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Record W2008810235 · doi:10.1158/1538-7445.am2014-506

Abstract 506: H2O2 upregulates xCT in human breast cancer cells via NRF-2

2014· article· en· W2008810235 on OpenAlexaffabout
Eric Habib, Katja Linher‐Melville, Gurmit Singh

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics, phytochemicals, and oxidative stress
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGlutathioneGCLMOxidative stressCancer cellTranscription factorGlutathione synthetaseCell biologyKEAP1IntracellularChemistryBiochemistryBiologyGCLCCancerEnzymeGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Cancer cells adapt to high levels of oxidative stress in order to survive and proliferate, making the transcription factors involved in antioxidant defense regulation targets of interest. The transcription factor NF E2 Related Factor 2 (NRF-2) regulates cellular defense genes including those encoding intracellular redox-balancing proteins such as enzymes involved in glutathione metabolism. Glutathione in particular is an important intracellular antioxidant molecule. NRF-2 binds to the Antioxidant Response Element (ARE) in the promoter of its target genes. Under basal conditions, KEAP1 acts as an inhibitor that targets NRF-2 for ubiquitination. During oxidative stress, NRF-2 dissociates from KEAP1 and enters the nucleus to bind to the ARE sequence. It is hypothesized that the elevated Reactive Oxygen Species may be depleting the glutathione levels within the cancer cell. System xc- is a cysteine/glutamate antiporter that exports glutamate while importing cysteine to synthesize glutathione. In response to oxidative stress the cells increase system xc- activity in order to provide cysteine for glutathione synthesis. There is evidence that expression of xCT the specific subunit of System X is regulated by NRF-2. However this has not yet been demonstrated in human cancer cells, which is the focus of this project. Basal expression of NRF-2, Keap1 and xCT was characterized in two breast cancer cell lines (MDA MB 231 and MCF-7) compared to normal human breast epithelial 184B5 cells. Compared to 184B5 cells, Keap-1, NRF-2 and xCT were upregulated in MDA MB 231 cells, but down regulated in MCF-7 cells. MCF-7 cells were treated with H202 resulting in NRF-2 protein accumulation in the nucleus and decreased levels in the cytosol. Under the same treatment conditions, Keap-1 protein decreased in the nucleus and increased in the cytosol. With H202 treatment, xCT mRNA levels increased in MCF-7 cells. We have cloned approximately 2.6 kilobase (-2329 to +278 bp) of the human xCT promoter region from genomic DNA isolated from MDA MB 231 breast cancer cells. We found that the xCT promoter was responsive to treatment with H2O2, which increased transcriptional activity. This is consistent with results described for the mouse promoter, which is known to contain an antioxidant response element that can be bound by NRF-2 during oxidative stress. Co transfection of MDA MB 231 with the xCT promoter and an NRF-2 expression vector also increased promoter activity. This data suggests that under oxidative stress, NRF-2 is localized to the nucleus and transcriptionally upregulates xCT. This is the first study in which the regulation of xCT has been linked to oxidative stress via NRF-2 in human breast cancer cells. This work was supported by the Canadian Institutes for Health Research. Citation Format: Eric Habib, Katja Linher-Melville, Gurmit Singh. H2O2 upregulates xCT in human breast cancer cells via NRF-2. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 506. doi:10.1158/1538-7445.AM2014-506

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 score0.005
Threshold uncertainty score0.017

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)0.0050.001

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 head0.028
GPT teacher head0.363
Teacher spread0.335 · 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
Published2014
Admission routes2
Has abstractyes

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