Evidence map›Paper›PMID 41398172›Full record

ArticleAnnals of medicine2025

Prognostic and immunological implications of sialylation-associated gene signatures in hepatocellular carcinoma.

Guan-Qing Wang, Kang Du, Yu-Peng Wang

Abstract read
In one paragraph

Article in Annals of medicine, 2025. 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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0citing 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Guan-Qing WangDepartment of Oncology, Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Kang DuDepartment of Radiology, Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Yu-Peng WangDepartment of General Surgery Ward 3, Bethune International Peace Hospital, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe absence of effective biomarkers continues to limit early diagnostic accuracy and prognostic evaluation in patients with hepatocellular carcinoma (HCC). Aberrant sialylation (SI) has been demonstrated to contribute to therapeutic resistance and tumor progression. The aim of this investigation was to identify a sialylation-related gene (SRG) signature, evaluate its prognostic significance, and investigate associated immunological characteristics in HCC.

methodsTranscriptomic profiles and corresponding clinical data for patients with HCC were obtained from UCSC Xena, the International Cancer Genome Consortium (ICGC), and the Molecular Signatures Database (MsigDB). Differential expression analysis, Cox regression analysis modeling, and least absolute shrinkage and selection operator (LASSO) regression analysis were applied to identify independent prognostic markers and develop predictive models. The tumor immune microenvironment and its relationship with the identified SRGs were assessed by evaluating immune infiltration patterns. A gene co-expression network for the prognostic SRGs was constructed using GeneMANIA to identify potentially targetable signaling pathways.

resultsFour SRGs (

conclusionThe four identified SRGs were significantly associated with clinical outcomes and immunological features in HCC. These findings provide a foundation for advancing early diagnostic strategies, refining prognostic assessments, and guiding personalized therapeutic approaches for patients with HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedN-Acetylneuraminic AcidPrognosisSialyltransferasesTranscriptomeTumor MicroenvironmentBiomarkers, TumorN-Acetylneuraminic AcidSialyltransferasesBiomarkerhepatocellular carcinomaimmune microenvironmentprognosissialylation

Identifiers

PMID41398172
PMCPMC12710266

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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.