MétaCan
Menu
Back to cohort

Abstract A076 Inhibiting iron-sulfur cluster export activates ferroptosis and potentiates cisplatin response in pediatric group 3 medulloblastomas

2024· article· en· W4402267926 on OpenAlexaboutno aff
Sidharth Mahapatra, Ranjana Kanchan, David Doss, Zahraa Wajih Alsafwani, Parvez Κhan, Mohd W. Nasser, Surinder K. Batra

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicFerroptosis and cancer prognosis
Canadian institutionsnot available
Fundersnot available
KeywordsCisplatinCluster (spacecraft)SulfurCancer researchChemistryPharmacologyMedicineInternal medicineChemotherapyComputer scienceComputer network

Abstract

fetched live from OpenAlex

Abstract Background: Medulloblastoma (MB) is the most common malignant pediatric brain tumor, with group 3 tumors (G3MB) being the most aggressive. Uniquely, their aggressiveness is inversely related to the activation of ferroptosis, a form of programmed cell death mediated by iron overload that attenuates tumor growth. The low ferroptosis activation in G3MBs is associated with significantly higher mortality. Intracellularly, G3MBs activate iron-sulfur (Fe-S) cluster export and upregulate the expression of glutathione peroxidase 4 (GPX4), the central regulator of ferroptosis. Our main objective was to investigate whether ferroptosis evasion was a targetable driver of aggressiveness in G3MBs that can be inhibited to potentiate classical chemotherapy. We hypothesized that inhibiting Fe-S cluster export by targeting ABCB7, the principal mitochondrial Fe-S exporter, would induce iron overload, trigger ferroptosis, and ultimately potentiate cisplatin cytotoxicity in G3MBs. Methods: We repressed ABCB7 expression (si-/sh-/KO) in classic G3MB cell lines (HDMB03 and D425) and studied its impact on cancer cell stemness, ferroptosis activation, mitochondrial function, and cisplatin cytotoxicity. We further investigated the impact of artesunate, an FDA-approved anti-malarial agent capable of inducing iron overload and inhibiting ABCB7, on cisplatin action and tumor burden. To rescue cells from iron overload and ferroptosis, we used deferoxamine and ferrostatin-1, respectively. Results: Silencing ABCB7 resulted in cytoplasmic and mitochondrial iron overload, oxidative stress, and lipid ROS, culminating in ferroptosis and growth retardation. Seahorse studies revealed a switch from oxidative phosphorylation to glycolysis, and TMRM staining revealed loss of mitochondrial membrane potential in ABCB7-silenced cells. Notably, silencing ABCB7 abrogated GPX4 expression and reduced GSH levels. Moreover, ABCB7 silencing reduced the IC50 of cisplatin 2-fold, and ABCB7-silenced cells treated with cisplatin experienced a heightened index of ferroptosis. In vivo, silencing ABCB7 resulted in smaller tumors, dramatically prolonged survival, and potentiated cisplatin action. Artesunate recapitulated ABCB7 silencing by potentiating cisplatin action, reducing tumor burden, and prolonging survival in vivo. Conclusion: The current study illustrates how targeting mitochondrial Fe-S cluster export can trigger ferroptosis and potentiate cisplatin in G3MBs. Our study also provides evidence for using an FDA-approved drug with the same mechanism of action to treat G3MB tumors. Citation Format: Sidharth Mahapatra, Ranjana K. Kanchan, David Doss, Zahraa W. Alsafwani, Parvez Khan, Mohd W. Nasser, Surinder K. Batra. Inhibiting iron-sulfur cluster export activates ferroptosis and potentiates cisplatin response in pediatric group 3 medulloblastomas [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr A076.

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 score0.001
Threshold uncertainty score0.005

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.048
GPT teacher head0.369
Teacher spread0.321 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicFerroptosis and cancer prognosisFrench-language works237,207