Evidence map›Paper›PMID 35223517›Full record

ArticleFrontiers in oncology2022

The Effects and Underlying Mechanisms of Hepatitis B Virus X Gene Mutants on the Development of Hepatocellular Carcinoma.

Rui Pu, Wenbin Liu, Xinyu Zhou, Xi Chen, Xiaomei Hou, Shiliang Cai, Liping Chen, Jianfeng Wu, Fan Yang, Xiaojie Tan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 23 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

13 authors at 3 institutions in 1 country.

Rui PuDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Wenbin LiuDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Xinyu ZhouDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Xi ChenDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Xiaomei HouDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Shiliang CaiDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Liping ChenDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Jianfeng WuDepartment of Pathology, Xijing Hospital, Xi'an, China.
Fan YangDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Xiaojie TanDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Jianhua YinDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Xin WangLaboratory of Molecular Cell Biology, Institute of Biochemistry and Cell Biology, Shanghai Institute for Biological Science, Chinese Academy of Science, Shanghai, China.
Guangwen CaoDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Second Military Medical University · CNCenter for Excellence in Molecular Cell Science · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to elucidate the mechanism by which hepatitis B virus X (HBx) mutations increase the occurrence of hepatocellular carcinoma (HCC) and identify novel putative therapeutic targets. Wild-type HBx (WT-HBx) and four HBx mutants (M1, A1762T/G1764A; M2, T1674G+T1753C+A1762T/G1764A; M3, C1653T+T1674G+A1762T/G1764A; and Ct-HBx, carboxylic acid-terminal truncated HBx) were delivered into

Indexed as

CDC20hepatitis B virushepatocarcinogenesisinflammationmutationPAI1

Identifiers

PMID35223517
PMCPMC8867042
OpenAlexW4226047301

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.