B Effector Cells Activated by a Chimeric Protein Consisting of IL-2 and the Ectodomain of TGF-β Receptor II Induce Potent Antitumor Immunity
Bibliographic record
Abstract
We have previously shown that interleukin (IL)-2 receptor-expressing lymphoid cells stimulated with a chimeric protein linking IL-2 to the ectodomain of TGF-β receptor II (also known as FIST) become resistant to TGF-β-mediated suppression and produce significant amounts of proinflammatory cytokines. In this study, we have characterized the antigen presentation properties of FIST-stimulated B cells (hereafter inducible B effector cells, iBEC). FIST converts naïve splenic B cells to B effector cells characterized by potent antigen presentation properties and production of TNFα and IFNγ. iBECs display hyperphosphorylation of STAT3 and STAT5 downstream of the IL-2 receptor and upregulation of T-bet expression. iBECs maintain B-cell identity based on the expression of PAX5 and CD19 and overexpress Smad7, which confers resistance to TGF-β-mediated suppression of B-cell activation. iBEC antitumor immunity was determined by a mouse model of lymphoma-expressing ovalbumin (E.G7-OVA) as a specific tumor antigen. OVA-pulsed iBECs function as antigen-presenting cells (APC) in vitro by inducing the activation of OVA-specific CD4(+) and CD8(+) T cells, respectively, and in vivo by conferring complete protective immunity against E.G7-OVA tumor challenge. In addition, OVA-pulsed iBECs promote tumor regression in immunocompetent C57Bl/6 mice bearing E.G7-OVA tumors. In conclusion, iBECs represent an entirely novel B cell-derived APC for immune therapy of cancer.
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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) | 0.001 | 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 | 0.001 |
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".