CAR T Cell On-Target, Off-Tumor Toxicity in Solid Tumor Treatment: Generation and Management
Bibliographic record
Abstract
CAR-T cells involve incorporating T cells with a synthetic receptor to target tumor-specific molecules and this therapy enhances the patients’ own immune system to combat tumors. CAR-T cells are successful to elicit an enduring response to hematological malignancies but remains unsatisfactory during their application in solid tumors. Mostly, OTOT is a main safety concern during trials of CAR-T cells, which has led to destruction of healthy tissues and their normal functions, potentially threatening the patients’ life if damage were done on essential organs. OTOT arises from the CAR-T activation upon normal cells due to presence of tumor-like molecules on their surfaces, accompanied by potential cytokine release syndrome (CRS), which further lyses normal tissues. In this review, the structure and mechanisms of CAR-T cells will be described. More importantly, we will discuss the OTOT generation in CAR-T trials targeting solid tumors and available methods to mitigate this problem for advancing CAR-T application.
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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 | 0.002 | 0.002 |
| 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".