Evidence map›Paper›PMID 41699363›Full record

ArticleHepatology international2026

Multi-omics analysis of the lactylation-driven microenvironment and non-invasive clinical translation in hepatocellular carcinoma.

Xiangyu Gan, Ruizhi Gao, Dongming Xie, Xiumei Bai, Rong Wen, Mingzhao Jiang, Qinxin Li, Qiao Que, Jinbo Peng, Yuquan Wu and 3 more

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Article in Hepatology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing 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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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Xiangyu Gan *Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Ruizhi Gao *Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Dongming Xie *Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Xiumei BaiDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Rong WenDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Mingzhao JiangDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Qinxin LiDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Qiao QueDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Jinbo PengDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Yuquan WuDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Yun HeDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Jinshu PangDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China. yyy199x@163.com.
Hong YangDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China. yanghong@gxmu.edu.cn.

Funding

China Postdoctoral Science Foundation 2023MD744191Innovation Project of Guangxi Graduate Education YCSW2024238Joint Project on Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation 2024GXNSFBA999019National Natural Science Foundation of China 82160336National Natural Science Foundation of China 82160350
6 · The paper itself

Abstract

backgroundThrough integrated multi-omics strategy, this study aims to investigate the clinical value of a prognostic model derived from lysine lactylation (KLa) in hepatocellular carcinoma (HCC), thereby promoting its clinical translation.

methodsThe key features for constructing lactylation-associated risk model were identified across the levels of KLa, protein and transcriptomic by integrating local cohort and public HCC cohorts. Immunohistochemistry and western blotting were performed to confirm the consistency between lactylation-associated risk and KLa modification level. Clinical and biological significance of lactylation-associated risk stratification was further characterized leveraging local cohort with public HCC cohort and single-cell sequencing. Finally, we explored the potential of ultrasound-based radiomics for non-invasive prediction of lactylation-associated risk.

resultsLactylation-associated risk model effectively stratified HCC patients based on recurrence-free survival and identified individuals with early postoperative recurrence. High-risk patients demonstrated elevated KLa modification level and clinical characteristics indicative of poor prognosis: microvascular invasion, tumor thrombus, high Ki-67, advanced TNM and BCLC stages. At single-cell resolution, the predominantly immunosuppressive tumor immune microenvironment and KLa-driven proliferative tumor phenotype in high-risk patients elucidate the underlying biological mechanisms of HCC progression. The integration of ultrasound-based radiomics and clinical features demonstrated superior potential for lactylation-associated risk non-invasive prediction compared to single clinical model.

conclusionLactylation-associated risk model not only provides an effective assessment of recurrence risk in HCC patients but also mirrors the intratumoral KLa modification level, holding significant clinical and tumor biological relevance. Furthermore, the joint model integrating ultrasound-based radiomics and clinical features demonstrates potential for non-invasive prediction of lactylation-associated risk.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsLysineMultiomicsPredictive Learning ModelsTumor MicroenvironmentClinical RelevanceDatasets as TopicHumansLactic AcidNeoplasm Recurrence, LocalPrognosisProportional Hazards ModelsRetrospective StudiesRisk AssessmentSingle-Cell Gene Expression AnalysisLactic AcidLysineHepatocellular carcinomaLysine lactylationPrognosisTumor microenvironmentUltrasound-based radiomics

Identifiers

PMID41699363

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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.