Endogenous T cells prevent tumor immune escape following adoptive T cell therapy
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
While the outcome of adoptive T cell therapy (ACT) is typically correlated with the functionality of the inoculated T cells, the role of the endogenous T cells is unknown. The success of checkpoint blockade therapy has demonstrated the potentially curative value of preexisting tumor-primed T cells in cancer treatment. Given the results from checkpoint blockade therapy, we hypothesized that endogenous T cells contribute to long-term survival following ACT. Here, we describe a therapeutic approach combining ACT with an oncolytic vaccine that allows simultaneous analysis of antitumor immunity mediated by transferred and endogenous T cells. We found that, in addition to promoting the expansion and tumor infiltration of the transferred T cells, oncolytic vaccines boosted tumor-primed host T cells. We determined that transferred T cells contributed to rapid destruction of large tumor masses while endogenous T cells concurrently prevented the emergence of antigen-loss variants. Moreover, while transferred T cells disappeared shortly after tumor regression, endogenous T cells secured long-term memory with a broad repertoire of antigen specificity. Our findings suggest that this combination strategy may exploit the full potential of ACT and tumor-primed host T cells to eliminate the primary tumor, prevent immune escape, and provide long-term protective memory.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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