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Record W4280566607 · doi:10.1038/s41467-022-30257-z

MYC drives aggressive prostate cancer by disrupting transcriptional pause release at androgen receptor targets

2022· article· en· W4280566607 on OpenAlex
Xintao Qiu, Nadia Boufaied, Tarek Hallal, Avery Feit, Anna de Polo, Adrienne Luoma, Walaa Alahmadi, Janie Larocque, Giorgia Zadra, Yingtian Xie, Shengqing Gu, Qin Tang, Yi Zhang, Sudeepa Syamala, Ji-Heui Seo, Connor Bell, Edward O’Connor, Yang Liu, Edward M. Schaeffer, R. Jeffrey Karnes, Sheila Weinmann, Elai Davicioni, Colm Morrissey, Paloma Cejas, Leigh Ellis, Massimo Loda, Kai W. Wucherpfennig, Mark M. Pomerantz, Daniel E. Spratt, Eva Corey, Matthew L. Freedman, X. Shirley Liu, Myles Brown, Henry W. Long, David P. Labbé

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.

Bibliographic record

VenueNature Communications · 2022
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersNational Institute of General Medical SciencesInstitute for Prostate Cancer ResearchCanadian Institutes of Health ResearchMcGill University Health CentreCancer Research SocietyLucas FoundationNational Cancer InstituteNational Institutes of HealthProstate Cancer FoundationMcGill UniversityU.S. Department of Defense
KeywordsProstate cancerAndrogen receptorCancer researchCarcinogenesisTranscriptomeBiologyEnhancerTranscriptional regulationProstateTumor progressionCancerGeneGene expressionGenetics

Abstract

fetched live from OpenAlex

c-MYC (MYC) is a major driver of prostate cancer tumorigenesis and progression. Although MYC is overexpressed in both early and metastatic disease and associated with poor survival, its impact on prostate transcriptional reprogramming remains elusive. We demonstrate that MYC overexpression significantly diminishes the androgen receptor (AR) transcriptional program (the set of genes directly targeted by the AR protein) in luminal prostate cells without altering AR expression. Analyses of clinical specimens reveal that concurrent low AR and high MYC transcriptional programs accelerate prostate cancer progression toward a metastatic, castration-resistant disease. Data integration of single-cell transcriptomics together with ChIP-seq uncover an increase in RNA polymerase II (Pol II) promoter-proximal pausing at AR-dependent genes following MYC overexpression without an accompanying deactivation of AR-bound enhancers. Altogether, our findings suggest that MYC overexpression antagonizes the canonical AR transcriptional program and contributes to prostate tumor initiation and progression by disrupting transcriptional pause release at AR-regulated genes.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.343
Teacher spread0.321 · 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