Abnormal morphological and functional nature of bone marrow stromal cells provides preferential support for survival of acute myeloid leukemia cells
Bibliographic record
Abstract
Hematopoietic progenitors, residing in the bone marrow (BM) niche, are supported by mesenchymal stromal cells (MSCs). Cytogenetic and molecular aberrations in these progenitors lead to acute myeloid leukemia (AML). The BM-MSC role in leukemogenesis is not fully elucidated. In the current study, an ex-vivo system of patient's own stroma (POS), best mimicking the in-vivo BM niche, has been developed aiming to unravel interactions and crosstalk between MSCs and AML cells. POS derived from AML patients at diagnosis (Dx), relapse (Rx) and remission (Rm) was compared to healthy donor MSCs in terms of their morphology, growth pattern, support of leukemia cell viability and cytokine profile. Compared to control MSCs, POS (Dx/Rx, Rm) demonstrated a reduced proliferation rate (35%), significantly slower expansion, enlarged cell area (3-4-fold) and provided preferential support to leukemic cells of the same individual. Cytokine profiling showed significantly higher secreted phosphoprotein-1 (SPP1) expression in Dx/Rx and Rm POS compared to healthy MSCs. Additionally, the angiopoietin-1 expression was elevated in Dx/Rx POS with a further increase in the AML cell presence. In conclusion, the fact that POS derived in active disease and remission exhibited similar morphological and functional characteristics, might imply the involvement of the BM niche in leukemogenesis.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".