# Development and Assessment of a Novel Palmitoylation-Related lncRNA Signature for Prognosis and Immune Landscape in Hepatocellular Carcinoma

**Authors:** Zhilong He, Jing Qin, Sixuan Wu, Xian Liang, Yu Liu, Jinfeng Qiu, Zhimin Li, Kai Hu

PMC · DOI: 10.32604/or.2025.070567 · Oncology Research · 2026-01-19

## TL;DR

This study identifies a new set of nine lncRNAs linked to palmitoylation that predict survival and immune response in liver cancer patients.

## Contribution

A novel palmitoylation-related lncRNA signature is developed for HCC prognosis and immune landscape analysis.

## Key findings

- A nine-lncRNA model stratifies HCC patients into high- and low-risk groups with distinct survival outcomes.
- High-risk patients show an immunosuppressive tumor environment and higher tumor mutation burden.
- All nine lncRNAs are significantly upregulated in HCC tissues, validated by RT-qPCR.

## Abstract

Objective: The contribution of long non-coding RNAs (lncRNAs) associated with protein palmitoylation to the progression of hepatocellular carcinoma (HCC) remains largely unclear. This study sought to establish a prognostic signature based on palmitoylation-related lncRNAs and explore their functional implications in HCC. Methods: RNA sequencing and clinical data for HCC and normal tissues were sourced from the Cancer Genome Atlas (TCGA). Pearson correlation analysis was used to identify lncRNAs that were co-expressed with palmitoylation-related genes. Univariate Cox regression was applied to select lncRNAs with prognostic value, followed by the construction of a predictive model using the least absolute shrinkage and selection operator (LASSO) regression. A focused analysis was performed on one key lncRNA, AC009403.1. Expression levels of the final nine lncRNAs included in the model were further validated by reverse transcription quantitative polymerase chain reaction (RT-qPCR). Results: A prognostic model for HCC was developed using nine palmitoylation-associated lncRNAs: AC009403.1, AC010789.1, AC026402.2, AC107021.2, AC135050.6, AL353572.4, MKLN1-AS, PRRT3-AS1, and ZNF582-AS1. This model effectively stratified patients into high- and low-risk groups exhibiting significantly different overall survival (OS) and progression-free survival (PFS), with the low-risk group showing more favorable outcomes. The high-risk group was associated with an immunosuppressive microenvironment, higher tumor mutation burden (TMB), and increased sensitivity to certain chemotherapeutic drugs (e.g., Sorafenib). Finally, RT-qPCR validation revealed that all nine lncRNAs were significantly upregulated in HCC tissues. Conclusion: The nine-lncRNA signature exhibits robust predictive power for HCC prognosis and provides novel insights into the mechanisms of lncRNA-regulated palmitoylation in HCC development.

## Linked entities

- **Genes:** MKLN1-AS (MKLN1 antisense RNA) [NCBI Gene 100506881], PRRT3-AS1 (PRRT3 antisense RNA 1) [NCBI Gene 100874032], ZNF582-DT (ZNF582 divergent transcript) [NCBI Gene 386758]
- **Chemicals:** Sorafenib (PubChem CID 216239)
- **Diseases:** hepatocellular carcinoma (MONDO:0007256), HCC (MONDO:0007256)

## Full-text entities

- **Genes:** PRRT3 (proline rich transmembrane protein 3) [NCBI Gene 285368], MKLN1 (muskelin 1) [NCBI Gene 4289] {aka TWA2}, ZNF582-DT (ZNF582 divergent transcript) [NCBI Gene 386758] {aka ZNF582-AS1}
- **Diseases:** Cancer (MESH:D009369), HCC (MESH:D006528)
- **Chemicals:** Sorafenib (MESH:D000077157)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12848728/full.md

## References

52 references — full list in the complete paper: https://tomesphere.com/paper/PMC12848728/full.md

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Source: https://tomesphere.com/paper/PMC12848728