Evidence map›Paper›PMID 42196419›Full record

ArticleInternational journal of molecular sciences2026

Prognostic Genes Linked to Asparagine Metabolism in Hepatocellular Carcinoma: Identification, Validation, and Regulatory Mechanisms Based on Transcriptome and Single-Cell RNA Sequencing.

Jianting Feng, Kaihua Wei, Nana Li, Yinshi Li, Fei Du, Mengjiao Lv, Lifei Ma, Suwen Wang, Shuliang Niu, Liang Feng

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jianting FengSchool of Basic Medical Sciences, Xinjiang Second Medical College, Karamay 834000, China.ORCID 0009-0003-4716-3106
Kaihua WeiSchool of Medicine, Shihezi University, Shihezi 832003, China.
Nana LiSchool of Basic Medical Sciences, Xinjiang Second Medical College, Karamay 834000, China.
Yinshi LiSchool of Basic Medical Sciences, Xinjiang Second Medical College, Karamay 834000, China.
Fei DuSchool of Basic Medical Sciences, Xinjiang Second Medical College, Karamay 834000, China.
Mengjiao LvSchool of Basic Medical Sciences, Xinjiang Second Medical College, Karamay 834000, China.
Lifei MaSchool of Basic Medical Sciences, Xinjiang Second Medical College, Karamay 834000, China.
Suwen WangCollege of Life Sciences, Shihezi University, Shihezi 832003, China.
Shuliang NiuSchool of Basic Medical Sciences, Xinjiang Second Medical College, Karamay 834000, China.
Liang FengSchool of Basic Medical Sciences, Xinjiang Second Medical College, Karamay 834000, China.

Funding

Key Basic Medical Discipline Project at the School Level of Xinjiang Second Medical College XKZ202502
6 · The paper itself

Abstract

Metabolic reprogramming is closely linked to tumor proliferation, invasion, and immune escape. Despite its central role in amino acid metabolism, the regulatory mechanisms of asparagine metabolism in hepatocellular carcinoma (HCC) progression remain poorly characterized. Rather than focusing on canonical metabolic genes, prognostic markers were identified from co-expression modules associated with asparagine metabolism signatures. Using the TCGA database and asparagine metabolism-related gene sets, a prognostic risk-scoring model was developed through differential expression analysis, univariate Cox regression, and the LASSO algorithm and externally validated with the GEO dataset (GSE14620). Survival analysis, ROC curve evaluation, nomogram construction, scRNA-seq, GSEA, and drug sensitivity analysis were performed to systematically delineate the molecular mechanisms by which asparagine metabolism drives HCC progression. A three-gene signature comprising BOP1, SAC3D1, and PDE2A effectively stratified patients into high- and low-risk groups. High-risk patients exhibited markedly poorer overall survival, enrichment in tumor proliferation-associated pathways, increased tumor purity, reduced immune cell infiltration, and a substantially higher TP53 mutation rate (38% vs. 13%). In contrast, the low-risk group showed enrichment in pathways linked to hepatoblastoma suppression and liver function, alongside improved predicted response to immunotherapy. Single-cell analysis identified NK cells and endothelial cells as central mediators of asparagine metabolism-driven HCC progression, with BOP1, SAC3D1, and PDE2A displaying dynamic expression patterns during differentiation. Furthermore, the high-risk group was predicted to be more sensitive to chemotherapeutics such as cyclophosphamide and 5-fluorouracil. These findings highlight a potential interplay between nitrogen metabolism and asparagine metabolism in HCC and suggest mechanisms by which these pathways may influence NK cell and endothelial cell function to promote disease progression. This study establishes a novel prognostic model and identifies potential chemotherapeutic vulnerabilities in high-risk patients, warranting further experimental and clinical validation.

Indexed as

AsparagineCarcinoma, HepatocellularLiver NeoplasmsTranscriptomeBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisAsparagineBiomarkers, Tumorasparagine metabolismhepatocellular carcinomaprognosis-related genessingle-cell RNA

Identifiers

PMID42196419
PMCPMC13207429

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.