Menu
Peptide Database
Results
No peptides found
Featured

Use search to browse all 100+ peptides

Palmitoyl-dipeptide-6

Palmitoyl Dipeptide-6 Diaminohydroxybutyrate, Pal-Lys-Val-Dab

Quick Stats
Studies 98
Trials 0
Score 1
2025 pubmed

Integrated Genomic and Functional Characterization of Palmitoylation in Clear Cell Renal Cell Carcinoma.

Zhang. Dong D; Zhang. Ke K; Deng. Minghao M; Ma. Jiakang J; Zhu. Jian J; Shen. Shuijie S; Xie. Jianjun J; Chen. Chao C

Key Findings

  • A palmitoylation‑related gene signature can split kidney cancer patients into high‑risk and low‑risk groups with different survival rates.
  • High‑risk tumors show more mutations and DNA copy‑number changes, while low‑risk tumors may respond better to immunotherapy.
  • The enzyme ZDHHC18 is over‑expressed in tumors, and reducing its levels in cancer cells cuts their proliferation, migration, and invasion.

Practical Outcomes

  • For biohackers, this study doesn’t provide a direct supplement or protocol to try. It suggests that targeting palmitoylation pathways, such as inhibiting ZDHHC18, could become a future therapeutic strategy, but no actionable steps are available today.

Summary

Scientists looked at a chemical change called palmitoylation in kidney cancer cells and built a model that can tell which patients might do better or worse. They found that a gene called ZDHHC18, which helps add palmitoyl groups to proteins, is higher in tumors and that turning it off slows cancer cell growth and spread.

Abstract

Clear cell renal cell carcinoma (ccRCC) is a highly aggressive cancer with a poor prognosis. Palmitoylation, a posttranslational modification, plays a key role in regulating cancer progression and immune responses. However, its influence on ccRCC prognosis and immune therapy efficacy remains underexplored. Multiple publicly available ccRCC datasets were integrated and harmonized through batch effect correction. A prognostic model based on palmitoylation-related genes was constructed using a combination of 101 machine learning algorithms. Single-cell RNA sequencing was employed to analyze cellular heterogeneity within the tumor microenvironment. Genomic profiling, including tumor mutational burden (TMB), copy number variation (CNV), and tumor stemness, was conducted to identify genomic differences between the high- and low-risk groups. Immune infiltration levels were assessed using various algorithms to compare immune profiles across patient subgroups, while immune therapy responses were predicted using multiple prediction models. Experimental validation of ZDHHC18, a key gene in the prognostic model, was performed in ccRCC cell lines (786-O and Caki-1) to evaluate its impact on cell proliferation, migration, and invasion. The palmitoylation-related prognostic model effectively stratified ccRCC patients into the high- and low-risk groups, with distinct differences in survival outcomes. Genomic analysis demonstrated higher TMB and CNV alterations in the high-risk group. Immune response predictions indicated that low-risk patients were more likely to benefit from immunotherapy. Additionally, ZDHHC18 was significantly upregulated in ccRCC tumor tissues, and its knockdown notably inhibited cell proliferation, migration, and invasion. Palmitoylation-related genes, particularly ZDHHC18, serve as promising prognostic biomarkers and predictive indicators for immune therapy in ccRCC. These findings offer new insights into ccRCC biology and highlight potential therapeutic targets for improving patient outcomes.

Study Information

Provider

pubmed

Year

2025

Date

2025-11-29T00:00:00.000Z

DOI

10.1155/humu/4647115

References

27