Expression and recognition of HLA-DR/Her-2 complexes on carcinoma cells
Bibliographic record
Abstract
Cancer patients frequently generate cellular immune response to Her-2, a protein implicated in promoting tumor growth. While 40% of cancers express HLA class II, the ability of class II⁺ tumor cells to process endogenous Her-2 and present immunogenic peptides for CD4⁺ T cell recognition is unknown. We addressed this question using a CD4⁺ T cell clone (TCL-6Dn) restricted to Her-2 peptide 883-899 (p883) presented by HLA-DRβ*0401. We measured the proliferation and cytokine response of TCL-6Dn to p883-loaded and Her-2⁺ tumor cells. Our results showed that TCL-6Dn proliferated strongly to p883-loaded DCs, yet TCL-6Dn lysed tumor cells in a p883-specific manner. Cytokine production analysis showed that TCL-6Dn recognized p883 and produced IFN-γ, GM-CSF, TNF-α and IL-4. Tumor cell lysis was mediated by a soluble factor produced by TCL-6Dn, but cell contact increased lysis. Furthermore, we provide evidence that p883 is a naturally processed HLA class II epitope presented by cancer cells.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".