Evidence map›Paper›PMID 42179967›Full record

ArticleMolecular therapy. Oncology2026

An integrative transcriptomic analysis for prognosis and tumor microenvironment in HBV/HCV-associated hepatocellular carcinoma.

Fahimeh Safarnezhad Tameshkel, Niloufar Sadat Kalaki, Elham Karimi, Mohammad Hossein Razizadeh, Abed El Hasan Haidar, Ali Amiri, Mohammadreza Zaki, Mehdi Nikkhah, Mohammad Hadi Karbalaie Niya

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Fahimeh Safarnezhad TameshkelGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Niloufar Sadat KalakiStudent Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Elham KarimiStudent Research Commitee, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein RazizadehCentre for Phage Research, Department of Genetics and Genome Biology, University of Leicester, Leicester, UK.
Abed El Hasan HaidarGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Ali AmiriDepartment of Internal Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mohammadreza ZakiGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mehdi NikkhahGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Hadi Karbalaie NiyaGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide; molecular biomarkers that reflect hepatitis B virus (HBV)/hepatitis C virus (HCV)-associated tumor biology and predict prognosis or therapeutic vulnerabilities are needed. The research is a secondary analysis of public data (secondary data analysis) based on Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data to identify differentially expressed genes (DEGs) common to HBV-HCC, HCV-HCC, and non-viral HCC datasets. Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, protein-protein interaction (PPI) network analysis, and hub-gene selection were then performed. Differential expression, prognostic association, immune-infiltration, and drug-sensitivity correlations were also analyzed. Eighty common DEGs (73 upregulated, 7 downregulated) were identified. PPI topological analysis yielded 53 hub genes; five genes

Indexed as

bioinformaticsDEGsdifferentially expressed geneshepatocellular carcinomahub genemolecular biomarkerPPI networkprognosisprotein-protein interaction networktarget-specific therapiestranscriptomic analysistumor biologviral hepatitis

Identifiers

PMID42179967
PMCPMC13194170

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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.