Evidence map›Paper›PMID 36943499›Full record

ArticleAMB Express2023

Identification reproducible microbiota biomarkers for the diagnosis of cirrhosis and hepatocellular carcinoma.

Huarong Zhang, Junling Wu, Yijuan Liu, Yongbin Zeng, Zhiyu Jiang, Haidan Yan, Jie Lin, Weixin Zhou, Qishui Ou, Lu Ao

Open access · goldFull text read
PubMed Full text at PMC Publisher
In one paragraph

Article in AMB Express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  12. Ethanol-ProducingMicroorganisms · 2023
    Article
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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

10 authors at 1 institution in 1 country.

Huarong Zhang *Key Laboratory of Ministry of Education for Gastrointestinal Cancer, the School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
Junling Wu *Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China.
Yijuan Liu *Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China.
Yongbin ZengDepartment of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
Zhiyu JiangDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China.
Haidan YanKey Laboratory of Ministry of Education for Gastrointestinal Cancer, the School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
Jie LinDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China.
Weixin ZhouDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China.
Qishui OuDepartment of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China. ouqishui@fjmu.edu.cn.
Lu AoKey Laboratory of Ministry of Education for Gastrointestinal Cancer, the School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China. lukey@fjmu.edu.cn.ORCID http://orcid.org/0000-0001-7378-4967
Fujian Medical University · CN

Funding

Joint research program of health and education in Fujian Province 2019-WJ-32Key Program of National Natural Science Foundation of China 82030063National Natural Science Foundation of China 82172338Natural Science Foundation of Fujian Province 2020J01600The open project for Fujian Key Laboratory of Medical Bioinformatics FKLMB-202001
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a malignant tumor with high incidence in China, which is mainly related to chronic hepatitis B (CHB) and liver cirrhosis (LC) caused by hepatitis B virus (HBV) infection. This study aimed to identify reproducible gut microbial biomarkers across Chinese population for LC and HCC diagnosis. In this study, a group of 21 CHB, 25 LC, 21 HCC and 15 healthy control (HC) were examined, and used as the training data. Four published faecal datasets from different regions of China were collected, totally including 121 CHB, 33 LC, 70 HCC and 96 HC. Beta diversity showed that the distribution of community structure in CHB, LC, HCC was significantly different from HC. Correspondingly, 14 and 10 reproducible differential genera across datasets were identified in LC and HCC, respectively, defined as LC-associated and HCC-associated genera. Two random forest (RF) models based on these reproducible genera distinguished LC or HCC from HC with an area under the curve (AUC) of 0.824 and 0.902 in the training dataset, respectively, and achieved cross-region validations. Moreover, AUCs were greatly improved when clinical factors were added. A reconstructed random forest model on eight genera with significant changes between HCC and non-HCC can accurately distinguished HCC from LC. Conclusively, two RF models based on 14 reproducible LC-associated and 10 reproducible HCC-associated genera were constructed for LC and HCC diagnosis, which is of great significance to assist clinical early diagnosis.

Indexed as

Diagnostic biomarkersGut microbiotaHepatocellular carcinomaLiver cirrhosisReproducible genera

Identifiers

PMID36943499
PMCPMC10030758
OpenAlexW4328049819

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read23
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.