Identification of T-lymphocytic leukemia–initiating stem cells residing in a small subset of patients with acute myeloid leukemic disease
Bibliographic record
Abstract
Xenotransplantation of acute myeloid leukemia (AML) into immunodeficient mice has been critical for understanding leukemogenesis in vivo and defining self-renewing leukemia-initiating cell subfractions (LICs). Although AML-engraftment capacity is considered an inherent property of LICs, substrains of NOD/SCID mice that possess additional deletions such as the IL2Rγc(null) (NSG) have been described as a more sensitive recipient to assay human LIC function. Using 23 AML-patient samples, 39% demonstrated no detectable engraftment in NOD/SCID and were categorized as AMLs devoid of LICs. However, 33% of AML patients lacking AML-LICs were capable of engrafting NSG recipients, but produced a monoclonal T-cell proliferative disorder similar to T-ALL. These grafts demonstrated self-renewal capacity as measured by in vivo serial passage and were restricted to CD34-positive fraction, and were defined as LICs. Molecular analysis for translocations in MLL genes indicated that these AML patient-derived LICs all expressed the MLL-AFX1 fusion product. Our results reveal that the in vivo human versus xenograft host microenvironment dictates the developmental capacity of human LICs residing in a small subset of patients diagnosed with AML harboring MLL mutations. These findings have implications both for the basic biology of CSC function, and for the use of in vivo models of the leukemogenic process in preclinical or diagnostic studies.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".