Tissue-resident macrophages promote early dissemination of multiple myeloma via IL-6 and TNFα
Bibliographic record
Abstract
Multiple myeloma (MM) is a plasma cell malignancy characterized by the presence of multiple foci in the skeleton. These distinct tumor foci represent cycles of tumor growth and dissemination that seed new clusters and drive disease progression. By using an intratibial Vk*MYC murine myeloma model, we found that CD169+ radiation-resistant tissue-resident macrophages (MPs) were critical for early dissemination of myeloma and disease progression. Depletion of these MPs had no effect on tumor proliferation, but it did reduce egress of myeloma from bone marrow (BM) and its spread to other bones. Depletion of MPs as a single therapy and in combination with BM transplantation improved overall survival. Dissemination of myeloma was correlated with an increased inflammatory signature in BM MPs. It was also correlated with the production of interleukin-6 (IL-6) and tumor necrosis factor α (TNFα) by tumor-associated MPs. Exogenous intravenous IL-6 and TNFα can trigger myeloma intravasation in the BM by increasing vascular permeability in the BM and by enhancing the motility of myeloma cells by reducing the adhesion of CD138. Moreover, mice that lacked IL-6 had defects in disseminating myeloma similar to those in MP-depleted recipients. Mice that were deficient in TNFα or TNFα receptor (TNFR) had defects in disseminating MM, and engraftment was also impaired. These effects on dissemination of myeloma required production of cytokines in the radiation-resistant compartment that contained these radiation-resistant BM MPs. Taken together, we propose that egress of myeloma cells from BM is regulated by localized inflammation in foci, driven in part by CD169+ MPs.
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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 | 0.000 | 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) | 0.000 | 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".