Evidence map›Paper›PMID 36680094›Full record

ArticleViruses2022

Critical Assessment of Whole Genome and Viral Enrichment Shotgun Metagenome on the Characterization of Stool Total Virome in Hepatocellular Carcinoma Patients.

Fan Zhang, Andrew Gia, Guowei Chen, Lan Gong, Jason Behary, Georgina L Hold, Amany Zekry, Xubo Tang, Yanni Sun, Emad El-Omar and 1 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. JHEP reports : innovation in hepatology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
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

11 authors at 2 institutions in 2 countries.

Fan ZhangMicrobiome Research Centre, St George and Sutherland Clinical School, University of New South Wales, Sydney, NSW 2217, Australia.ORCID 0000-0001-8377-0235
Andrew GiaMicrobiome Research Centre, St George and Sutherland Clinical School, University of New South Wales, Sydney, NSW 2217, Australia.
Guowei ChenDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-1071-4993
Lan GongMicrobiome Research Centre, St George and Sutherland Clinical School, University of New South Wales, Sydney, NSW 2217, Australia.ORCID 0000-0003-3136-1565
Jason BeharyMicrobiome Research Centre, St George and Sutherland Clinical School, University of New South Wales, Sydney, NSW 2217, Australia.
Georgina L HoldMicrobiome Research Centre, St George and Sutherland Clinical School, University of New South Wales, Sydney, NSW 2217, Australia.
Amany ZekryMicrobiome Research Centre, St George and Sutherland Clinical School, University of New South Wales, Sydney, NSW 2217, Australia.
Xubo TangDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Yanni SunDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Emad El-OmarMicrobiome Research Centre, St George and Sutherland Clinical School, University of New South Wales, Sydney, NSW 2217, Australia.ORCID 0000-0002-0011-3924
Xiao-Tao JiangMicrobiome Research Centre, St George and Sutherland Clinical School, University of New South Wales, Sydney, NSW 2217, Australia.ORCID 0000-0003-1804-5314
Sutherland Hospital · AUCity University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses are the most abundant form of life on earth and play important roles in a broad range of ecosystems. Currently, two methods, whole genome shotgun metagenome (WGSM) and viral-like particle enriched metagenome (VLPM) sequencing, are widely applied to compare viruses in various environments. However, there is no critical assessment of their performance in recovering viruses and biological interpretation in comparative viral metagenomic studies. To fill this gap, we applied the two methods to investigate the stool virome in hepatocellular carcinoma (HCC) patients and healthy controls. Both WGSM and VLPM methods can capture the major diversity patterns of alpha and beta diversities and identify the altered viral profiles in the HCC stool samples compared with healthy controls. Viral signatures identified by both methods showed reductions of Faecalibacterium virus Taranis in HCC patients' stool. Ultra-deep sequencing recovered more viruses in both methods, however, generally, 3 or 5 Gb were sufficient to capture the non-fragmented long viral contigs. More lytic viruses were detected than lysogenetic viruses in both methods, and the VLPM can detect the RNA viruses. Using both methods would identify shared and specific viral signatures and would capture different parts of the total virome.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsVirusesEcosystemGenome, ViralHumansMetagenomeMetagenomicsViromedeep sequencinghepatocellular carcinomametagenometotal virome

Identifiers

PMID36680094
PMCPMC9866815
OpenAlexW4313327842

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.