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Record W4387458056 · doi:10.1016/j.celrep.2023.113221

MYC is a regulator of androgen receptor inhibition-induced metabolic requirements in prostate cancer

2023· article· en· W4387458056 on OpenAlexaff
Preston D. Crowell, Jenna M. Giafaglione, Anthony E. Jones, Nicholas M. Nunley, Takao Hashimoto, Amelie M.L. Delcourt, Anton Petcherski, Raag Agrawal, Matthew J. Bernard, Johnny A. Diaz, Rong Huang, Jin‐Yih Low, Nedas Matulionis, Nora M. Navone, Huihui Ye, Amina Zoubeidi, Heather R. Christofk, Matthew B. Rettig, Robert E. Reiter, Michael C. Haffner, Paul C. Boutros, Orian S. Shirihai, Ajit S. Divakaruni, Andrew S. Goldstein

Bibliographic record

VenueCell Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British Columbia
FundersDOD Prostate Cancer Research ProgramClinical and Translational Science Institute, University of California, Los AngelesNational Cancer InstituteCommon FundUniversity of California, Los AngelesNational Institutes of HealthNational Center for Advancing Translational SciencesAmerican Cancer SocietyDoris Duke Charitable FoundationStop CancerNational Institute of General Medical SciencesJonsson Comprehensive Cancer CenterIsrael National Road Safety AuthorityNational Institute of Diabetes and Digestive and Kidney DiseasesU.S. Department of Defense
KeywordsRegulatorProstate cancerAndrogen receptorMaster regulatorProstateAndrogenCancer researchCancerReceptorInternal medicineEndocrinologyBiologyMedicineTranscription factorGeneGeneticsHormone

Abstract

fetched live from OpenAlex

Advanced prostate cancers are treated with therapies targeting the androgen receptor (AR) signaling pathway. While many tumors initially respond to AR inhibition, nearly all develop resistance. It is critical to understand how prostate tumor cells respond to AR inhibition in order to exploit therapy-induced phenotypes prior to the outgrowth of treatment-resistant disease. Here, we comprehensively characterize the effects of AR blockade on prostate cancer metabolism using transcriptomics, metabolomics, and bioenergetics approaches. The metabolic response to AR inhibition is defined by reduced glycolysis, robust elongation of mitochondria, and increased reliance on mitochondrial oxidative metabolism. We establish DRP1 activity and MYC signaling as mediators of AR-blockade-induced metabolic phenotypes. Rescuing DRP1 phosphorylation after AR inhibition restores mitochondrial fission, while rescuing MYC restores glycolytic activity and prevents sensitivity to complex I inhibition. Our study provides insight into the regulation of treatment-induced metabolic phenotypes and vulnerabilities in prostate cancer.

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 score0.290
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.043
GPT teacher head0.337
Teacher spread0.294 · 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

Citations33
Published2023
Admission routes1
Has abstractyes

Explore more

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