A novel HER-2-specific exosome-targeted T cell-based vaccine: immunotherapy of established lung metastasis in transgenic HLA-A2/HER-2 mice (155.37)
Bibliographic record
Abstract
Abstract CD4+ T cell vaccine has less been studied. In this study, we demonstrated that active CD4+ T (aT) cells with uptake of ovalbumin (OVA)-pulsed dendritic cell (DCova)-derived exosome (EXOova) express exosomal peptide/major histocompetibility complex (pMHC) I and costimulatory molecules. EXOova-uptaken (targeted) CD4+ aT (aTexo) cells can stimulate central memory CD8+ cytotoxic T lymphocyte (CTL) responses, more efficient in vivo antitumor immunity and long-term CD8+ T cell memory responses than DCova, and break the self immune tolerance in two transgenic mouse models leading to OVA- and neu-specific CTL-mediated diabetes and antitumor, respectively. We further elucidated that aTEXO’s stimulatory effect is mediated via its IL-2 secretion and acquired CD80 costimulation, and specifically targeted to CD8+ T cells in vivo via acquired pMHC I complexes. Therefore, EXO-targeted CD4+ T cell vaccine may represent a novel and highly effective vaccine strategy for inducing immune responses against not only tumors, but also other infectious diseases. Therefore, EXO-targeted CD4+ T cell vaccine may represent a novel effective vaccine strategy for therapeutic treatment of patients with early stage of HER-2-positive or trastuzumab-resistant HER-2-positive breast cancers, and for adjuvant treatment of patients with potential risk of metastasis after surgical treatment.
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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 | 0.001 |
| 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 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".