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Record W2031187947 · doi:10.4161/cbt.7.3.5364

Synergy of pancratistatin and tamoxifen on breast cancer cells in inducing apoptosis by targeting mitochondria

2008· article· en· W2031187947 on OpenAlex
Peter Siedlakowski, Amanda McLachlan-Burgess, Carly Griffin, Sridhar S. Tirumalai, James McNulty, Siyaram Pandey

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer Biology & Therapy · 2008
Typearticle
Languageen
FieldChemistry
TopicChemical synthesis and alkaloids
Canadian institutionsUniversity of Windsor
FundersWayne State University
KeywordsApoptosisTamoxifenEstrogen receptorMitochondrionCancer cellCancer researchBiologyReactive oxygen speciesCell cultureCell biologyCancerChemistryBreast cancerBiochemistryGenetics

Abstract

fetched live from OpenAlex

Pancratistatin (PST), a natural compound obtained from the Hawaiian spider lily, is known to be specific and selective in inducing apoptosis in multiple cancer cell lines while sparing noncancerous cells and cell lines. Here we report the ability of PST to induce apoptosis specifically in human breast cancer cell lines MCF-7 and Hs-578-T compared to their non cancerous counterparts. In cancer cells PST caused increased levels of reactive oxygen species (ROS), decreased ATP and mitochondrial membrane permeabilization indicating the activation of the mitochondrial pathway of apoptosis. In combination with the anti-estrogen Tamoxifen, PST had a synergic effect. Both compounds caused increased production of ROS when applied to isolated mitochondria from these cancer cell lines supporting the observation that Tamoxifen might work through mechanisms distinct from the canonical estrogen receptor antagonism.

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.

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 categoriesInsufficient payload (model declined to judge)
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 score0.045
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)0.0010.000

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 head0.249
Teacher spread0.236 · 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