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Record W2166437348 · doi:10.18632/oncotarget.2809

Identification of DEK as a potential therapeutic target for neuroendocrine prostate cancer

2014· article· en· W2166437348 on OpenAlex
Dong Lin, Xin Dong, Kendric Wang, Alexander W. Wyatt, Francesco Crea, Hui Xue, Yuwei Wang, Rebecca Wu, Robert H. Bell, Anne Haegert, Sonal Brahmbhatt, Antonio Hurtado‐Coll, Peter W. Gout, Ladan Fazli, Martin Gleave, Colin C. Collins, Yuzhuo Wang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOncotarget · 2014
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsBC Cancer AgencyUniversity of British Columbia
FundersCanadian Institutes of Health ResearchProstate Cancer CanadaBC Cancer FoundationProstate Cancer Foundation
KeywordsProstate cancerMedicineCancerBiomarkerOncologyCancer researchInternal medicineBiology

Abstract

fetched live from OpenAlex

// Dong Lin 1 , Xin Dong 2 , Kendric Wang 1 , Alexander W. Wyatt 1 , Francesco Crea 1, 2 , Hui Xue 2 , Yuwei Wang 2 , Rebecca Wu 2 , Robert H. Bell 1 , Anne Haegert 1 , Sonal Brahmbhatt 1 , Antonio Hurtado-Coll 1 , Peter W. Gout 2 , Ladan Fazli 1 , Martin E. Gleave 1 , Colin C. Collins 1 , Yuzhuo Wang 1, 2 1 Vancouver Prostate Centre & Department of Urologic Sciences, University of British Columbia, Vancouver, BC V6H 3Z6, Canada 2 Department of Experimental Therapeutics, BC Cancer Agency, Vancouver, BC V5Z 1L3, Canada Correspondence to: Yuzhuo Wang, e-mail: ywang@bccrc.ca Keywords: neuroendocrine prostate cancer, patient-derived xenograft model, DEK, biomarker Received: September 11, 2014      Accepted: November 24, 2014      Published: December 11, 2014 ABSTRACT Neuroendocrine prostate cancer (NEPC) is an aggressive subtype of prostate cancer which does not respond to hormone therapy. Research of NEPC has been hampered by a lack of clinically relevant in vivo models. Recently, we developed a first-in-field patient tissue-derived xenograft model of complete neuroendocrine transdifferentiation of prostate adenocarcinoma. By comparing gene expression profiles of a transplantable adenocarcinoma line (LTL331) and its NEPC subline (LTL331R), we identified DEK as a potential biomarker and therapeutic target for NEPC. In the present study, elevated DEK protein expression was observed in all NEPC xenograft models and clinical NEPC cases, as opposed to their benign counterparts (0%), hormonal naïve prostate cancer (2.45%) and castration-resistant prostate cancer (29.55%). Elevated DEK expression was found to be an independent clinical risk factor, associated with shorter disease-free survival of hormonal naïve prostate cancer patients. DEK silencing in PC-3 cells led to a marked reduction in cell proliferation, cell migration and invasion. The results suggest that DEK plays an important role in the progression of prostate cancer, especially to NEPC, and provides a potential biomarker to aid risk stratification of prostate cancer and a novel target for therapy of NEPC.

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.

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 score0.173
Threshold uncertainty score0.395

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 head0.017
GPT teacher head0.340
Teacher spread0.323 · 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