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Record W3196253174

Metabolic Manipulation of Glutathione as an Anticancer Therapeutic Target

2020· dissertation· en· W3196253174 on OpenAlexfundno aff
Patrick C. Turnbull

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGlutathionePharmacologyMedicineChemistryComputational biologyBiologyBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Many cancers rely on glycolysis rather than mitochondrial metabolism as their primary source of ATP. As such, altering this balance through forced mitochondrial activation has yielded promising results as anticancer therapies for specific cancers. In previous studies, stimulated mitochondrial activation through exposure to palmitoylcarnitine, a mitochondrial fatty-acid substrate, resulted in colon and prostate cancer-specific cell death, however, mitochondrial fatty-acid oxidation led to increased cervical cancer growth. The primary mechanism for promoting antineoplastic effects in response to palmitoylcarnitine is through oxidative stress, namely through production of superoxide and subsequently hydrogen peroxide (H2O2). However, H2O2 can be hormetic in nature, whereby elevated H2O2 can result in deleterious effects, yet modest H2O2 can promote growth. Therefore, the ability of the cell to regulate H2O2 is of apparent importance, highlighting glutathione, the most abundant intracellular antioxidant, as a potential determinant of cancer survival following palmitoylcarnitine. The purpose of this dissertation was to first determine the response of glutathione to palmitoylcarnitine within relation to cell survival. Following palmitoylcarnitine, glutathione responses seemingly dictated cell fate, whereby HT29 colorectal carcinoma cells displayed decreased cell survival, increased H2O2 and decreased glutathione. CCD 841 normal colon cells were insensitive to palmitoylcarnitine despite increased H2O2, yet maintained glutathione. HepG2 hepatocarcinoma cells, cells associated with fatty-acid stimulated disease progression, increased cell growth with coordinated increases in glutathione following palmitoylcarnitine. This dissertation considered recent evidence that suggests combined inhibition of glutathione and thioredoxin, another intracellular antioxidant, is required for anticancer effects in established tumours. Auranofin is a putative inhibitor of the thioredoxin system. HCT 116 p53-/- cells were resistant to auranofin at doses that HCT 116 p53+/+ cells were sensitive to, however concurrent exposure of auranofin and glutathione depletion through serine and glycine starvation sensitized HCT 116 p53-/- cells to decreased cell survival. This observation was repeated in a p53mutant cell line, HT29. Taken together, this thesis identifies glutathione as an important regulator in determining cell fate in response to palmitoylcarnitine, the dual role of glutathione and thioredoxin in influencing cell fate in relation to p53, and highlights the potential of redox-buffering systems as therapeutic targets for selective antineoplastic growth.

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 score0.004

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 head0.013
GPT teacher head0.204
Teacher spread0.191 · 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
Published2020
Admission routes1
Has abstractyes

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Same venueYork University Digital Library (York University)Same topicSulfur Compounds in BiologyFrench-language works237,207