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Record W2755486469 · doi:10.1096/fj.201700275r

Exploiting mitochondrial and oxidative vulnerabilities with a synthetic analog of pancratistatin in combination with piperlongumine for cancer therapy

2017· article· en· W2755486469 on OpenAlexafffund
Dennis Ma, Tyler Gilbert, Christopher Pignanelli, Daniel Tarade, Megan Noel, Fadi Mansour, Manika Gupta, Sabrina Ma, Jesse Ropat, Colin Curran, Sergey Vshyvenko, Tomáš Hudlický, Siyaram Pandey

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldChemistry
TopicChemical synthesis and alkaloids
Canadian institutionsBrock UniversityUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsOxidative phosphorylationCancer therapyCancerMedicineMitochondrionCancer researchChemistryInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Harsh adverse effects as a result of nonspecific targeting of chemotherapeutics currently pose obstacles in cancer therapy; thus, it would be invaluable to devise novel approaches to specifically target cancer cells. The natural compound pancratistatin (PST) has been shown to preferentially induce apoptosis in a variety of cancer cell types. Recently, several analogs of PST were shown to be efficacious in inducing apoptosis in a variety of aggressive cancer cell types via cancer cell mitochondrial targeting; it caused dissipation of mitochondrial membrane potential and decreased oxygen consumption, and with isolated mitochondria, it induced the release of apoptogenic factors. The natural compound piperlongumine has been shown to target the stress response to reactive oxygen species in cancer cells. We explored the combinatorial potential of two small molecules (SVTH‐6 and piperlongumine) that target these vulnerabilities in cancer cells. Interestingly, when combined with the PST analog, SVTH‐6, an increase in mitochondrial dysfunction was observed, leading to an enhanced cytotoxic effect against several human cancer cell types. Additionally, this combination treatment was effective in reducing cancer cell growth in physiologically more relevant 3‐dimensional spheroid cell cultures. This enhanced effect was found to be dependent on reactive oxygen species generation because an antioxidant could rescue cancer cells from this combination treatment. Importantly, noncancerous cells were markedly less sensitive to this combination treatment. Thus, targeting mitochondrial and oxidative stress vulnerabilities of cancer cells could be an effective strategy for cancer therapy.—Ma, D., Gilbert, T., Pignanelli, C., T arade, D., Noel, M., Mansour, F., Gupta, M., Ma, S., Ropat, J., Curran, C., Vshyvenko, S., Hudlicky, T., Pandey. S. Exploiting mitochondrial and oxidative vulnerabilities with a synthetic analog of pancratistatin in combination with piperlongumine for cancer therapy. FASEB J. 32,417‐430 (2018). www.fasebj.org

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.027
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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 teacher head, 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

Citations15
Published2017
Admission routes2
Has abstractyes

Explore more

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