T Lymphocytes infiltrating various tumour types express the MHC class II ligand lymphocyte activation gene-3 (LAG-3): role of LAG-3/MHC class II interactions in cell–cell contacts
Bibliographic record
Abstract
The product of the Lymphocyte Activation Gene-3 (LAG-3, CD223) is a high affinity MHC class II ligand expressed by activated CD4(+) and CD8(+) T cells, which can associate with the T cell receptor (TCR) and downregulate TCR signalling in vitro. We have also reported that a soluble mLAG-3Ig fusion protein works as a vaccine adjuvant in vivo in mice, enhancing Th1 and CD8 T cell responses. Here, we report that LAG-3 expression was found, using fluorescent activated cell sorting (FACS) analysis, on 11-48% of human tumour-infiltrating lymphocytes (TILs) isolated from eight freshly dissociated renal cell carcinomas (RCCs), and was restricted mostly to CD8(+) cells. Immunohistochemical analysis confirmed LAG-3 expression by TILs in 9/11 RCCs, as well as in tumours of different origins, such as melanomas (3/5) and lymphomas (7/7). Since not only antigen presenting cells (APCs), but also TILs themselves strongly express major histocompatibility complex (MHC) class II, we firstly investigated whether LAG-3/MHC class II T-T cell contacts might influence tumour cell recognition. However, cytotoxicity inhibition was not observed in two RCC-specific CD8(+) T cell clones in the presence of the LAG-3-specific MAb, and there was also no observed difference in the recognition of LAG-3-transfected or wild-type RCC by these cytotoxic T lymphocytes (CTLs). In contrast, MHC class II engagement by LAG-3Ig was found to enhance the capacity of immature dendritic cells to stimulate naive T cell proliferation and IL-12-dependent IFN-gamma production by T cells in vitro. These results therefore provide support for a role for TIL-expressed LAG-3 in the engagement of class II molecules on APCs, thereby contributing to APC activation and Th1/Tc1 commitment, without downregulating cytotoxicity.
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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) | 0.000 | 0.000 |
| 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) | 0.000 | 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".