Secondary Precursor T-Cell Lymphoblastic Lymphoma Following Precursor B-cell Acute Lymphoblastic Leukemia: A Case Report and Review of the Literature
Bibliographic record
Abstract
Although relapse of lymphoma/leukemia is not uncommon, sequential development of a second lymphoma/leukemia of a different cell lineage is rare. We report the case of a 3-year-old girl who initially presented with precursor B-cell acute lymphoblastic leukemia (B-ALL), characterized by a cryptic t(12;21) with associated ETV6/RUNX1 fusion, an 11q (MLL) deletion, and a balanced inv(2)(q31q37). She was successfully treated but five years later developedthymicprecursor T-cell lymphoblastic lymphoma (T-LBL) expressing a completely different phenotypic profile. Fluorescence in situ hybridization testing identified a MLL rearrangement but indicated no ETV6/RUNX1 fusion. Although the marrow was uninvolved, aspirates evaluated by chromosome studies revealed the same inv(2q), suggesting a constitutional abnormality distinct from the somatic alterations associated with her B-ALL and T-LBL. This raisesthe possibilityof a potential tumor suppressor gene or proto-oncogene residing in the region of the inversion breakpoints which could contribute to predisposition to the development of lymphoblastic leukemias/lymphomas. While secondary leukemia may emerge as a therapy-related process and the presence of an MLL rearrangement in the T-LBL represents an interesting abnormality in this regard,athymicpresentation would be exceedingly unusual. To our knowledge, this is the first reported case of B-ALL followed by an apparently genetically unrelatedT-LBL.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".