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Differential involvement of the Fas receptor/ligand system in p53-dependent apoptosis in human prostate cancer cells

2000· article· en· W2017680109 on OpenAlexaff
Isao Hara, H. Miyake, Shoji Hara, Soichi Arakawa, Sadao Kamidono

Bibliographic record

VenueThe Prostate · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsDU145LNCaPFas ligandApoptosisBiologyDNA fragmentationCancer researchReceptorCancer cellFas receptorMolecular biologyProstate cancerMTT assayCancerProgrammed cell deathBiochemistryGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: The objective of this study was to characterize the involvement of the Fas receptor/ligand system in p53-dependent apoptosis in human prostate cancer cells. METHODS: The effects of adenovirus-mediated p53 gene transfer (Ad5CMV-p53) into human prostate cancer LNCaP, DU145, and PC3 cells on their growth, apoptosis and Fas receptor/ligand expression were examined by the MTT assay, DNA fragmentation assay, and Northern blot analysis, respectively. The sensitivity of these cells to an agonistic anti-Fas receptor antibody (CH11) and the effects of an antagonistic anti-Fas ligand antibody (4H9) on Ad5CMV-p53-induced apoptosis were analyzed by the MTT assay and DNA fragmentation assay. RESULTS: Ad5CMV-p53 treatment resulted in substantial growth inhibition, induction of apoptosis and up-regulation of Fas receptor as well as Fas ligand mRNA expression in LNCaP, DU145 and PC3 cells. Despite the abundant expression of Fas receptor in all of these cells, CH11 induced apoptosis only in PC3 cells. Furthermore, 4H9 partially blocked the apoptosis induced by Ad5CMV-p53 in PC3 cells, but not in LNCaP and DU145 cells. CONCLUSIONS: The Fas receptor/ligand system is differentially involved in p53-dependent apoptosis in prostate cancer cells; therefore, reintroduction of wild-type p53 into prostate cancer cells may induce apoptosis through Fas receptor/ligand interaction as well as through an alternative pathway.

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 score0.004
Threshold uncertainty score0.307

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 head0.007
GPT teacher head0.219
Teacher spread0.212 · 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

Citations8
Published2000
Admission routes1
Has abstractyes

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