Evidence map›Paper›PMID 40741410›Full record

ArticleFrontiers in genetics2025

Characterization of lactylation modification subtypes and the promoting role of CCL20 in hepatocellular carcinoma progression.

Li-Hong Wu, Liu Yang, Xiang-Xu Wang, Shuang Bai, Xi Yan, Jing Wei, Jun Wang, Fei Tian

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Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Li-Hong Wu *Department of Gastroenterology, Xijing 986 Hospital, Fourth Military Medical University, Xi'an, China.
Liu Yang *Department of Gastroenterology, Xijing 986 Hospital, Fourth Military Medical University, Xi'an, China.
Xiang-Xu Wang *Department of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Shuang BaiDepartment of Oncology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China.
Xi YanDepartment of Gastroenterology, Xijing 986 Hospital, Fourth Military Medical University, Xi'an, China.
Jing WeiDepartment of Gastroenterology, Xijing 986 Hospital, Fourth Military Medical University, Xi'an, China.
Jun WangDepartment of Gastroenterology, Xijing 986 Hospital, Fourth Military Medical University, Xi'an, China.
Fei TianDepartment of Clinical Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatocellular carcinoma (HCC) is a highly aggressive and deadly malignancy. Early identification of prognostic risk factors is crucial for guiding clinical management and improving patient outcomes. Lactylation modification plays a pivotal role in tumorigenesis, yet the regulatory mechanisms and prognostic significance of lactylation-related genes in HCC remain insufficiently understood. Methods: This study screened for prognostically significant lactylation modification-related genes based on their expression levels, integrated with DFS, PFS, and OS data. HCC patients were stratified into three distinct lactylation modification subtypes (C1, C2, C3) using the NMF algorithm. Differentially expressed genes across the three subtypes were identified through an intersection analysis. A lactylation modification-related prognostic model was subsequently constructed using LASSO-Cox and multivariate Cox regression analyses. The CIBERSORT algorithm was utilized to analyze immune cell infiltration. Functional validation of the lactylation-related gene CCL20 in HCC was conducted through Results: We identified three distinct lactylation modification patterns, with higher lactylation modification levels correlating with worse prognosis in HCC. A six-gene lactylation modification-based prognostic model (LRPS), including FAM83D, ENO1, PFN2, LCAT, PTGR1, and CCL20, was constructed and validated. Overall survival was markedly reduced in the high LRPS group relative to the low LRPS group. The high LRPS group also showed a significantly higher frequency of TP53 mutations. Correlation analysis of immune cell infiltration revealed a significant association between LRPS and the infiltration abundance of M0 macrophages, Tregs, and neutrophils, suggesting that lactylation modification may influence the tumor immune microenvironment. Overexpression of CCL20 in HCC cells significantly enhanced their proliferative and migratory capacities, indicating a key role for CCL20 in HCC progression. Conclusion: This study established a lactylation modification-based prognostic model that accurately forecasts outcomes in HCC patients. This risk score showed a significant correlation with glucose metabolism and reflected immune cell infiltration patterns. The core model gene, CCL20, promotes HCC cell proliferation and migration, supporting its potential as a valuable prognostic biomarker and a therapeutic target for HCC.

Indexed as

CCL20hepatocellular carcinomalactylation modificationprognostic modeltumor microenvironment

Identifiers

PMID40741410
PMCPMC12307209

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