CpG stimulation of precursor B-lineage acute lymphoblastic leukemia induces a distinct change in costimulatory molecule expression and shifts allogeneic T cells toward a Th1 response
Bibliographic record
Abstract
Immunostimulatory DNA containing unmethylated cytosine-phosphate-guanosine (CpG) induces the development of T helper 1 (Th1) immune responses. The response of B cells to CpG stimulation involves increased proliferation, cytokine production, and costimulatory molecule expression. Similar effects have been observed following CpG stimulation of a variety of malignant B cells. Pediatric precursor B acute lymphoblastic leukemia (B-ALL) cells express low levels of costimulatory molecules and are generally poor stimulators of T-cell responses. In this study, we evaluated the impact of CpG stimulation on precursor B-ALL cell lines and pediatric patient-derived samples. The ability to respond to CpG oligodeoxynucleotides was determined by the level of Toll-like receptor 9 (TLR9) expression. In contrast to both nonleukemic B-cell precursors and mature B cells, the response of precursor B-ALL cells was characterized by increased CD40 expression but only small changes in CD86 levels and no induction of CD80 expression. CpG stimulation of ALL blasts produced increased levels of interleukin-6 (IL-6), IL-8, and IL-10 but no detectable IL-12p70 and led to a skewing of allogeneic T cells, with enhanced interferon gamma (IFN-gamma) production and reduced secretion of IL-5. These results demonstrate the functional relevance of CpG stimulation of precursor B-ALL cells and provide a rational basis for study of these agents for use in treatment of this disease.
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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) | 0.002 | 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".