Bone marrow malignancies as paradigms of dysfunctional cell adhesion mechanisms
Bibliographic record
Abstract
In adult bone marrow (BM), hematopoietic stem/progenitor cells (HSPCs) reside in micro - environments which provide instructions for self-renewal, survival, proliferation, differentiation and migration. Adequate response to such complex signals implies communication between HSCs, BM stroma and extracellular matrix molecules (ECM). This is achieved mainly through adhesion molecules. Malignant hematopoietic cells also interact with the BM microenvironment, which provides them with proliferative and survival advantages. Most of the studies on haematological diseases describe cell-ECM interactions as key mechanisms in tumor progression, while genetic alterations of HSC are considered major initiators of the malignant process. However, accumulating evidence suggests that an altered BM microenvironment provides anomalous cell adhesion signals, facilitating tumor initiation. Myeloproliferative and myelodysplastic syndromes are good examples of hematological disorders where alterations in BM microenvironment may play an important role in disease initiation. This review discusses the role for adhesion signals in regulating the BM microenvironment in normalcy and disease.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".