Bibliographic record
Abstract
Myelodysplastic syndromes (MDS) are a heterogeneous group of clonal stem cell hematologic malignancies characterized by cytopenias as a result of ineffective hematopoiesis and a propensity to progress to acute myeloid leukemia. In low-risk MDS, a characteristic finding in the bone marrow is that of increased apoptosis. The most common structural genomic aberration observed in MDS is the interstitial deletion of the long arm of chromosome 5. MDS with isolated del(5q) is a subtype of MDS characterized by severe anemia and variable neutropenia, but normal or high platelet counts with dysplastic megakaryocytes. MicroRNAs (miRNAs) are short noncoding RNAs capable of exerting their effects by postranscriptionally regulating numerous mRNA targets. We have shown that deletion of chromosome 5q correlates with loss miR-145 and miR-146a that are abundant in hematopoietic stem/progenitor cells (HSPC). Genes involved in innate immune signaling are significantly overrepresented when predicted targets of these two miRNas are surveyed. Specifically, Toll-interleukin-1 receptor domain-containing adaptor protein (TIRAP) and tumor necrosis factor receptor-associated factor-6 (TRAF6) are targets of miR-145 and miR-16a, respectively. Knockdown of miR-145 and miR-146a together or enforced expression of TRAF6, to activate innate immune signaling in mouse HSPC, results in thrombocytosis, mild neutropenia and megakaryocytic dysplasia. A subset of mice transplanted with TRAF6-expressing marrow, in order to aberrantly activate innate immune signaling, progress either to marrow failure or acute myeloid leukemia. Loss of these miRNAs and consequent inappropriate immune signaling results in suppression of HSPC with a relatively greater effect on normal HSPC. Thus, inappropriate activation of innate immune signaling in HSPC phenocopies several general clinical features of low-risk MDS and of del(5q) MDS in particular. Recent work from our group defines additional cytokine pathways that are dysregulated by loss of miR-143 and miR-145. The impact of cytokine dysregulation on HSPC and the marrow microenvironment will be discussed. Disclosures Karsan: Celgene: Research Funding.
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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".