Anti-BCMA-CAR-IL15 natural killer cells prevent multiple myeloma growth in the bone marrow but allow subsequent emergence of extramedullary disease
Bibliographic record
Abstract
Multiple myeloma (MM) is an aggressive blood cancer arising from plasma cells. B cell maturation antigen (BCMA)-directed chimeric antigen receptor T cell (α-BCMA-CAR-T) immunotherapies currently provide life-saving treatment for MM patients. Unfortunately, the high cost and manufacturing complexity of autologous CAR-T therapy remain important limitations. Novel research is underway to use CAR-expressing natural killer (NK) cells as an allogeneic CAR-T alternative, but studies have yet to evaluate long-term CAR-NK efficacy against MM. In this study, NK cells were isolated, expanded via feeder-cell stimulation, and engineered to express α-BCMA-CAR with or without human IL-15 co-expression using lentiviral vectors. In a xenograft model, both α-BCMA-CAR and IL-15 expression were required for persistent restriction of MM growth in the blood and bone marrow. Despite near complete and sustained elimination of MM in the bone marrow, long-term assessment of mice treated with α-BCMA-CAR-IL15 NK cells revealed the emergence of extramedullary disease (EMD) in the form of BCMA-positive MM plasmacytomas. This study showcases α-BCMA-CAR-IL15 NK cell therapy as a potent anti-MM therapeutic, achieving sustained MM elimination from the bone marrow and greatly extending survival. However, α-BCMA-CAR-IL15 NK cells appeared ineffective at eliminating extramedullary disease. By demonstrating the strengths and weaknesses of α-BCMA-CAR-IL15 cells, we hope this study could help direct the use of such therapies in clinical trials and provide a valuable pre-clinical MM model for studying and developing interventions for aggressive MM-EMD. • CAR and IL-15 co-expression enables effective NK cell anti-myeloma activity. • BCMA-CAR-IL15 NK cells significantly inhibited MM growth in the bone marrow. • CAR-NK cell therapy failed to prevent the late emergence of BCMA-positive MM-EMD. • We present an in vivo EMD model that can be used to test future clinical therapies.
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 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) | 0.001 | 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".