Evidence map›Paper›PMID 40500772›Full record

ArticleJournal of translational medicine2025

Metabolic reprogramming in hepatocellular carcinoma: an integrated omics study of lipid pathways and their diagnostic potential.

Peng Dai, Jing Feng, Yanyan Dong, Shujing Zhang, Jianghong Cao, Xiaopeng Cui, Xueliang Qin, Shiming Yang, Daguang Fan

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Peng DaiDepartment of Hepato-Pancreatic-Biliary Surgery, Shanxi Provincial People's Hospital, Taiyuan, 030000, China.
Jing FengDepartment of Gastroenterology, Shanxi Provincial People's Hospital, Taiyuan, 030000, China.
Yanyan DongDepartment of Pathology, Shanxi Provincial People's Hospital, Taiyuan, 030000, China.
Shujing ZhangDepartment of Digestive Endoscopy, Shanxi Provincial People's Hospital, Taiyuan, 030000, China.
Jianghong CaoDepartment of Medical Intensive Care Unit, Shanxi Provincial People's Hospital, Taiyuan, 030000, China.
Xiaopeng CuiDepartment of Hepato-Pancreatic-Biliary Surgery, Shanxi Provincial People's Hospital, Taiyuan, 030000, China.
Xueliang QinDepartment of Hepato-Pancreatic-Biliary Surgery, Shanxi Provincial People's Hospital, Taiyuan, 030000, China.
Shiming YangDepartment of Hepato-Pancreatic-Biliary Surgery, Shanxi Provincial People's Hospital, Taiyuan, 030000, China.
Daguang FanDepartment of Hepato-Pancreatic-Biliary Surgery, Shanxi Provincial People's Hospital, Taiyuan, 030000, China. zb16132fdg@163.com.

Funding

Shanxi Scholarship Council of China No. 20201810
6 · The paper itself

Abstract

Metabolic reprogramming is an important cancer hallmark. Recent studies have indicated that lipid metabolic reprogramming play a potential role in the development of hepatocellular carcinoma (HCC). However, the underlying mechanisms remain incompletely understood. In this study, we employed an integrated multi-omics approach, combining transcriptomic, proteomic, and metabolomic analyses, to explore the lipid metabolism pathways in HCC and evaluate their diagnostic potential.We collected ten pairs of HCC tissues (HCT) and adjacent non-tumor tissues (ANT) from patients undergoing surgical resection. Transcriptomic analysis identified 4,023 differentially expressed genes (DEGs) between HCT and ANT, with significant enrichment in lipid metabolism-related pathways, including fatty acid degradation and steroid hormone biosynthesis. Proteomic analysis revealed 2,531 differentially expressed proteins (DEPs), further highlighting lipid metabolism as a critical driver of HCC development. Metabolomic profiling identified 88 differentially expressed metabolites (DEMs), with notable alterations in lipid-related metabolites. Integrated analysis of transcriptomic, proteomic, and metabolomic data identified six key genes (LCAT, PEMT, ACSL1, GPD1, ACSL4, and LPCAT1) involved in lipid metabolism, which exhibited significant changes at both mRNA and protein levels and correlated strongly with lipid-related metabolites in HCT. Additionally, nine lipid-related metabolites were identified as potential diagnostic biomarkers for HCC, with six metabolites demonstrating high discriminative ability (AUC > 0.8) between HCT and ANT.Our findings provide new insights into the molecular mechanisms of lipid metabolism reprogramming in HCC, emphasize the critical role of lipid metabolism in its pathogenesis. The identification of lipid-related metabolites as potential diagnostic biomarkers holds significant promise for early detection and improved clinical management of HCC. The integrated multi-omics approach as a powerful tool for identifying novel biomarkers and therapeutic targets.

Indexed as

Carcinoma, HepatocellularLipid MetabolismLiver NeoplasmsMetabolomicsProteomicsBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMetabolic Networks and PathwaysMetabolic ReprogrammingMiddle AgedTranscriptomeBiomarkers, TumorDiagnostic biomarkersHepatocellular carcinoma (HCC)Lipid metabolismMetabolic reprogrammingMulti-omics analysis

Identifiers

PMID40500772
PMCPMC12153152

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.