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Record W4389306433 · doi:10.1038/s41556-023-01274-x

Prostate lineage-specific metabolism governs luminal differentiation and response to antiandrogen treatment

2023· article· en· W4389306433 on OpenAlexaff
Jenna M. Giafaglione, Preston D. Crowell, Amelie M.L. Delcourt, Takao Hashimoto, Sung Min Ha, Aishwarya Atmakuri, Nicholas M. Nunley, Rachel M. A. Dang, Mao Tian, Johnny A. Diaz, Elisavet Tika, Marie C. Payne, Deborah L. Burkhart, Dapei Li, Nora M. Navone, Eva Corey, Peter S. Nelson, Neil Y. C. Lin, Cédric Blanpain, Leigh Ellis, Paul C. Boutros, Andrew S. Goldstein

Bibliographic record

VenueNature Cell Biology · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsVector InstituteUniversity of Toronto
FundersDOD Prostate Cancer Research ProgramClinical and Translational Science Institute, University of California, Los AngelesJonsson Comprehensive Cancer CenterNational Center for Advancing Translational SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of General Medical SciencesStop CancerCancer Research Coordinating CommitteeFonds Wetenschappelijk OnderzoekNational Cancer InstituteEli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California Los AngelesFonds pour la Formation à la Recherche dans l’Industrie et dans l’AgricultureU.S. Department of Health and Human ServicesNational Institutes of HealthProstate Cancer FoundationFonds De La Recherche Scientifique - FNRSU.S. Department of Defense
KeywordsProstateBiologyLineage (genetic)Prostate cancerCell biologyChromatinEpigeneticsTranscription factorCancer researchEndocrinologyBiochemistryGeneGeneticsCancer

Abstract

fetched live from OpenAlex

Lineage transitions are a central feature of prostate development, tumourigenesis and treatment resistance. While epigenetic changes are well known to drive prostate lineage transitions, it remains unclear how upstream metabolic signalling contributes to the regulation of prostate epithelial identity. To fill this gap, we developed an approach to perform metabolomics on primary prostate epithelial cells. Using this approach, we discovered that the basal and luminal cells of the prostate exhibit distinct metabolomes and nutrient utilization patterns. Furthermore, basal-to-luminal differentiation is accompanied by increased pyruvate oxidation. We establish the mitochondrial pyruvate carrier and subsequent lactate accumulation as regulators of prostate luminal identity. Inhibition of the mitochondrial pyruvate carrier or supplementation with exogenous lactate results in large-scale chromatin remodelling, influencing both lineage-specific transcription factors and response to antiandrogen treatment. These results establish reciprocal regulation of metabolism and prostate epithelial lineage identity.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.464

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 head0.315
Teacher spread0.298 · 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

Citations36
Published2023
Admission routes1
Has abstractyes

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