Common clonal origin of chronic myelomonocytic leukemia and B-cell acute lymphoblastic leukemia in a patient with a germline <i>CHEK2</i> variant
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hematological malignancies are broadly divided into myeloid and lymphoid neoplasms, reflecting the two major cellular lineages of the hematopoietic system. It is generally rare for hematological malignancies to spontaneously progress with a switch from myeloid to lymphoid lineage. We describe the exceptional case of a patient who sequentially developed myelodysplastic syndrome (MDS), chronic myelomonocytic leukemia (CMML), and B-cell acute lymphoblastic leukemia (B-ALL), as well as our investigation into the underlying pathogenesis. Using whole-exome sequencing (WES) performed on sorted CMML and B-ALL cell fractions, we identified both common and unique potential driver mutations, suggesting a branching clonal evolution giving rise to both diseases. Interestingly, we also identified a germline variant in the cancer susceptibility gene CHEK2 . We validated that this variant (c.475T > C; p.Y159H), located in the forkhead-associated (FHA) domain, impairs its capacity to bind BRCA1 in cellulo. This unique case provides novel insight into the genetics of complex hematological diseases and highlights the possibility that such patients may carry inherited predispositions.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it