Iron Overload, Oxidative Stress, and Somatic Mutations in <scp>MDS</scp>: What Is the Association?
Bibliographic record
Abstract
INTRODUCTION: Iron overload (IOL) accumulates in myelodysplastic syndromes (MDS) from expanded erythropoiesis and transfusions. Somatic mutations (SM) are frequent in MDS and stratify patient risk. MDS treatments reversing or limiting transfusion dependence are limited. METHODS: The literature was reviewed on how IOL and oxidative stress interact with specific SM in MDS to influence cellular physiology. PubMed searches included keywords of each specific mutation combined with iron, oxidative stress, and reactive oxygens species (ROS). Papers relevant to hematopoietic stem/progenitor cells, the bone marrow microenvironment, MDS, AML or other myeloid disorders were preferred. Included were the most frequent SM in MDS, SM of the International Prognostic Scoring System-Molecular (IPSS-M), of familial predisposing conditions and the CMML PSS-molecular. RESULTS: About 31 SM plus four familial conditions were searched. Discussed are the frequency of each SM, whether function is gained or lost, early or late SM status, a function of the unmutated gene, and function considering iron and oxidative stress. DISCUSSION: Given limited effective MDS therapies, considering how IOL and ROS interact with SM to influence cellular physiology in the hematopoietic system, increasing bone marrow failure progression or malignant transformation may be of benefit and support optimization of measures to reduce IOL or neutralize ROS.
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How this classification was reachedexpand
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".