immunotherapy with chemotherapy, and results have been encouraging. This novel concept might open new perspectives for the treatment of patients with advanced-stage cancer.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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