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Small interference RNA targeting heat‐shock protein 27 inhibits the growth of prostatic cell lines and induces apoptosis via caspase‐3 activation <i>in vitro</i>

2006· article· en· W2005202590 on OpenAlexafffund
Palma Rocchi, Paul Jugpal, Alan So, Shannon Sinneman, Susan Ettinger, Ladan Fazli, Colleen C. Nelson, Martin Gleave

Bibliographic record

VenueBritish Journal of Urology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsUniversity of British ColumbiaVancouver General Hospital
FundersNational Cancer InstituteNational Institutes of HealthTerry Fox Foundation
KeywordsLNCaPHsp27Gene knockdownGene silencingMolecular biologySmall interfering RNABiologyCancer researchApoptosisHeat shock proteinRNA interferenceProstate cancerCell cultureTransfectionCancerHsp70RNAGeneBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate synthetic small interference RNA (siRNA) compounds targeting heat-shock protein 27 (Hsp27) as an alternative approach to Hsp27 'knockdown' in prostate cancer cells, as Hsp27 expression is highly up-regulated in prostate cancer cells after androgen withdrawal or chemotherapy, to become uniformly highly expressed in androgen-independent (AI) prostate cancer. MATERIALS AND METHODS: We recently showed that targeting Hsp27 by a 2'-methoxyethyl modified phosphorothioate antisense oligonucleotide, OGX-427, inhibits Hsp27 expression and enhances hormone- and chemotherapy in prostate cancer xenograft models. In the present study, a 'gene walk' screening different siRNAs was initially used in PC-3 and LNCaP cells to determine the most potent sequence to down-regulate Hsp27 mRNA and protein levels. The effects of Hsp27 silencing on in vitro growth rates were studied by tetrazolium-blue and crystal violet assays. Apoptosis was determined by single-stranded DNA nuclear and cleaved caspase-3 immunostaining, as well as flow cytometry. Spotted microarrays with 14,000 human oligonucleotides were used to examine changes in gene expression. RESULTS: Low concentrations of 1 nm siRNA decreased Hsp27 mRNA levels by 19-fold and suppressed protein expression to undetectable levels. Silencing of Hsp27 in prostate cancer cells by siRNA # 2 increased apoptotic rates 2.4-4 fold and caused 40-76% inhibition of cell growth in LNCaP and PC-3 cells. Characteristic cleavage of caspase-3 occurred after treatment with Hsp27 siRNA (1 nm). cDNA microarray analysis from LNCaP and PC-3 cell lines revealed differential gene expression profiles after Hsp27 down-regulation that could be used to identify various survival pathways involved in androgen-dependent and AI growth. CONCLUSIONS: These findings illustrate the potential utility of Hsp27-silencing therapy and highlight Hsp27 siRNA strategies as a novel and highly effective tool, with the potential for future targeted therapy in enhancing the efficacy of chemotherapy in advanced prostate cancer.

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)0.001
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 score0.003
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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

Citations123
Published2006
Admission routes2
Has abstractyes

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