Evidence map›Paper›PMID 33907440›Full record

ArticleJournal of inflammation research2021

Comprehensive Identification of Bridge Genes to Explain the Progression from Chronic Hepatitis B Virus Infection to Hepatocellular Carcinoma.

Wenwei Nong, Liping Ma, Biyang Lan, Ning Liu, Hongzhi Yang, Xiaoxia Lao, Qiaomei Deng, Zhihu Huang

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Wenwei Nong *Department of General Surgery, Affiliated Minzu Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Liping Ma *Department of Clinical Laboratory, Affiliated Minzu Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Biyang LanDepartment of General Surgery, Affiliated Minzu Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Ning LiuDepartment of General Surgery, Affiliated Minzu Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Hongzhi YangDepartment of General Surgery, Affiliated Minzu Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Xiaoxia LaoDepartment of Clinical Laboratory, Affiliated Minzu Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Qiaomei DengDepartment of Clinical Laboratory, Affiliated Minzu Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Zhihu HuangDepartment of Clinical Laboratory, Affiliated Minzu Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis B virus infection co-occurs in 33% of individuals with hepatocellular carcinoma worldwide. However, the molecular link between hepatitis B virus and hepatocellular carcinoma is unknown. Thus, we aimed to elucidate molecular linkages underlying pathogenesis through in-depth data mining analysis. MATERIALS AND

methodsDifferentially expressed genes were identified from patients with chronic hepatitis B virus infection, hepatocellular carcinoma, or both. Gene set enrichment analysis revealed signaling pathways involving differentially expressed genes. Protein-protein interaction networks, protein crosstalk, and enrichment were analyzed to determine whether differentially expressed gene products might serve as a bridge from hepatitis B virus infection to hepatocellular carcinoma pathogenesis. Prognostic potential and transcriptional and post-transcriptional regulators of bridge genes were also examined.

resultsWe identified vital bridge factors in hepatitis B virus infection-associated hepatocellular carcinoma. Differentially expressed genes were clustered into modules based on relative protein function. Signaling pathways associated with cancer, inflammation, immune system, and microenvironment showed significant crosstalk between modules. Thirty-two genes were dysregulated in hepatitis B virus infection-mediated hepatocellular carcinoma. CPEB3, RAB26, SLCO1B1, ST3GAL6 and XK had higher connectivity in the modular network, suggesting significant associations with survival. CDC20 and NUP107 were identified as driver genes as well as markers of poor prognosis.

conclusionOur results suggest that the sustained inflammatory environment created by hepatitis B virus infection is a risk factor for hepatocellular carcinoma. The identification of hepatitis B virus infection-related hepatocellular carcinoma bridge genes provides testable hypotheses about the pathogenesis of hepatocellular carcinoma.

Indexed as

chronic hepatitis B virus infectionhepatocellular carcinomamolecular processesprotein-protein interactionssignaling pathways

Identifiers

PMID33907440
PMCPMC8071210
OpenAlexW3156441491

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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.