ArticleCancer cell international2025
Palmitoylation regulators drive the progression of clear cell renal cell carcinoma through Inhibition of cuproptosis: insights into the role of ZDHHC18.
Article in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Exploring regulated cell death in renal cell carcinoma: mechanistic insights and therapeutic perspectives.Apoptosis : an international journal on programmed cell death · 2026Review
- Protein Palmitoylation as a Molecular Switch Linking Regulated Cell Death and Disease.Biomolecules · 2026Review
- Exploring the functional role of palmitoylation genes in clear cell renal cell carcinoma and their impact on tumor microenvironment.BMC genomic data · 2026Article
- From lipid modification to cell death: the diverse roles of S-palmitoylation in cell fate decisions.Cell communication and signaling : CCS · 2026Review
- Multifunctional nanoplatforms deciphering immune resistance in bone tumors: cooperative delivery, immune reprogramming and microenvironment remodeling.Journal of nanobiotechnology · 2026Review
- Multi-omics analysis suggests ZDHHC18 as a potential risk factor for clear cell renal cell carcinoma linked to myeloid DC morphology.Discover oncology · 2026Article
- ZDHHC-Mediated Protein S-Palmitoylation in Cancer: Epigenetic Interfaces, Structural Logic and Therapeutic Targeting.International journal of medical sciences · 2026Review
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Abstract
backgroundProtein palmitoylation is a reversible post-translational modification that increases protein hydrophobicity, which can affect protein localization, stability, and function. Although palmitoylation is frequently observed in various cancers, the specific mechanisms by which it influences clear cell renal cell carcinoma (ccRCC) are still not well understood.
methodsThis study used transcriptome expression profiles and clinical characteristics of clear cell renal cell carcinoma (ccRCC) obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Kaplan-Meier (KM) survival analysis was performed to evaluate patient survival. Consensus clustering was applied to identify tumor palmitoylation patterns. A total of 101 different machine learning methods were used to develop predictive models. Functional enrichment analyses were conducted using Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and Gene Set Variation Analysis (GSVA).
resultsOf the 34 prognosis-related palmitoylation-related genes (PRGs), 29 were used to cluster patients in the TCGA-KIRC cohort, leading to the identification of four palmitoylation clusters. We developed a risk model and a nomogram based on palmitoylation scores to enhance risk classification. Functional analysis indicated that high-risk patients exhibited disrupted fatty acid metabolism. Correlation analysis identified ZDHHC18 as a potential hub gene associated with impaired fatty acid metabolism and cuproptosis. Finally, we validated the role of ZDHHC18 in ccRCC proliferation through in vitro experiments.
conclusionOur research demonstrated that PRGs play a crucial role in the development of clear cell renal cell carcinoma (ccRCC). A nomogram based on palmitoylation scores may accurately predict the prognosis of ccRCC patients. Furthermore, the palmitoylation regulator ZDHHC18 affects cuproptosis in ccRCC, which in turn impacts patient survival.
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