Evidence map›Paper›PMID 31980025›Full record

ArticleWorld journal of surgical oncology2020

16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer.

Huisong Lee, Hyeon Kook Lee, Seog Ki Min, Won Hee Lee

Open access · goldAbstract readComparative Study
In one paragraph

Article in World journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Oral and Pancreatobiliary Microbiota in Cancer: A Systematic Review of Compositional Alterations and Their Clinical Implications.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
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  5. Microbial dysbiosis in cholangiocarcinoma.Frontiers in microbiology · 2026
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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

4 authors at 2 institutions in 1 country.

Huisong LeeDepartment of Surgery, Ewha Womans University College of Medicine, 1071 Anyangcheon-ro, Yangcheon-gu, Seoul, 07985, South Korea.
Hyeon Kook LeeDepartment of Surgery, Ewha Womans University College of Medicine, 1071 Anyangcheon-ro, Yangcheon-gu, Seoul, 07985, South Korea. leehnkk@gmail.com.ORCID http://orcid.org/0000-0002-7975-2672
Seog Ki MinDepartment of Surgery, Ewha Womans University College of Medicine, 1071 Anyangcheon-ro, Yangcheon-gu, Seoul, 07985, South Korea.
Won Hee LeeMD Healthcare Inc., Seoul, South Korea.
Ewha Womans University · KREwha Womans University Medical Center · KR

Funding

National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning 2017R1C1B5017902National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning NRF-2017M3A9F3047497
6 · The paper itself

Abstract

backgroundThe aim of this study is to investigate the composition of microbiota in biliary tract cancer patients and healthy adults by metagenome analysis and evaluate its potential values as biomarkers for biliary tract cancer.

methodsPatients who were diagnosed with biliary tract cancer or benign inflammation were enrolled in this study. The control group consisted of healthy adults who presented with no history of significant medical issues. We isolated bacteria-derived extracellular vesicles in the plasma. The microbiome composition was investigated with 16S rDNA metagenome analysis. We evaluated each microbiome to ensure suitability for the biliary tract cancer prediction model.

resultsA total of 155 patients were included in this study: 24 patients with diagnosed biliary tract cancers, 43 diagnosed with cholecystitis or cholangitis, and 88 healthy adults. The microbiome composition pattern of the biliary tract cancer differed from the microbiome composition pattern seen in healthy adult group in beta diversity analysis. The percent composition of microbiota was found to be different from the phylum to genus level. Differences in the composition of the Bifidobacteriaceae and Pseudomonaceae families and Corynebacteriaceae Corynebacterium, Oxalobacteraceae Ralstonia and Comamonadaceae Comamonas species may be used to develop predictive models for biliary tract cancer.

conclusionBiliary tract cancer patients have altered microbiome composition, which represents a promising biomarker to differentiate malignant biliary tract disease from normal control group.

Indexed as

MicrobiotaAdultAgedBacteriaBiliary Tract DiseasesBiliary Tract NeoplasmsBiomarkers, TumorDNA, RibosomalExtracellular VesiclesHumansMiddle AgedRNA, Ribosomal, 16SBiomarkers, TumorDNA, RibosomalRNA, Ribosomal, 16SBiomarkersExtracellular vesiclesGallbladder neoplasmsMetagenomeMicrobiota

Identifiers

PMID31980025
PMCPMC6982396
OpenAlexW3004759404

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.