Hemolytic anemia due to passenger lymphocyte syndrome in solid malignancy patients treated with allogeneic natural killer cell products
Bibliographic record
Abstract
BACKGROUND: Allogeneic natural killer (NK) cell products for treatment of solid organ malignancies were prepared by performing T (CD3+)-cell depletion on nonmobilized apheresis mononuclear cell collections. The products were not B-cell depleted. This report details two cases of passenger lymphocyte syndrome (PLS) after NK-cell infusion. CASE REPORTS: Patient 1 is a blood group A+ 56-year-old female with Stage IV ovarian carcinoma who received NK cells from an O+ donor. On day +7 she developed new hemolytic anemia. Direct antiglobulin test (DAT) was positive for immunoglobulin G and C3, and the eluate contained anti-A. Subsequently, anti-A was identified on reverse typing. She was transfused with group O red blood cells (RBCs). By day +12 she forward typed as O with anti-A and B on reverse typing. By day +42, DAT was negative with only weak anti-A on reverse typing. Patient 2 is a blood group B+ 51-year-old female with metastatic lobular breast carcinoma who received NK cells from an O+ donor. On day +7 she developed new hemolytic anemia. DAT was positive, and the eluate contained anti-A and -B. Anti-A reactivity was due to anti-A,B. The next day she developed new anti-B on reverse typing. She was transfused with O RBCs. Anti-B titer increased to a maximum of 512 on day +12. At discharge on Day +29 her anti-B titer was still 32. CONCLUSIONS: These patients developed PLS after infusion of NK cells. Because of these cases NK-cell products are now B (CD19+)-cell depleted at our institution, and this approach is recommended for other centers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".