zDHHC-mediated palmitoylation modification patterns and tumor immune microenvironment infiltration characterization in pancreatic cancer.
Lu. Cong C; He. Ying Y; Zhang. Le-Qing LQ; Miao. Jing-Yi JY; Wang. Wei W
Key Findings
- Two distinct molecular subtypes of pancreatic cancer based on zDHHC enzyme expression were identified, with different survival rates.
- High zDHHC activity is linked to fewer CD8+ T cells and more immunosuppressive immune cells in the tumor environment.
- A 7‑gene prognostic signature (PRGS) predicts patient prognosis and correlates with mutation burden and metabolic pathways.
Practical Outcomes
- For biohackers or self‑directed health optimizers, the study offers no direct protocols, dosage guidance, or actionable interventions. It is primarily a cancer‑research finding that does not translate into everyday health or longevity practices.
Summary
Researchers looked at a group of enzymes (zDHHC) that add a fatty tag called palmitoylation to proteins in pancreatic cancer. They found two patterns of enzyme activity that relate to how aggressive the tumor is and how many immune cells are present. They also created a 7‑gene score that can predict patient outcomes, but the work is purely computational and focused on cancer biology.
Abstract
Protein palmitoylation, catalyzed by the zDHHC family of palmitoyltransferases, has emerged as a critical post-translational modification implicated in tumor progression. However, the comprehensive role of zDHHCs-mediated palmitoylation in molecular subtyping, prognosis, and immune microenvironment modulation in pancreatic cancer (PC) remains unclear. We systematically integrated multi-cohort transcriptome, single-cell RNA-seq, and somatic mutation data for PC. Bioinformatic analyses included molecular subtyping based on zDHHCs expression, differential gene expression, functional enrichment, CIBERSORTx-based immune infiltration analysis, single-cell trajectory inference, cell-cell communication networks, and construction/validation of a palmitoylation-related gene signature (PRGS) prognostic model. Two robust molecular subtypes based on zDHHCs expression were identified, displaying significant differences in patient prognosis and immune infiltration. High zDHHCs activity was associated with immunosuppressive features, including decreased CD8+ T cell infiltration and enrichment of macrophages/eosinophils. Single-cell analyses revealed dynamic upregulation of zDHHCs genes during epithelial differentiation, especially in metastatic lesions, with trajectory and enrichment analyses implicating palmitoylation in proliferation, cell cycle, and chromatin remodeling. Cell-cell communication networks uncovered zDHHCs-dependent remodeling of SPP1-CD44 and MHC-II pathways, linked to immune suppression. A 7-gene PRGS (DCBLD2, CXCL5, ASPH, LAMC2, KRT6A, TOP2A, NPNT) prognostic model demonstrated robust predictive accuracy across independent cohorts, correlating with tumor mutation burden, TP53/KRAS mutation frequency, and activation of proteasome, pyrimidine metabolism, and immune evasion pathways. zDHHCs-mediated palmitoylation and its regulatory gene network critically shape pancreatic cancer heterogeneity, immune microenvironment, and prognosis. The PRGS model provides a novel molecular tool for patient stratification and may inform the development of precision therapies targeting palmitoylation-driven pathways in PC.
Study Information
pubmed
2025
2025-11-18T00:00:00.000Z
10.1016/j.intimp.2025.115863
43