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Record W4413743392 · doi:10.1002/1878-0261.70038

Expression and <scp>DNA</scp> methylation of <scp>20</scp> S proteasome subunits as prognostic and resistance markers in cancer

2025· article· en· W4413743392 on OpenAlexfundno aff
Ruba Al‐Abdulla, Simone Venz, Ruslan Al‐Ali, Martin Wendlandt, Mandy Radefeldt, Elke Krüger

Bibliographic record

VenueMolecular Oncology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
FundersInstitute of GeneticsUniversität Greifswald
KeywordsDNA methylationMethylationProteasomeBiologyDNAMolecular biologyChemistryGeneticsGene expressionGene

Abstract

fetched live from OpenAlex

Proteasomes are involved in the maintenance of cellular protein homeostasis and the control of numerous cellular pathways. Single proteasome genes or subunits have been identified as important players in cancer development and progression without considering the proteasome as a multisubunit protease. We here conducted a comprehensive pan-cancer analysis encompassing transcriptional, epigenetic, mutational landscapes, pathway enrichments, and survival outcomes linked to the 20S proteasome core complex. The impact of proteasome gene expression on patient survival exhibited a cancer type-dependent pattern. Increased proteasome expression correlated with elevated activation of oncogenic pathways, such as DNA repair, MYC-controlled gene networks, MTORC1 signalling, oxidative phosphorylation, as well as metabolic pathways including glycolysis and fatty acid metabolism. Accordingly, potential loss of function variants of proteasome subunit genes are associated with improved patient survival. The TCGA-derived outcomes were further supported by gene expression analysis of THP-1 cells. Our study highlighted the importance of studying the proteasome as an enzymatic functional unit rather than separated subunits.

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)0.001
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 score0.049
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.011
GPT teacher head0.278
Teacher spread0.268 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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