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Record W1973813508 · doi:10.1016/j.juro.2011.02.975

1289 MIR-96 REGULATES APOPTOSIS IN PROSTATE CANCER VIA INHIBITION OF FOXO1

2011· article· en· W1973813508 on OpenAlexaboutno aff
Annika Schaefer, Monika Jung, Carsten Stephan, Jonas Busch, Andreas Erbersdobler, George M. Yousef, Klaus Jung

Bibliographic record

VenueThe Journal of Urology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFOXO transcription factor regulation
Canadian institutionsnot available
Fundersnot available
KeywordsLNCaPProstate cancerApoptosisMedicineAnnexinCancer researchCarcinogenesisCancerFOXO1Propidium iodideInternal medicineProtein kinase BProgrammed cell deathBiologyGenetics

Abstract

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You have accessJournal of UrologyProstate Cancer: Basic Research1 Apr 20111289 MIR-96 REGULATES APOPTOSIS IN PROSTATE CANCER VIA INHIBITION OF FOXO1 Annika Schaefer, Monika Jung, Carsten Stephan, Jonas Busch, Andreas Erbersdobler, George Yousef, and Klaus Jung Annika SchaeferAnnika Schaefer Berlin, Germany , Monika JungMonika Jung Berlin, Germany , Carsten StephanCarsten Stephan Berlin, Germany , Jonas BuschJonas Busch Berlin, Germany , Andreas ErbersdoblerAndreas Erbersdobler Rostock, Germany , George YousefGeorge Yousef Toronto, Canada , and Klaus JungKlaus Jung Berlin, Germany View All Author Informationhttps://doi.org/10.1016/j.juro.2011.02.975AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES miR-96 is upregulated in prostate cancer specimen in comparison to normal adjacent tissue and is an independent marker of biochemical relapse in a multivariate prediction model. Therefore we investigated the functional role of miR-96 in prostate cancer carcinogenesis. METHODS Following transfection with miR-96, LNCaP prostate cancer cells showed a higher proliferation in comparison to control, which could be inhibited by cotransfection with anti-miR-96. Induction of apoptosis with camptothecine showed that the enhanced proliferation could be explained by an inhibited apoptosis in miR-96 overexpressing cells, as measured by Annexin-V FITC/ Propidium Iodide staining. RESULTS In-silico target prediction and Gene Ontology (GO) analysis identified FOXO1 as one possible pro-apoptotic target molecule of miR-96. FOXO1 is a transcription factor, which regulates expression of pro-apoptotic genes, for example Bax and FasL and is controlled by PI3K-Akt kinase signaling. Luciferase reportergene assay proofed miR-96 binding to both predicted bindings sites in the FOXO1 3'-UTR. Overexpression of miR-96 in LNCaP cells resulted in a reduced FOXO1 expression on mRNA and protein level. Quantitative real time PCR and immunhistochemistry of 69 prostate cancer specimens revealed a downregulation of FOXO1 both on mRNA and protein level. CONCLUSIONS This is the first study reporting the anti apoptotic function of miR-96 in prostate cancer. The oncogenic impact of this miRNA can be at least partially explained by its inhibition of FOXO1. As miR-96 might regulate expression of an abundance of other genes in prostate cancer, high throughput mRNA and protein expression analysis might help. © 2011 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 185Issue 4SApril 2011Page: e516 Advertisement Copyright & Permissions© 2011 by American Urological Association Education and Research, Inc.MetricsAuthor Information Annika Schaefer Berlin, Germany More articles by this author Monika Jung Berlin, Germany More articles by this author Carsten Stephan Berlin, Germany More articles by this author Jonas Busch Berlin, Germany More articles by this author Andreas Erbersdobler Rostock, Germany More articles by this author George Yousef Toronto, Canada More articles by this author Klaus Jung Berlin, Germany More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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 score0.067
Threshold uncertainty score0.227

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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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