Tumor‐secreted products repress B‐cell lymphopoiesis in a murine model of breast cancer
Bibliographic record
Abstract
Growing cancers are known to modify immune responses through suppressive mechanisms manifested within the local tumor microenvironment. Accumulating evidence indicates that secreted tumor products can also influence on distant immunological compartments, including myelopoiesis in the bone marrow. However, it is unknown if a similar effect can occur to regulate B-cell lymphopoiesis in breast cancer. Examining the MMTV-PyMT murine model of breast cancer, we show a complete block in bone marrow B-cell lymphopoiesis, which is dependent on tumor burden. We also observed an increase in the total number of splenic B cells and an elevated frequency of marginal zone B cells. By using in vitro assays of B-cell lymphopoiesis, we show that tumor-secreted molecules directly inhibit B-cell progenitor proliferation and favor maturation. These data demonstrate a profound sensitivity of B-cell lymphopoiesis to the accumulation of ectopically produced molecules during tumor growth in PyMT.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".