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Record W2060374612 · doi:10.1074/jbc.m111.252080

Regulation of Androgen Receptor and Prostate Cancer Growth by Cyclin-dependent Kinase 5

2011· article· en· W2060374612 on OpenAlexfundno aff
Fu-Ning Hsu, Mei Chih Chen, Ming-Ching Chiang, Eugene Lin, Yueh-Tsung Lee, Pao-Hsuan Huang, Guan-Shun Lee, Ho Lin

Bibliographic record

VenueJournal of Biological Chemistry · 2011
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsnot available
FundersBeef Cattle Research Council
KeywordsProstate cancerCancer researchAndrogen receptorProstateCancerCyclin-dependent kinase 5Cell growthKinaseCancer cellBiologyChemistryEndocrinologyInternal medicineMedicineCell biologyCyclin-dependent kinase 2Protein kinase ABiochemistry

Abstract

fetched live from OpenAlex

Prostate cancer is the most frequently diagnosed male malignancy. The normal prostate development and prostate cancer progression are mediated by androgen receptor (AR). Recently, the roles of cyclin-dependent kinase 5 (Cdk5) and its activator, p35, in cancer biology are explored one after another. We have previously demonstrated that Cdk5 may regulate proliferation of thyroid cancer cells. In addition, we also identify that Cdk5 overactivation can be triggered by drug treatments and leads to apoptosis of prostate cancer cells. The aim of this study is to investigate how Cdk5 regulates AR activation and growth of prostate cancer cells. At first, the data show that Cdk5 enables phosphorylation of AR at Ser-81 site through direct biochemical interaction and, therefore, results in the stabilization of AR proteins. The Cdk5-dependent AR stabilization causes accumulation of AR proteins and subsequent activation. Besides, the positive regulations of Cdk5-AR on cell growth are also determined in vitro and in vivo. S81A mutant of AR diminishes its interaction with Cdk5, reduces its nuclear localization, fails to stabilize its protein level, and therefore, decreases prostate cancer cell proliferation. Prostate carcinoma specimens collected from 177 AR-positive patients indicate the significant correlations between the protein levels of AR and Cdk5 or p35. These findings demonstrate that Cdk5 is an important modulator of AR and contributes to prostate cancer growth. Therefore, Cdk5-p35 may be suggested as diagnostic and therapeutic targets for prostate cancer in the near future. Prostate cancer is the most frequently diagnosed male malignancy. The normal prostate development and prostate cancer progression are mediated by androgen receptor (AR). Recently, the roles of cyclin-dependent kinase 5 (Cdk5) and its activator, p35, in cancer biology are explored one after another. We have previously demonstrated that Cdk5 may regulate proliferation of thyroid cancer cells. In addition, we also identify that Cdk5 overactivation can be triggered by drug treatments and leads to apoptosis of prostate cancer cells. The aim of this study is to investigate how Cdk5 regulates AR activation and growth of prostate cancer cells. At first, the data show that Cdk5 enables phosphorylation of AR at Ser-81 site through direct biochemical interaction and, therefore, results in the stabilization of AR proteins. The Cdk5-dependent AR stabilization causes accumulation of AR proteins and subsequent activation. Besides, the positive regulations of Cdk5-AR on cell growth are also determined in vitro and in vivo. S81A mutant of AR diminishes its interaction with Cdk5, reduces its nuclear localization, fails to stabilize its protein level, and therefore, decreases prostate cancer cell proliferation. Prostate carcinoma specimens collected from 177 AR-positive patients indicate the significant correlations between the protein levels of AR and Cdk5 or p35. These findings demonstrate that Cdk5 is an important modulator of AR and contributes to prostate cancer growth. Therefore, Cdk5-p35 may be suggested as diagnostic and therapeutic targets for prostate cancer in the near future.

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 score0.101
Threshold uncertainty score0.483

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 head0.040
GPT teacher head0.299
Teacher spread0.259 · 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

Citations107
Published2011
Admission routes1
Has abstractyes

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