Evidence map›Paper›PMID 39903352›Full record

ArticleDiscover oncology2025

Key oncogenes and candidate drugs for hepatitis-B-driven hepatocellular carcinoma progression.

Liqin Ruan, Ningbo Fang, Xinhua Zhao, Weili Chen, Zhaoping Wu, Xiaoyong Wu

Abstract read
In one paragraph

Article in Discover oncology, 2025. 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

6 authors.

Liqin RuanJiuiiang City Key Laboratory of Cell Therapy, JiuJiang NO.1 People's Hospital, Jiujiang, China.
Ningbo FangJiuiiang City Key Laboratory of Cell Therapy, JiuJiang NO.1 People's Hospital, Jiujiang, China.
Xinhua ZhaoJiuiiang City Key Laboratory of Cell Therapy, JiuJiang NO.1 People's Hospital, Jiujiang, China.
Weili ChenJiuiiang City Key Laboratory of Cell Therapy, JiuJiang NO.1 People's Hospital, Jiujiang, China.
Zhaoping WuJiuiiang City Key Laboratory of Cell Therapy, JiuJiang NO.1 People's Hospital, Jiujiang, China.
Xiaoyong WuJiuiiang City Key Laboratory of Cell Therapy, JiuJiang NO.1 People's Hospital, Jiujiang, China. 2107744931@qq.com.

Funding

Ningxia Hui Autonomous Region key research and development program project 2022BEG03163Ningxia Natural Science Foundation 2021AAC03297
6 · The paper itself

Abstract

backgroundThis study aimed to uncover the key hepatitis-B (HB)-related liver cancer (LC) promoting genes, and clarity their interrelationships, enrichments, impacts on LC immune infiltration, and potential drugs targeting these genes.

methodsThe LC-survival associated genes were acquired from the LIHC samples of the TCGA-database; and HB related genes from the DisGeNET database. The intersection was used to screen the key genes. Using the 8 HB-LC genes, we constructed prognostic models for survival prediction of HBV positive patients with LIHC and performed enrichment analysis, interaction analysis, immune infiltration analysis, and potential drug digging from the GTRP and GDSC databases.

resultsIn the core intersection of different sets. Based on these genes, prognostic cox regression models for OS and DFS were constructed. Overall, HB-LC genes were significantly negatively correlated with Th17, MAIT, monocytes, and CD4 Naive cells, while they were positively correlated with B cells, nTreg cells, and Tr1 cells. Among 8 genes, MKI67, EZH2, and CDCA5 were hub ones. Finally, 7 drugs target at least three HB-LC genes and can be used as novel drugs.

conclusionsTogether, eight key HB-LC genes play important cancer-promoting roles in LC, which may be the molecular mechanism by which HBV drives the development of LC.

Indexed as

BioinformaticsHepatitis B virusHepatocellular carcinomaLiver cancerSurvival

Identifiers

PMID39903352
PMCPMC11794919

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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.