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Record W4405054868 · doi:10.1182/blood-2024-211689

Monocytic Leukemia Cell Resistance to Ferroptosis Is Overcome By Iron Chelation

2024· article· en· W4405054868 on OpenAlexaff
Zachariah A.H. Fenniri, Sarah Lane, Juergen Ehlting, Patrick B. Walter

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsLeukemiaDeferiproneAcquired resistanceCancer researchMedicineResistance (ecology)BiologyImmunologyDeferoxamineInternal medicineCancer

Abstract

fetched live from OpenAlex

Introduction:In the United States, acute myeloid leukemias (AML) have a mean 5-year survival rate of 32%, while the monocytic subtype (AMoL) has a mean 5-year survival rate of 27%1. Therapies targeting induction of ferroptosis hold promise as new strategies for AML, however, resistance can be a problem2. To investigate ferroptosis resistance, we have studied iron deficiency and excess in AMoL cells. Fundamentally it is problematic to have either too little iron (dysfunctional energy metabolism and DNA repair) or too much iron (increased reactive oxygen species (ROS) that induce ferroptosis). Dysregulated iron homeostasis, in favour of accumulation, is a central feature of highly proliferative leukemias, enabling the required energy metabolism and biosynthesis for unrestrained proliferation. Iron deprivation through the use of iron chelators and the induction of ferroptosis are two potential avenues of clinical antileukemic treatment. Objective:To examine the effects of chronic states of iron deficiency and excess in THP-1 cells, an in vitro model of AMoL. Moreover, this study sought to examine the effects of these chronic iron states on THP-1 cell resistance to erastin, a compound that induces ferroptosis by inhibiting the uptake of cystine, a pivotal source of extracellular cysteine used in the synthesis of glutathione (GSH), and thereby, the function of glutathione peroxidase 4 (GPX4). Erastin is known to be largely ineffective as a ferroptosis-inducer in THP-1 cells and other leukemic cell lines. Methods:THP-1 cells were cultured in various concentrations of ferric citrate or deferoxamine (DFO) for 96 hours to simulate chronic states of iron excess and deficiency, respectively. Following 72 hours of treatment, cells were administered 40 μM erastin for the final 24 hours of treatment. Cell death, metabolic activity, and intracellular GSH were quantified. Results:20 μM, 40 μM, and 100 μM DFO induced marked, dose-dependent cell death. 40 μM DFO induced a 60.7% reduction in metabolic activity, relative to control cells (± 34.4%, p = 0.0082), while 100 μM DFO induced a mean 91.2% reduction in metabolic activity, relative to control cells (± 4.7%, p < 0.0001). THP-1 cell resistance to erastin was partially attenuated by ferric citrate treatment, evidenced by a small but consistent iron-dose dependent increase in cell death when co-treated with 40 μM erastin. 20 μM DFO is shown to act synergistically with 40 μM erastin in THP-1 cells, inducing a significant increase in cell death, and in the surviving cells, a mean 53.2% reduction in metabolic output relative to control cells (± 11.4%, p = 0.0029) and a mean 60.5% reduction in metabolic output relative to cells treated solely with 20 μM DFO (± 11.4%, p < 0.0001). Conclusions:The present study demonstrates the robustness of THP-1 cells in states of iron excess and their sensitivity to iron deficiency. It also provides novel evidence of ferric citrate attenuating THP-1 cell resistance to erastin and, most notably, a synergistic lethality between an iron chelator and ferroptosis-inducer (DFO and erastin). This result suggests a novel avenue of antileukemic combination therapy that has potential to combat the poor prognoses of AMoL and acute leukemias, more broadly. References: 1 SEER*Explorer: An interactive website for SEER cancer statistics. (2023). National Cancer Institute. https://seer.cancer.gov/statistics-network/explorer/ 2.Akiyama, H., Carter, B.Z., Andreeff, M., and Ishizawa, J. Molecular Mechanisms of Ferroptosis and Updates of Ferroptosis Studies in Cancers and Leukemia. (2023). Cells. Apr; 12(8): 1128. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136912/

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)0.000
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.244
Teacher spread0.236 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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