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Record W2340932116 · doi:10.14288/1.0100342

Androgen regulated genes in prostate cancer cells

2011· article· en· W2340932116 on OpenAlexaboutno aff
Dawn R. Cochrane

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsProstate cancerAndrogenGeneProstateBiologyCancerCancer researchMedicineOncologyInternal medicineGeneticsHormone

Abstract

fetched live from OpenAlex

Prostate cancer is a leading cause of cancer death in Canadian men. Prostate tumors initially depend on androgens for survival and androgen ablation is an effective therapy. Prostate cancer adapts to the androgen depleted environment and begins to grow in an androgen independent (Al) form. Androgens exert their effects through the action of the androgen receptor (AR), a ligand dependent transcription factor. AR is important for cell survival and appears central to the progression of prostate cancer to Al. The hypothesis driving the present studies is that androgen regulated genes are reactivated during prostate cancer progression to Al and as such, identification of novel androgen regulated genes will provide new targets for which therapeutics can be directed. To discover novel androgen regulated genes, cultured prostate cells were treated with androgens and an expression profile generated using a microarray screen. Validation of the microarray experiment revealed the upregulation of genes involved in cell survival (GADD45G), development of drug resistance (MRP4) and protection against oxidative stress (NFE2L2), while a pro-apoptotic gene (BARD1) was down regulated. Probing a tissue microarray, GADD45G was found upregulated in Al prostate cancer. In vitro studies revealed that GADD45G is important for cell survival and acts as a control point for several critical intracellular signaling cascades. One surprising result was that while GADD45G mRNA levels increase with androgens, protein levels decrease. A miRNA, hsa-miR-326 was found to be responsible for inhibition of GADD45G translation and this inhibition could be relieved under stress conditions such as treatment with high levels of taxol. Clusterin, a gene involved in apoptosis, has two isoforms resulting from alternate transcriptional start sites and these were found to be differentially regulated by androgens. Initial transcripts of both isoforms encode an anti-apoptotic protein; however Isoform 1 can be spliced into a pro-apoptotic form, while Isoform 2 cannot. Isoform 1 was found to be repressed by androgens while Isoform 2 is upregulated, consistent with androgens being cytoprotective in prostate cells. The work presented here highlights the importance of androgen regulated genes in prostate cancer survival and identifies GADD45G and clusterin as being potential targets for therapeutics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.005

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 head0.020
GPT teacher head0.216
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

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