Evidence map›Paper›PMID 39179940›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2025

A mutational signature and ARID1A mutation associated with outcome in hepatocellular carcinoma.

Wei Zhou, Hao Chi, Xiaohu Zhao, Guangrong Tao, Jianhe Gan

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2025. 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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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

1 citing paper in PubMed.

  1. In silico pharmacology · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wei Zhou *Department of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
Hao Chi *Department of Medical Laboratory, Huaian Hospital of Huaian City, Huaian, China.
Xiaohu ZhaoDepartment of Infectious Diseases, Huaian Hospital of Huaian City, Huaian, China.
Guangrong TaoDepartment of Infectious Diseases, Huaian Hospital of Huaian City, Huaian, China.
Jianhe GanDepartment of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China. lipingliping999@126.com.ORCID http://orcid.org/0000-0003-0652-1483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe prognosis of hepatocellular carcinoma (HCC) is poor and there is no stable and reliable molecular biomarker for evaluation. This study attempted to find reliable prognostic markers from tumor mutational profiles.

methodsA total of 362 HCC samples with whole-exome sequencing were collected as discovery datasets, and 200 samples with targeted sequencing were used for validation of the relevant results. All HCC samples were obtained from previously published studies. Bayesian non-negative matrix factorization was used to extract mutational signatures, and multivariate Cox regression models were utilized to identify the prognostic role of mutational factors. Gene set enrichment analysis was employed to discover potential signaling pathways associated with specific mutational groups.

resultsIn the HCC discovery dataset, a total of four mutational signatures (i.e., signatures 4, 6, 16, and 22) were extracted, of which signature 16 characterized by T>C mutations was observed to be associated with favorable HCC prognosis, and this correlation was also found in the validation dataset. Further analysis showed that patients with ARID1A mutations exhibited inferior survival outcomes in both discovery and validation datasets. Mechanistic exploration revealed that the presence of signature 16 was associated with better immune infiltration and tumor immunogenicity, while patients with ARID1A mutations were away from these favorable immunological features.

conclusionBy integrating somatic mutation data and clinical information of HCC, this study identified that signature 16 and ARID1A mutations were associated with better and worse outcomes respectively, providing a basis for prognosis prediction and clinical treatment strategies of HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularDNA-Binding ProteinsLiver NeoplasmsMutationTranscription FactorsAgedExome SequencingFemaleHumansMaleMiddle AgedPrognosisARID1A protein, humanBiomarkers, TumorDNA-Binding ProteinsTranscription FactorsARID1A mutationHepatocellular carcinomaImmunityMutational signature 16Survival outcome

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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.