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Record W3093982502 · doi:10.1158/1535-7163.mct-20-0333

TACIMA-218: A Novel Pro-Oxidant Agent Exhibiting Selective Antitumoral Activity

2020· article· en· W3093982502 on OpenAlexafffund
Jamilah Abusarah, Yun Cui, Nehmé El-Hachem, Abed El-Hakim El-Kadiry, Ian Hammond-Martel, Hugo Würtele, Annie Beaudry, Noël J.‐M. Raynal, Françis Robert, Jerry Pelletier, Maja Jankovic, François Mercier, Samaneh Kamyabiazar, Borhane Annabi, Moutih Rafei

Bibliographic record

VenueMolecular Cancer Therapeutics · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics, phytochemicals, and oxidative stress
Canadian institutionsJewish General HospitalUniversité du Québec à MontréalCentre Hospitalier Universitaire Sainte-JustineHôpital Maisonneuve-RosemontUniversité de MontréalMcGill University
FundersMerck Sharp and DohmeMcGill University Health CentreMeso Scale DiagnosticsMerck
KeywordsApoptosisOxidative stressProgrammed cell deathChemistryProtein kinase BCancer cellCancer researchCell cultureBiologyBiochemistryCancerCell biologyGenetics

Abstract

fetched live from OpenAlex

poptosis (TACIMA)-218. We demonstrate that this molecule engenders apoptotic cell death in genetically diverse murine and human cancer cell lines, irrespective of their p53 status, while sparing normal cells. TACIMA-218 causes oxidative stress in the absence of protective antioxidants normally induced by Nuclear factor erythroid 2-related factor 2 activation. As such, TACIMA-218 represses RNA translation and triggers cell signaling cascade alterations in AKT, p38, and JNK pathways. In addition, TACIMA-218 manifests thiol-alkylating properties resulting in the disruption of redox homeostasis along with key metabolic pathways. When administered to immunocompetent animals as a monotherapy, TACIMA-218 has no apparent toxicity and induces complete regression of pre-established lymphoma and melanoma tumors. In sum, TACIMA-218 is a potent oxidative stress inducer capable of selective cancer cell targeting.

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 categoriesMeta-epidemiology (narrow)
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 score0.046
Threshold uncertainty score1.000

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 head0.041
GPT teacher head0.291
Teacher spread0.250 · 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.

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

Citations7
Published2020
Admission routes2
Has abstractyes

Explore more

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