Producing proT cells to promote immunotherapies
Bibliographic record
Abstract
T lymphocytes are critical mediators of the adaptive immune system and they can be harnessed as therapeutic agents against pathogens and in cancer immunotherapy. T cells can be isolated and expanded from patients and potentially generated in vitro using clinically relevant systems. An ultimate goal for T-cell immunotherapy is to establish a safe, universal effector cell type capable of transcending allogeneic and histocompatibility barriers. To this end, human pluripotent stem cells offer an advantage in generating a boundless supply of T cells that can be readily genetically engineered. Here, we review emerging T-cell therapeutics, including tumor-infiltrating lymphocytes, chimeric antigen receptors and progenitor T cells (proT cells) as well as feeder cell-free in vitro systems for their generation. Furthermore, we explore their potential for adoption in the clinic and highlight the challenges that must be addressed to increase the therapeutic success of a universal immunotherapy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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; both teacher heads agree on what is shown here.
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".