Evidence map›Paper›PMID 41613805›Full record

ArticleOncology research2026

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

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

Abstract read
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Article in Oncology research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhilong HeDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Jing QinDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Sixuan WuDepartment of Oncology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China.
Xian LiangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Yu LiuDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Jinfeng QiuDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Zhimin LiDepartment of Oncology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China.
Kai HuDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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.

methodsRNA 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).

resultsA 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.

conclusionThe nine-lncRNA signature exhibits robust predictive power for HCC prognosis and provides novel insights into the mechanisms of lncRNA-regulated palmitoylation in HCC development.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLipoylationLiver NeoplasmsRNA, Long NoncodingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorRNA, Long Noncodinghepatocellular carcinomalong non-coding RNAsPalmitoylationprognosis

Identifiers

PMID41613805
PMCPMC12848728

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.