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Abstract 1853: Association of IDH genes with prostate cancer progression and their regulation by the androgen receptor

2019· article· en· W4249628793 on OpenAlexaff
Kevin Gonthier, Raghavendra TK Poluri, Cindy Weidmann, Étienne Audet‐Walsh

Bibliographic record

VenueMolecular and Cellular Biology / Genetics · 2019
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsIDH1Androgen receptorProstate cancerBiologyCancer researchIsocitrate dehydrogenaseCancerReprogrammingIDH2CellGeneGeneticsMutationEnzymeBiochemistry

Abstract

fetched live from OpenAlex

A primary function of the prostate is to synthesize and secrete high levels of citrate by way of a unique metabolic profile regulated by the androgen receptor (AR). Prostate cancer (PCa) is an androgen-dependent disease that is characterized by early reprogramming of citrate metabolism. Accordingly, mutations of the isocitrate dehydrogenase genes IDH1 and IDH2, which are key enzymes involved in the regulation of cellular citrate levels, have been demonstrated as important oncogenic events in several cancer types, including in about 3% of all PCa cases. However, if IDH1 and other IDH isoforms are associated with PCa progression as well as the regulatory factors controlling their expression remain mostly unknown. Across the human cancer spectrum, PCa appears to be the cancer type with the highest expression of IDH1, with levels even higher than common cancers associated with IDH1 mutations such as gliomas. Using publicly available datasets and quantitative PCR, we showed that IDH1 is the predominant IDH isoform expressed in PCa cells. In PCa, the androgen receptor was found to regulate several IDH isoforms in both in vitro and in vivo models of PCa, predominantly positively regulating IDH1. Chromatin immunoprecipitation experiments confirmed the recruitment of AR at several regulatory regions of IDH1 and IDH2. IDH1 and other IDH isoforms were shown to be significantly altered during PCa progression, which is consistent with a reprogramming of citrate metabolism in PCa. In addition, modulation of IDH expression significantly altered PCa cell proliferation and metabolism. Overall, our study indicates that IDH gene regulation is associated with PCa progression and that AR plays a significant role in the regulation of IDH genes.Citation Format: Kevin Gonthier, Raghavendra TK Poluri, Cindy Weidmann, Etienne Audet-Walsh. Association of IDH genes with prostate cancer progression and their regulation by the androgen receptor [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1853.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.007
GPT teacher head0.262
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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