CD28-Mediated Regulation of Multiple Myeloma Cell Proliferation and Survival.
Bibliographic record
Abstract
Abstract Although interactions with bone marrow stromal cells are essential for multiple myeloma (MM) cell survival, the specific molecular and cellular elements involved are largely unknown due to the complexity of the bone marrow microenvironment. The CD28 receptor, which costimulates survival signals in T cells, is also expressed on normal plasma cells and myeloma cells. In MM, CD28 expression correlates significantly with disease progression, also suggesting a pro-survival function. In contrast to T cells however, activation and function of CD28 in myeloma and plasma cells is almost entirely undefined. We found that direct activation of myeloma cell CD28 by anti-CD28 mAb alone induced activation of NFkappaB, suppressed MM cell proliferation and protected against serum starvation and dexamethasone-induced cell death. We hypothesized that the specific CD80/CD86 expressing stromal cell partner of this interaction is a professional antigen presenting cells, in particular dendritic cells. Histological studies demonstrated DC were extensively interdigitated throughout the myeloma infiltrates in patient bone marrow biopsies. In vitro coculture with DC also elicited CD28-mediated effects on MM survival and proliferation, and could be blocked by CD28Ig. Our findings suggest a previously undescribed myeloma:DC cell-cell interaction involving CD28 that may play an important role in myeloma cell survival within the bone marrow stroma. These data also suggest that CD28 may represent a therapeutic target in the treatment of multiple myeloma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".