Evidence map›Paper›PMID 35765099›Full record

ArticleVirology journal2022

Sparse logistic regression revealed the associations between HBV PreS quasispecies and hepatocellular carcinoma.

Jian-An Jia, Shuqin Zhang, Xin Bai, Meng Fang, Shipeng Chen, Xiaotao Liang, Shanfeng Zhu, Danny Ka-Ho Wong, Anye Zhang, Jianfeng Feng and 2 more

Abstract read
In one paragraph

Article in Virology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

12 authors.

Jian-An Jia *Department of Laboratory Medicine, Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai, 200438, China.
Shuqin Zhang *Centre for Computational Systems Biology, School of Mathematical Sciences, Fudan University, Shanghai, 200433, China.
Xin BaiMolecular and Computational Program, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, 90089, USA.
Meng FangDepartment of Laboratory Medicine, Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai, 200438, China.
Shipeng ChenDepartment of Laboratory Medicine, Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai, 200438, China.
Xiaotao LiangDepartment of Computer Science, Fudan University, Shanghai, 200433, China.
Shanfeng ZhuDepartment of Computer Science, Fudan University, Shanghai, 200433, China.
Danny Ka-Ho WongState Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong SAR, China.
Anye ZhangDepartment of Medicine, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, China.
Jianfeng FengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.
Fengzhu SunMolecular and Computational Program, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, 90089, USA. fsun@usc.edu.
Chunfang GaoDepartment of Laboratory Medicine, Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai, 200438, China. gaocf1115@163.com.ORCID 0000-0002-4891-2944

Funding

Computational Studies of Virus-host Interactions Using Metagenomics Data and ApplicationsR01GM120624 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AHLGREN, NATHAN, SUN, FENGZHU · 2017 to 2020
$1.7M
NIGMS NIH HHS R01 GM120624NIH HHS NIHR01GM120624
6 · The paper itself

Abstract

backgroundChronic infection with hepatitis B virus (HBV) has been proved highly associated with the development of hepatocellular carcinoma (HCC).

aimsThe purpose of the study is to investigate the association between HBV preS region quasispecies and HCC development, as well as to develop HCC diagnosis model using HBV preS region quasispecies.

methodsA total of 104 chronic hepatitis B (CHB) patients and 117 HBV-related HCC patients were enrolled. HBV preS region was sequenced using next generation sequencing (NGS) and the nucleotide entropy was calculated for quasispecies evaluation. Sparse logistic regression (SLR) was used to predict HCC development and prediction performances were evaluated using receiver operating characteristic curves.

resultsEntropy of HBV preS1, preS2 regions and several nucleotide points showed significant divergence between CHB and HCC patients. Using SLR, the classification of HCC/CHB groups achieved a mean area under the receiver operating characteristic curve (AUC) of 0.883 in the training data and 0.795 in the test data. The prediction model was also validated by a completely independent dataset from Hong Kong. The 10 selected nucleotide positions showed significantly different entropy between CHB and HCC patients. The HBV quasispecies also classified three clinical parameters, including HBeAg, HBVDNA, and Alkaline phosphatase (ALP) with the AUC value greater than 0.6 in the test data.

conclusionsUsing NGS and SLR, the association between HBV preS region nucleotide entropy and HCC development was validated in our study and this could promote the understanding of HCC progression mechanism.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHepatitis B Surface AntigensHepatitis B virusHumansLogistic ModelsNucleotidesQuasispeciesHepatitis B Surface AntigensNucleotidesHBV quasispeciesHepatocellular carcinomaNext generation sequencing (NGS)PreS regionSparse logistic regression (SLR)

Identifiers

PMID35765099
PMCPMC9238101

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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.