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Record W4413099743 · doi:10.1002/advs.202505702

ZDHHC12 Palmitoylates HDAC8 to Promote the Progression of Hepatocellular Carcinoma Associated with a Diet High in Saturated Fatty Acids

2025· article· en· W4413099743 on OpenAlexaff
Xin Jin, Yulong Hong, Yongqi Zhao, Wensheng Shi, Ruilin Liu, Xinyu You, Chong Yang, Yu Zhang

Bibliographic record

VenueAdvanced Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsMinistry of Education and Child Care
FundersNational Natural Science Foundation of China
KeywordsHepatocellular carcinomaPalmitoylationCancer researchChemistryTranscription factorHistoneBiochemistryInternal medicineBiologyEndocrinologyCysteineMedicineGeneEnzyme

Abstract

fetched live from OpenAlex

Excessive intake of saturated fatty acids (SFAs)-commonly associated with diets rich in fried foods and red meat-significantly increases the risk of hepatocellular carcinoma (HCC). Palmitic acid (PA), the most prevalent type of SFA, is selected as the representative model for this study. Palmitoyltransferases play crucial roles in protein palmitoylation mediated by PA; however, the most significantly altered palmitoyltransferase under high-SFA dietary conditions remains unidentified. This study reveals zinc finger DHHC-type palmitoyltransferase 12 (ZDHHC12) as a key protein in PA-driven HCC progression that functions by stabilizing the oncogenic histone deacetylase 8 (HDAC8). Mechanistically, PA supplementation upregulates ZDHHC12 expression by activating the transcription factor SWI/SNF-related BAF chromatin remodeling complex subunit ATPase 4 (SMARCA4). ZDHHC12 mediates HDAC8 palmitoylation at cysteine 244, thereby inhibiting its lysosomal degradation and ultimately promoting HCC progression. This study reveals that ZDHHC12 is a critical mediator of PA-induced HCC progression and that targeting HDAC8 can suppress this process. These findings offer a potential therapeutic strategy for HCC patients with high dietary intake of SFAs, particularly PA.

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 score0.202
Threshold uncertainty score0.336

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 head0.006
GPT teacher head0.256
Teacher spread0.250 · 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

Citations6
Published2025
Admission routes1
Has abstractyes

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