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Record W2979433645 · doi:10.1182/blood.v116.21.122.122

Iron Overload Accelerates Development of Leukaemia: Evidence From a Mouse Model

2010· article· en· W2979433645 on OpenAlexaff
Lap Shu Alan Chan, Lilly Gu, Michael J. Rauh, Richard A. Wells

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsBone marrowHaematopoiesisContext (archaeology)FerritinDNA damageBiologyCancer researchChemistryInternal medicineMedicineStem cellImmunologyBiochemistryGeneticsDNA

Abstract

fetched live from OpenAlex

Abstract Abstract 122 Introduction: Transfusion-related iron overload is common in MDS. Iron catalyzes, via the Fenton reaction, excess production of reactive oxygen species (ROS), which are known to cause cell senescence and death, promote DNA damage and accelerate carcinogenesis. In addition to the well characterized effects of iron overload on the heart, liver, and endocrine organs, clinical data have suggested iron also causes haematopoietic toxicity in MDS, since iron chelation can lead to dramatic reduction in transfusion requirements and in large registry studies leukaemia-free survival is inversely related to serum ferritin. These observations have led to controversy since they are supported by no mechanistic or animal model data. Hypothesis: We have demonstrated that iron overload increases intracellular ROS (iROS) in early haematopoietic cells in MDS. We hypothesize that iron, via increased iROS, promotes accumulation of DNA damage in MDS HSCs and thus, in the context of the genomic instability of the MDS clone, accelerates progression of MDS to AML. Here we report the results of experiments that establish the biological and mechanistic plausibility of this hypothesis. Results: To establish that the B6D2F1 mouse model, which has been used in studies of cardiac and hepatic iron overload, is also a suitable model of bone marrow iron overload, mice (n=5 per cohort) were given iron dextran (0-150 mg i.p.) and sacrificed 3 days later. Severe weight loss was noted in the iron-loaded animals. Iron deposition was confirmed by Prussian Blue staining in the bone marrow, liver, myocardium, and the red pulp of the spleen. The cardiac effects of this degree of iron overload compromise survival, preventing assessment of longer-term effects of iron on haematopoiesis. We therefore evaluated the effects of lower doses of iron dextran (0, 5, 10, or 20 mg; n=5 per cohort) over 3 months. Increased iROS was seen in lineage negative (lin−) CD45+ bone marrow cells for animals that received 5 mg iron. However, iROS levels decreased progressively from the 10–20 mg treated animals, possibly representing an increase in apoptosis in early haematopoietic cells exposed to the greatest oxidative stress. Consistent with this, we observed increased apoptosis in early erythroid progenitors for the 20 mg iron treated animals (p<0.05). We adapted the chronic iron overload mouse model to evaluate the effect of iron overload on leukaemogenesis. B6D2F1 mice were sublethally irradiated (300 cGy) followed by s.c. injection of 0.5 mg dexamethasone, a protocol which induces a pre-leukaemic state leading, in SJL mice, to AML in 50–75% with a 12 month latency. These mice were then loaded with 0 or 5 mg I.P. iron dextran, n=6 per cohort). Three mice from each cohort were sacrificed and analyzed 3 months after iron loading. Expansion of the splenic white pulp was observed in iron loaded mice and flow cytometric analysis of the bone marrow cells revealed expansion of the lin− CD45+ early haematopoietic population. Furthermore, in one iron loaded mouse we observed a lin− CD45lo population with size and complexity similar to that of haematopoietic progenitors, suggesting blast accumulation. The remaining mice (n=3 per cohort) continued to be observed. One mouse in the iron loaded cohort died eight months after iron loading. Post-mortem examination revealed severe hepatomegaly and splenomegaly, massive splenic and hepatic infiltration by leukaemic blasts, and extensive bone marrow necrosis, fibrosis, and substantial blast accumulation. To establish a plausible mechanism for the promotion of leukaemia development by iron, we tested the ability of iron to cause DNA damage in a haematopoietic cell line. HL60 cells line were treated with ferric ammonium sulfate (10 or 100 μ M) and DNA damage was assessed by flow cytometry for γH2AX, an indicator of DNA double-strand breaks. Elevated γH2AX was observed in HL60 cells 2 hours after iron loading, and sustained DNA damage was noted till the end of the experiment at day 4. Conclusions: Our observations demonstrate that iron is mutagenic in haematopoietic cells and can promote progression of a pre-leukaemic state to frank AML. We postulate that iron is not itself leukaemogenic, but, by causing DNA damage, promotes clonal evolution in MDS. Further evaluation in animal models and in clinical trials is necessary to elucidate the clinical implications of these observations, especially in regard to the deployment of iron chelation therapy. Disclosures: No relevant conflicts of interest to declare.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.021
GPT teacher head0.255
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2010
Admission routes1
Has abstractyes

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