Transmission of a Follicular Lymphoma by Allogeneic Bone Marrow Tranplantation — Evidence to Support the Existence of a Lymphoma Progenitor Cell.
Bibliographic record
Abstract
Abstract Background: Lymphomagenesis is believed to depend on clonal proliferation of neoplastic progenitor cells. For follicular lymphoma, the neoplastic progenitors are likely derived from the early B-cells, but their exact nature remains elusive. We report a case of transmission of a follicular lymphoma by allogeneic bone marrow transplantation. Follicular lymphoma developed in the donor, and subsequently in the recipient, years after the BMT. Testing supports a common progenitor cell for both the malignancies. Methods: Sequencing of the amplifiable translocation (14;18) BCL2/IgH fusion gene product and microsatellite analysis using a commercially available human identity testing kit were used to establish the biological relatedness of the donor and recipient lymphomas. The monoclonal IgH gene rearrangements from these two lymphomas were further examined for their somatic hypermutational status. Results: Microsatellite analysis confirmed the recipient’s lymphoma was donor cell-derived. Analysis of the monoclonal IgH gene rearrangements revealed post-germinal center cell phenotype in both tumors. The VH regions utilized were different in the donor and recipient lymphoma, demonstrating two distinct clonal populations. Despite this difference, the sequences of the translocation (14;18) fusion gene products (BCL2/IgH) from the two lymphomas were identical confirming a common progenitor cell for both malignancies. Conclusion: Our findings strongly suggest the same neoplastic progenitor cells are responsible for the lymphomagenesis in both the donor and recipient. These findings support the concept of a lymphoma progenitor cell.
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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 | 0.000 | 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 | 0.001 |
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".